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REMOTE SENSING & GIS INTEGRATION FOR MONITORING THE AREAS AFFECTED BY FOREST FIRES: A CASE STUDY IN IZMIR, TURKEY
Remote Sensing Forest Fire Burn Indexes Classification Sentinel Landsat, DEM
2018/4/18
A forest fire is stated as an ecological disaster whether it is man-made or caused naturally. İzmir is one of the regions where forest fires are most intensified in Turkey. The study area located...
MONITORING CONCEPTS FOR COASTAL AREAS USING LIDAR DATA
Lidar digital terrain model classification conditional random fields coast
2014/4/24
Coastal areas are characterized by high spatial and temporal variability. In order to detect undesired changes at early stages, enabling rapid countermeasures to mitigate or minimize potential harm or...
USING FULL WAVEFORM DATA IN URBAN AREAS
LiDAR waveform classification Self-Organizing Map (SOM) Bayes classifier urban area
2014/5/8
In this paper, the use of waveform data in urban areas is studied. Full waveform is generally used in non-urban areas, where it can provide better vertical structure description of vegetation compared...