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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
(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
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
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
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
• 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
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
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
WEB SERVICES5
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
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
7 CONCLUSIONS
ACCESSIBILITY
web application increases
the accessibility of accurate
drought risk information for
different stakeholders
improve planning, the deci-
sion-making process and re-
sponse 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 pre-
vention and response poli-
cies to food crises
OPEN SOURCE
THANK YOU
Contacts
Leandro Rocchi | l.rocchi@ibimet.cnr.it

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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
  • 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 deci- sion-making process and re- sponse 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 pre- vention and response poli- cies to food crises OPEN SOURCE
  • 13. THANK YOU Contacts Leandro Rocchi | l.rocchi@ibimet.cnr.it