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

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.

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Main Authors: Jolivot, Audrey, Lebourgeois, Valentine, Leroux, Louise, Ameline, Maël, Andriamanga, Valérie, Bellon, Béatriz, Castets, Mathieu, Crespin-Boucaud, Arthur, Defourny, Pierre, Diaz, Santiana, Dieye, Mohamadou, Dupuy, Stéphane, Ferraz, Rodrigo P.D., Gaetano, Raffaele, Gély, Marie, Jahel, Camille, Kabore, Bertin, Lelong, Camille, Le Maire, Guerric, Lo Seen, Danny, Muthoni, Martha, Ndao, Babacar, Newby, Terrence, de Oliveira Santos, Cecília Lira Melo, Rasoamalala, Eloise, Simoes, Margareth, Thiaw, Ibrahima, Timmermans, Alice, Tran, Annelise, Bégué, Agnès
Format: article biblioteca
Language:eng
Published: Copernicus GmbH
Subjects:cartographie de l'utilisation des terres, système de culture, utilisation des terres, télédétection, imagerie par satellite, surveillance des cultures, système d'exploitation agricole, classification des terres, pratique culturale, terre agricole, rotation culturale, diversification, http://aims.fao.org/aos/agrovoc/c_9000100, http://aims.fao.org/aos/agrovoc/c_1971, http://aims.fao.org/aos/agrovoc/c_4182, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_36761, http://aims.fao.org/aos/agrovoc/c_37838, http://aims.fao.org/aos/agrovoc/c_2807, http://aims.fao.org/aos/agrovoc/c_15991, http://aims.fao.org/aos/agrovoc/c_2018, http://aims.fao.org/aos/agrovoc/c_2808, http://aims.fao.org/aos/agrovoc/c_6662, http://aims.fao.org/aos/agrovoc/c_2344, http://aims.fao.org/aos/agrovoc/c_8081, http://aims.fao.org/aos/agrovoc/c_6970, http://aims.fao.org/aos/agrovoc/c_4510,
Online Access:http://agritrop.cirad.fr/599933/
http://agritrop.cirad.fr/599933/1/essd-13-5951-2021.pdf
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institution CIRAD FR
collection DSpace
country Francia
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region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic cartographie de l'utilisation des terres
système de culture
utilisation des terres
télédétection
imagerie par satellite
surveillance des cultures
système d'exploitation agricole
classification des terres
pratique culturale
terre agricole
rotation culturale
diversification
http://aims.fao.org/aos/agrovoc/c_9000100
http://aims.fao.org/aos/agrovoc/c_1971
http://aims.fao.org/aos/agrovoc/c_4182
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_36761
http://aims.fao.org/aos/agrovoc/c_37838
http://aims.fao.org/aos/agrovoc/c_2807
http://aims.fao.org/aos/agrovoc/c_15991
http://aims.fao.org/aos/agrovoc/c_2018
http://aims.fao.org/aos/agrovoc/c_2808
http://aims.fao.org/aos/agrovoc/c_6662
http://aims.fao.org/aos/agrovoc/c_2344
http://aims.fao.org/aos/agrovoc/c_8081
http://aims.fao.org/aos/agrovoc/c_6970
http://aims.fao.org/aos/agrovoc/c_4510
cartographie de l'utilisation des terres
système de culture
utilisation des terres
télédétection
imagerie par satellite
surveillance des cultures
système d'exploitation agricole
classification des terres
pratique culturale
terre agricole
rotation culturale
diversification
http://aims.fao.org/aos/agrovoc/c_9000100
http://aims.fao.org/aos/agrovoc/c_1971
http://aims.fao.org/aos/agrovoc/c_4182
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_36761
http://aims.fao.org/aos/agrovoc/c_37838
http://aims.fao.org/aos/agrovoc/c_2807
http://aims.fao.org/aos/agrovoc/c_15991
http://aims.fao.org/aos/agrovoc/c_2018
http://aims.fao.org/aos/agrovoc/c_2808
http://aims.fao.org/aos/agrovoc/c_6662
http://aims.fao.org/aos/agrovoc/c_2344
http://aims.fao.org/aos/agrovoc/c_8081
http://aims.fao.org/aos/agrovoc/c_6970
http://aims.fao.org/aos/agrovoc/c_4510
spellingShingle cartographie de l'utilisation des terres
système de culture
utilisation des terres
télédétection
imagerie par satellite
surveillance des cultures
système d'exploitation agricole
classification des terres
pratique culturale
terre agricole
rotation culturale
diversification
http://aims.fao.org/aos/agrovoc/c_9000100
http://aims.fao.org/aos/agrovoc/c_1971
http://aims.fao.org/aos/agrovoc/c_4182
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_36761
http://aims.fao.org/aos/agrovoc/c_37838
http://aims.fao.org/aos/agrovoc/c_2807
http://aims.fao.org/aos/agrovoc/c_15991
http://aims.fao.org/aos/agrovoc/c_2018
http://aims.fao.org/aos/agrovoc/c_2808
http://aims.fao.org/aos/agrovoc/c_6662
http://aims.fao.org/aos/agrovoc/c_2344
http://aims.fao.org/aos/agrovoc/c_8081
http://aims.fao.org/aos/agrovoc/c_6970
http://aims.fao.org/aos/agrovoc/c_4510
cartographie de l'utilisation des terres
système de culture
utilisation des terres
télédétection
imagerie par satellite
surveillance des cultures
système d'exploitation agricole
classification des terres
pratique culturale
terre agricole
rotation culturale
diversification
http://aims.fao.org/aos/agrovoc/c_9000100
http://aims.fao.org/aos/agrovoc/c_1971
http://aims.fao.org/aos/agrovoc/c_4182
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_36761
http://aims.fao.org/aos/agrovoc/c_37838
http://aims.fao.org/aos/agrovoc/c_2807
http://aims.fao.org/aos/agrovoc/c_15991
http://aims.fao.org/aos/agrovoc/c_2018
http://aims.fao.org/aos/agrovoc/c_2808
http://aims.fao.org/aos/agrovoc/c_6662
http://aims.fao.org/aos/agrovoc/c_2344
http://aims.fao.org/aos/agrovoc/c_8081
http://aims.fao.org/aos/agrovoc/c_6970
http://aims.fao.org/aos/agrovoc/c_4510
Jolivot, Audrey
Lebourgeois, Valentine
Leroux, Louise
Ameline, Maël
Andriamanga, Valérie
Bellon, Béatriz
Castets, Mathieu
Crespin-Boucaud, Arthur
Defourny, Pierre
Diaz, Santiana
Dieye, Mohamadou
Dupuy, Stéphane
Ferraz, Rodrigo P.D.
Gaetano, Raffaele
Gély, Marie
Jahel, Camille
Kabore, Bertin
Lelong, Camille
Le Maire, Guerric
Lo Seen, Danny
Muthoni, Martha
Ndao, Babacar
Newby, Terrence
de Oliveira Santos, Cecília Lira Melo
Rasoamalala, Eloise
Simoes, Margareth
Thiaw, Ibrahima
Timmermans, Alice
Tran, Annelise
Bégué, Agnès
Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries
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.
format article
topic_facet cartographie de l'utilisation des terres
système de culture
utilisation des terres
télédétection
imagerie par satellite
surveillance des cultures
système d'exploitation agricole
classification des terres
pratique culturale
terre agricole
rotation culturale
diversification
http://aims.fao.org/aos/agrovoc/c_9000100
http://aims.fao.org/aos/agrovoc/c_1971
http://aims.fao.org/aos/agrovoc/c_4182
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_36761
http://aims.fao.org/aos/agrovoc/c_37838
http://aims.fao.org/aos/agrovoc/c_2807
http://aims.fao.org/aos/agrovoc/c_15991
http://aims.fao.org/aos/agrovoc/c_2018
http://aims.fao.org/aos/agrovoc/c_2808
http://aims.fao.org/aos/agrovoc/c_6662
http://aims.fao.org/aos/agrovoc/c_2344
http://aims.fao.org/aos/agrovoc/c_8081
http://aims.fao.org/aos/agrovoc/c_6970
http://aims.fao.org/aos/agrovoc/c_4510
author Jolivot, Audrey
Lebourgeois, Valentine
Leroux, Louise
Ameline, Maël
Andriamanga, Valérie
Bellon, Béatriz
Castets, Mathieu
Crespin-Boucaud, Arthur
Defourny, Pierre
Diaz, Santiana
Dieye, Mohamadou
Dupuy, Stéphane
Ferraz, Rodrigo P.D.
Gaetano, Raffaele
Gély, Marie
Jahel, Camille
Kabore, Bertin
Lelong, Camille
Le Maire, Guerric
Lo Seen, Danny
Muthoni, Martha
Ndao, Babacar
Newby, Terrence
de Oliveira Santos, Cecília Lira Melo
Rasoamalala, Eloise
Simoes, Margareth
Thiaw, Ibrahima
Timmermans, Alice
Tran, Annelise
Bégué, Agnès
author_facet Jolivot, Audrey
Lebourgeois, Valentine
Leroux, Louise
Ameline, Maël
Andriamanga, Valérie
Bellon, Béatriz
Castets, Mathieu
Crespin-Boucaud, Arthur
Defourny, Pierre
Diaz, Santiana
Dieye, Mohamadou
Dupuy, Stéphane
Ferraz, Rodrigo P.D.
Gaetano, Raffaele
Gély, Marie
Jahel, Camille
Kabore, Bertin
Lelong, Camille
Le Maire, Guerric
Lo Seen, Danny
Muthoni, Martha
Ndao, Babacar
Newby, Terrence
de Oliveira Santos, Cecília Lira Melo
Rasoamalala, Eloise
Simoes, Margareth
Thiaw, Ibrahima
Timmermans, Alice
Tran, Annelise
Bégué, Agnès
author_sort Jolivot, Audrey
title Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries
title_short Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries
title_full Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries
title_fullStr Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries
title_full_unstemmed Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries
title_sort harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries
publisher Copernicus GmbH
url http://agritrop.cirad.fr/599933/
http://agritrop.cirad.fr/599933/1/essd-13-5951-2021.pdf
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spelling dig-cirad-fr-5999332024-12-20T10:32:53Z http://agritrop.cirad.fr/599933/ http://agritrop.cirad.fr/599933/ Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries. Jolivot Audrey, Lebourgeois Valentine, Leroux Louise, Ameline Maël, Andriamanga Valérie, Bellon Béatriz, Castets Mathieu, Crespin-Boucaud Arthur, Defourny Pierre, Diaz Santiana, Dieye Mohamadou, Dupuy Stéphane, Ferraz Rodrigo P.D., Gaetano Raffaele, Gély Marie, Jahel Camille, Kabore Bertin, Lelong Camille, Le Maire Guerric, Lo Seen Danny, Muthoni Martha, Ndao Babacar, Newby Terrence, de Oliveira Santos Cecília Lira Melo, Rasoamalala Eloise, Simoes Margareth, Thiaw Ibrahima, Timmermans Alice, Tran Annelise, Bégué Agnès. 2021. Earth System Science Data, 13 (12) : 5951-5967.https://doi.org/10.5194/essd-13-5951-2021 <https://doi.org/10.5194/essd-13-5951-2021> Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries Jolivot, Audrey Lebourgeois, Valentine Leroux, Louise Ameline, Maël Andriamanga, Valérie Bellon, Béatriz Castets, Mathieu Crespin-Boucaud, Arthur Defourny, Pierre Diaz, Santiana Dieye, Mohamadou Dupuy, Stéphane Ferraz, Rodrigo P.D. Gaetano, Raffaele Gély, Marie Jahel, Camille Kabore, Bertin Lelong, Camille Le Maire, Guerric Lo Seen, Danny Muthoni, Martha Ndao, Babacar Newby, Terrence de Oliveira Santos, Cecília Lira Melo Rasoamalala, Eloise Simoes, Margareth Thiaw, Ibrahima Timmermans, Alice Tran, Annelise Bégué, Agnès eng 2021 Copernicus GmbH Earth System Science Data cartographie de l'utilisation des terres système de culture utilisation des terres télédétection imagerie par satellite surveillance des cultures système d'exploitation agricole classification des terres pratique culturale terre agricole rotation culturale diversification http://aims.fao.org/aos/agrovoc/c_9000100 http://aims.fao.org/aos/agrovoc/c_1971 http://aims.fao.org/aos/agrovoc/c_4182 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_36761 http://aims.fao.org/aos/agrovoc/c_37838 http://aims.fao.org/aos/agrovoc/c_2807 http://aims.fao.org/aos/agrovoc/c_15991 http://aims.fao.org/aos/agrovoc/c_2018 http://aims.fao.org/aos/agrovoc/c_2808 http://aims.fao.org/aos/agrovoc/c_6662 http://aims.fao.org/aos/agrovoc/c_2344 Burkina Faso Sénégal Madagascar http://aims.fao.org/aos/agrovoc/c_8081 http://aims.fao.org/aos/agrovoc/c_6970 http://aims.fao.org/aos/agrovoc/c_4510 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. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/599933/1/essd-13-5951-2021.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.5194/essd-13-5951-2021 10.5194/essd-13-5951-2021 info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-13-5951-2021 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.5194/essd-13-5951-2021 info:eu-repo/semantics/reference/purl/https://doi.org/10.18167/DVN1/P7OLAP