Copernicus Global Land Service possible downstream services in Agriculture. Lieven Bydekerke, Programme Manager Remote Sensing Applications
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1 Copernicus Global Land Service possible downstream services in Agriculture Lieven Bydekerke, Programme Manager Remote Sensing Applications
2 Outline» Challenges in global Agriculture» Remote sensing & agriculture» Copernicus global land service» Downstream use» Index-based insurance» ISAC» Capacity building 2
3 Global Agriculture: some Background Challenges in agriculture & land use: Competition between food, feed & energy ~800mi people hungry & overconsumption in other areas Price volatility World population > 9bn by 2050 Agricultural productivity to increase by 70% sustainable agriculture & environmental impact 3 3
4 Diversity in Agriculture 4
5 5
6 GEO Global Agricultural Monitoring» G20 initiative on Global agricultural monitoring» to enhance agricultural production estimates through the use of Earth observations» to strengthen the international community s capacity» Community of Practise (international)» Workplan: 6 Components:» (Global & Regional Systems, National capacity development, Countries at risk, EO data coordination, R&D coordination, Data products & information dissemination)» Europe s contribution:» Copernicus Global Component» FP7 programme s & projects (AGRICAB, ISAC, )» & many more 6
7 USE?» RS based information Uptake by user communities 7
8 Develop Develop Methods & Indicators Learn Capacity building: supporting & training user communities Use Produce Operationally Produce Advanced Indicators Distribute Distribute and Share, using Geonetcast and other 8
9 Copernicus Initial Operations Global Land Service: Operationally Produce Advanced Indicators Timely production of 14 Global (Biophysical) parameters (Vegetation, Radiation, Water) Based on FP7 GEOLAND-2 processing chains Operations: VITO, IPMA, ZAMG with support science teams Evolution: HYGEOS, UCL, Uni Leicester, Uni Lisbon, TU Wien, INRA, EOLAB, IPMA, METEO- France, VITO Satellite data Input Processing and Archiving Product Dissemination 9
10 Remote sensing Support to the European Commission» EC JRC MARSOP» Agricultural production?» Support to the European Commission Common Agricultural Policy (CAP)» Since 2000» Operational delivery remote sensing indicators and software CIS CCA WAF IGA ASI MCS SAC AFR 11
11 Montiroring Food Security in Africa
12 Development of a global Agricultural Drought Stress Index System (ASIS) based on remote sensing data ASIS is about monitoring vegetation drought stress only in crop growing season over crop areas on a sub-national level on a global scale Based on Vegetation Health Index ASIS serves the Global Information and Early Warning System (GIEWS) of FAO every 10 days with global maps to detect hotspots of drought in a Near Real Time mode. Percentage of crop area affected by drought in the first growing season of 2011 July 2008, NOAA Example for the 2011 drought in the Horn Of Africa
13 Information Service on Agricultural Change (ISAC FP7) Detailed needs assessment: commercial insurance sector, food security sector (early warning & micro-insurance)» Development of 3 prototype services:» High Resolution Biophysical Parameters (DMC/Deimos)» Drought stress : damage assessment for insurance» Agricultural change : crop models for insurance» Service demonstration in Belgium, Spain, Ethiopia (2012) Long term sustainability: (i) HR biophysical parameters: potential future Copernicus service (ii) Insurance products: potential downstream service for paying clients 15 15
14 cereal yield (qx/ha) Index-based insurance» Feasibility studies in Russia, Marocco, Ukraine, Senegal,.. demonstrating the usage of satellite based observations to support agricultural insurances BEN SLIMANE y = 0,1264x - 16,308 R² = 0, faparcum (D3 Feb - D2 Apr) BEN SLIMANE Linear (BEN SLIMANE) 16
15 Looking for more detail: monitoring and damage assessments at field level with HR satellite imagery (25m)» Insurance» Precision farming MODIS 10-daily synthesis, 250m, 1 April 2009 DMC, 25m 1 April 2009 Gemeente Zwevegem fapar index: return period for winter wheat, in /4 10/4 30/4 24/5 29/5 13/6 25/6 30/6 17
16 Capacity building: supporting & training user communities» AGRICAB (FP7), GMFS» Using Copernicus data sets to demonstrate» > 15 Workshops in the past 3 years» > 150 persons trained» Refresher & more advanced courses» > 20 workshops planned in the following 3 years» Training material» Tutorials, Excercises» Programme available online 18
17 SPOT-VEGETATION continuity: PROBA-V 19
18 Thank you! VITO - Flemish Institute for Technological Research Boeretang 200, 2400 B-Mol, Belgium lieven.bydekerke@vito.be; Tim.jacobs@vito.be; sven.gilliams@vito.be carolien.tote@vito.be; iabelle.piccard@vito.be; herman.eerens@vito.be; bruno.smets@vito.be ; dong.qinghan@vito.be 20
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