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Transcript
Project Overview
Isabelle Piccard (VITO)
Presented by, Lieven Bydekerke
GEO European Projects workshop
London, 8-9 February 2010
Content
 Introduction
 Context
 ISAC team
 Project objectives
 Users
Services
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Introduction

FP7 collaborative project, SPACE-2010-1 call: “Stimulating
the development of GMES services in specific areas”

Basic idea: agricultural monitoring in a changing environment
using high resolution satellite images (20-30m)

Start date: 1 January 2011
Duration: 30 months
Budget: 1 250 757 EUR (EC grant)




Co-ordinator:
Partners:
3
Context



Increase of world population: land resources under stress…
Climate change: more natural disasters…
Agriculture more exposed to evolution of world market prices…
→ Europe: CAP states “farmers should take measures to manage risk”
(insurance, mutual funds,…)
→ Africa: agricultural systems are less well understood, resilience after
disasters is low,… = food aid & development programs are needed to
remedy and formulate actions for sustainable management and
development
need for transparent & reliable information on agriculture
and the agri-environment
= supported by Lisbon protocol, CAP, NEPAD’s Comprehensive
Africa Agricultural Development programme & Environmental
programme,…
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ISAC team
Partner
Expertise
Clear needs: frequent
information covering large
areas
User contacts
Deimos Imaging EO based agriculture (pastures,
crops) & environment applications
Spanish insurance sector
(Agroseguro), ENESA
IIASA
Modelling land use & land use
trends, link between climate change
& index insurance
IFPRI, IGAD
World Bank
GeoSAS
Food security & disaster risk
management, involved in Ethiopia
Drought Insurance Pilot Project
IGAD member countries, WFP, World
Bank
Eth. insurance sector
Infoterra UK
Geo-information provider, a.o. for
emergency sector, leading SAFER
& Garnet-E projects
Emergency response community in
Africa
VITO
Image processing & EO based
applications for monitoring
agriculture & food security: leading
GMFS, involved in geoland2,
MARSOP, ADASCIS projects
Belgian and Eur. insurance sector,
Flemish Agriculture Administration,
Belgian Agricultural Calamity Fund,
JRC-MARS,
Food security community in Africa +
international (UN, EC)
Global Land user community
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Project objectives
Existing services based on low/medium resolution satellite data
Increased availability of high resolution, wide swath satellite data

Development of 3 prototype services:
 Core Mapping Service on High Resolution Biophysical
Parameters (ABP-CMS)
 Core Information Service on Drought stress (DS-CIS)
 Core Information Service on Agricultural change (AC-CIS)

Service demonstration in Belgium, Spain and
Ethiopia
Long term sustainability: feed into existing GMES services,
stimulate downstream services with paying clients
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Users & demonstrations

Insurance sector (Agroseguro Spain, Belgian insurance
sector - Assuralia, CEA, NYALA Ethiopia,…)

Authorities (Flemish Agriculture administration, ENESA
Spain, Ministry of Agriculture Ethiopia,…)

Food security & Emergency response sector
 Current initiatives in IGAD region related to food security
& emergency response (ICPAC, REFORM, crop
production monitoring database of CPSZ/FAO/EC, …)
 Information provider activities: GMES Africa, JRC Africa,
GEO/GEOSS, FAO, USAID and UN activities.
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Service R&D – CMS HR BioPar

Role of VITO (WP leader): development of a processing chain to
derive biophysical parameters from high resolution DMC/Deimos-1
satellite images

Methodology:
Based on CTIV, MARS-OP and Geoland-2 experience in
processing low & medium resolution satellite data (SPOT-VGT,
NOAA & METOP AVHRR, MODIS, MERIS) and experience in
(very) high resolution airborne & UAV data processing
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Service R&D – CIS Drought stress

Development of a prototype service for drought related crop
damage & risk assessment based on HR BioPar

Methodology:
Based on ADASCIS, project for Belgian Agricultural Calamity Fund
→ anomaly detection, crop damage & risk assessment per
municipality, based on SPOT-VGT fAPAR
fAPAR
exceptional?
Return frequency
Large number of
exceptional values in crop’s
critical period: “potentially
damaged”
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Service R&D – CMS Agricultural change
 Short-term AC to improve
crop yield forecast & early
warning
 Long-term AC detection
integrating EPIC outputs
with GLOBIOM for long
term CC impact
Courtesy IIASA, Steffen Fritz, Marijn De Valck
Thank you!
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