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

Title: Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries
Authors: Jolivot, Audrey; Lebourgeois, Valentine; Leroux, Louise; Ameline, Mael; Andriamanga, Valérie; Bellón, Beatriz; Castets, Mathieu; Crespin-Boucaud, Arthur; Defourny, Pierre; Diaz, Santiana; Dieye, Mohamadou; Dupuy, Stéphane; Ferraz, Rodrigo; Gaetano, Raffaele; Gely, Marie; Jahel, Camille; Kabore, Bertin; Lelong, Camille; le Maire, Guerric; Lo Seen, Danny; Muthoni, Martha; Ndao, Babacar; Newby, Terry; de Oliveira Santos, Cecília Lira Melo; Rasoamalala, Eloise; Simoes, Margareth; Thiaw, Ibrahima; timmermans, Alice; Tran, Annelise; Bégué, Agnès
Contributors: UCL - SST/ELI/ELIE - Environmental Sciences
Source: Earth System Science Data, Vol. 13, no.12, p. 5951-5967 (2021)
Publisher Information: Copernicus GmbH
Publication Year: 2021
Collection: DIAL@USL-B (Université Saint-Louis, Bruxelles)
Subject Terms: General Earth and Planetary Sciences; Agricultural land; Cropland; Arable land; Temporary crop; Cash crop; Fiber crop
Description: The availability of crop type reference datasets for satellite image classification is very limited for complex agricultural systems as observed in developing and emerging countries. Indeed, agricultural land use is very dynamic, agricultural censuses are often poorly georeferenced and crop types are difficult to interpret directly from satellite imagery. In this paper, we present a database made of 24 datasets collected in a standardized manner over nine sites within the framework of the international 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 7 years between 2013 and 2020). These qualitycontrolled datasets are distinguished 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 6817 noncrops, ranging from 748 plots in 2013 (one site visited) to 5515 in 2015 (six sites visited)) documented by detailed keywords. These datasets can be used to produce and validate agricultural land use maps in the tropics. They can also be used to assess the performances and robustness of classification methods of cropland and crop types/practices in a large range of tropical farming systems. The dataset is available at https://doi.org/10.18167/DVN1/P7OLAP (Jolivot et al., 2021).
Document Type: article in journal/newspaper
Language: English
Relation: boreal:257827; http://hdl.handle.net/2078.1/257827
DOI: 10.18167/DVN1/P7OLAP
Availability: http://hdl.handle.net/2078.1/257827; https://doi.org/10.18167/DVN1/P7OLAP
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.B84A7B4E
Database: BASE