Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China
应用GIS及RS进行白河林业局森林火险区划
查看参考文献32篇
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文摘
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A forest fire can be a real ecological disaster regardless of whether it is caused by natural forces or human activities, it is possible to map forest fire risk zones to minimize the frequency of fires, avert damage, etc. A method integrating remote sensing and GIS was developed and applied to forest fire risk zone mapping for Baihe forestry bureau in this paper. Satellite images were interpreted and classified to generate vegetation type layer and land use layers (roads, settlements and farmlands). Topographic layers (slope, aspect and altitude) were derived from DEM. The thematic and topographic information was analyzed by using ARC/INFO GIS software. Forest fire risk zones were delineated by assigning subjective weights to the classes of all the layers (vegetation type, slope, aspect, altitude and distance from roads, farmlands and settlements) according to their sensitivity to fire or their fire-inducing capability. Five categories of forest fire risk ranging from very high to very low were derived automatically. The mapping result of the study area was found to be in strong agreement with actual fire-affected sites. |
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其他语种文摘
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利用综合遥感以及地理信系统技术以长白山区的白河林业局为例对森林火险区划作了研究.白河林业局2000年9月份的Landsat TM影像被用来提取有关植被、道路、农田、居民地信息图层,这些图层被转化为矢量文件并与白河林业局数字林相图叠加,并使用空间属性进行联结,以得到每个小班的植被类型、小班与道路、农田、居民地之间的距离.按照一定标准在ARCGIS软件中进行划分等级,得到白河林业局植被类型火险等级图、小班距离道路、农田、居民地远近火险等级图以及每个小班的植被类型火险等级、小班距离道路、农田、居民地远近火险等级.白河林业局数字高程模型(DEM)被用来提取有关地形信息(坡度、坡向、海拔高度)图层,这些图层按照一定标准进行划分,得到白河林业局基于坡度、坡向、海拔高度火险等级图层.这些图层同样被转化为矢量文件与数字林相图叠加以得到每个小班的坡度、坡向、海拔高度火险等级.最后综合这些图层,赋予每个因子权重,计算每个小班的森林火险等级值,并利用ARCGIS软件中的自然断点分类功能进行划分等级,得到白河林业局的森林火险区划图.利用白河林业局1998-2001年的林火数据进行验证,可以看出在这段时间内发生的林火基本都落在火险等级较高的5、4、3火险区内.由此说明这种森林火险区划方法效果较好.图9表2参32 |
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来源
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Journal of Forestry Research
,2005,16(3):169-174 【核心库】
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DOI
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10.1007/bf02856809
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关键词
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Forest fire risk
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GIS
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Remote sensing
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Baihe forestry bureau
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地址
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1.
Institute of Applied Ecology, Chinese Academy of Sciences, 辽宁, Shenyang, 110016
2.
Department of Management, Shenyang Institute of Aeronautical Engineering, 辽宁, Shenyang, 110034
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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1007-662X |
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学科
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林业 |
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基金
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国家自然科学基金
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国家科技攻关计划项目
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文献收藏号
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CSCD:2020806
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参考文献 共
32
共2页
|
|
1.
Albini F A. Estimating wildfire behavior and effects [R].
USDA Forest Service General Technical Report INT-30,1976:23
|
被引
1
次
|
|
|
|
|
2.
Atkinson P M. an introduction [J].
Computers &Geosciences,2000,26:361-371
|
被引
34
次
|
|
|
|
|
3.
Botton S. 'GPS.
GPS, location and navigation.,1997
|
被引
1
次
|
|
|
|
|
4.
Castro R. Modeling forest fire danger from Geographical Information Systems [J].
Geocarto International,1998,13:15-24
|
被引
3
次
|
|
|
|
|
5.
Chou Y H. Management of wildfires with a geographical information system [J].
International Journal of Geographical Information Systems,1992,6:123-140
|
被引
1
次
|
|
|
|
|
6.
Chuvieco E. Application of remote sensing and geographic information systems to forest fire hazard mapping [J].
Remote Sensing of the Environment,1989,29:147-159
|
被引
18
次
|
|
|
|
|
7.
Chuvieco E. Mapping the spatial distribution of forest fire danger using GIS [J].
International Journal of Geographical Information Systems,1996,10:333-345
|
被引
10
次
|
|
|
|
|
8.
George L W. Owens.
Journal of Applied Ecology,1999,36(4):502-518
|
被引
2
次
|
|
|
|
|
9.
Goodrick S. Florida's fire management information system [C].
In Proceedings from the Joint Fire Science Conference and Workshop,1999,1:3-11
|
被引
1
次
|
|
|
|
|
10.
Zhang Gui. Study of Guangzhou's forest fire hazardous areas based on RS and GIS [J].
Journal of Central South Forestry University (in Chinese),2003,23(4):62-65
|
被引
2
次
|
|
|
|
|
11.
Hansen M. an alternative to traditional land cover classifiers [J].
International Journal of Remote Sensing,1996,17(5):1075-1081
|
被引
37
次
|
|
|
|
|
12.
Hu Zhidong. Forest Fire Prevention (the 1st edition) [M].
Forest Fire Prevention(in Chinese),2003
|
被引
1
次
|
|
|
|
|
13.
Ilmavirta A. The use of GIS-system in catastrophe and emergency management in Finnish municipalities [J].
Computers, Environment and Urban Systems,1995,19:171-178
|
被引
1
次
|
|
|
|
|
14.
Jaiswal R K. Forest fire risk zone mapping from satellite imagery and GIS [J].
International Journal of Applied Earth Observation and Geoinformation,2002,4:1-10
|
被引
29
次
|
|
|
|
|
15.
Keane R E. Development of the Input Data Layers for the FARSITE Fire Growth Model for the Selway-Bitterroot Wilderness Complex.
Development of the Input Data Layers for the FARSITE Fire Growth Model for the Selway-Bitterroot Wilderness Complex, USA, Technical Report RMRS-GTR-3,1998
|
被引
1
次
|
|
|
|
|
16.
Keane R E. Mapping vegetation and fuels for fire management on the Gila National Forest Complex.
Mapping vegetation and fuels for fire management on the Gila National Forest Complex, New Mexico, USDA Forest Service General Technical Report RMRS-GTR-46-CD,2000
|
被引
1
次
|
|
|
|
|
17.
Keramitsoglou I. A multidisciplinary decision support system for forest fire crisis management [J].
Environmental Management,2004,33(2):212-225
|
被引
3
次
|
|
|
|
|
18.
Lymberopoulos N. A GIS-based forest fire management information system [J].
EARSeL Advances in Remote Sensing,1996,4(4):68-75
|
被引
1
次
|
|
|
|
|
19.
Mariel A. Example of "Les Maures" forest.
EARSeL Advances in Remote Sensing,1996,4(4):49-56
|
被引
1
次
|
|
|
|
|
20.
Pew K L. GIS analysis of spatial and temporal patterns of human-caused wildfires in the temperate rain forest of Vancouver Island.
Forest Ecology and Management,2001,140:1-18
|
被引
12
次
|
|
|
|
|
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