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
School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China
Interests: remote sensing of vegetation; global change ecology; vegetation-environment interactions
Interests: remote sensing of vegetation; global change ecology; vegetation-environment interactions
Department of Information Engineering-DII, Marche Polytechnic University, Ancona I-60131, Italy
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: 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
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
Interests: image processing; remote sensing; machine learning; computer vision
Interests: image processing; remote sensing; machine learning; computer vision
Arkansas Forest Resources Center, University of Arkansas Agricultural Experiment Station, University of Arkansas, Monticello, AR 71655, USA
Interests: soil science; pedology; land evaluation; remote sensing; geographic information system; land cover land use classification
Interests: soil science; pedology; land evaluation; remote sensing; geographic information system; land cover land use classification
