Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity
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 t...
| Autores principales: | , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | 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 |
| _version_ | 1855485192289910784 |
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| author | Fernandez, Pedro David Gärtner, Phillipp Nasca, Jose Andres Rojas, Tobias Gasparri, Nestor Ignacio |
| author_browse | Fernandez, Pedro David Gasparri, Nestor Ignacio Gärtner, Phillipp Nasca, Jose Andres Rojas, Tobias |
| author_facet | Fernandez, Pedro David Gärtner, Phillipp Nasca, Jose Andres Rojas, Tobias Gasparri, Nestor Ignacio |
| author_sort | Fernandez, Pedro David |
| collection | INTA Digital |
| 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). |
| format | Artículo |
| id | INTA13550 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA135502022-12-06T19:29:55Z Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity Fernandez, Pedro David Gärtner, Phillipp Nasca, Jose Andres Rojas, Tobias Gasparri, Nestor Ignacio 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 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 2022-12-06T19:18:17Z 2022-12-06T19:18:17Z 2023-01-10 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Science of the Total Environment 855 : 158390 (10 January 2023) |
| spellingShingle | 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 Fernandez, Pedro David Gärtner, Phillipp Nasca, Jose Andres Rojas, Tobias Gasparri, Nestor Ignacio 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 |
| 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_short | 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 |
| 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 |
| 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 |
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