Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries
2021
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 | Maire, Guerric, Le | 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 | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | Agroécologie et intensification durables des cultures annuelles (UPR AIDA) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | Centre National de Recherche Appliquée au Développement Rural (FOFIFA) | Université Catholique de Louvain = Catholic University of Louvain (UCL) | Institut sénégalais de recherches agricoles [Dakar] (ISRA) | Embrapa Solos ; Ministério da Agricultura | Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) | independent consultant [Kenya] | Centre de Suivi Ecologique [Dakar] (CSE) | Agricultural Research Council [Pretoria, South Africa] (ARC) | Universidade Estadual de Campinas = University of Campinas (UNICAMP) | Brazilian Agricultural Research Corporation = Empresa Brasileira de Pesquisa Agropecuária (Embrapa) | Université Cheikh Anta Diop de Dakar [Sénégal] (UCAD) | CNES APR TOSCA projects, SIGMA FP7 grant no. 603719; ESA Sen2Agri grant no. ESRIN 400109979/14/I-AM; CNPq grant nos. 454292/2014-7 and 307560/2016-3; FAPESP-Microsoft Research grant no. 2014/50715-9, 25 -the SERENA project funded by the CIRAD-INRA metaprogram GloFoodS | ANR-10-EQPX-0020,GEOSUD,GEOSUD : Infrastructure nationale d'imagerie satellitaire pour la recherche sur l'environnement et les territoires et ses applications à la gestion et aux politiques publiques(2010)
International audience
اظهر المزيد [+] اقل [-]إنجليزي. 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 quality-controlled 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).
اظهر المزيد [+] اقل [-]المعلومات البيبليوغرافية
تم تزويد هذا السجل من قبل Institut national de la recherche agronomique