Humid tropical forest monitoring with multi-temporal L-, C- and X-band SAR data (original) (raw)

2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)

AI-generated Abstract

The project focuses on developing a processing line for monitoring humid tropical forests using multi-temporal and multi-sensor Synthetic Aperture Radar (SAR) data, specifically L, C, and X bands. The approach combines forest change detection results from various sensors and time frames to enhance accuracy in detecting deforestation and disturbances. A validation of the derived forest change maps against GLAD Forest Alert data revealed high detection rates, suggesting the effectiveness of incorporating SAR data in real-time forest disturbance monitoring.

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Humid tropical forest monitoring with multi-temporal L-, C- and X-band SAR data (original) (raw)

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