METHOD FOR INTELLIGENT PREDICTION OF PROBABILITY OF OCCURRENCE OF NATURAL FIRES
2023-12-20
专利权人SKOLTECH SKOLKOVO INST SCI & TECHNOLOGY (SKOL-Non-standard)
申请日期2023-12-20
专利号RU2832688-C1
成果简介NOVELTY - Invention relates to means of intelligent prediction of probability of occurrence of natural fires. A set of geospatial data is obtained, containing meteorological measurements for 7 days before the probability of occurrence of natural fires, Earth cover data (type of vegetation cover, vegetation indices of vegetation cover, fraction of absorbed photosynthetic active radiation), spatial data (height above sea level, direction of slope, incline, population density and distance from roads). Obtained data set is processed with the help of convolutional neural network (CNN), trained on archive data sets, containing all of the above groups of features, as well as reference marking with coordinates of the actually recorded occurrence of natural fires. Based on this CNN processing, a regular spatial grid is constructed for a given area of prediction of the probability of occurrence of new natural fires. Then the probability of occurrence of natural fires is predicted for each of the next five days on the given regular grid, as a result of which 5 maps are obtained. USE - Information technology. ADVANTAGE - High efficiency of forecasting probability of occurrence of natural fires for five days of forecasting. 9 cl, 3 dwg
IPC 分类号A62C-003/02 ; G06N-003/02
国家俄罗斯
专业领域信息技术
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/18826
专题中国科学院新疆生态与地理研究所
作者单位
SKOLTECH SKOLKOVO INST SCI & TECHNOLOGY (SKOL-Non-standard)
推荐引用方式
GB/T 7714
SHADRIN D G,ILLARIONOVA S V,GUBANOV F D,et al. METHOD FOR INTELLIGENT PREDICTION OF PROBABILITY OF OCCURRENCE OF NATURAL FIRES. RU2832688-C1[P]. 2023.
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