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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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 |