Reviewer Board
Members of the reviewer board are selected from all Remote Sensing reviewers for regularly providing timely high quality reports on submitted manuscripts. Responsibilities of reviewers are available here.
Members
2. Colorado School of Mines, 1500 Illinois St, Golden, CO 80401, USA
Interests: remote sensing; high performance computing; hyperspectral imaging; image processing; geoinformatics; pattern recognition and artificial intelligence
Interests: thermal infrared remote sensing; UAV remote sensing; urban remote sensing; land surface temperature; hydrological process; climate change.
Interests: atmospheric physics and environment; remote sensing
Interests: shadow detection; 3D City Model; change detection; dense image matching; machine learning; deep learning; LiDAR; vhr images
Interests: remote sensing; land cover mapping; machine learning; time series analysis
Interests: hyper point cloud (HPC); HPC-based intensity surface; percentile height; gridding; full waveform lidar; Tree Segmentation; vegetation structure
Interests: bio-optical properties; ocean color remote sensing; phytoplankton size structure; primary production; phytoplankton carbon
Interests: remote sensing; deep learning; GIS; geo-semantic
Interests: image processing; remote sensing; global climate change; Earth Energy Budget
Interests: atmospheric chemistry; trace gases; remote sensing; modeling
Interests: Urban Complex Systems; urban heat islands; 3D solar city; spatiotemporal data modeling; spatial database
Interests: soil moisture; evapotranspiration; river; lake; hydrology; remote sensing
Interests: remote sensing of vegetation; global change ecology; vegetation-environment interactions
Interests: artificial intelligence techniques in remote sensing; deep learning; machine learning; computer vision; 3D modeling; UAV and satellite remote sensing; LiDAR; GIS; land use/land cover mapping; land use/land cover changes; precision agriculture
Interests: image processing; remote sensing; machine learning; computer vision
Interests: soil science; pedology; land evaluation; remote sensing; geographic information system; land cover land use classification