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Combined Use of SAR and Optical Time Series Data for Near Real-Time Forest Disturbance Mapping

Abstract:

Tropical forest monitoring from optical data is often hindered by cloud cover, specifically when a near realtime monitoring is requested. SAR data alone is able to capture deforestation patches, but has shortcomings in reliably detecting the specific extend of small-structured logging being considered as forest degradation. Therefore the aim is to develop algorithms to optimize the combination of dense time series by using multitemporal optical and RADAR data in detecting near real time disturbances in forest.