The “Storm Cloud” rapid remote damage assessment system.
Initiated in 2020, Eben Broadbent (PI) directs the development and implementation of the Storm Cloud system, which uses cloud-based 'artificial intelligence' analysis of a suite of satellite radar and optical remote sensing, combined with precision Forest Inventory and Analysis (FIA) plot data, to enable rapid continual assessment 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 at numerous sites across the US and globally. Initial funding was through grants from USDA McIntire-Stennis program and with subsequent major funds from the USFS and other sources.
Please contact Eben at "e b e n @ u f l . e d u" with any questions or requests.
Initiated in 2020, Eben Broadbent (PI) directs the development and implementation of the Storm Cloud system, which uses cloud-based 'artificial intelligence' analysis of a suite of satellite radar and optical remote sensing, combined with precision Forest Inventory and Analysis (FIA) plot data, to enable rapid continual assessment 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 at numerous sites across the US and globally. Initial funding was through grants from USDA McIntire-Stennis program and with subsequent major funds from the USFS and other sources.
Please contact Eben at "e b e n @ u f l . e d u" with any questions or requests.