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 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