19
DRAGON 3 Land and environment -Urban Land & Other Environments Cartalis, Constantinos and Li, Chuanrong

DRAGON 3 - Earth Online - ESAearth.esa.int/dragon-2015-programme/li-urban_land... · DRAGON 3 . Land and environment -Urban Land & Other Environments . Cartalis, Constantinos and

  • Upload
    vantu

  • View
    214

  • Download
    0

Embed Size (px)

Citation preview

DRAGON 3 Land and environment

-Urban Land & Other Environments

Cartalis, Constantinos and Li, Chuanrong

RESULTS – a selection

Urban development and climate (ID 10695)

Multitemporal Sentinel-1A SAR for Extraction of Builtup Areas in Several Global Cities

- Beijing, Jakarta, Mexico City, Milan, Nanchang Fusing Coarse And Medium Resolution SAR Data For An Improved Detection Of

Built-up Areas - 5 multi-scale SAR fusion methods applied & improved urban extractions - Verifications for Beijing, Shanghai, Guangzhou and Sao Paolo

Milan Nanchang

Multitemporal Sentinel-1A SAR for Urban Land Cover Mapping - Promising results achieved in Beijing and Stockholm

Urban development and climate (ID 10695)

URBAN FLOOD: For two typical urban roadway interchange areas in Beijing (Jiananqiao and Xinxingqiao) that are prone to flooding, high resolution DEM database was constructed and flood inundation modelling was applied. URBAN GEOHAZARD:

Land subsidence in Beijing was monitored using ENVISAT ASAR InSAR data from 2003-2009. The results showed more complex land utilization resulted in more uneven trend of land subsidence.

MONITOR (ID 10510)

Varvakeios 45,8 ˚C

Keramikos 46,2 ̊ C

Monastiraki 45 ˚C

Athens-Historical Centre

Hot spots are related to land cover and anthropogenic heat sources. Most of the hot spots appear in areas of great interest for the citizens of Athens such as commercial and cultural sites.

Fig. 11. Land surface temperature of the historical centre of Athens.

50˚C

24˚C

MONITOR (ID 10510)

URBAN MICROCLIMATE Hot spots detection in historic centre

Epidemics’ Monitoring(ID 10515)

The T-S fuzzy remote sensing monitoring and prediction model of malaria was established by using the malaria case data and the associated environmental data.

Results showed good application prospect of the RS data in predicting and early warning of mosquito-borne diseases.

Remote Sensing Monitoring of Vector-borne Disease - Malaria

12 months’ dynamic monitoring results of Tengchong

Epidemics’ Monitoring(ID 10515)

Ensemble Prediction Model for Identification and Early Warning of Vector-born Disease Transmission Areas Data analysis on correlation between environment factors and density of disease-

vectors and evaluation of a set of classification algorithms SVM, NB. Training

Data Testing Data Boosting Bagging Stacking

Accuracy

during Training

Predict Acc.

Accuracy during

Training

Prediction Acc.

Accuracy during

Training

Predict Acc.

2003/05 2009 73.973% 48.333% 75.342% 50% 71.233% 46.667%

2003/05/07 2009 52.991% 46.667% 50.427% 46.667% 55.556% 46.667%

2003/05/07/08 2009 55.828% 48.333% 50.920% 53.333% 49.080% 46.667%

2003/05 2008 73.973% 47.826% 75.342% 34.783% 71.233% 32.609%

2003/05/07 2008 52.991% 32.609% 50.427% 34.783% 55.556% 32.609%

2003/05 2007 73.973% 29.545% 75.342% 31.818% 71.233% 29.545%

LU Change & Water Quality (ID 10668)

Chlorophyll-A concentrations estimation and land use analysis in Lake Qiandao

ASSESSMENT 2012 - 2015

OBJECTIVES ASSESSMENT

Define common research areas in the overall field of the environment.

Common thematic research areas have been well established, a fact which enhances the potential for substantial China-Europe scientific cooperation. Research areas reflect important contemporary environmental and development issues.

Promote the use and exploitation of ESA, TPM and Chinese EO data for science development.

Achieved, a fact which develops a potential for a common data platform.

Use ESA, TPM and Chinese EO data, in conjunction with climate and environmental-related ground data, for assessment and monitoring applications.

Important progress, yet the lack of climate and environment – related ground data may be an issue in some cases.

OBJECTIVES ASSESSMENT

Introduce innovation, either in terms of the selected topics or for the development of state of the art techniques for the estimation of environmental parameters.

Innovation is recognized both in the selected topics as well as in the methodologies developed. Early use of SENTINEL 1, a plus.

Assess human contribution to environmental problems (urbanization, desertification, etc.),

Products so far clearly demonstrate the link between human activities and environmental problems.

Stimulate scientific exchange in EO science and application by the formation of joint Sino-European teams.

Achieved; it is considered critical for synergies to sustain and be maintained by means of annual plenary meetings and more periodic project to project meetings.

OBJECTIVES ASSESSMENT

Provide training to European and Chinese scientists for the exploitation of ESA, TPM and Chinese EO data in earth system science.

Better acquaintance of the European (Chinese) scientists to Chinese (ESA) EO data has been achieved as projects’ products have used both sources of data.

Promote scientific twinning and publish co-authored results of the research and applications development.

More emphasis is needed towards publishing co-authored results. The final year of DRAGON-3 should concentrate on this aspect.

DATA

Improve the access to near real time EO data in European side (Sentinel will facilitate such access). Better access to Chinese EO data – improved data sharing - common EO database to be developed between European and Chinese sides. Database should be fully accessible and also include radar/optical/thermal data, and ancillary data. Provide access to GF thermal data.

FINDINGS AND RECOMMENDATIONS

OPERATIONAL USE

Develop an open access data policy (and a common EO data portal) between ESA and China so as to support the operational use of data. Link the Sentinel series to GF series to generate an “operational constellation” with daily global coverage.

VALIDATION

Better access to ancillary/in situ data. An improved link of DRAGON to international initiatives providing such data, should be promoted.

YOUNG SCIENTISTS

Increase the number of young scientists per project and improve financial provisions so as their involvement to lead to the acquisition of a PhD.

SUPPORT FOR ENVIRONMENTAL POLIY DRAFTING AND DECISION MAKING

All projects need to demonstrate how they support the principle “Science in support of policy decision making”. They should also present examples – case studies in support of: policy drafting, assessment of international conventions, etc.

PUBLICATIONS Improve visibility of DRAGON through publications in accredited international journals.

DRAGON 4

Achieve balance between small and many projects to “big” and less projects. Take note of the operational constraints of DRAGON which do not support big consortia. Secure access to EO data bases in Europe and China (common EO data portal). Involve more young scientists (more posts and better financing). Financially support academic exchanges and more periodic time meetings. Examine the prospect that each project develops its own web site (with link to the main DRAGON web site).

THEMES FOR DRAGON 4

New themes overall reflect new prospects and are well structured. Add new theme: “Environment and health” (air quality, heat stress, thermal comfort, epidemics, waste, …). Consider also the theme “Cultural Heritage”