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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 10 September 2009

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

Primary contactDorian [email protected]

Technical University of Cluj-Napoca

UTCN, third party SEE-GRID-SCI partner acronym

Romania

Current status Beta

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 Pilot Application

Functionality: Data interpolation Model calibration

Uses the ESIP Platform Inputs Satellite image datasets

MODIS (MODerate Resolution Imaging Sounder) products.

Meteorological data Field measurements

Eddy covariance measurements for a particular geographical area.

Outputs Vegetation parameters NDVI-FPAR/LAI correlation function Satellite images classified by vegetation indices Statistics on output data Performance evaluation on data processing


GreenView Related Architecture

GreenView application

GPP computingCoarse to fine

Web interfaceC

lient

ESIP (gProcess) Platform

GRID Infrastructure

Ser

ver

ESIP (gProcess) Platform

Fine to coarse



Data interpolation Computes data to an arbitrarily chosen grid defined by the user

from fine to coarse grid from coarse to fine grid

Provides data series for a period chosen by the user, in time steps of the original data or averaged for a certain period

Model calibration GPP (Gross Primary Production) the total amount of carbon taken up by

vegetation via photosynthesis Determination of GPP

Field measurements (eddy covariance technique) – accurate, but limited MOD 17 product (algorithm is based on the BIOME-BGC ecosystem model)

Calibration and sensitivity analysis – based on BIOME BGC model Period: 1997–2008, Monte Carlo method

Post processing Nonlinear inversion method


GreenView – Application Development Methodology

1. Algorithm identification and analysis2. Data model definition3. Identify atomic parts of the algorithms

– Parallel or serial processing– Implementation as services, procedures, separate applications

4. Algorithm implementation5. Description of processing using gProcess

– PDG Definition– iPDG specification– Execution

6. Create the application interface– Link the application interface to the GRID level


GreenView - Algorithm identification and analysis

Interpolation: eg. neighbor interpolation, bicubic interpolation, bilinear interpolation etc. Solution: Coarse to fine interpolation The missing points will be computed using a distance weighted nonlinear

interpolation that computes the value of a Vm point from four surrounding known values: V1, V2, V3 and V4.

Vi - one of the four surrounding pixels, Vi( ); di - the great circle distance between two points; dmax - the great circle distance between the furthest two pixels of the surrounding four pixels; R - average radius for a spherical approximation of the Earth (≈6371.01Km)


GreenView - Data model definition

Identify the inputs, e.g. satellite image types (MODIS, Landsat, Aster etc.) The data model will be defined by a MODIS satellite image representing a certain area of the Earth and temperature data values recorded in specific points inside the same area. The resolution of the MODIS image is 1Km2 and the resolution of the temperature measurements is about 150Km2


GreenView - Identify atomic parts of the computation

The parts of the processing algorithms that can be executed independently, named atomic parts, should be identified and analyzed for potential parallel execution. The interpolation algorithm used in our example is a simple one and does not involve separate processing steps, so it can be all considered as an atomic part.


GreenView - Algorithm implementation

We will need three operators in our example application: system coordinate conversion, interpolation algorithm computation, and the pseudo-coloring.


GreenView – PDG description

Temperature values

Coordinates conversion

MODIS satellite image

Interpolation OutputPseudo-coloring

{year, month}


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 application is available on Internet:

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

Wiki GreenView

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

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


Coarse To Fine Interpolation


Map area selection


Time interval specification


Fine To Coarse Interpolation


GPP Computation


GPP Computation – uploaded files


Results


Coarse to fine – performance evaluation


GPP computation


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


Deployment and support

GreenView is a web applicationThe user accesses by Internet the computation resources and environmental data that are provided by the Grid infrastructureThe GreenView application is based on the ESIP platform and related methodology


Future development

GreenView Application Tests and optimization Tests on other data provided by partners Include tests on extended set of data (e.g. beneficiaries) Extend the GreenView functionality according the new requirements (eg.

EnviMon, soil pollution by heavy metals


Dissemination

Participation to the Regional Environmental Science Workshop, Sofia, May 6-8, 2009. Presentations:

1. Victor Bacu, Dorian Gorgan, Teodor Stefanut, "GreenView”. Reference: SEEGRIDSCI-NA4-RO-001-GreenView_EnvVO-a-2009-05-07.ppt

2. Victor Bacu, Dorian Gorgan, Teodor Stefanut, "ESIP Platform”. Reference: SEEGRIDSCI-JRA1-RO-001-ESIP-a-2009-05-07.ppt

Participation to SCICOM09 - 7th International Conference on "Large-Scale Scientific Computations", 4-8 June, 2009, Sozopol, Bulgaria.Presentation:

1. Dorian Gorgan, Teodor Stefanut, Victor Bacu, Danut Mihon, Denisa Rodila, “Grid based Environment Application Development Methodology”

Participation to HiPerGRID - 3rd International Workshop on High Performance Grid Middleware, 28 May, 2009, Bucharest. Presentation:

1. Victor Bacu, Teodor Stefanut, Denisa Rodila, Dorian Gorgan, “Process Description Graph Composition by gProcess Platform"

Participation to the Student Scientific Communication Session, 22 May 2009, Technical University of Cluj-Napoca. Presentations:

1. Denisa Rodila, Victor Bacu, Dorian Gorgan, “Integration of Satellite Image Operators as Workflows in the gProcess Application”

2. Danut Mihon, Dorian Gorgan, Victor Bacu, Teodor Stefanut, "Grid Based Environment Application Development- Green View"


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. Gorgan, D., Stefanut, T., Bacu, V., Mihon, D., “Grid based Environment Application Development Methodology”, SCICOM09 - 7th International Conference on "Large-Scale Scientific Computations", 4-8 June, Sozopol, Bulgaria, (to be published in LNCS, 2009)

3. Bacu V., Stefanut T., Rodila D., Gorgan D., “Process Description Graph Composition by gProcess Platform”. HiPerGRID - 3rd International Workshop on High Performance Grid Middleware, 28 May, Bucharest. Proceedings of CSCS-17 Conference, Vol.2. ISSN 2066-4451, pp. 423-430, (2009)

4. Rodila D., Bacu V., Gorgan D., “Integration of Satellite Image Operators as Workflows in the gProcess Application”. ICCP2009, 27 Aug, 2009 Cluj-Napoca (accepted for publication)


5. 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 (accepted for publication).

6. 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)

7. 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)


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


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.


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