Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data

This paper presents algorithm for flood inundation mapping to understand seasonal and annual changes in the flood extent and in the context of emergency response. Time-series profiles of Land Surface Water Index (LSWI), Enhanced Vegetation Index (EVI), Normalized Difference Vegetation Index (NDVI) a...

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Detalles Bibliográficos
Autores principales:	Amarnath, Giriraj, Ameer, Mohamed, Aggarwal, Pramod K., Smakhtin, Vladimir U.
Formato:	Conference Paper
Lenguaje:	Inglés
Publicado:	International Society for Optical Engineering 2012
Materias:	gis remote sensing flooding mapping satellite surveys indicators statistical methods time series analysis
Acceso en línea:	https://hdl.handle.net/10568/38369

Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data. por Amarnath, Giriraj, Ameer, Mohamed, Aggarwal, Pramod K., Smakhtin, Vladimir U.

Publicado 2012

Enlace del recurso

Conference Paper

Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data por Amarnath, Giriraj, Ameer, Mohamed, Aggarwal, Pramod K., Smakhtin, Vladimir U.

Publicado 2012

Enlace del recurso

Conference Proceedings

Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data

Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data. por Amarnath, Giriraj, Ameer, Mohamed, Aggarwal, Pramod K., Smakhtin, Vladimir U.

Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data por Amarnath, Giriraj, Ameer, Mohamed, Aggarwal, Pramod K., Smakhtin, Vladimir U.

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