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ECOPOTENTIAL: Improving Future Ecosystem Benefits through Earth Observation
ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
ECOPOTENTIAL: Improving Future Ecosystem Benefits through Earth Observations
Newsletter n. 12 – ECOPOTENTIAL Project – April 2019 Dear Readers, We are approaching the conclusions of the ECOPOTENTIAL project and we are reaping the results of the project. This issue of the project newsletter is particularly rich of research results: three reviews of published papers and three models and algorithms available from the ECOPOTENTIAL Virtual Laboratory. Both the papers and the models cover a very varied array of topics: from wetlands management to invasive species and carbon budget in forests, they represent the wide variety of topics faced in ECOPOTENTIAL, all contributing to enhancing the knowledge needed for improving the conservation of natural ecosystems, either with direct conservation actions and with policy measures. From May 20 to May 24, the fourth and last ECOPOTENTIAL general meeting will take place in Rome. It will be the occasion to discuss and wrap up the scientific results and look forward to feed other projects and initiatives as GEO ECO, though a lively community of practice.
Enjoy reading this 12st issue of the Newsletter and come to us with questions and comments to know more about our project and to be engaged in fruitful and intriguing discussions in this last project months! Antonello Provenzale, National Research Council of Italy, Coordinator of ECOPOTENTIAL
The tundra at Ny Ålesund scientific base, Svalbard, NO, August 2018. © SG
ECOPOTENTIAL: Improving Future Ecosystem Benefits through Earth Observation
ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
Effective use of Remote Sensing Data for Conservation of Mediterranean Wetlands: a contribution from Tour du Valat to ECOPOTENTIAL Ilse Geijzendorffer, Tour du Valat (FR) Effective management of protected areas is a real challenge to achieve under the impacts of global change, with governance styles and contexts differing between countries. Being able to make informed decision based on which measures are effective and where they should particularly be enforced helps both protected area managers as well as decision makers to address the ongoing degradation of habitats and loss of biodiversity. This in turns helps countries progress on several Sustainable Development Goals as well as the Aichi targets.
The Tour du Valat research institute has been able to work with other partners from the ECOPOTENTIAL project to strengthen the potential use cases of remote sensing data for the management of protected areas, the mapping of habitats and the identification of climate change impacts towards the future. This has led to a joint publication with the sister project SWOS (H2020 grant agreement No 642088) on how changes in the extent in Mediterranean wetlands could be mapped and which methodological challenges remain (Perennou et al., 2018). With the Ramsar convention hosting the work on indicator 6.6.1 (change in extent of water-related ecosystems) for the Sustainable Development Goals, ongoing work in ECOPOTENTIAL contributes to both informed decisions for wetlands managers as well as global policy conventions. In 2018, the Tour du Valat was able to launch the second edition of the Mediterranean Wetland Outlook, a report on the status and trends of Mediterranean wetlands for the Mediterranean countries that are committed to the Ramsar
convention (Mediterranean Wetland Observatory, 2018).
In this report, the collaboration with ECOPOTENTIAL partner iDiV was especially fruitful in identifying the future impacts of climate change on Mediterranean wetlands and whether the highest impacts coincide with a protection status. Roxanne Leberger (iDiV) together with colleagues from iDiV and Tour du Valat just submitted a manuscript in which she determined that it seems more to be the inverse: wetlands with the highest climate change impacts (precipitation and temperature) are also least covered by protection status (Leberger et al., submitted).
In another recent paper, we use the findings of the Mediterranean wetland The Camargue at sunset. © SG
ECOPOTENTIAL: Improving Future Ecosystem Benefits through Earth Observation
ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
Outlook 1 and 2 as well as findings from ongoing research in the ECOPOTENTIAL project to distill recommendations for the Ramsar convention to help Mediterranean countries to become more effective in their conservation and sustainable management of Mediterranean wetlands (Geijzendorffer et al., 2019). One of our recommendations is that remote sensing data and easy interpretation interfaces, like those developed in the ECOPOTENTIAL project, can help countries and site managers with limited means and capacities in obtaining some continuous monitoring information at site level. References:
Perennou C, Guelmami A, Paganini M, Philipson P, Poulin B, Strauch A, Tottrup C, Truckenbrodt J, Geijzendorffer IR. Mapping Mediterranean wetlands with remote sensing: a good-looking map is not always a good map. In Advances in Ecological Research 2018 Jan 1 (Vol. 58, pp. 243-277). Academic Press. https://doi.org/10.1016/bs.aecr.2017.12.002
Mediterranean Wetland Observatory (2018). Mediterranean Wetland Outlook 2: Solutions for sustainable Mediterranean Wetlands, eds I. R Geijzendorffer, L. Chazée, E. Gaget, T. Galewski, A. Guelmami, and C. Perennou (Tour du Valat) (Available online at: https://tourduvalat.org/en/actualites-en/press-releaseextreme-climatic-events-biodiversity-loss-what-if-wetlands-were-part-ofthe-solution/)
Leberger R., Geijzendorffer I.R, Gaget E., Guelmami A., Galewski T., Pereira H.M. and Guerra C.A. submitted “Mediterranean wetland conservation in the context of climate and land cover change”
Geijzendorffer IR, Beltrame C, Chazee L, Gaget E, Galewski T, Guelmami A, Perennou C, Popoff N, Guerra C, Leberger R, Jalbert J. A more effective Ramsar Convention for the conservation of Mediterranean wetlands. Frontiers in Ecology and Evolution. 2019;7:21. doi: 10.3389/fevo.2019.00021
How can we obtain high quality MODIS images by automatic selection? Cristina Domingo, CREAF (ES) A review of the ECOPOTENTIAL paper: L. Pesquer, C. Domingo-Marimon, X. Pons (2019), "Spatial and spectral pattern identification for the automatic selection of high quality MODIS images", Journal of Applied Remote Sensing, 13(1), 014510. doi: 10.1117/1.JRS.13.014510. One of the favourite instruments of the Remote Sensing (RS) research community is the long-life MODIS (Moderate-resolution Imaging Spectroradiometer) which is collecting data since 2000 on board of the Terra (EOS/AM-1) satellite. The versatility of the instrument, which achieves a fascinating balance between temporal, spectral, spatial and radiometric resolutions, allows interesting finds and analysis of land, ocean and atmosphere processes and results in a better understanding of global changes by monitoring environmental and ecological dynamics. Another reason of the success of MODIS is the large variety of processed products being distributed, from raw radiance and surface reflectance to derived vegetation indices or particulate organic/inorganic carbon. Finally, MODIS data has been always free and open accessible. MODIS is a passive sensor with 36 spectral bands and covers from visible to thermal infrared (0.45 to 14.385 μm 14.385 μm) wavelengths at medium spatial resolution (from 250 m to 1 km at nadir).
However, this dataset can contain images with specific issues that could reduce their quality. For instance, several atmospheric effects interfere with the remotely sensed signal. In particular, cloud coverage or aerosols (pollution, dust, sea salt, etc.) interfere on the measurement of land surface
ECOPOTENTIAL: Improving Future Ecosystem Benefits through Earth Observation
ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
conditions. The Clouds, and their projected shadows over the Earth, represent indeed the major constraint on applications of optical remote sensing. Their automatic detection is still a challenge to overcome, especially when automatic methods for analysing large volumes of data are used. Moreover, MODIS has a singular field of view of 110 degrees that, combined with its distance to the ground, achieves a wide swath covering 2330 km (across track) in one scan, causing a panoramic distortion whereas partially overlapping scans produce data repetition.
This feature, known as the bow-tie effect, is exacerbated by Earth’s curvature (bands with a spatial resolution of 250 m at nadir have 1207 m at the image edges, while 1 km resolution bands have 4816 m at the image edges). In addition, these data might also have some inaccuracies derived from the different levels of post-acquisition processing, such as detector noise or data faults. Although many of these issues can be filtered out using the MODIS ancillary data, the long-time series of daily images do not facilitate the work performed by technicians of selecting high quality images before its massive analysis. Therefore, advancing in more complete, yet automatic, methods for selecting high-quality images becomes necessary.
Indeed, a range of methods for selecting a subset of high-quality images while preserving their original values already exist, but the advancement achieved by our work consists in providing an automatic selection based on a geostatistical approach together with a tailor-made set of spatial pattern analysis tools. The idea behind this research is that the spatial and spectral patterns of images are key for filtering data. Certainly, among others, geostatistics can provide parameters for describing spatial patterns and modelling uncertainty in spatial analyses. For instance, MODIS images can be analysed using a variogram analysis in order to identify those presenting higher quality. This analysis can be performed using any of the bands of MODIS or some combination of them. However, the spatial pattern characterized by the variogram is dependent on the spectral band, so the band (or bands
combination) to be used should not be randomly chosen, but it is recommended to use the one that best describes the structural parameters of the variogram. Therefore, it is important to previously analyse which band results in a subsequent better selection of high-quality images.
ECOPOTENTIAL uses long time series of MODIS data for monitoring the evolution of changes, so there is a clear need of achieving an automatic and massive geoprocessing environment implemented in a chain of GIS and RS algorithms to manage huge series of RS data. ECOPOTENTIAL has worked on the analysis of which band of MODIS provides better results in automatic selection of high quality images. With this aim, we have
explored the influence of the spatial pattern of different MODIS spectral bands (bands 01, 02, 03, 04, 06, and 07) and the first component of the principal component analysis (PCA) of two subsets of spectral bands on the variability of the variogram.
ECOPOTENTIAL: Improving Future Ecosystem Benefits through Earth Observation
ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
A quality filtering by expert and comparison with present methodology have been carried on. The results show that the highest accuracy of automatic selection is achieved using band 01 (93.0%) and band 03 (91.6%), corresponding to the red and blue visible spectrum bands, respectively. On the other hand, the least appropriated bands are band 02 (64.8%) and band 07 (80.3%), corresponding to the NIR1 and SWIR2 regions of the electromagnetic spectrum, respectively. These bands are the most sensitive to phenology and vegetation water content, both of which show strong seasonal variability that decreases the effectivity of the variogram analysis. The combination of bands does not improve the best results of each individual one, the combination merges patterns and it difficult a bit more the automatic selection of high-quality images.
In addition, we propose a protocol adaptable to different study regions in order to select the optimal band to be used in the geostatistical approach. This is especially recommended in those regions with strong seasonal vegetation changes where the methodology will automatically discard the bands presenting large anomalies regarding the global spatial pattern, appointing the band that will obtain a time series of high-quality images. Finally, the analysis and results demonstrate that the approach is suitable for processing huge amounts of RS data, such as data provided by the MODIS Terra (or Aqua) full archive, with very low human dedication to the task and a modest computational effort.
Is Landscape Affecting Carbon Cycling Processes in Mountain Forest Catchments? Johannes Kobler, Environmental Agency of Austria - Austria A Review of the ECOPOTENTIAL paper: Kobler, J., Zehetgruber, B., Dirnböck, T., Jandl, R., Mirtl, M., Schindlbacher, A. 2019. Effects of aspect and altitude on carbon cycling processes in a temperate mountain forest catchment. Landscape Ecology 34: 325-340. https://doi.org/10.1007/s10980-019-00769-z Mountainous catchments are characterized by complex topographies, which cause steep gradients of altitude and aspect within small distances. By determining microclimatic patterns and gravity driven element fluxes, they render the variation in forest carbon (C) fluxes and pools. While the forest C dynamics are well studied at the plot scale, detailed knowledge about their spatio-temporal structure at the catchment scale is still missing. In this study, we evaluated the effects of altitude and aspect on C cycling in a mountainous forested catchment within the National Park Kalkalpen, Austria. We combined recent field measurements with existing long-term soil- and forest inventory data of eight plots located along two altitudinal gradients at south-west (SW) and north east (NE) facing valley slopes and quantified plant- and soil-related C fluxes and pools.
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ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
We expected lower C fluxes with increasing altitude due to lower temperature and shorter vegetation periods. We hypothesized differences in soil water supply as the major aspect-related driver. Higher radiation input at the SW facing slopes combined with the typically shallow soils may cause frequent water shortage and negative effects on forest C fluxes. However, we found that forest net primary (NPP) and net ecosystem production (NEP) did not show clear altitudinal trends within the relatively narrow altitudinal gradient (~500 m – 900 m) within the catchment. Annual NPP was higher at the SW facing slope (6.6±3.01 tC /ha), when compared to the NE facing slope (4.4±2.61 tC /ha). However, as SR was higher at the SW facing slope too, difference in annual NEP between aspects were balanced out (NE: 1.3±3.23 tC /ha, SW: 1.6±3.34 tC /ha).
Water limitation was most likely prevented by regular and extended precipitation events during the years, whereas the relatively narrow altitudinal gradient within the catchment combined with higher radiation input at the higher than lower parts of the slopes may have prevented altitudinal-related effects on C fluxes. Under current climate conditions, altitude and aspect adversely affect C sequestering and releasing processes, resulting in a relatively uniform forest NEP within the catchment. Under a future climate, however, stronger shifts in temperature and precipitation may disproportionally affect forest C cycling at the southward slopes through increased water limitation.
The ECOPOTENTIAL Virtual Lab – I: A Tool for Raster maps of NDVI, Water Turbidity and Flood Masks from Remote Sensing data An interview with Javier Bustamante, EBD-CSIC, Spain
In this interview with Javier Bustamante (CSIC, Spain) we present here a useful tool for deriving raster maps of NDVI, water turbidity and flood masks from remote sensing data developed by the LAST-EBD remote sensing laboratory of the Spanish National Research Council. The tool can be used through the ECOPOTENTIAL Virtual Laboratory (https://vlab.geodab.eu/). Javier, you are the coordinator of the Doñana Biological Station group that takes part in the ECOPOTENTIAL project. Can you introduce yourself and your research group?
I am Javier Bustamante, a 56 years old ecologist working as researcher at Doñana Biological Station (EBD), a research institute of the Spanish National Research Council (CSIC) located in Seville and managing a scientific reserve at the Doñana National Park in the South West of Spain. I became
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ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
interested in the use of GIS and remote sensing tools for ecology and conservation biology and in 2003 we created at our institute the Remote Sensing and GIS lab (LAST-EBD) where I am the Scientist in charge. I coordinate the work of CSIC in ECOPOTENTIAL project where 10 scientists are involved, but it has been Diego García, a 40 years old Geographer and Python/GIS programmer, who has taken the hard work of transforming our models into code lines in the ECOPOTENTIAL Virtual Laboratory VLAB.
Can you describe the tool that you developed? Our service in the ECOPOTENTIAL Virtual Lab is called LAST-EBD Flood mask, Water Turbidity and NDVI (yes, the name is pretty descriptive). It generates a series of thematic raster maps starting
from a satellite image. Being specific, we use a scene of the Landsat series of satellites from the sensors TM, ETM+ or OLI from which we derive a vegetation index (NDVI), a water turbidity index, and flood mask. The process first generates a normalized image based on pseudo-invariant areas (PIAs) and, based on it, the indicated products. The normalization process is a crucial step to be able to apply the same algorithms to images from different satellite sensors and dates. In a last step, that we are still developing, the flood masks are used to compute
the annual hydroperiod.
Can you explain in more detail what is it meant for? Our model aims to improve the monitoring of certain environmental phenomena that can be studied with remote sensing. The vegetation index like NDVI, for example, is important for a whole series of environmental issues, from the primary production of marsh vegetation to the tracking of forest fires. The monitoring of presence of water in the marsh (which is the heart of Doñana National Park) and the water turbidity, are vital to understand the spatial distribution habitats for waterbirds in the marshland, and even to study issues related to climate change. The models have been developed to cope with a long time series of satellite data and is currently tuned to be applied in Doñana Natural Space.
What are the outputs of the model?
When the calculation process is completely finished, a “scene_output.tar.gz” folder is created, containing three raster files (in GeoTIFF format) of the NDVI, the Flood mask and Water Turbidity mask for the input scene.
Who are the potential users of this service?
Potential users mainly are the managers and technicians of Doñana Natural Space, who need to know the surface of the flooded area, the primary production of the vegetation and the water quality. Nevertheless, our model can be applied to any other Landsat scene; you just need to change the data
LAST EBD scheme
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ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
in the input data folder as these data are specific for the Doñana scene, with some pseudo invariant areas of the new scene and also a new reference scene to perform the normalization.
What should a potential user do to use your model?
Our model runs with Landsat TM, ETM+ and OLI Sensors (Landsat 5, 7 & 8 satellites) for the scene: path 202 - row 34. In order to run it, you need to feed it with two inputs, both compressed in a tar.gz file: one folder called “scene”, with the compressed Landsat scene to be processed, and other folder called “data “with all the
additional info needed to run the process. Second input (“data”) would remain invariable to all Landsat scenes to be processes, so it would be always called through this link:
https://www.dropbox.com/s/pbyutz7b45zv7qw/data.tar.gz?dl=0.
Eventually, users can find more info about our process in GitHub (https://github.com/LAST-EBD/Protocolo/blob/master/Manual.pdf
Whom to contact to have further information?
Javier Bustamante ([email protected]) or Diego García ([email protected])
The ECOPOTENTIAL Virtual Lab – II:
INSTAR: An Agent-based Model for Forecasting and Managing Forest Pests
An interview with María Suárez-Muñoz and Curro (Francisco) Bonet In this short interview the ECOPOTENTIAL scientists Francisco Bonet (University of Cordoba, formerly University of Grenada) and María Suárez-Muñoz (University of Grenada) are presenting the ecological model INSTAR, aimed to simulate the biological cycle of a Mediterranean forest pest called “pine processionary moth”. It is possible to run INSTAR through the ECOPOTENTIAL Virtual Laboratory.
Donana-marshes
Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May
Cells
Hosts
Bags
Moths Cluster of pupae
Bags
BAG MORTALITY
(eggs) OVIPOSITION
MATING
BAG DEVELOPMENT
BAG MORTALITY (Larvae 1)
PROCESSION
PUPAE DEVELOPMENT
PUPAE MORTALITY
Egg mortality
Ovipo
Mating
sition
Hatching
Larvae I mortality
Larvae II mortality
Larvae III–V mortality
Processions Burial site
search
Pupae development
Larvae I-V growth and development
B
A
Moths
Eggs
Larvae
Bags
Larvae Pupae
HOST DEVELOPMENT
BAG MORTALITY (Larvae 2)
Pupae mortality
Moth emergence
BAG DEVELOPMENT
ECOPOTENTIAL: Improving Future Ecosystem Benefits through Earth Observation
ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
Q: María and Francisco, can you please shortly explain us what is INSTAR? A: INSTAR is a digital tool (= a model) able to simulate the biological cycle of a Mediterranean forest pest called “processionary moth” (Thaumetopoea pityocampa). I am sure that you have seen its processions walking through a pine plantation. As you know the larvae of this species are itchy. They feed on pine needles and, since they can reach huge numbers, they can pose a health risk for people sometimes. Q: What is INSTAR meant for? A: This model aims to help us to understand the relationships between the activity of the target forest pest and environmental factors such as climate, topography, structure of the forest, etc. We also aim to forecast the outbreaks of the pest, what would help us to anticipate its negative impacts on both forest and human health. INSTAR has been designed to work on a very detailed spatial scale (around hectares). The shortest temporal scale is one day, but the longer the time series, the most interesting outputs are obtained. Q: Can you tell us more about this model? How was it developed? A: INSTAR was firstly developed in the context of a PhD work done by Lucía Torres Muros (currently working in Ecuador) in 2014. Her field work allowed us to conceptualize the first version of the model. Ramón Pérez-Pérez wisely translated these concepts into a Netlogo Agent-Based Model in 2015. Thanks to ECOPOTENTIAL, María took over in 2016, upgraded the model and documented it using a standard procedure for Agent Based Models. The whole team is currently working to publish the preliminary results in an open access journal. Q: What are the outputs of INSTAR? INSTAR can provide daily maps of pest infestation in the area where the model is executed. It can also provide aggregated information showing the impact of processionary moth in a specific area during the execution time. Since it is an Agent-Based Model, it is possible to obtain outputs showing the infestation of single trees. Q: What input data are necessary? Which ones are obtained via Remote Sensing? Our model requires two types of input data. It needs information on the structure of the target ecosystem: distribution of trees, tree size and tree species, topography. For the current work, the distribution of the trees has been kindly provided by Mihai Tanase, also partner in ECOPOTENTIAL.
He used LIDAR dataset to obtain distribution maps of trees in our target area (Sierra Nevada and Sierra de Baza. Southeastern Spain). This information does not change during the model execution. INSTAR also requires time series showing the spatial distribution of temperature on a daily basis. This information has been obtained via WiMMed, which is a spatially explicit hydrological model created by our colleagues at the University of Granada and the University of Cordoba. Q: Who are the potential users of INSTAR? A: Our final aim is that environmental managers can use INSTAR as a tool to aid decisions regarding the
management of processionary moth outbreaks. However, the currently existing version is mainly devoted to scientists interested in simulating ecological processes. Q: What should I do to use the model?
Pine-processionary-mot
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ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
The model code is fully available in GitHub (http://sl.ugr.es/github_instar) and a test can be remotely run at ECOPOTENTAL Vlab (https://vlab.geodab.eu/). A detailed description of the model is under review at the moment. We hope it can be accessed very soon. For further inquiries, feel free to contact us ([email protected], [email protected]), we will be very happy to get in touch with interested scientists and potential users. About the Authors I am María Suárez-Muñoz and I studied environmental sciences and ecology in Spain and the Netherlands. I am in my first year as PhD candidate at University of Granada, where I plan to develop tools and knowledge to enhance decision making in pine plantations. I am aware of the great environmental challenges that society will be facing in the coming years and I would like to do my
bit in this task which concerns us all. My name is Curro (Francisco) Bonet and I currently work as assistant professor at the University of Cordoba (Spain) where I teach ecology and ecoinformatics. I studied biology and environmental sciences many years ago (I am 44 years old)… My overarching professional aim is to create the tools and the information needed to aid environmental decision making. In the last decade I have been involved in the construction of long term monitoring observatories.
The ECOPOTENTIAL Virtual Lab: III
Hydroperiod Estimation from Satellite-based Water masks Using the Hydromap Module from the ECOPOTENTIAL Virtual Laboratory Ioannis Manakos, Georgios Kordelas, Marios Bakratsas, Kalliroi Marini CERTH (GR); Javier Bustamante, David Aragonés, Ricardo Díaz-Delgado, EBD-CSIC (ES) Hydroperiod is the length of time each location remains flooded throughout a year in seasonal wetlands. It is an important ecological parameter driving the growth and composition of vegetation communities, and the abundance and distribution of animals in wetlands. Monitoring the hydroperiod duration through time is thus of vital importance for wetland managers and relevant authorities in order to develop ecosystem services preservation activities.
Satellite data offer the opportunity to derive the extent of inland surface water with high frequency and accuracy, hence allowing for hydroperiod estimation by using time-series of satellite-based water masks. Within ECOPOTENTIAL, a specific tool for calculating hydroperiod, the Hydromap module, was developed by the CERTH (Centre for Research and Technology Hellas) team.
This module generates the hydroperiod for a desired time period from series of satellite-based water masks by applying the following interpolation approach. For two dates separated by a number n of days, the occurrence of water is compared. If a pixel is inundated on both dates, then it is assumed
ECOPOTENTIAL: Improving Future Ecosystem Benefits through Earth Observation
ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
inundated for the whole duration of the n-days. If a pixel is inundated on a single date, then it is assumed inundated for n/2 days. The total number of days of inundation per pixel in the hydroperiod map is determined by accumulating the water masks throughout the desired time period.
Hydromap input includes: (i) a series of water masks, (ii) the list of dates water masks correspond to, and (iii) the starting and ending date defining the time period for which to estimate hydroperiod. The output is the hydroperiod map. Input water masks and resulting hydroperiod map are in GeoTIFF format.
ECOPOTENTIAL at the 2019 NASA LCLUC Spring Science Team Meeting 04/09/2019-04/11/2019, Washington DC, USA
ECOPOTENTIAL results have been presented at the recent NASA Land-Cover and Land-Use Change (LCLUC) Spring Science Team Meeting, held in April (9th-11th) in Washington DC, USA, hosting presentations from and discussions among the LCLUC Science Team members funded for research by the NASA LCLUC program. Focus was a) on the use of fine resolution data for LCLUC, b) the preliminary results of the Multi-Source Land Imaging team making benefit of the complementary use of Copernicus and Landsat satellite data towards a Landsat-8 and Sentinel-2 harmonized surface reflectance product, c) LCLUC synthesis projects over the globe, and d) applications in Southeast Asia and Northern Eurasia. CERTH (Greece) was
among the approximately 150 participants to present and highlight ECOPOTENTIAL achievements in LCLUC products generation, and, more specifically, about online monitoring data services (mounted on the Virtual Laboratory Platform) that promote repeatability of layers production; triggered by users. The flash talk was respectively about ‘Online monitoring data services for ecosystem indicators: an overview of ECOPOTENTIAL results. Vivid discussions followed at the poster presentation.
For more information please contact Ioannis Manakos ([email protected]). Here is the agenda.
Donana-hydroperiod-comparison
The ECOPOTENTIAL scientists Ioannis Manakos (left) and Arnon Karnieli (right) at the NASA LCLUC meeting © AK
ECOPOTENTIAL: Improving Future Ecosystem Benefits through Earth Observation
ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
Detecting Invasive Species and Soil Quality Indexes by using Imaging Spectroscopy: two ECOPOTENTIAL related studies from Ben Gurion University presented at the 11th EARSeLSIG imaging spectroscopy workshop 06-08/02 2019, Brno, Czech Republic http://is.earsel.org/workshop/11-IS-Brno2019/
The 11th workshop of the EARSeL Special Interest Group on Imaging Spectroscopy has taken place in Brno, Czech republic, on February 608, 2019. The special interest group encourages international discussion among specialists working with innovative spectral Earth Observation technologies and organizes Workshop every two years (the last one was held in Zürich) and with more than 20 years long tradition it is recognized as the leading Workshop in this field in Europe, as well as worldwide, bringing together students and professionals from universities, research organizations and private companies to present, exchange and discuss new ideas and research achievements related to all aspects of imaging spectroscopy. Imaging spectroscopy is addressing today’s key environmental and societal challenges. It is also expanding from traditional airborne platforms towards new ground-based, unmanned airborne and satellite systems. The workshop illustrated advanced methods and applications in Earth and Environmental science, dealing with both airborne and satellite technologies.
Among those, two ECOPOTENTIAL related works were presented by the Remote Sensing Laboratory of Ben Gurion University (Israel), partner in ECOPOTENTIAL, together with the Agricultural Research Organisation – Volcani Centre.
The two studies focussed on mapping invasive plant species by monitoring their phenological characteristics, and on the use of Imaging Spectroscopy for assessing the quality of soils in relationship to land use. Here the relevant information and the abstracts. The programme of the workshop can be read at this URL:
http://is.earsel.org/workshop/11-IS-Brno2019/programme/preliminary-programme/
Integrated Hyperspectral and Multispectral Approach for Mapping Invasive Plant Species Based on Phenological Characteristics Tarin Paz-Kagan (1), Natalya Panov (2), Micha Silver (2), Arnon Karnieli (2)
1) Agricultural Research Organization Volcani Center, Israel; 2) The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede-Boker Campus The spread of invasive plant species (IPS) has been recognized as the second most important threat to biodiversity after habitat destruction. Since the spatial extent of IPS is essential for managing invasive species, the current study aims to identify and map the aggressive invasion plant species of Acacia salicina and Acacia saligna in the coastal plain of Israel. This
goal was achieved by integrating airborne imaging spectroscopy with spaceborne multispectral remote sensing data.
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ECOPOTENTIAL Newsletter - Issue n. 12 – April 2019
We developed an integrated approach for mapping the IPS based on the phenological flowering stage, using hyperspectral and multispectral images. The hyperspectral images at higher spatial and spectral resolutions were used to train the multispectral images at the species level. We incorporated a series of statistical models to classify the IPS location and to recognize their distribution and density. A Support Vector Machine (SVM) classification algorithm was applied twice: first for species classification with the hyperspectral data, then with multispectral data, taking advantage of the flowering phenology, using the trained output data from the first step. The classification yielded an overall kappa coefficient accuracy of 0.89 in the multispectral image. Additionally, we studied the influence of various environmental and human factors on the IPS's spreading by using a random forest (RF) model to understand the mechanisms underlying successful invasions and to assess where IPS have a greater likelihood of occurring. This algorithm revealed that high density of Acacia is positively correlated to elevation; temperature pattern; and distances from rivers, settlements, and roads. Our results demonstrate how integration of remote sensing data in different spectral resolutions assists in determining IPS proliferation, and provides detailed geographic information for conservation and management efforts to prevent their future spread. Using Imaging Spectroscopy for Detecting and Mapping of Land-Use Effects on Soil Quality in Dryland Nathan Levi(1), Arnon Karnieli (1), Tarin Paz-Kagan (2) 1) The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion
University of the Negev, Sede-Boker Campus 8499000 Israel; 2) Agricultural research organization (ARO), Volcani center, Israel
Global population growth in the past few decades increase the need in providing food, shelter, and other services, and has resulted in transformation of many natural ecosystems into human-dominated ones. Land-use (LU) dynamics usually accompanied by large increases in exploiting of resources, along with considerable loss of biodiversity, affect ecosystems structure, and function and may cause deterioration of environmental conditions, which is reflected in soil quality (SQ). SQ differences among LU can be observed with airborne hyperspectral imaging spectroscopy (IS). Our aim is to measure SQ performances, based solely on spectral differences, and mapping of soil properties among three LU practices (agro-ecosystems, agro-pastoral grazing, and natural reserves) in an arid dryland environment of the Central Negev Desert, Israel. To achieve this goal, we developed and implemented a spectral soil quality index (SSQI) using IS method, which is generated from both laboratory and field spectrometry, for upscaling from point scale to airborne IS at a local scale.
To characterize and quantify SQ, an integrative approach of 14 physical, biological, and chemical soil properties were examined and transformed into additive scoreless soil quality indices (SQI), which were compared among LU and geographical units (north, centre, and south flight line). Significant differences in SQI values were found in part of all LU and geographical areas. Statistical and mathematical methods for evaluation of soil properties significance and spectral differences were used, including partial least squares - regression (PLS-R) and
partial least squares - discriminate analysis (PLS-DA). The PLS-DA classification accuracy results of the laboratory spectral data resulted with an overall kappa coefficient accuracy of 0.95. IS
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application can be used for SQI assessment, address soil alteration and degradation in areas of land-use changes.
ECOPOTENTIAL at EuroMAB in Dublin 02-05/04/2019, Dublin
On April 5, 2019 the ECOPOTENTIAL scientists Francesca Santoro (UNESCO) and Ghada el Serafy (Deltares) chaired the workshop: “Protecting & Promoting coastal & marine life: Practicalities for Marine Protected Areas & Stewardship” in the framework of the in EuroMAB2019 conference, discussing the role of science in supporting sound marine and coastal management.
EuroMAB 2019 is a biennial four-day conference for stakeholders from 302 UNESCO Man and Biosphere reserves in 36 countries across Europe and North America. This year conference has been hosted at the Dublin Bay Biosphere. Participants met and discussed collective approaches to managing the interactions between nature and people to support the conservation and celebration of natural and cultural heritage, and ultimately to test innovative solutions to promote sustainable development. More information about the conference and the programme here: http://euromabdublin2019.ie/
ECOPOTENTIAL in ESA’s Sentinel news – Samaria National Park
ECOPOTENTIAL project is on the ESA Sentinel news website once again (see news ECOPOTENTIAL in ESA’s Sentinel news – Gran Paradiso National Park). The article features Samaria National Park on Crete, Greece, where the ECOPOTENTTIAL scientists use Sentinel1 and 2 imagery to map the habitat for species of high conservation value, as endemic lizards. The Earth observation data are
combined with species observation data to determine areas in the National Park that are more likely to provide suitable habitat for the lizards, through species distribution modelling. The results can then be used by the park management to improve decision-making as well as monitoring on the ground. Full details are available here in the mentioned article.
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ECOPOTENTIAL in ESA’s Sentinel news – Gran Paradiso National Park
Also the work of ECOPOTENTIAL project in Gran Paradiso National Park featured on the ESA Sentinel news website (ECOPOTENTIAL in ESA’s Sentinel news – Samaria National Park). The ESA article explores how we use Sentinel2 images in ECOPOTENTIAL to map the changes in mountain grasslands and snow cover in Italy’s oldest National Park. Both earth
observation and field data feed into analyses to determine how the extent of the grasslands changed and which drivers cause this, with the aim to then develop ways to preserve crucial habitat for Alpine ibex, chamois and other species. The results of this joint work realised by the park managers and scientific staff help inform decisions on how to manage the Protected Area in the future. The complete article is here.
New Storymap online – Discover Har HaNegev
All ECOPOTENTIAL Protected Areas encapsulate fascinating stories about their past, present and future, which fuel the project’s research. Telling those stories and sharing passion for the work we are doing is one of the goals of ECOPOTENTIAL. Now you have the chance to learn more about Har HaNegev Reserve in Israel through a new storymap developed by project partner UNEP-WCMC.
The Negev Desert provides habitat for very diverse plants and animals, while humans have also been travelling and living in the desert for thousands of years. This can create challenges: “Sustainability - or meeting the development needs of people without undermining the integrity of the ecological
Har HaNegev landscape with a farm. © Haim Singer
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systems that make human life possible and worthwhile - is the most challenging task of the 21st century“ explains Daniel Orenstein, Associate Professor at Technion, the Israel Institute of Technology the background of ECOPOTENTIAL’s work. “In this storymap, we introduce the amazing biodiversity and ecosystem services of the Negev Desert, alongside its colorful history and current status of human development in the region, to reflect our truly interdisciplinary, policy-relevant research in search of sustainability for the region, its biodiversity and its people.”
Explore the storymap by clicking: Protecting Arid Ecosystems in Populated Areas:
Special Issue “Remote Sensing for Habitat Mapping” – Call for Papers Deadline for manuscript submission: 31 January 2021
In the environmental policies, the mapping of natural and semi-natural habitats, in spatial planning, land management, and the designation of Protected Areas are increasingly required. Habitats are effective indicators of biodiversity and their periodic and consistent monitoring, in terms of extent, status, and changes can provide an effective tool for policy makers engaged in the conservation plans. This is in accordance with the GEO strategies planned for 2016–2025 period and the attainment of SDG 15 for
preserving biodiversity and ecosystem sustainability.
Remote sensing data and techniques offer significant opportunities for long-term habitats monitoring because of the availability of a large amount of multi-temporal data from past and current spaceborne missions with continuity provided by planned future missions. Routinely, mapping can be generated and intra-annual and inter-annual changes quantified providing synoptic spatial views of expansive landscapes and regions from the integration of remote sensed (RS) data with in situ and ancillary data.
Due to the great relevance and interest in this theme, there is a great deal of questions to be answered concerning, for example, the best methods and standards to use in acquiring and processing data, habitat classification terms and systems, as well as the reliability of the maps produced depending on the scale adopted, this Special Issue is inviting manuscripts on the following topics:
• RS data and techniques for identification, mapping, and assessment of different habitat types, their conditions and/or conservation, at different spatial and temporal scales;
• Remote sensing and habitats characterization for different marine and terrestrial environments, from coastal areas to mountain regions, from large, homogenous, and spatially continuous units to highly fragmented, heterogeneous and spatially discontinuous landscapes (e.g., mosaics);
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• Satellite time series analysis for long-term habitat mapping; • Habitat change maps from RS data; • Integration of RS data with in situ data and expert knowledge; • Habitat taxonomies and semantics in a framework of integration of RS data and in situ data; • Indicators from RS data for the habitat modeling.
Guest Editors:
Dr. Cristina Tarantino (CNR)
Dr. Maria Adamo (CNR)
Dr. Valeria Tomaselli (CNR)
This news is also on the website.
Find out more: https://www.mdpi.com/journal/remotesensing/special_issues/habitat_mapping
Special Issue “Remote Sensing in Ecosystem Modelling” – Call for Papers
Ecosystem models are fundamental for a deeper understanding of associated spatiotemporal dynamics. They also support the forecasting of ecological responses to future climate and land use changes, thus supporting relevant decision-making processes. Ecosystem modelling is challenging, given the complexity of natural ecosystems, since models need to consider several levels of
environmental predictors and interplaying mechanistic processes.
Earth observation (EO) data and methods serve as a cost-efficient alternative to in-situ data collection at numerous spatial and temporal scales. EO data are now an essential component in ecological modelling. For example, EO data are used to (i) provide variable estimation to implement ecological models; (ii) test, validate and verify the predictions of ecological models; and (iii) update or adjust process model predictions. These modelling and implementation challenges are investigated by several international projects and initiatives, including ECOPOTENTIAL, in work package 6
(EO-based Ecosystem Modelling), and the GEO Global Ecosystem Initiative GEO ECO).
Motivated by the strong integration and new capabilities, this Special Issue is inviting manuscripts on the following topics: - direct comparisons of EO with in-situ data;
- assessment of the added value of EO to ecosystem models;
- interoperability topics, for example spatial and temporal scale issues, derived from the incorporation of EO in ecosystem models;
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- uncertainty propagation of EO-derived inputs in ecosystem models;
- benefits by the EO assimilation and side-effects in the designed processing chains;
- adjustments in ecosystem models to better integrate EO inputs;
- the new capacity being developed and explored by the installation and operation of the Data and Information Access Services (DIASs).
Guest Editors: Dr. Ioannis Manakos (CERTH)
Prof. Duccio Rocchini (University of Trento)
Prof. Giorgos Mountrakis (State University of New York)
Deadline for manuscript submissions: 30 September 2020
Find out more: https://www.mdpi.com/journal/remotesensing/special_issues/ecosystem_modelling_RS
Gran Paradiso Summer School 2019 Critical Zone and Ecosystem Dynamics 08-17/07/2019, Grand Hotel Ceresole Reale, Gran Paradiso National Park (Piedmont, Italy)
The 2019 edition of the Summer School on Critical Zone and Ecosystem Dynamics will take place from 8th to 17th of July in Gran Paradiso National Park, Italy.
Among the speakers: Emma Aronson (Microbiota of the CZ), Ilaria Baneschi (Light stable isotope analysis – tutorial), Steven Banwart (Soil carbon and structural dynamics in the CZ; CZ
science and sustainable development goals for global challenges), Alberto Basset (TBD), Asmeret Asefaw Berhe (Effects of climate and land-use changes on the CZ), Sharon Billings (TBD), Palma Blonda (Remote Sensing of the CZ), Roberto Buizza (TBD), Ashlee Dere (Introduction to pedology and soil biogeochemistry), Jerome Gaillardet (TBD), Silvia Giamberini (Flux measurements with accumulation chamber methods -tutorial), Jost von Hardenberg (Modelling of soil water-vegetation patterns), Jean-Martial Cohard (TBD), Michael Mirtl (Long-term ecological studies of the integrated CZ system), Pietro Mosca (Geology of the Alpine region – tutorial), Nikolaos Nikolaidis (Hydrologic and geochemical pathways in the watershed - The case of Koiliaris CZO; Soil structure and biogeochemical dynamics - Modeling soil functions), Maddalena Pennisi (Introduction to stable
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isotope geochemistry – tutorial), Antonello Provenzale (Conceptual models of land-atmosphere- vegetation interactions), Pam Sullivan (Numerical models of CZ processes), Timothy White (General introduction to the CZ).
More info at the dedicated website.
SPLITRS Summer School 2019 03-08/06/2019, Bolzano, Italy
“After Split (2014), Thessaloniki (2015), Chania (2016), Dubrovnik (2017), and Prague (2018) SPLITRS is taking us to Bolzano, Italy. Once again, an intensive learning remote sensing program for professionals and graduate students will be offered at a great location. Bolzano is a city of two lifestyles, one Northern European and the other more Mediterranean, combined to make the perfect union, which can be clearly seen in the historic and artistic treasures of this city. SPLITRS is a non-profit organization. All profits go to students in need.”
The school is focusing on "Environmental monitoring in mountain areas and land-cover dynamics" covers different types of remote sensing, including a variety of sensors, as well as different
methodological approaches, and includes a field trip to the Dolomites.
Learn more: http://splitremotesensing.com
Langkofel Group from Seiseralm. © SG
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The GEO LDN (Land Degradation Neutrality) initiative “A GEO LDN Initiative will assist countries, regions and other stakeholders interested in addressing land degradation and achieve SDG 15, “Life on Land”. The data, tools and reporting protocols developed would be accessible in the Global Earth
Observation System of Systems' GEOSS Platform and useful to other GEO Initiatives, including GEOBON, GEOGLAM and the Earth Observations for Ecosystem Accounting Initiative. The space-based information and in situ measurements provided to countries from the GEO LDN Initiative are fundamentally linked to many other areas of the GEO work programme, its Strategic Plan 2016-2025 and global priorities on sustainable development, climate action and disaster risk reduction. While the GEO LDN Initiative will be global in scope, participants and contributors may wish to leverage their regional priorities and strengths in alignment with regional GEO initiatives, and in terms of expertise and financing. The GEO LDN Initiative will actively seek to engage regional groups of countries to assist with data collection, validation and reporting”.
More info here.
Earth Observations for Sustainable Development (Session ESSI1.16) at EGU General Assembly 2019 07-12/04/2019, Wien, Austria
On April 9, 209 in Wien the “ESSI1.16 Media - Earth Observations for Sustainable Development” took place. “The application of Earth Observation (EO) datasets for Sustainable Development is a fast-growing field. EO
technologies and innovations are constantly evolving, and contributing to the delivery of sustainable, economic and societal benefit to developing countries, helping them meet their Sustainable Development Goals. There is great potential to build on the unique strengths that the space sector has in terms of services and technology to deliver sustainable development objectives, especially in data-sparse regions of the globe, and realising this potential is crucial. The scientific and socio-economic benefits from remote sensing data applications are limitless. Especially in developing nations, where there is a need to bridge the gap between existing technologies and operational applications, EO technology can help enhance the capability to monitor the Earth’s vital resources, and to support the planning, design, operation, and management processes of various sectors.”
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This session invited submissions from researchers and practitioners, whose work with EO technologies provides the information needed to confront key sustainable development challenges, spanning a whole range of themes such as: disaster response and early warning systems, water resources, agriculture, air and water quality, deforestation, land-use change, urban development, renewable energy and health.
2019 EuroGEOSS Workshop 03-05/07/2019, Lisbon, Portugal https://ec.europa.eu/easme/en/easme-executive-agency-smes/eurogeoss-workshop-2019
The workshop programme is a combination of plenary sessions, thematic sessions, hands-on demonstrations and numerous networking opportunities. As on previous occasions, the final programme incorporates specific requests by the participants.
On registration, participants have the opportunity to propose their own contributions to the Workshop. The workshop aim is to look for synergies across projects, initiatives, to offer networking opportunities to the participants and to discuss how Europe can contribute to the international effort. EuroGEOSS workshop brings together European players interested in and actively contributing to the Global Earth Observations System of Systems (GEOSS).
2019 GEO Symposium 27-29/05/2019 – Geneva, Switzerland https://www.earthobservations.org/me_2019_wps.php
“Join the global Earth observation community in Geneva this May for the 2019 GEO Symposium, as representatives from GEO’s 70+ Work Programme activities and initiatives share their progress, knowledge and make plans to maximise the impact of Earth observations for sustainable development.
Why attend?
The 2019 Symposium takes place at a critical moment in the development of the 2020-2022 GEO Work Programme. Participants will have the opportunity to take part in discussions that will shape GEO’s direction over the next three years.
Who should attend?
All those currently involved in GEO Flagships, Initiatives, Community Activities or Foundational Tasks are invited to come and share their experiences and knowledge with the GEO community. Those who are proposing new activities for inclusion in the GEO Work Programme are strongly urged to attend.”
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The organizers also encourage participation from users and providers of Earth observation data and information who are new to GEO and are interested in getting involved.
LIFEWATCH ITALIA Scientific Community Meeting 27-29/05/2019, Rome, Italy
The LifeWatch ERIC first Scientific Community Meeting is coming and it aims at gathering the scientific Community of scientists and developers to trigger and boost the discussion on the most promising lines of development of science on three key themes: a) Biodiversity and Ecosystem Theory; b) Marine Biodiversity and Ecosystem Functioning and Services; c) Data Analysis, Modelling and Disruptive
Technologies. In addition it wants to identify the major gaps in the scientific knowledge to be addressed in the next five to ten years, highlighting the key societal challenges that biodiversity and ecosystem science is required to address, proposing nature-based approaches to natural resource managers and decision makers. Working sessions will follow the plenary adding the more practical aim to promote the involvement of the user communities in LifeWatch ERIC; and collect from them clear indications of their needs, in terms of services and VRE developments, to facilitate and support their research activity. Registration and information are available here: www.lifewatch.eu/scientific-community-meeting
DIGITAL EARTH – Florence 24-27/09/2019, Florence, Italy
ISDE 11 offers an exciting scientific programme with Technical Paper Sessions, Invited Talks, Joint Sessions with Sister Organizations, an Exhibition, and Panels, as well as Social Events. Click here to access the registration page.
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ILTER Open Science Meeting 2019 02-06/09/2019, Leipzig Germany
The second ILTER Open Science Meeting will take place in Leipzig, Germany, from 2nd to 6th of September 2019.
It will cover the themes: 1. Drivers of long-term changes in biodiversity, ecosystem integrity and ecosystem functions 2. Climate change impact on ecosystem processes 3. Altered nutrient cycles and environmental pollution 4. Advances in long-term socio-ecological research and sustainability science 5. New methods, technology and innovative science support services 6. Global research infrastructures
It is hosted by the Umweltforschungszentrum (UFZ) and also includes interesting excursions.
Please see the meeting website.
LIVING PLANET SYMPOSIUM 13-17/05/2019, Milan, Italy
Held every three years, the Living planet Symposium focuses on how Earth Observation contributes to science and society, and how disruptive technologies and actors are changing the traditional Earth Observation landscape, which is also creating new opportunities for public and private sector interactions. It is hosted at the Milan “Palazzo dei Congressi”. Please ensure to register to the symposium within 30 April 2019. For more information and to register please click here.
Annual Meeting of the Special Interest Group Biogeography 9-10/05/2019, Frankfurt, Switzerland (Senckenberg Biodiversity & Climate Research Center)
Keynotes At the SIG Biogeography 2019 Meeting two famous scientists will present keynotes: Dr. Suzette Flantua (University of Bergen, Norway) will use palaeoecology to provide insights into the distribution of biodiversity and endemism in mountains and islands, whereas Prof. Tobias Kuemmerle (Humboldt University Berlin) will highlight “The Geography of Threats to Biodiversity”.
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Workshops The SIG Biogeography 2019 Meeting will offer half-day workshops! The two workshops will focus on “Species distribution modelling in R” by Prof. Manuel Steinbauer (GeoZentrum Nord, Friedrich-Alexander-Universität Erlangen) and “Introduction to remote sensing for biogeographers” by Prof. Hannes Feilhauer (Institute of Geographical Sciences, Freie Universität Berlin) to introduce two important methodological approaches in biogeography – species distribution modelling and remote sensing. Here the link. Registration is closed.
New published ECOPOTENTIAL papers!!
We are happy to announce the new publications by ECOPOTENTIAL researchers, all compliant with the Open Access Policy and listed in the ECOPOTENTIAL website. They can be downloaded from the ECOPOTENTIAL publications repository PUMA:
http://pumalab.isti.cnr.it/index.php/en/eu-h2020-project-ecopotential-en
Congratulations to the authors!
▪ Baker C. M., Diele F., Lacitignola D., Marangi C., Martiradonna A. (2019). Optimal control of invasive species through a dynamical systems approach. Ecological Informatics. https://doi.org/10.1016/j.nonrwa.2019.02.007
▪ Geijzendorffer I. R., Beltrame C., Chazee L., Gaget E., Galewski T., Guelmami A., Perennou C., Popoff N., Guerra C., Leberger R., Jalbert J. (2019). A more effective Ramsar Convention for the conservation of Mediterranean wetlands. Frontiers in Ecology and Evolution. https://doi.org/10.3389/fevo.2019.00021
▪ Giezendanner J., Bertuzzo E., Pasetto D., Guisan A., Rinaldo A.. (2019). A minimalist model of extinction and range dynamics of virtual mountain species driven by warming temperatures. PLoS ONE. https://doi.org/10.1371/journal.pone.0213775.
▪ Hoffmann S., Steiner L., Schweiger A. H., Chiarucci A., Beierkuhnlein C. (2019). Optimizing sampling effort and information content of biodiversity surveys: a case study of alpine grassland. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2019.03.003
▪ Hummel C., Poursanidis D., Orenstein D., Elliott M., Adamescu M. C., Cazacu C., Ziv G., Chrysoulakis N., van der Meer J., Hummel H.. (2019). Protected Area management: fusion and confusion with the Ecosystem Services approach. Science of The Total Environment, 651, 2432-2443. https://doi.org/10.1016/j.scitotenv.2018.10.033
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▪ Kobler J., Zehetgruber B., Dirnböck T., Jandl R., Mirtl M., Schindlbacher A.. (2019). Effects of aspect and altitude on carbon cycling processes in a temperate mountain forest catchment. Landscape Ecology. https://doi.org/10.1007/s10980-019-00769-z
▪ Masó J., Serral I., Domingo-Marimon C., Zabala A. (2019). Earth observations for sustainable development goals monitoring based on essential variables and driver-pressure-state-impact-response indicators. International Journal of Digital Earth. doi: 10.1080/17538947.2019.1576787. Link: https://doi.org/10.1080/17538947.2019.1576787
▪ Pesquer L., Domingo-Marimon C., Pons X. (2019). Spatial and spectral pattern identification for the automatic selection of high quality MODIS images. Journal of Applied Remote Sensing. http://dx.doi.org/10.1117/1.JRS.13.014510
▪ Rana F. M., Adamo M., Lucas R., Blonda P. (2019). Sea surface wind retrieval in coastal areas by means of Sentinel-1 and numerical weather prediction model data. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2019.03.019
▪ Regos A., Gagne L., Alcaraz-Segura D., Honrado J. P., Domínguez J. (2019). Effects of species traits and environmental predictors on performance and transferability of ecological niche models. Scientific Reports. https://doi.org/10.1038/s41598-019-40766-5
▪ Wohner C., Peterseil J., Poursanidis D., Kliment T., Wilson M., Mirtl M., Chrysoulakis N. (2019). DEIMS-SDR – A web portal to document research sites and their associated data. Ecological Informatics, Volume 51, 15-24 pp. doi: https://doi.org/10.1016/j.ecoinf.2019.01.005
Open Science – its impact and potential as a driver for radical change. OA11 CERN-UNIGE Workshop on Innovations in Scholarly Communication
19-22/06/2019, Geneve
The CERN-UNIGE Workshop on Innovations in Scholarly Communication will be held at University of Geneva in June 19th-21st 2019. The main theme of this edition is:
Open Science – its impact and potential as a driver for radical change
Among the speakers: Corina Logan, famous for her "Bullied into bad science".
Instead, research groups, universities, supporting organisations and funders can use the outputs from the workshop Seachange in Research: Collaboration next to Competition.
Thed van Leeuwen (Leiden University)'s speech How various perspectives on OA publishing determine policies will introduce the idea of the variety of perspectives on OA, and "what it means in terms of policies undertaken".
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Have a look to the full program to discover the presentations who better match your interest in your sector.
It is possible to register to the whole conference or to a single day (or more days).
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 641762. - Copyright by ECOPOTENTIAL Consortium
Contacts:
Website: http://www.ecopotential-project.eu/ Facebook: Facebook/EcoPotentialProject Twitter: #ECOPOTENTIAL Email contact : http://www.ecopotential-project.eu/contacts - [email protected]
