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

Author(s):Show less -

Jolivot, Audrey ^{[1, 2]} ; Lebourgeois, Valentine ^{[1, 2]} ; Leroux, Louise ^{[3, 4, 5]} ; Ameline, Mael ^{[1, 2]} ; Andriamanga, Valerie ^{[1, 6]} ; Bellon, Beatriz ^{[1, 2]} ; Castets, Mathieu ^{[1, 2]} ; Crespin-Boucaud, Arthur ^{[1, 2]} ; Defourny, Pierre ^[7] ; Diaz, Santiana ^{[1, 2]} ; Dieye, Mohamadou ^[8] ; Dupuy, Stephane ^{[1, 2]} ; Ferraz, Rodrigo ^[9] ; Gaetano, Raffaele ^{[1, 2]} ; Gely, Marie ^{[1, 2]} ; Jahel, Camille ^{[1, 2]} ; Kabore, Bertin ; Lelong, Camille ^{[1, 2]} ; le Maire, Guerric ^{[10, 11]} ; Lo Seen, Danny ^{[1, 2]} ; Muthoni, Martha ; Ndao, Babacar ^{[5, 12]} ; Newby, Terry ^[13] ; Melo de Oliveira Santos, Cecilia Lira ^[14] ; Rasoamalala, Eloise ^{[1, 6]} ; Simoes, Margareth ^[9] ; Thiaw, Ibrahima ^[12] ; Timmermans, Alice ^[7] ; Tran, Annelise ^{[1, 2]} ; Begue, Agnes ^{[1, 2]}

Affiliation:Show less -

^[1] CIRAD, UMR TETIS, F-34398 Montpellier - France

^[2] Univ Montpellier, INRAE, CNRS, CIRAD, TETIS, AgroParisTech, Montpellier - France

^[3] CIRAD, UPR AIDA, Dakar - Senegal

^[4] Univ Montpellier, CIRAD, AIDA, Montpellier - France

^[5] Ctr Suivi Ecol CSE, Dakar - Senegal

^[6] Ctr Natl Rech Appl Dev Rural FOFIFA, Antsirabe - Madagascar

^[7] Univ Catholique Louvain UCLouvain, Louvain La Neuve - Belgium

^[8] Inst Senegalais Rech Agr ISRA, Dakar - Senegal

^[9] Brazilian Agr Res Corp EMBRAPA, Rio De Janeiro - Brazil

^[10] CIRAD, UMR ECO & SOLS, F-34398 Montpellier - France

^[11] Univ Montpellier, Inst Agro, INRAE, CIRAD, IRD, Eco & Sols, Montpellier - France

^[12] Univ Cheikh Anta Diop Dakar UCAD, Inst Environm Sci, Dakar - Senegal

^[13] Agr Res Council ARC, Pretoria - South Africa

^[14] Univ Estadual Campinas, Interdisciplinary Ctr Energy Planning, UNICAMP, NIPE, BR-13083896 Campinas, SP - Brazil

• Document type: Journal article
• Source: EARTH SYSTEM SCIENCE DATA; v. 13, n. 12, p. 5951-5967, DEC 23 2021.
• Web of Science Citations: 0

Abstract

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). (AU)

• FAPESP's process: 14/50715-9 - Characterizing and predicting biomass production in sugarcane and eucalyptus plantations in Brazil
• Grantee: Rubens Augusto Camargo Lamparelli
• Support Opportunities: Research Grants - Research Partnership for Technological Innovation - PITE