Topical Advisory Panel for section 'Forest Inventory, Modeling and Remote Sensing'
- Forest Ecology and Management Section
- Forest Ecophysiology and Biology Section
- Forest Economics, Policy, and Social Science Section
- Forest Inventory, Modeling and Remote Sensing Section
- Wood Science and Forest Products Section
- Genetics and Molecular Biology Section
- Urban Forestry Section
- Forest Biodiversity Section
- Forest Hydrology Section
- Forest Soil Section
Please see the section webpage for more information on this section.
Members
State Key Laboratory of Remote Sensing Sciences, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Interests: land-use modeling; climate change; deforestation and soil moisture; crop yield; biomass and carbon emission; remote sensing & GIS applications in earth system studies; top-down downscaling to enhance the spatial resolution of gridded datasets; improve understanding of agroecosystem-environment interaction; land-atmosphere interaction studies; climate system modeling
Interests: land-use modeling; climate change; deforestation and soil moisture; crop yield; biomass and carbon emission; remote sensing & GIS applications in earth system studies; top-down downscaling to enhance the spatial resolution of gridded datasets; improve understanding of agroecosystem-environment interaction; land-atmosphere interaction studies; climate system modeling
Department of Forest Engineering, Resources & Management, College of Forestry, Oregon State University, Corvallis, OR 97331-5704, USA
Interests: precision forestry; robotics; sensor application; advanced forestry; AI; machine vision; forest operation; harvesting
Special Issues, Collections and Topics in MDPI journals
Interests: precision forestry; robotics; sensor application; advanced forestry; AI; machine vision; forest operation; harvesting
Special Issues, Collections and Topics in MDPI journals
