Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries

[摘要] The availability of crop type reference datasets for satelliteimage classification is very limited for complex agricultural systems asobserved in developing and emerging countries. Indeed, agricultural land useis very dynamic, agricultural censuses are often poorly georeferenced andcrop types are difficult to interpret directly from satellite imagery.In this paper, we present a database made of 24 datasets collected in astandardized manner over nine sites within the framework of theinternational JECAM (Joint Experiment for Crop Assessment and Monitoring)initiative; the sites were spread over seven countries of the tropical belt,and the number of data collection years depended on the site (from 1 to 7years between 2013 and 2020). These quality-controlled datasets aredistinguished by in situ data collected at the field scale by local experts,with precise geographic coordinates, and following a common protocol.Altogether, the datasets completed 27 074 polygons (20 257 crops and 6817noncrops, ranging from 748 plots in 2013 (one site visited) to 5515 in 2015(six sites visited)) documented by detailed keywords. These datasets can beused to produce and validate agricultural land use maps in the tropics. Theycan also be used to assess the performances and robustness of classificationmethods of cropland and crop types/practices in a large range of tropicalfarming systems. The dataset is available at https://doi.org/10.18167/DVN1/P7OLAP (Jolivot et al., 2021).

[学科分类] 眼科学