Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1138780
Title: Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries.
Authors: JOLIVOT, A.
LEBOURGEOIS, V.
LEROUX, L.
AMELINE, M.
ANDRIAMANGA, V.
BELLÓN, B.
CASTETS, M.
CRESPIN-BOUCAUD, A.
DEFOURNY, P.
DIAZ, S.
DIEYE, M.
DUPUY, S.
FERRAZ, R. P. D.
GAETANO, R.
GELY, M.
JAHEL, C.
KABORE, B.
LELONG, C.
LE MAIRE, G.
LO SEEN, D.
MUTHONI, M.
NDAO, B.
NEWBY, T.
SANTOS, C. L. M. de O.
RASOAMALALA, E.
SIMÕES, M.
THIAW, I.
TIMMERMANS, A.
TRAN, A.
BÉGUÉ, A.
Affiliation: AUDREY JOLIVOT, CIRAD/TETIS; VALENTINE LEBOURGEOIS, CIRAD/TETIS; LOUISE LEROUX, CIRAD/AIDA/Centre de Suivi Ecologique; MAEL AMELINE, CIRAD/TETIS; VALÉRIE ANDRIAMANGA, CIRAD/Centre National de la Recherche Appliquée au Développement Rural; BEATRIZ BELLÓN, CIRAD/TETIS; MATHIEU CASTETS, CIRAD/TETIS; ARTHUR CRESPIN-BOUCAUD, CIRAD/TETIS; PIERRE DEFOURNY, Université Catholique de Louvain; SANTIANA DIAZ, CIRAD/TETIS; MOHAMADOU DIEYE, Institut Sénégalais de Recherches Agricoles; STÉPHANE DUPUY, CIRAD/TETIS; RODRIGO PECANHA DEMONTE FERRAZ, CNPS; RAFFAELE GAETANO, CIRAD/TETIS; MARIE GELY, CIRAD/TETIS; CAMILLE JAHEL, CIRAD/TETIS; BERTIN KABORE, Independent consultant: Ouagadougou, Burkina Faso; CAMILLE LELONG, CIRAD/TETIS; GUERRIC LE MAIRE, CIRAD/Eco&Sols; DANNY LO SEEN, CIRAD/TETIS; MARTHA MUTHONI, Independent consultant: Nairobi, Kenya; BABACAR NDAO, Centre de Suivi Ecologique/Université Cheikh Anta Diop de Dakar; TERRY NEWBY, Agricultural Research Council; CECÍLIA LIRA MELO DE OLIVEIRA SANTOS, UNICAMP; ELOISE RASOAMALALA, CIRAD/Centre National de la Recherche Appliquée au Développement Rural; MARGARETH GONCALVES SIMOES, CNPS; IBRAHIMA THIAW, Université Cheikh Anta Diop de Dakar; ALICE TIMMERMANS, Université Catholique de Louvain; ANNELISE TRAN, CIRAD/TETIS; AGNÈS BÉGUÉ, CIRAD/TETIS.
Date Issued: 2021
Citation: Earth System Science Data, v. 13, n. 2, p. 5951-5967, 2021.
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 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).
Thesagro: Sistema de Cultivo
Cobertura do Solo
Sensoriamento Remoto
NAL Thesaurus: Cropping systems
Cropland
Remote sensing
Language: Ingles
DOI: https://doi.org/10.5194/essd-13-5951-2021
Type of Material: Artigo de periódico
Access: openAccess
Appears in Collections:Artigo em periódico indexado (CNPS)

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