Dorian Gorgan, Danut Mihon, Victor Bacu Technical University of Cluj-Napoca Romania

www.see-grid-sci.eu

SEE-GRID-SCI

The SEE-GRID-SCI initiative is co-funded by the European Commission under the FP7 Research Infrastructures contract no. 211338

GreenView – Refinement of surface and

vegetation parameters in SEE region based on satellite images

Dorian Gorgan, Danut Mihon, Victor Bacu Technical University of Cluj-Napoca

Romania

Environmental VO, SEE-GRID-SCI 09 December 2009

Róbert Mészáros, Györgyi GelybóEötvös Loránd University

Hungary

NA4 – User communities support, Environmental VO - GreenView Application 2/28

Primary contactDorian [email protected]

Technical University of Cluj-Napoca

Romania

Current status Beta -> production phase

Expected availability 1st April 2010

Licensing status GPL 3

GreenView Application



GreenView - Refinement of surface and vegetation parameters in SEE region based on satellite images

The aim of the GreenView pilot application is a refinement of surface and vegetation parameters in SEE region based on satellite images. In the frame of this project, construction, usage and comparison of diverse satellite datasets will be performed. High resolution satellite measurements can be used for numerous environmental studies (climate-related or air pollution modeling). Using the sophisticated environmental data the change of the vegetation distribution in the Carpathian Basin and its climate-related causes will be investigated. It may also be used to extend the urban climate related research, in order to study the impact of urban environment on the vegetation.


Partners and beneficiaries

GreenView application development partners:1. UTCN, NCIT, UVT, and ICI (Romania)2. Eötvös Loránd University (ELU) from Budapest (Hungary)3. Research and Educational Networking Association of Moldova (RENAM)

Future developments and Beneficiaries: Government Organizations, Environment Agencies, Hydrological Institutes,

and Research Groups involved in environment supervision and behavior prediction of natural phenomena, especially in vegetation related studies

Based on ESIP Platform developed through the JRA1 activities of SEE-GRID-SCI Project

GreenView experience will support the development of other SEE-GRID-SCI partner’s applications:

EnviMon (RENAM) Soil Pollution by Heavy Metals (CENS NAS RA - Center for Ecological-Noosphere

Studies of National Academy of Sciences of the Republic of Armenia)


GreenView Components

Coarse to fine interpolation Interpolation of meteorological data

Fine to coarse interpolation Inverse transformation of coarse to fine

GPP calibration Calibration the BIOME-BGC model

Vegetation index computation GreenLand component Classification of Landsat satellite images based on vegetation indexes


GreenView related architecture

Web browser

Web interface


Coarse to fine Fine to coarse

GPP computing

gProcess client

ESIP Platform

gProcess Platform

Grid infrastructure

GreenLand


GreenLand component

Goal - Satellite image classification based on different vegetation indices

NDVI - used to detect live green plant canopies in multispectral remote sensing data

NDVI = (NIR - Red)/(NIR + Red)

EVI - used to correct some distortions in the reflected light caused by the particles in the air as well as the ground cover below the vegetation.

EVI = 2.5*(NIR - Red)/(NIR+6*Red-7.5*Blue+1)

SAVI - accomplishes both good image segmentation and a high performance regarding the differentiation from vegetation and non-vegetation

SAVI = (NIR - Red) / (NIR + Red + 0.16)

GEMI - used to minimize the atmospheric influence in the classification processGEMI = η*(1-0.25*η)-(Red-0.125) / (1-Red), where η = [2* (NIR – Red)+1.5*NIR + 0.5*Red] / (nir+red+0.5)


GreenLand Component

Input files

Satellite images spectral bands

(TIFF format)

Output file

Computed vegetation index

(TIFF format)


GreenView User Interface

The user interface is developed using

Flex 3.3 - component formatting and design

BlazeDS - connects the server functionality with the user interface and handles the user requests and server responses


GreenView User Interface


Current Status

Coarse to Fine interpolationFine to Coarse interpolationMonteCarlo based model calibration, GPP computationGreenView functionality based on the ESIP PlatformExperiment the GreenView functionality over the Grid testbed under gLite middlewareGraphical user interface for Web applicationExperiments over the See-Grid infrastructure (access through WMS at ICI and UVT, the effective execution over the following nodes:

ce.ngcc.acad.bg ce01.grid.info.uvt.ro testbed001.grid.ici.ro cluster1.csk.kg.ac.yu


On-Line GreenView Application

GreenView is a web application

The user accesses by Internet the computation resources and environmental data that are provided by the Grid infrastructure

Available versions:

Version 2.2

http://c5.mediogrid.utcluj.ro:4331/interpolation2.1/

Version 2.1

http://gisheo01.mediogrid.utcluj.ro:8095/interpolation_v2.1/

Wiki GreenView

http://wiki.egee-see.org/index.php/GreenView

http://c5.mediogrid.utcluj.ro:4331/interpolation2.1/

http://gisheo01.mediogrid.utcluj.ro:8095/interpolation_v2.1/

http://wiki.egee-see.org/index.php/GreenView


Coarse to fine – performance evaluation


GPP computation - performance evaluation


GreenLand – performance evaluation


Conclusions on the experiments

On the Grid infrastructure the time execution of a job means Time to search free nodes of the Grid

Time to send the required information

Time required to execute the job

Time required to retrieve the results from the Grid

The gap that appears in these charts is determined by Time for searching free nodes on each site

The computation power of a node

The network traffic and bandwidth

Only the applications that require large processing data volume and the applications that are using the parallel computing power of the Grid infrastructure should be implemented as Grid applications


Dissemination

Participation to the ICCP2009 Conference, 27 Aug, 2009 Cluj-Napoca. Papers accepted for publication in IEEE Computer Press. Participants: Denisa Rodila, Danut Mihon, Dorian Gorgan, Victor Bacu (UTCN). Presentations:

1. Rodila D., Bacu V., Gorgan D., “Integration of Satellite Image Operators as Workflows in the gProcess Application”.

2. Mihon D., Bacu V., Stefanut T., Gorgan D., “Grid Based Environment Application Development – GreenView Application”.

Participation to IDAACS'2009 - IEEE Fifth International Workshop on "Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications", 21-23 September 2009, Rende, Cosenza, Italy (2009). Paper accepted for publication in IEEE Computer Press. Participant: Victor Bacu (UTCN). Presentation:

1. Gorgan, D., Bacu, V., Stefanut, T., Rodila, D., "Grid based Satellite Image Processing Platform for Earth Observation Applications Development".

Participation to SYNASC Symposium, 26-29, September 2009, Timisoara. Paper accepted for publication in IEEE Computer Press. Participant: Denisa Rodila (UTCN). Presentation:

1. Denisa D. Rodila, Victor Bacu, Dorian Gorgan, "Semantic Annotation based Service Composition for Grid Workflow Description and Execution".


Dissemination

Participation to the Conference EGEE'09 - Uniting our strengths to realise a sustainable European grid, 21-25 Sept, Barcelona (2009), http://egee09.eu-egee.org/. Participant: Dorian Gorgan (UTCN). Presentations:

1. Gorgan D., "Earth Science Application Development Methodology by ESIP and gProcess Platforms". Presented at the workshop "Federation and interoperability of Earth Science Digital Repositories: data discovery, access and visualization". EGEE09, 24 Sept, Barcelona.

2. Gorgan D., "Challenges in Earth Science Application Development for Grid Architectures”. Presented at the workshop "Earth Science GRID highlights". EGEE09, 21 Sept, Barcelona.

Participation to the SEE-Grid-SCI Dissemination event in Timisoara, September 26th, 2009. Workshop organized by Western University of Timisoara in the frame of SYNASC 2009 (http://web.info.uvt.ro/~petcu/seegrid4.html). Presentations:

1. Gorgan D., Bacu V., Stefanut M., Mihon D., Rodila D., "ESIP Environment Oriented Satellite Image Processing Platform".

2. Mihon D., Bacu V., Stefanut T., Gorgan D., "Grid Based Environment Application Development - GreenView".

http://web.info.uvt.ro/~petcu/seegrid4.html


Training

Prepare the following training materials:

Gorgan D., Bacu V., "ESIP and gProcess based Grid Environment Application Development Methodology". Environmental VO Training at the SEE-GRID-SCI Training, Bogazici University, Istanbul, Turkey, 2009.


Papers to Conferences

1. Gorgan, D., Bacu, V., Stefanut, T., Rodila, D., "Grid based Satellite Image Processing Platform for Earth Observation Applications Development". IDAACS'2009 - IEEE Fifth International Workshop on "Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications", 21-23 September 2009, Rende, Cosenza, Italy (2009)

2. Mihon D., Bacu V., Stefanut T., Gorgan D., “Grid Based Environment Application Development – GreenView Application”. ICCP2009 - IEEE 5th International Conference on Intelligent Computer Communication and Processing, 27 Aug, 2009 Cluj-Napoca (to be published in IEEE Computer Press).

3. Denisa D. Rodila, Victor Bacu, Dorian Gorgan, "Semantic Annotation based Service Composition for Grid Workflow Description and Execution". SYNASC Symposium, 26-29, September 2009, Timisoara, (Accepted for publication in IEEE Computer Press)


4. Gorgan D., "Earth Science Application Development Methodology by ESIP and gProcess Platforms". Abstract sent for the workshop "Federation and interoperability of Earth Science Digital Repositories: data discovery, access and visualization" within the Conference EGEE'09 - Uniting our strengths to realise a sustainable European grid, 21-25 Sept, Barcelona (2009)

5. Mihon D., Bacu1 V., Mészáros R., Gelybó G., Gorgan D., “Satellite Image Interpolation and Analysis through GreenView Application”. ADiS-2010, First International Workshop on Autonomic Distributed Systems, Krakow, Poland, 2010.

6. Gorgan D., Bacu V., Rodila D., Pop Fl., Petcu D., "Experiments on ESIP - Environment oriented Satellite Data Processing Platform". SEE-GRID-SCI User Forum, Bogazici University, Istanbul, Turkey, 2009.

7. Mihon D., Bacu V., Gorgan D., Mészáros R., Gelybó G., "Practical Considerations on the GreenView Application Development and Execution over SEE-GRID". SEE-GRID-SCI User Forum, Bogazici University, Istanbul, Turkey, 2009.


Users, Results, Plans for Future

Possible long-term developments The ESIP Platform and the set of tools and components from the Application

Oriented Level could be used in: Development of other environmental and geographical data based applications in

SEE and CE regions Development of tools and application required by other related European projects

such as EnviroGRIDS, http://www.envirogrids.net/ Basic software platform for related national programmes from the SEE and CE

regions

Center for Ecological-Noosphere Studies of National Academy of Sciences of the Republic of Armenia - CENS NAS RA

Development of environment applications. For instance, soil pollution by heavy metals

GreenView experience will support the development of the EnviMon application (RENAM)

Data access services to data repositories provided by the GENESI-DR Project

Usability evaluation performed by University of Valparaiso, Chile


GreenView developing plan


Acknowledgments

This research is supported by SEE-GRID-SCI (SEE-GRID eInfrastructure for regional eScience) project, funded by the European Commission through the contract nr RI-211338.

Climate change data have been retrieved from the PRUDENCE data archive, funded by the EU through contract EVK2-CT2001-00132.

MODIS data have been produced and distributed by NASA through the EOS Data Gateway system.

Biome-BGC version 4.1.1 was provided by the Numerical Terradynamic Simulation Group (NTSG) at the University of Montana. NTSG assumes no responsibility for the proper use of Biome-BGC by others.


Thanks for attending!

Documents

Dorian Gorgan, Danut Mihon, Victor Bacu Technical University of Cluj-Napoca Romania