Agricultural burned area detection using an integrated approach utilizing multi spectral instrument based fire and vegetation indices from Sentinel-2 satellite

This study presents a methodology that focuses on detecting agricultural burned areas using Sentinel-2 multispectral data at 10 m. We developed a simple, locally adapted, straightforward approach of multi-index threshold to extract post-winter agricultural burned areas at high resolution for 2019-21...

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Detalles Bibliográficos
Autores principales: Deshpande, Monish Vijay, Pillai, Dhanyalekshmi, Jain, Meha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9190003/
https://www.ncbi.nlm.nih.gov/pubmed/35707636
http://dx.doi.org/10.1016/j.mex.2022.101741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9190003/
https://www.ncbi.nlm.nih.gov/pubmed/35707636
http://dx.doi.org/10.1016/j.mex.2022.101741

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