Forest fire risk zone evaluation based on high spatial resolution RS image in Liangyungang Huaguo Mountain Scenic Spot

ICSDM(2011)

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摘要
Forest fire forecast synthesizes the main weather factors, geography, and degree of wet fuel, fuel types and characteristics of fire source to analyze and predict the forest fuel risk. All fire risk factors were divided into two kinds including stable and changeable factors. In this paper, Huaguo Mountain Scenic Spot in Liangyungang is choosed as study region. Stable fire risk factors, including topography and fuel types were used for forest zone evaluation. Using 10cm Aerial images, based on Forestry Resources surveying, this paper obtained the forestry vegetation type location and their characteristics such as tree height, breast-height diameter, leaves height, and canopy density. In the same time, the digital DEM and various geography factors such as elevation, slope, slope aspect, slope position was obtained by GIS. Based on these geography and fuel types characteristics the study region fire risk zone were divided using clustering analysis. Each fire risk zone has relative conformity in the geography and fuel types and its fire risk rating changing with weather and characteristics of fire source were modelled by Fuzzy multi-level synthetic evaluation. By fire risk zone, short time fire (24 hours) and high spatial resolution forecast would be realized, through further study in the similar region.
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关键词
digital dem,wet fuel degree,remote sensing,aerial images,huaguo mountain scenic spot,forestry,geographic information systems,fires,china,forestry vegetation type,liangyungang,canopy density,slope aspect,slope position,changeable forest fire risk factors,forest fire forecast,tree height,environmental science computing,digital elevation models,cluster analysis,fuzzy logic,stable forest fire risk factors,elevation,geography factors,fire risk,forestry resources surveying,risk management,environmental factors,forest fire prediction,fuzzy multilevel synthetic evaluation,high spatial resolution remote sensing image,fire source characteristics,fuel types,breast height diameter,leaves height,forest fire risk zone evaluation,main weather factors,high spatial aerial images,forest fire risk analysis,forest zone evaluation,gis,geographic information system,surfaces,meteorology
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