GEO Joint Experiment for Crop Assessment and Monitoring (JECAM): Template for Research Progress Report

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1 GEO Joint Experiment for Crop Assessment and Monitoring (JECAM): Template for Research Progress Report Date: 17 th February 2015 JECAM Test Site Name: Bambey, Sénégal Team Leader and Members: Cirad Valérie Soti Use of Information In addition to the report we would also like to use the information and images you provide to update the jecam.org website. Do you agree to this use of your information? Yes Project Objectives Have the original objectives for your site changed? No Crop identification and acreage estimation: millet, groundnuts and maize Residue and Tillage mapping: No Soil moisture: Joor and Deck soils Crop biophysical variables: NDVI Yield Prediction and Forecasting Other: Delineation and identification of tree and shrubby vegetation s Site Description Location : Top-Left Latitude: Longitude: Top-Right Latitude: Longitude: Bottom-Left Latitude: Longitude: Bottom-Right Latitude: Longitude: Crop Types: Millet, Groundnuts and Maize Typical Crop Rotation: Millet and Groundnuts Topography : low slope, 30 m mean elevation

2 Soils : Ferruginous tropical sandy soils (Joor and Deck soils) Drainage class/irrigation : Very poorly drained; No irrigation Irrigation Infrastructure: Wells and forages Crop calendar : July to the end of October Field size 20 km * 20 km Climate and weather: sub-saharan climate with a wet season from September to November and a dry season from December to August. Agricultural methods used : low level mechanization dominated by drought animal and manual labour Earth Observation (EO) Data Used CNES (ISIS Program) Optical : Pleiade satellite image 3 scenes (ISIS Program) 2013/16/01; 2014/12/31 and 2014/10/2014 (ISIS Program acquisition) Incidence angles : 7 (2013/16/01): 7.5 (2014/12/31) and 6 (2014/10/2014) Spatial resolutions : 2 m in XS, and 0.5 m in pan Ortho level correction Please provide sample pictures of the imagery provided Fig.1: Pleiade sensor representing in red colour different tree species in Bambey study area In situ Data In Senegal, field surveys were conducted during February 2013, 2014 during the dry season when trees are leafy, and in September 2014 corresponding to the crop growing season. More

3 than 1000 trees and 1500 crops were identified (Fig.2) by species, size, density, height, phenoloical activity, geolocated using a global positioning system (GPS), and then integrated in GIS data base. Fig. 2: Field surveys realised from 2013 to 2014 Collaboration The first results and image acquisition have been initiated within the frame work of TRECS, RECOR and SAFSE Projects which are ongoing. The partners in these projects are the CSE (Centre de Suivi Ecologique) of Dakar (Senegal) for field data collection and image processing, the ISRA Agronomic institute and the Biopass/IRD laboratory located in Dakar for insect field data collection and identification; the French IRSTEA research center of Montpellier (France) for

4 developing radar image processing methods for cropping surveys; and the Cirad for spatial analysis and modelling to identify landscape management that enhances natural regulation of millet and groundnuts insect pests. Results Within the frame work of TRECS, SAFSE and RECOR projects, studies using Pléiades images showed limits for tree species identification, except for Azadirachta indica species which were at 100 % correctly located. Concerning the crop mapping, millet and groundnuts were correctly classified at 80% and showed some confusion with bare soil and fallow lands classes. These results are due to the high heterogeneity of the vegetation cover and Chlorophyllian activity, the presence of sandy soil and the small crop plot size. Because of the low trees identification results, we grouped all trees in a single class called Natural Vegetation and we produced a land cover map with 6 classes (Fig. 2): Fig.3: Land cover map of Bambey study area Plans for Next Growing Season To build on these first results in the near future, and specially to improve trees identification, we plan to use satellite images with a richness of bands and a high revisit time, such as WorldView3 (8 bands) or Venus (12 bands) sensors, during the dry season when trees are leafy. Also, to improve crop identifications, we aim to test Terra SARX scenes during the rainy season, corresponding to the crop growing season.

5 Publications Ndao B. (Cirad/CSE), Thiaw I. (Cirad/CSE), Soti V. (Cirad/ CSE)Apport des images Pléiades pour la caractérisation d un parc agroforestier dans la zone de Bambey (Région de Diourbel/ Sénégal) - International congress : XIII e journées du Réseau Télédétection du 17 au 19 Février 2015, Dakar, Senegal. Soti V. (Cirad, CSE), Billand C. (Cirad), Thiaw I. (Cirad/CSE), Lelong C. (Cirad), Brevault T. (Cirad), Thiaw C. (ISRA, CNRA) Apport de la très haute résolution spatiale à l élaboration d un protocole d échantillonnage spatial pour l étude de l effet du paysage sur la régulation naturelle des ravageurs du mil dans la zone de Dangalma au Sénégal. - International congress : XIII e journées du Réseau Télédétection du 17 au 19 Février 2015, Dakar (Senegal) Brévault T., Renou A., Vayssières J.F., Amadji G.L., Assogba Komlan F., Diallo M.D., De Bon H., Diarra K., Hamadoun A., Huat J., Marnotte P., Menozzi P., Prudent P., Rey J.Y., Sall D., Silvie P., Simon S., Sinzogan A., Soti V., Tamo M., Clouvel P DIVECOSYS: Bringing together researchers to design ecologically-based pest management for small-scale farming systems in West Africa. Crop protection, 66 : Ndao B : «Systèmes agroforestiers en zone sèche et régulation naturelle des insectes ravageurs des cultures : réalisation d une carte d occupation du sol dans la zone arachidière de Bambey au Sénégal» Master2 report- Janvier 2015

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