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In recent years, the methods for detecting structural changes in time series have been adapted for forest disturbance monitoring using satellite data. The BFAST (Breaks For Additive Season and Trend) ...
This paper describes the combination of multi-data in stratifying the natural evergreen broadleaved tropical forest of the Central Highlands of Vietnam. The forests were stratified using both unsuperv...
Tropical forest cover is changing in many parts of the World and got attention to the global community since it is one of the main drivers of climate change. Microwave sensor data is useful to monitor...
Estimation and mapping of tropical forest biomass is important for periodic carbon accounting, as tropical deforestation is one of the major sources of terrestrial carbon emission in the recent decad...
Deforestation still nowadays occurs at an alarming rate in tropical regions. Forest monitoring is required to delineate the extents of deforested areas based on high resolution satellite images (SPOT)...
Radar sensors operating with different wavelengths and polarizations have been widely used for large-scale forest mapping and monitoring. The interferometric phase obtained by microwave sensors conta...
ReCover’ was a 3-year EU-FP7 project (Nov. 2010 – Dec. 2013), aiming to develop and improve science based remote sensing services to support tropical forest management and activities to reduce emis...
An automatic method for land cover mapping and for detecting forest change has been designed for high resolution couples of image. The work is done on 20x20 km samples of 30 m resol...

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