Quantifying Canopy Tree Loss and Gap Recovery in Tropical Forests under Low-Intensity Logging Using VHR Satellite Imagery and Airborne LiDAR.
Ricardo DalagnolOliver L. PhillipsEmanuel GloorLênio Soares GalvãoFabien Hubert WagnerCharton J. LocksLuiz E. O. C. AragãoPublished in: Remote. Sens. (2019)
Keyphrases
- satellite imagery
- change detection
- remote sensing
- remotely sensed
- urban areas
- aerial images
- lidar data
- land cover
- hyperspectral
- remote sensing images
- high resolution
- satellite images
- sea ice
- electro optical
- multispectral
- tropical cyclone
- main memory databases
- remotely sensed images
- road extraction
- tree structure
- urban environments
- point cloud
- image analysis
- infrared
- index structure
- data streams
- b tree
- image processing
- hyperspectral images
- data sets
- r tree
- unsupervised learning
- image registration
- pattern recognition
- learning algorithm