Estimation of Downed Woody Time-Lag Fuel Loadings with Multimodal Remote Sensing Data and Ensemble Machine Learning Regression Model-Reference-Cited by-同舟云学术

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Estimation of Downed Woody Time-Lag Fuel Loadings with Multimodal Remote Sensing Data and Ensemble Machine Learning Regression Model

Published:2024-07-07 Issue: Volume:10 Page:3453-3456
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Shaik R.U.¹,Alipour M.²,Rowell E.³,Balaji B.⁴,Watts A.⁵,Taciroglu E.¹

Affiliation:

1. University of California,Dept. of Civil & Environmental Engineering,Los Angeles,CA,USA

2. University of Illinois,Dept. of Civil & Environmental Engineering,Urbana-Champaign,IL,USA

3. Desert Research Institute,Division of Atmospheric Sciences,NV,USA

4. Amazon,WA,USA

5. United States Forest Service,Pacific Wildland Fire Sciences Laboratory,WA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641641.pdf?arnumber=10641641

Reference14 articles.

1. A Multimodal Data Fusion and Deep Learning Framework for Large-Scale Wildfire Surface Fuel Mapping

2. A Bibliometric Analysis of Artificial Intelligence-Based Solutions to Challenges in Wildfire Fuel Mapping

3. Fire behavior advancement plan; a plan for addressing physical fire processes within the core fire science portfolio;Hardy;JSF Program Report,2008

4. Nitrogen deposition in California forests: A review

5. Chimera: A Multi-Task Recurrent Convolutional Neural Network for Forest Classification and Structural Estimation

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