[1]GUO Xiao-qing,ZHENG Fen-li,WAN Pei-yu.Dynamic Monitoring on Forest Resources Based on Multi-period Remote Sensing Image -Taking Zhiluo Forest Farm in Yan’an City as an Example[J].Research of Soil and Water Conservation,2011,18(06):46-50.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
18
Number of periods:
2011 06
Page number:
46-50
Column:
Public date:
2011-12-20
- Title:
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Dynamic Monitoring on Forest Resources Based on Multi-period Remote Sensing Image -Taking Zhiluo Forest Farm in Yan’an City as an Example
- Author(s):
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GUO Xiao-qing1, ZHENG Fen-li1,2, WAN Pei-yu3
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1. College of Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China;
2. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China;
3. Shaanxi Forestry Inventory & Planning Institute, Xi’an 710082, China
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- Keywords:
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remote sensing image; image segmentation; forest resources; dynamic monitor
- CLC:
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S757.2
- DOI:
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- Abstract:
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The dynamic change of the forest resources and the relation with human activities were studied in order to provide evidence for landscape pattern optimization. This research was based on remote sensing image segment to monitor forest resources dynamic change. Landsat TM/ETM+ images of year 1990, 2000 and 2005 were taken as the data sources. Sensitive areas were detected and land use/cover change in 1990, 2000 and 2005 were analyzed by GIS. The results showed that sensitive areas of land use/cover change could be detected by multi-period remote sensing image segment. High accuracy was achieved to monitor the change and changing trend of land-use type with GIS spatial analysis. The method could reduce the work intensity, save the cost and improve work efficiency greatly. Forest area(canopy density above 0.2) has increased by 1.17% between 1990 and 2000 and 14.2% between 2000 and 2005. Other woodland(thin stocked land, afforestation for undeveloped forest, shrub), grassland and farmland decreased by 28.77%, 29.89% and 8.90%, respectively. Affected by the project of conversion of cropland into forestland and grassland and the project of natural forest protection, the type and area of land use/cover of this area have changed significantly, and landscape composition has turned to optimization.