4Crop

1. October 12-14/ 2016 - Perugia, Italy T. De Filippis, L. Rocchi, P. Vignaroli, M. Bacci, V. Tarchiani and E. Rapisardi National Research Council - Institute of Biometeorology (CNR –IBIMET), Florence, Italy OPEN SOURCE GEOPROCESSING TOOLS AND METEOROLOGICAL SATELLITE DATA FOR CROP RISK ZONES MONITORING IN SUB-SAHARAN AFRICA

2. (1) THE SAHELIAN REGION (2) FOOD SECURITY (3) EARLY WARNING SYSTEMS &   FOOD SECURITY (4) THE CROP RISK ZONE MODEL (5) OS GEOPROCESSING TOOLS & WEB APPLICATION (6) RESULTS: BENEFITS AND IMPACT (7) CONCLUSIONS INDEX

3. THE SAHELIAN REGION1 15.000.000 RAIN FED SUBSISTENCE AGRICULTURE MILLET SORGHUM GROUNDNUT COWPEA MAIN CROPS µAVERAGE ANNUAL PRECIPITATIONS 250-600 MM HIGH INTER-ANNUAL PRECIPITATION VARIABILITY RAINY SEASON 70 - 90 dd

4. FOOD SECURITY In the Sahelian Region 2 RAINFED CROP PRODUCTION SOR GHUM MILL ET CLIMATIC CONDITIONS CEREALS CLIMATE HAZARDS POLITICAL INSTABILITY ! MARKET FLUCTUATION FINANCIAL CRISIS PESTS DESEASES FOOD SECURITY

5. EARLY WARNING SYSTEMS AND FOOD SECURITY 3 01 1984-1985 FAMINE EARLY WARNING SYSTEMS NATIONAL AND REGIONAL LEVEL 03 MONITOR FOOD INSECURITY 04 COHERENT AND TIMELY INFORMATION FOOD CRISES PREVENTION AND MANAGEMENT 02

6. • Cumulated Rainfall Estimate Images • Cumulated Precipitation Forecast • 10-days PET (Potential Evapo- Transpiration • Average start of growing season • Average end of growing season • Soil Water Capacity • Agronomic data: phenological phases, crop cycle length, cultural coefficient - Kc THE CROP RISKZONE MODEL 1. Installation module: • Date of crop installation • Date of sowing failures • Date of re-sowing condition • Actual vs. Average crop installation anomalies • Actual vs. last year crop installation anomalies 2. Monitoring module: • Phenological stage • Crop water satisfaction level • Soil water availability 3. Forecast module: • Sowing advices • Seeding successful prediction • Crop water status prediction For Sahelian Countries INPUT OUTPUT 4

7. OS GEOPROCESSING TOOLS CRZ MODEL INSTALLATION MODULE 5 Initialization processes Iteration of functions for crop simulation processes PostGIS library built-in PostgreSQL PL/pgSQL TOOLS

8. 5 SYSTEM ARCHITECTURE Postgres SQL PostGIS GeoDatabase CRZ MODEL Speciﬁc servelets ETL procedures for data loading SYSTEM OUTPUTS Maps and Reports Download RS Rainfall images chains Satellite Data Providers Backend beans/procedure (J2EE) BACKEND WebGIS Application View & Query Data USER INTERFACE FRONT END

9. WEB SERVICES5

10. WEB APPLICATION5 Consiglio Nazionale delle Ricerche Istituto di Biometeorologia CREDITSDISCLAIMER CONTACTS 4CropSuivi Zones à Risque ID NOMMODULEDATE #TAG CAMPAGNECULTURE TABLEAU DE BORD ACTIONSPAYS DEMARRER BONJOUR ARCHIVE DES ANALYSES « 1 2 3 4 5 6 7 8 9 » #TAG CAMPAGNE NOM ANALYSE PAS DE SIMULATION SEUIL DE PLUIE CULTUREMODULEDATE ANALYSE ACTIONS + DD/MM/YYYY Installation Mil130j AAABBBCCC mil 2016Péntadaire 10mm + DD/MM/YYYY Installation Mil130j AAABBBCCC mil 2016Décadaire 10mm + DD/MM/YYYY Suivi Mil130j AAABBBCCC mil 2016Péntadaire 10mm + DD/MM/YYYY Installation Mil130j AAABBBCCC mil 2016Péntadaire 10mm + DD/MM/YYYY Prévision Culture Mil130j AAABBBCCC mil 2016Décadaire 10mm + DD/MM/YYYY Installation Mil130j AAABBBCCC mil 2016Péntadaire 10mm + DD/MM/YYYY Installation Mil130j AAABBBCCC mil 2016Péntadaire 10mm + DD/MM/YYYY Installation Mil130j AAABBBCCC mil 2016Péntadaire 10mm + DD/MM/YYYY Suivi Mil130j AAABBBCCC mil 2016Péntadaire 10mm + DD/MM/YYYY Prévision Sémis Mil130j AAABBBCCC mil 2016Péntadaire 10mm + DD/MM/YYYY Installation Mil130j AAABBBCCC mil 2016Péntadaire 10mm + DD/MM/YYYY Prévision Culture Mil130j AAABBBCCC mi 2016Péntadaire 10mm Choisissez le module, en considerant vos necessités d’analyse. Pour utiliser les modules “Suivi” et “Prévision Culture” pour un semis il faut avoir deja demarré le module “Installation” pour le meme semis.MODULES D’ANALYSE INSTALLATION identiﬁcation de la date d’installation DEMARRER SUIVI suivi de la saison et de l’état des cultures DEMARRER PRÉVISION SEMIS prèvision du succes des semis DEMARRER PRÉVISION CULTURES prèvision de l’état des cultures DEMARRER

11. RESULTS6 MODE SCOPE ACTION USERS DIAGNOSTIC DROUGHT MONITORING CROP RISK ZONES IDENTIFICATION DROUGHT MANAGEMENT FOOD INSECURITY VULNERABILITY ASSESSMENT EXTENSION SERVICES AGRICULTURAL SERVICES PREDICTIVE SOWING ADVICE CROP STATUS PREDICTION PLANNINGFIELDWORK REDUCE SOWINGFAILURE CROP RISK ZONES MONITORING FARMERS EXTENSION SERVICES NATIONAL & REGIONAL EWSs NATIONAL EWSs REG/ INT ORGANIZATIONS & DONORS NAT/REG NETWORKS FOR FOOD CRISIS PREVENTION 4crop Multipurpose Tool

12. 7 CONCLUSIONS ACCESSIBILITY web application increases the accessibility of accurate drought risk information for different stakeholders improve planning, the decision-making process and response measures of various stakeholders PRECISE INFORMATION specific advice for end users at different decision-making levels, bridging the gap be- tween available technology and local users’ needs USER NEEDS contribute to the setting-up of distributed climate services, allowing access and sharinf of climate information through web services and standard protocols. CLIMATE SERVICES 4CropSuivi Zones à Risque OS Solutions contribute to improve capacity building of local Institutions in prevention and response poli- cies to food crises OPEN SOURCE

13. THANK YOU Contacts Leandro Rocchi | l.rocchi@ibimet.cnr.it