Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province,southwestern ChinaOACSTPCD
Historical forest fire risk databases are vital for evaluating the effectiveness of past forest management approaches,enhancing forest fire warnings and emergency response capabilities,and accurately budgeting potential carbo…查看全部>>
Yuwen Peng;Huiyi Su;Min Sun;Mingshi Li
Co-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037,China College of Forestry,Nanjing Forestry University,Nanjing 210037,ChinaCo-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037,China College of Forestry,Nanjing Forestry University,Nanjing 210037,ChinaCo-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037,China College of Forestry,Nanjing Forestry University,Nanjing 210037,ChinaCo-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037,China College of Forestry,Nanjing Forestry University,Nanjing 210037,China
计算机与自动化
Forest fire risk reconstructionMFFDITime series modelsLSTMARIMAProphetAnusplin
《Forest Ecosystems》 2024 (1)
P.87-99,13
the following grants:The National Key R&D Program of China(2019YFA0606600)the Natural Science Foundation of China(31971577)the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)。
评论