Methods of Differentiating Soil Erosion Intensity Between Vector and Raster Spatial Data Structure
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Methods of Differentiating Soil Erosion Intensity Between Vector and Raster Spatial Data Structure
Bulletin of Soiland Water ConservationVol. 21, Issue 1, Pages: 34-38(2002)
作者机构:
1. 西北农林科技大学, 陕西 杨凌,712100
2. 水利部水土保持监测中心,北京,100053
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Published:2002
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SHI Xin ling, LI Zhi guang. Methods of Differentiating Soil Erosion Intensity Between Vector and Raster Spatial Data Structure[J]. Bulletin of Soiland Water Conservation, 2002, 21(1): 34-38.
DOI:
SHI Xin ling, LI Zhi guang. Methods of Differentiating Soil Erosion Intensity Between Vector and Raster Spatial Data Structure[J]. Bulletin of Soiland Water Conservation, 2002, 21(1): 34-38.DOI:
Methods of Differentiating Soil Erosion Intensity Between Vector and Raster Spatial Data Structure
在利用RS & GIS(Remote Sensing and Geographic Information System,遥感和地理信息系统)技术,进行区域土壤侵蚀调查和编制土壤侵蚀图时,可以采用矢量和栅格两种数据结构。分析了基于矢量和栅格两种数据结构进行侵蚀强度判别时的有关技术和方法,包括侵蚀图斑的确定、侵蚀因子值的提取以及侵蚀强度判别的方法等,并举例分析了两种方法在反映区域土壤侵蚀强度分布上的差异。结果认为这两种方法均可应用于土壤侵蚀强度判别,但基于栅格数据结构的判别方法能够更精细地反映土壤侵蚀在微域上的差异,而基于矢量数据结构的判别方法更能够反映不同强度等级侵蚀的总体分布。从动态监测和趋势预测角度分析,采用栅格数据结构的判别方法更方便、更有利于快速提取侵蚀因子和进行土壤侵蚀动态分析和预报。
Abstract
The both special data structures
vector and raster
are used in surveying the regional soil erosion survey and mapping soil erosion intensity atlas based on the RS GIS (Remote Sensing and Geographic Information System). The methods and techniques were discussed
including how carve up polygons
how to capture the values of factors of impressing soil erosion
and how to differentiate erosion intensity. According to the analysis results based on the two special data structures
the two methods can both be used to estimate the soil erosion intensity
but each method has its respective characteristic. The method based on raster can reflect more of the erosion differentiation between the micro regions
meanwhile the method based on vector can do more of the distribution of various erosion intensity grade. From the dynamic monitoring and trend forecasting
it is convenient and more rapid for raster to capture the value of erosion factors
to analyze dynamic pattern and to predict the development.