Integrating earth observation and machine learning for forest fire risk assessment in Rasuwa district, Nepal
整合地球观测与随机森林模型评估尼泊尔Rasuwa地区森林火灾风险。
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#森林防火
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·10月12日 · 周一71 分 论文智慧农业 / 农业物联网阅读 1
Development of an Explainable GeoAI Wildfire Risk Analysis Model Using Multi-Source Geospatial Data
构建可解释GeoAI框架，融合多源地理数据评估土耳其野火风险并制图。
Evaluation of risk scenarios in Ecuador using Visible Infrared Imaging Radiometer Suite remote sensing, ERA5-Land climate data, and XGBoost
结合VIIRS热异常、ERA5-Land气象数据与XGBoost，构建厄瓜多尔5公里分辨率森林火灾风
GIS, Remote Sensing and Machine Learning Applications for Forest Fire Mapping, Susceptibility Assessment and Risk Analysis: A Systematic Review
GIS, Remote Sensing and Machine Learning Applications for Forest Fire Mapping, Susceptibility Assessment and Risk Analysis: A Systematic Review。Research Square
Fixed-ground multisensor monitoring resolves longitudinal vegetation condition and fuel-state structure in Southern California chaparral and oak scenes
固定地面多传感器长期监测南加州灌丛与橡树林，揭示植被与可燃物状态变化。
Multi-scale drivers of wildfire burn severity in Central Zagros: insights from remote sensing and machine learning
结合遥感与机器学习，量化伊朗扎格罗斯中部野火烧毁严重度的多尺度驱动因素。