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

Bibliographic Details
Title: Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries
Authors: A. Jolivot, V. Lebourgeois, L. Leroux, M. Ameline, V. Andriamanga, B. Bellón, M. Castets, A. Crespin-Boucaud, P. Defourny, S. Diaz, M. Dieye, S. Dupuy, R. Ferraz, R. Gaetano, M. Gely, C. Jahel, B. Kabore, C. Lelong, G. le Maire​​​​​​​, D. Lo Seen, M. Muthoni, B. Ndao, T. Newby, C. L. M. de Oliveira Santos, E. Rasoamalala, M. Simoes, I. Thiaw, A. Timmermans, A. Tran, A. Bégué
Source: Earth System Science Data, Vol 13, Pp 5951-5967 (2021)
Publisher Information: Copernicus Publications, 2021.
Publication Year: 2021
Collection: LCC:Environmental sciences
LCC:Geology
Subject Terms: Environmental sciences, GE1-350, Geology, QE1-996.5
More Details: 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).
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1866-3508
1866-3516
Relation: https://essd.copernicus.org/articles/13/5951/2021/essd-13-5951-2021.pdf; https://doaj.org/toc/1866-3508; https://doaj.org/toc/1866-3516
DOI: 10.5194/essd-13-5951-2021
Access URL: https://doaj.org/article/9eeb9d76d10f4c3196779cc5b9778e6d
Accession Number: edsdoj.9eeb9d76d10f4c3196779cc5b9778e6d
Database: Directory of Open Access Journals
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More Details
ISSN:18663508
18663516
DOI:10.5194/essd-13-5951-2021
Published in:Earth System Science Data
Language:English