Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning

Author:

Konapala Goutam,Kumar Sujay V.,Khalique Ahmad Shahryar

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference62 articles.

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3. Fusion of Sentinel-1 and Sentinel-2 image time series for permanent and temporary surface water mapping;Bioresita;International Journal of Remote Sensing,2019

4. Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1;Bonafilia,2020

5. Comparative analysis of normalised difference spectral indices derived from MODIS for detecting surface water in flooded rice cropping systems;Boschetti;PloS one,2014

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