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

Autor: Louise Leroux, Camille Lelong, Babacar Ndao, Mohamadou Dieye, Danny Lo Seen, Raffaele Gaetano, Annelise Tran, Bertin Kabore, Alice Timmermans, Audrey Jolivot, Agnès Bégué, Ibrahima Thiaw, Mathieu Castets, Stéphane Dupuy, Arthur Crespin-Boucaud, Beatriz Bellón, Margareth Simoes, Terry Newby, Pierre Defourny, Cecilia Lira Melo de Oliveira Santos, Guerric Le Maire, Eloise Rasoamalala, Camille Jahel, Valérie Andriamanga, Maël Ameline, Marie Gely, Santiana Diaz, Valentine Lebourgeois, Martha Muthoni, Rodrigo P.D. Ferraz
Jazyk: angličtina
Rok vydání: 2021
Předmět:
ISSN: 1866-3516
Popis: This database contains nine land use / land cover datasets collected in a standardized manner between 2013 and 2020 in seven tropical countries within the framework of the international JECAM initiative: Burkina Faso (Koumbia), Madagascar (Antsirabe), Brazil (Sao Paulo and Tocantins), Senegal (Nioro and Niakhar), Kenya (Muranga), Cambodia (Kandal) and South Africa (Mpumalanga) (cf Study_sites.kml). 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 27 074 records (20 257 crop and 6 817 non-crop) is a geographic layer in Shapefile format in a Geographic Coordinates System with Datum WGS84. 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. Sao Paulo site). 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. 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). 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.
Databáze: OpenAIRE