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SUB-PIXEL AND MAXIMUM LIKELIHOOD CLASSIFICATION OF LANDSAT ETM+ IMAGES FOR DETECTING ILLEGAL LOGGING AND MAPPING TROPICAL RAIN FOREST COVER TYPES IN BERAU, EAST KALIMANTAN, INDONESIA
Su-pixel Maximum Likelihood Forest Detection
2015/7/30
The tropical forest is depleting at a fast rate due to deforestation and degradation. Illegal logging was reported to be the cause of 50%
of the deforestation. Illegal logging is a very pressing iss...
Climate Change for Agriculture, Forest Cover and 3d Urban Models
Landsat TRIS/8/LDCM Forest Change Decision support NDVI Eclipse 3D Urban Models
2014/12/15
This research demonstrates the important role of the remote sensing in finding out the different parameters behind the agricultural crop change, forest cover and urban 3D models. Standalone software i...
Lidar Processing for Defining Sinkhole Characteristics under Dense Forest Cover: A Case Study in the Dinaric Mountains
Sinkholes Dolines Geomorphology Forestry Dense canopy cover Lidar
2014/9/29
The traditional approach for defining sinkholes characteristics is based on topographic maps and air photographs with derived digital terrain models. This method is sometimes not accurate, requiring c...
CONGO BASIN FOREST COVER CHANGE ESTIMATE FOR 1990, 2000 AND 2005 BY LANDSAT INTERPRETATION USING AN AUTOMATED OBJECT-BASED PROCESSING CHAIN
Congo Basin forest cover REDD land cover land cover change object-based validation high spatial resolution
2014/6/12
Central Africa contains the second largest area of contiguous moist tropical forest of the world. In the framework of the Observatory of Forests in Central Africa (OFAC) and the Forest Resources Ass...