Boschetti, Mirco

Busetto, Lorenzo

Diagne, Mandiaye

Nelson, A.D.

Zwart, S.J.

English

University of Twente Research Information

For more informationSander J. Zwart ¹, Lorenzo Busetto 2, Mandiaye Diagne 3 ,Mirco Boschetti 2,Andrew Nelson 11 Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands2 Institute for Electromagnetic Sensing of the Environment, Italian National Research Council, Milan, Italy3 Sahel Station, Africa Rice Center (AfricaRice), Saint Louis, SenegalMapping Changes in Irrigated Rice Area in Senegal Using the PhenoRice Algorithm and MODIS ImageryIntroduction and objectives Irrigated agriculture in the Senegal River Basin is highlydynamic in space and time: the area is increasing andrice farmers adapt their management strategies Competition for water resources is increasing No monitoring system is in place to supportsustainable planning of land and water resources The goal is to assess the capacities of remote sensingto capture the dynamics in  rice area and growingseasonsStudy Area Achieving rice self-suffi ciency is a major policy of thegovernment of Senegal Mauritania and Senegal are expanding irrigated ricearea at fast pace on the banks of  the Senegal River andits delta Conversion to dry season rice cultivation and doublecropping have been widely reported in the last 10 years The major rice areas are characterised by low rainfall ina short rainy season and high temperaturesMethodology A time-series combining MODIS Aqua and Terra250 m resolution composites was used as input The PhenoRice algorithm (Boschetti et al., 2014) waswas deployed to map the main rice areas, and estimatesowing and harvesting dates, based on analysis of the EVIvegetation index and the NDFI fl ooding index Two rice growing seasons (wet season and dry-hotseason) were analysed for 14 consecutive years from2003 to 2016Major fi ndings Farmers shift massively rice cultivation from the wet-season to the dry-hot season when favourable climatecondition lead to higher yields Rice double cropping, uncommon before 2009,increased signifi cantly, mostly in the delta area Bound by climatic conditions and risks in the wetseason, farmers changed from medium to shortduration varieties to cater for double cropping PhenoRice is a suitable tool to detect changes inarea, length and timing of the growing season, and riceintensifi cation in the Senegal River ValleyValidation Offi cial statistics of reported rice area in Senegal inthe wet and dry-hot seasons were compared withPhenoRice detected rice areas The algorithm detectsmore than 50% of the reported area in both seasons,and correctly depicts its inter-annual variations. A fi eld survey of among 100 farmers located in twozones and interviewed annually between 2001 and2010 was deployed to validate detected sowing andharvesting dates for the wet seasonPhenoRice accurately detects the sowing and harvestingdates in the Delta area with RMSE of 6.1 and 5.6respectively and R2 equals 0.97 and 0.78.In the MiddleValley the RMSE is 9.1 and 16.2 and R 2 equals 0.82 and0.76 for sowing and harvesting dates respectively.This work was supported by the ERMES FP7 project (www.ermes-fp7space.eu) funded by the European Union Seventh Framework Pro-gram (FP7/2007-2013) under Grant 606983 Performed under a CRADA between Consiglio Nazionale delle Ricerche-Istituto per il Rilevamento Elettromagnetico dell’Ambiente (UOS Milano), International Rice Research Institute, Faculty ITC of the University of Twente and sarmap SA

Mapping Changes in Area and the Cropping Season of Irrigated Rice in Senegal and Mauritania between 2003 and 2016 Using the PhenoRice Algorithm and MODIS Imagery

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https://ris.utwente.nl/ws/files/20605451/2017_New_Orleans_AGU_Fall_Meeting.pdf

Mapping Changes in Area and the Cropping Season of Irrigated Rice in Senegal and Mauritania between 2003 and 2016 Using the PhenoRice Algorithm and MODIS Imagery

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