Integrating hydrological parameters in wildfire risk assessment: a machine learning approach for mapping wildfire probability

被引：0
|
作者：
Khodaee, Mahsa [1 ]
Easterday, Kelly [1 ]
Klausmeyer, Kirk [1 ]
机构：
[1] The Nature Conservancy, California Program, Sacramento,CA,9581, United States
来源：
Environmental Research Letters | 2024年 / 19卷 / 11期
关键词：
D O I：
10.1088/1748-9326/ad80ad
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Risk Preferences, Probability Weighting, and Strategy Tradeoffs in Wildfire Management
    Hand, Michael S.
    Wibbenmeyer, Matthew J.
    Calkin, David E.
    Thompson, Matthew P.
    RISK ANALYSIS, 2015, 35 (10) : 1876 - 1891
  • [42] A GIS for wildfire mapping, fire risk assessment and land management in the Gard Department (France)
    Didon, E
    Delaroche, V
    Fages, J
    GEOGRAPHICAL INFORMATION - FROM RESEARCH TO APPLICATION THROUGH COOPERATION, VOLS 1 AND 2, 1996, : 318 - 327
  • [43] Wildfire: Approximate synchronization of parameters in distributed deep learning
    Nair, R.
    Gupta, S.
    IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 2017, 61 (4-5)
  • [44] Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods
    He, Qian
    Jiang, Ziyu
    Wang, Ming
    Liu, Kai
    REMOTE SENSING, 2021, 13 (08)
  • [45] A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
    Daniela Cisneros
    Yan Gong
    Rishikesh Yadav
    Arnab Hazra
    Raphaël Huser
    Extremes, 2023, 26 : 301 - 330
  • [46] A MULTIMODAL SUPERVISED MACHINE LEARNING APPROACH FOR SATELLITE-BASED WILDFIRE IDENTIFICATION IN EUROPE
    Urbanelli, Angelica
    Barco, Luca
    Arnaudo, Edoardo
    Rossi, Claudio
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 608 - 611
  • [47] A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
    Cisneros, Daniela
    Gong, Yan
    Yadav, Rishikesh
    Hazra, Arnab
    Huser, Raphael
    EXTREMES, 2023, 26 (02) : 301 - 330
  • [48] Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability
    Quan, Xingwen
    Jiao, Miao
    He, Zhili
    Jaafari, Abolfazl
    Xie, Qian
    Lai, Xiaoying
    INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2023, 32 (04) : 561 - 575
  • [49] Wildfire univariate and bivariate characteristics simulation based on multiple machine learning models and applicability analysis of wildfire models
    Shi, Ke
    Touge, Yoshiya
    Dou, Yanhong
    PROGRESS IN DISASTER SCIENCE, 2023, 20
  • [50] Application of Wildfire Risk Assessment Results to Wildfire Response Planning in the Southern Sierra Nevada, California, USA
    Thompson, Matthew P.
    Bowden, Phil
    Brough, April
    Scott, Joe H.
    Gilbertson-Day, Julie
    Taylor, Alan
    Anderson, Jennifer
    Haas, Jessica R.
    FORESTS, 2016, 7 (03):
12345