Storm Cloud (c)
Rapid assessment of forest disturbances using remote sensing.
Initiated in 2020, the Storm Cloud system is a project of the Spatial Ecology and Conservation (SPEC) Lab at the University of Florida (www.speclab.org) and is developed, coded, and maintained by (PI) Eben Broadbent. Objectives include the integration of cloud-based 'artificial intelligence' analyses of satellite radar, lidar, and optical remote sensing sensors, and Forest Inventory and Analysis (FIA) plot data, to enable rapid, online, and user accessible, assessments of ecological damage from hurricanes and other natural disturbances. While a key focal area is the Southeast United States, capabilities are being developed for application across the US.
Please email [email protected] with any questions, requests, or issues. Funding support gratefully acknowledged from the USDA McIntire-Stennis, UF IFAS, FIA USFS, FAMU CSER, and the SPEC Lab. Special thanks to Angelica Almeyda Zambrano, Gabriel Prata, Todd Schroeder, Jason Drake, and Paul Medley
Access to the beta release is provided at this link
Rapid assessment of forest disturbances using remote sensing.
Initiated in 2020, the Storm Cloud system is a project of the Spatial Ecology and Conservation (SPEC) Lab at the University of Florida (www.speclab.org) and is developed, coded, and maintained by (PI) Eben Broadbent. Objectives include the integration of cloud-based 'artificial intelligence' analyses of satellite radar, lidar, and optical remote sensing sensors, and Forest Inventory and Analysis (FIA) plot data, to enable rapid, online, and user accessible, assessments of ecological damage from hurricanes and other natural disturbances. While a key focal area is the Southeast United States, capabilities are being developed for application across the US.
Please email [email protected] with any questions, requests, or issues. Funding support gratefully acknowledged from the USDA McIntire-Stennis, UF IFAS, FIA USFS, FAMU CSER, and the SPEC Lab. Special thanks to Angelica Almeyda Zambrano, Gabriel Prata, Todd Schroeder, Jason Drake, and Paul Medley
Access to the beta release is provided at this link
