Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity

Autores
Fernandez, Pedro David; Gärtner, Phillipp; Nasca, Jose Andres; Rojas, Tobias; Gasparri, Nestor Ignacio
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Cattle ranching has increased globally in the last decades, and although pasture expansion is well documented across different regions, there is little understanding of the intensity at which cattle operate in these areas. With freely available Sentinel-2 satellite imagery, we mapped for the first time polyethylene silage bags used for forage conservation in a year with the Random Forest algorithm, and proposed them as a spatial indicator of cattle intensity. For this, we combined monthly silage area with land cover and climatic variables in a regression framework to understand cattle intensity metrics at regional and farm scales throughout 20 million hectares in the Dry Chaco. In addition, we explored the impact of using maize silage supplementation on productive and environmental metrics at the farm scale in a precipitation gradient. We validated our models using a spatially explicit database of cattle distribution. Our results highlight that silage bags are accurate mappable objects with Sentinel-2, which can contribute to the understanding of cattle density, and heifer and steer density in pasture contexts at farm and regional scales. Finally, our whole-farm simulations support the idea that incorporating silage supplementation in cattle ranching regional analyses conducts to significant differences on environmental or productive estimations, which should be considered. The amount of stored forage that is used in supplementation has strong implications for the performance of cattle ranching, but remains difficult to quantify at the regional level with remote sensing. Silage bag mapping is thus an opportunity to improve the overall understanding of livestock intensification and its productive and environmental impacts, particularly in highly seasonal rangelands. Following this metric could be a valuable indicator of the cattle ranching performance in terms of it resilience, production increase and impacts over natural ecosystems (related to Sustainable Development Goal 2-zero hunger and also in the 15-life on land).
Instituto de Investigación Animal del Chaco Semiárido
Fil: Fernandez, Pedro David. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentina
Fil: Gärtner, Phillipp. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; Argentina
Fil: Nasca, Jose Andres. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentina
Fil: Rojas, Tobias. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; Argentina
Fil: Gasparri, Nestor Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; Argentina
Fuente
Science of the Total Environment 855 : 158390 (10 January 2023)
Materia
Agricultural Plastics
Cattle
Satellite Imagery
Pastures
Plásticos Agrícolas
Ganado Bovino
Imágenes por Satélites
Pastizales
Cattle Ranching Intensification
Machine Learning Object Detection
On Farm-Storage
Strategic Supplementation
Sentinel-2
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/13550
Acceder
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oai_identifier_str oai:localhost:20.500.12123/13550
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spelling Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensityFernandez, Pedro DavidGärtner, PhillippNasca, Jose AndresRojas, TobiasGasparri, Nestor IgnacioAgricultural PlasticsCattleSatellite ImageryPasturesPlásticos AgrícolasGanado BovinoImágenes por SatélitesPastizalesCattle Ranching IntensificationMachine Learning Object DetectionOn Farm-StorageStrategic SupplementationSentinel-2Cattle ranching has increased globally in the last decades, and although pasture expansion is well documented across different regions, there is little understanding of the intensity at which cattle operate in these areas. With freely available Sentinel-2 satellite imagery, we mapped for the first time polyethylene silage bags used for forage conservation in a year with the Random Forest algorithm, and proposed them as a spatial indicator of cattle intensity. For this, we combined monthly silage area with land cover and climatic variables in a regression framework to understand cattle intensity metrics at regional and farm scales throughout 20 million hectares in the Dry Chaco. In addition, we explored the impact of using maize silage supplementation on productive and environmental metrics at the farm scale in a precipitation gradient. We validated our models using a spatially explicit database of cattle distribution. Our results highlight that silage bags are accurate mappable objects with Sentinel-2, which can contribute to the understanding of cattle density, and heifer and steer density in pasture contexts at farm and regional scales. Finally, our whole-farm simulations support the idea that incorporating silage supplementation in cattle ranching regional analyses conducts to significant differences on environmental or productive estimations, which should be considered. The amount of stored forage that is used in supplementation has strong implications for the performance of cattle ranching, but remains difficult to quantify at the regional level with remote sensing. Silage bag mapping is thus an opportunity to improve the overall understanding of livestock intensification and its productive and environmental impacts, particularly in highly seasonal rangelands. Following this metric could be a valuable indicator of the cattle ranching performance in terms of it resilience, production increase and impacts over natural ecosystems (related to Sustainable Development Goal 2-zero hunger and also in the 15-life on land).Instituto de Investigación Animal del Chaco SemiáridoFil: Fernandez, Pedro David. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; ArgentinaFil: Gärtner, Phillipp. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; ArgentinaFil: Nasca, Jose Andres. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; ArgentinaFil: Rojas, Tobias. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; ArgentinaFil: Gasparri, Nestor Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; ArgentinaElsevier2022-12-06T19:18:17Z2022-12-06T19:18:17Z2023-01-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/13550https://www.sciencedirect.com/science/article/abs/pii/S00489697220548940048-96971879-1026 (online)https://doi.org/10.1016/j.scitotenv.2022.158390Science of the Total Environment 855 : 158390 (10 January 2023)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:45:49Zoai:localhost:20.500.12123/13550instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:45:49.561INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity
title Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity
spellingShingle Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity
Fernandez, Pedro David
Agricultural Plastics
Cattle
Satellite Imagery
Pastures
Plásticos Agrícolas
Ganado Bovino
Imágenes por Satélites
Pastizales
Cattle Ranching Intensification
Machine Learning Object Detection
On Farm-Storage
Strategic Supplementation
Sentinel-2
title_short Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity
title_full Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity
title_fullStr Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity
title_full_unstemmed Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity
title_sort Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity
dc.creator.none.fl_str_mv Fernandez, Pedro David
Gärtner, Phillipp
Nasca, Jose Andres
Rojas, Tobias
Gasparri, Nestor Ignacio
author Fernandez, Pedro David
author_facet Fernandez, Pedro David
Gärtner, Phillipp
Nasca, Jose Andres
Rojas, Tobias
Gasparri, Nestor Ignacio
author_role author
author2 Gärtner, Phillipp
Nasca, Jose Andres
Rojas, Tobias
Gasparri, Nestor Ignacio
author2_role author
author
author
author
dc.subject.none.fl_str_mv Agricultural Plastics
Cattle
Satellite Imagery
Pastures
Plásticos Agrícolas
Ganado Bovino
Imágenes por Satélites
Pastizales
Cattle Ranching Intensification
Machine Learning Object Detection
On Farm-Storage
Strategic Supplementation
Sentinel-2
topic Agricultural Plastics
Cattle
Satellite Imagery
Pastures
Plásticos Agrícolas
Ganado Bovino
Imágenes por Satélites
Pastizales
Cattle Ranching Intensification
Machine Learning Object Detection
On Farm-Storage
Strategic Supplementation
Sentinel-2
dc.description.none.fl_txt_mv Cattle ranching has increased globally in the last decades, and although pasture expansion is well documented across different regions, there is little understanding of the intensity at which cattle operate in these areas. With freely available Sentinel-2 satellite imagery, we mapped for the first time polyethylene silage bags used for forage conservation in a year with the Random Forest algorithm, and proposed them as a spatial indicator of cattle intensity. For this, we combined monthly silage area with land cover and climatic variables in a regression framework to understand cattle intensity metrics at regional and farm scales throughout 20 million hectares in the Dry Chaco. In addition, we explored the impact of using maize silage supplementation on productive and environmental metrics at the farm scale in a precipitation gradient. We validated our models using a spatially explicit database of cattle distribution. Our results highlight that silage bags are accurate mappable objects with Sentinel-2, which can contribute to the understanding of cattle density, and heifer and steer density in pasture contexts at farm and regional scales. Finally, our whole-farm simulations support the idea that incorporating silage supplementation in cattle ranching regional analyses conducts to significant differences on environmental or productive estimations, which should be considered. The amount of stored forage that is used in supplementation has strong implications for the performance of cattle ranching, but remains difficult to quantify at the regional level with remote sensing. Silage bag mapping is thus an opportunity to improve the overall understanding of livestock intensification and its productive and environmental impacts, particularly in highly seasonal rangelands. Following this metric could be a valuable indicator of the cattle ranching performance in terms of it resilience, production increase and impacts over natural ecosystems (related to Sustainable Development Goal 2-zero hunger and also in the 15-life on land).
Instituto de Investigación Animal del Chaco Semiárido
Fil: Fernandez, Pedro David. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentina
Fil: Gärtner, Phillipp. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; Argentina
Fil: Nasca, Jose Andres. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentina
Fil: Rojas, Tobias. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; Argentina
Fil: Gasparri, Nestor Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; Argentina
description Cattle ranching has increased globally in the last decades, and although pasture expansion is well documented across different regions, there is little understanding of the intensity at which cattle operate in these areas. With freely available Sentinel-2 satellite imagery, we mapped for the first time polyethylene silage bags used for forage conservation in a year with the Random Forest algorithm, and proposed them as a spatial indicator of cattle intensity. For this, we combined monthly silage area with land cover and climatic variables in a regression framework to understand cattle intensity metrics at regional and farm scales throughout 20 million hectares in the Dry Chaco. In addition, we explored the impact of using maize silage supplementation on productive and environmental metrics at the farm scale in a precipitation gradient. We validated our models using a spatially explicit database of cattle distribution. Our results highlight that silage bags are accurate mappable objects with Sentinel-2, which can contribute to the understanding of cattle density, and heifer and steer density in pasture contexts at farm and regional scales. Finally, our whole-farm simulations support the idea that incorporating silage supplementation in cattle ranching regional analyses conducts to significant differences on environmental or productive estimations, which should be considered. The amount of stored forage that is used in supplementation has strong implications for the performance of cattle ranching, but remains difficult to quantify at the regional level with remote sensing. Silage bag mapping is thus an opportunity to improve the overall understanding of livestock intensification and its productive and environmental impacts, particularly in highly seasonal rangelands. Following this metric could be a valuable indicator of the cattle ranching performance in terms of it resilience, production increase and impacts over natural ecosystems (related to Sustainable Development Goal 2-zero hunger and also in the 15-life on land).
publishDate 2022
dc.date.none.fl_str_mv 2022-12-06T19:18:17Z
2022-12-06T19:18:17Z
2023-01-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/13550
https://www.sciencedirect.com/science/article/abs/pii/S0048969722054894
0048-9697
1879-1026 (online)
https://doi.org/10.1016/j.scitotenv.2022.158390
url http://hdl.handle.net/20.500.12123/13550
https://www.sciencedirect.com/science/article/abs/pii/S0048969722054894
https://doi.org/10.1016/j.scitotenv.2022.158390
identifier_str_mv 0048-9697
1879-1026 (online)
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Science of the Total Environment 855 : 158390 (10 January 2023)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.559606

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