Mali - Koutiala

Operational Implementation Plans

1. Crop identification and acreage estimation:

2014: Algorithms development and calibration in Kani-Sukumba (Mali)

  • Land use / land cover survey for 150 smallholder fields (30 fields for each of the 5 dominant crops, each field at least 1ha in size)
  • Compilation of historical (2002-2013) land use land cover data into consolidated database (depending on the year of survey, data covers between 150-500 fields)
  • Acquisition of archive TerraSAR-X and Radarsat2 data (if available) and tasking of new data acquisitions, with a target of at least 5 acquisitions for the season (field preparation/pre-sowing stage, vegetative stage, flowering stage, grain-filling stage, post-harvest). 10-day frequency preferred.
  • Algorithm development in partnership with competent ARIs (to be determined)

2015: Algorithms validation and crop area mapping in Sukumba, Kani, Nanposela (Mali)

  • Same as 2014, plus:
  • Forward application of algorithms developed in 2014 cropping season in Sukumba (same geography, different climate) including algorithm re-calibration
  • Forward application of algorithms developed in 2014 cropping season in Kani, Nanposela (different geography, different climate)
  • Peer-reviewed publications on libraries and methods

2. Residue and Tillage mapping: n/a

3. Soil moisture: n/a

4. Crop biophysical variables:

2014: Development of spectral, temporal and contextual (textural) libraries in Sukumba (Mali)

  • Detailed ground characterization of field-scale agronomic practices, environmental conditions (climate, soil), monitoring of canopy growth and collection of end-of-season yield and biomass data for 50 smallholder fields (10 fields for each of the 5 dominant crops, each field at least 1ha in size)
  • Tasking of TerraSAR-X and Radarsat2 data, with a target of at least 5 acquisitions for the season (field preparation/pre-sowing stage, vegetative stage, flowering stage, grain-filling stage, post-harvest). 10-day frequency preferred.
  • Concurrent collection of decadal (10-day) multispectral (VIR/NIR) data from WorldView2/3 and UAV (both NIR camera on-board of fix wings UAV and TetraCaM on-board of octocopter vehicle) under BMGF Remote Sensing Learning Package grant.

2015: field-to-landscape scale yield and biomass prediction for Sukumba (Mali)

  • Same as 2014, plus:
  • Calibration of appropriate yield and biomass prediction model for local conditions
  • Testing of multi-source satellite data assimilation for improved end-of-season yield and biomass predictions, in partnership with Univ. Catholique de Louvain

 

5. Other: n/a

The current project phase is research. The proposed project builds on 2002-2013 research investments in the locality of Sukumba under projects ‘Carbon From Communities’ (NASA, 2002-2004), ‘Soil Management CRSP’ (USAID, 2002-2007), ‘Seeing Is Believing – West Africa’ (AgCommons/BMGF, 2009-2010) and Dryland Systems CRP (CGIAR, 2013-present). It also leverages the upcoming ‘Imagery for Smallholders – Activating Business Entry points and Leveraging Agriculture’ (ISABELA) project (BMGF, 2014-2015).

©2015 Joint Experiment for Crop Assessment and Monitoring
© HER MAJESTY THE QUEEN IN RIGHT OF CANADA SA MAJESTE LA REINE DU CHEF DU CANADA (2015)