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

This database contains nine land use / land cover datasets collected in a standardized manner between 2013 and 2022 in seven tropical countries within the framework of the international JECAM initiative: Burkina Faso (Koumbia), Madagascar (Antsirabe), Brazil (São Paulo and Tocantins), Senegal (Nioro, Niakhar, Mboro, Tattaguine and Koussanar), Kenya (Muranga), Cambodia (Kandal) and South Africa (Mpumalanga) (cf Study_sites.kml).<br> These quality-controlled datasets are distinguished by ground data collected at field scale by local experts, with precise geographic coordinates, and following a common protocol. This database, which contains 31879 records (24 287 crop and 7 592 non-crop) is a geographic layer in Shapefile format in a Geographic Coordinates System with Datum WGS84.<br> Field surveys were conducted yearly in each study zone, either around the growing peak of the cropping season, for the sites with a main growing season linked to the rainy season such as Burkina Faso, or seasonally, for the sites with multiple cropping (e.g. São Paulo site).<br> The GPS waypoints were gathered following an opportunistic sampling approach along the roads or tracks according to their accessibility, while ensuring the best representativity of the existing cropping systems in place. GPS waypoints were also recorded on different types of non-crop classes (e.g. natural vegetation, settlement areas, water bodies) to allow differentiating crop and non-crop classes. Waypoints were only recorded for homogenous fields/entities of at least 20 x 20 m². <br> To facilitate the location of sampling areas and the remote acquisition of waypoints, field operators were equipped with GPS tablets providing access to a QGIS project with Very High Spatial Resolution (VHSR) images ordered just before the surveys. For each waypoint, a set of attributes, corresponding to the cropping practices (crop type, cropping pattern, management techniques) were recorded (for more informations about data, see data paper being published).<br> These datasets can be used to validate existing cropland and crop types/practices maps in the tropics, but also, to assess the performances and the robustness of classification methods of cropland and crop types/practices in a large range of Southern farming systems.

Bibliographic Details

Main Authors:	Jolivot, Audrey, Lebourgeois, Valentine, Ameline, Mael, Andriamanga, Valerie, Bellon, Beatriz, Castets, Mathieu, Crespin-Boucaud, Arthur, Defourny, Pierre, Diaz, Santiana, Dieye, Mohamadou, Dupuy, Stephane, Ferraz, Rodrigo, Gaetano, Raffaele, Gely, Marie, Jahel, Camille, Kabore, Bertin, Lelong, Camille, Le Maire, Guerric, Leroux, Louise, Lo Seen, Danny, Muthoni, Martha, Ndao, Babacar, Newby, Terry, De Oliveira Santos, Cecilia Lira Melo, Rasoamalala, Eloise, Simoes, Margareth, Thiaw, Ibrahima, Timmermans, Alice, Tran, Annelise, Begue, Agnes
Format:	Observational data biblioteca
Language:	English
Published:	CIRAD Dataverse
Subjects:	Agricultural Sciences, Computer and Information Science, Earth and Environmental Sciences, Spatial database, base de données spatiale, Land use, utilisation des terres, Environment, environnement, Field crop, culture de plein champ, Remote sensing, télédétection, Global Positioning Systems, système de positionnement global, Cropping systems, système de culture, Classification,
Online Access:	https://doi.org/10.18167/DVN1/P7OLAP
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