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2022 •
Large-scale, multi-temporal remote sensing of palaeo-river networks
Authors:
Orengo Romeu, Hèctor A.
Abstract:
JavaScript code to be implemented in Google Earth Engine(c) for large-scale, multi-temporal remote sensing of palaeo-river networks.
This research presents a seasonal multi-temporal approach to the detection of palaeo-rivers over large areas based on long-term vegetation dynamics and spectral decomposition techniques. Twenty-eight years of Landsat 5 data, a total of 1711 multi-spectral images, have been bulk processed using Google Earth Engine© Code Editor and cloud computing infrastructure.
The research presented has been carrie (...)
JavaScript code to be implemented in Google Earth Engine(c) for large-scale, multi-temporal remote sensing of palaeo-river networks.
This research presents a seasonal multi-temporal approach to the detection of palaeo-rivers over large areas based on long-term vegetation dynamics and spectral decomposition techniques. Twenty-eight years of Landsat 5 data, a total of 1711 multi-spectral images, have been bulk processed using Google Earth Engine© Code Editor and cloud computing infrastructure.
The research presented has been carried out as part of the
TwoRains projectt
, which is a multi-disciplinary investigation of climate change and the Indus civilization in northwest India.
(Read More)
External links:
OpenAIRE
Works in BIP! associated with the specified OpenAIRE research product
Missing works (1)
Missing works
10.34810/data240
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