Irrigation Development Support Program (PADI) Result 2: Agricultural water management in Burkina Faso Objectives: Farid TRAORE 1 , Joost WELLENS 2 , Bernard TYCHON 2 , Kibissi PARE 3 and Adolphe ZANGRE 3 Contact: [email protected] ou www.ge‐eau.org Remote sensing: Using remote sensing (change detection analysis) for irrigated area monitoring: • Collect a set of satellite images well distributed over a given period (i.e. 2‐3 decades); • Classify each satellite image (Support Vector Machine); • Perform a pixel trajectory analysis in order to correct unlikely trajectories for each image pixel. Some rules are set up based on ancillary data (surveys, interviews, etc.) about the general evolution of the land use and cover; • Correct the classified images based on a backward and forward change detection analysis. Decision support: Developing (or customizing) agricultural water management tools : • Multi‐scale approach for agricultural water management (from watershed to parcel level); • Watershed level: automated hydrometric stations (and land use maps) for water resources monitoring; • Irrigation scheme level: using SIMIS (Scheme Irrigation Management Information System) (FAO) as a decision support system for better water allocations; • Field level: using AquaCrop (FAO) to improve water productivity. Capacity building: Reinforcing capacities of National agencies in charge of agriculture and water resources management: • Organizing training sessions for the National agencies in charge of agriculture and water resources management; • Building an operational ‘GIS and remote sensing unit’ to respond to GIS and remote sensing needs, and to build a geodatabase to centralize national irrigation schemes spatial data. The goal of the PADI‐BF102 project is to contribute to improving water management for agriculture at sub‐basin level. In order, PADI‐BF102 works to strengthen the capacity of national agencies in charge of agriculture in the design and implementation of water management tools. The project is present in 3 (target) regions: the Kou watershed, the Comoe watershed and the Mogtedo watershed. 1 Association pour la Promotion de l’Education et de la Formation à l’Etranger (APEFE) & Wallonie‐ Bruxelles international; 2 University of Liege – Department of environmental sciences and management; 3 Ministère de l’Agriculture, des Ressources Hydrau‐ liques, de l’Assainissement et de la Sécurité Alimen‐ taire, Direction Générale des Aménagements et du Développement de l’Irrigation. Banfora, 1986 Banfora, 2015 Classes 1986 (ha) 2015 (ha) Variations (%) Irrigated/flooded lands 3 794 5 244 38 Shrubs and trees 6 101 3 789 ‐37 Rainfed lands 3 774 4 713 24 Water bodies 153 64 ‐58 Banfora (GoogleEarth) SIMIS: Proposed irrigation schedule (Bama rice perimeter, Kou watershed) Yield monitoring Rural appraisal Hydrometric station Flow measurements

Irrigation Development Support Program (PADI) · Irrigation Development Support Program (PADI) Result 2:Agricultural water management in Burkina Faso Objectives: FaridTRAORE1, Joost

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Irrigation Development Support Program (PADI)

Result 2: Agricultural water management in Burkina Faso

Objectives:

Farid TRAORE1, Joost WELLENS2, Bernard TYCHON2, Kibissi PARE3 and Adolphe ZANGRE3

Contact: [email protected] ou www.ge‐eau.org

Remote sensing:Using remote sensing (change detection analysis) forirrigated area monitoring:• Collect a set of satellite images well distributed

over a given period (i.e. 2‐3 decades);• Classify each satellite image (Support Vector

Machine);• Perform a pixel trajectory analysis in order to

correct unlikely trajectories for each image pixel.Some rules are set up based on ancillary data(surveys, interviews, etc.) about the generalevolution of the land use and cover;

• Correct the classified images based on a backwardand forward change detection analysis.

Decision support:Developing (or customizing) agricultural watermanagement tools :• Multi‐scale approach for agricultural water

management (from watershed to parcel level);• Watershed level: automated hydrometric stations

(and land use maps) for water resourcesmonitoring;

• Irrigation scheme level: using SIMIS (SchemeIrrigation Management Information System) (FAO)as a decision support system for better waterallocations;

• Field level: using AquaCrop (FAO) to improvewater productivity.

Capacity building:

Reinforcing capacities of National agencies in chargeof agriculture and water resources management:• Organizing training sessions for the National

agencies in charge of agriculture and waterresources management;

• Building an operational ‘GIS and remote sensingunit’ to respond to GIS and remote sensing needs,and to build a geodatabase to centralize nationalirrigation schemes spatial data.

The goal of the PADI‐BF102 project is to contribute to improving water management for agriculture at sub‐basin level. In order, PADI‐BF102 works to strengthen the capacityof national agencies in charge of agriculture in the design and implementation of water management tools. The project is present in 3 (target) regions: the Kou watershed,the Comoe watershed and the Mogtedo watershed.

1 Association pour la Promotion de l’Education et dela Formation à l’Etranger (APEFE) & Wallonie‐Bruxelles international;2 University of Liege – Department of environmentalsciences and management;3 Ministère de l’Agriculture, des Ressources Hydrau‐liques, de l’Assainissement et de la Sécurité Alimen‐taire, Direction Générale des Aménagements et duDéveloppement de l’Irrigation.

Banfora, 1986

Banfora, 2015

Classes1986(ha)

2015(ha)

Variations (%)

Irrigated/flooded lands 3 794 5 244 38

Shrubs and trees 6 101 3 789 ‐37

Rainfed lands 3 774 4 713 24

Water bodies 153 64 ‐58

Banfora (GoogleEarth)

SIMIS: Proposed irrigation schedule(Bama rice perimeter, Kou watershed)

Yield monitoring Rural appraisal