Sampling Survey Method of Regional Soil Erosion Based on Remote Sensing Images

ZHU Mengyang; YANG Qinke; WANG Chunmei; ZHANG Xiaoping; LIU Baoyuan; WEI Xin; PANG Guowei; LI Yuru; TU Xiang

doi:10.13870/j.cnki.stbcxb.2019.05.010

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Sampling Survey Method of Regional Soil Erosion Based on Remote Sensing Images

更新时间：2025-03-12

- Sampling Survey Method of Regional Soil Erosion Based on Remote Sensing Images
- Vol. 33, Issue 5, Pages: 64-71(2019)
- 作者机构：
  
  1. 西北大学城市与环境学院,西安,710127
  2. 中国科学院水利部水土保持研究所, 陕西杨陵,712100
  3. 北京师范大学地理学院,北京,100875
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2019.05.010
  CLC：
- Published：2019
- 稿件说明：
移动端阅览
ZHU Mengyang, YANG Qinke, WANG Chunmei, et al. Sampling Survey Method of Regional Soil Erosion Based on Remote Sensing Images[J]. 2019, 33(5): 64-71.
DOI：

ZHU Mengyang, YANG Qinke, WANG Chunmei, et al. Sampling Survey Method of Regional Soil Erosion Based on Remote Sensing Images[J]. 2019, 33(5): 64-71. DOI： 10.13870/j.cnki.stbcxb.2019.05.010.

摘要

土壤侵蚀是全球性环境问题，土壤侵蚀调查是水土保持规划和生态文明建设的科学基础。为了完善土壤侵蚀抽样调查方法，快速、精准地估算土壤侵蚀实际速率，对基于高分辨率遥感影像进行目视解译，提取高精度土地利用和水土保持措施信息的方法进行了研究。基于现代地理信息科学，充分利用虚拟地球及其提供的公开高分辨率遥感数据资源，考虑土壤侵蚀及其治理的时空特征，采用分层不等概系统空间抽样方法布设抽样单元，通过对公开高分辨率遥感影像的目视解译，完成泛第三极地区土地利用和水保措施的遥感抽样调查。研究实现了2万个抽样调查单元的解译，提取了土地利用和水土保持措施信息；基于CSLE模型完成了典型抽样调查单元的土壤流失速率计算，并对解译结果进行了精度和实用性分析。结果表明：基于公开高分辨率遥感影像、利用分层不等概系统空间抽样方法，可快速提取土地利用和水土保持措施信息，完成区域土壤侵蚀抽样调查。

Abstract

Soil erosion is one of server global environmental problems

soil erosion survey is the scientific basis for soil and water conservation. In order to improve the methods applied in soil erosion sampling survey

and to calculate soil erosion rates accurately and rapidly

the interpretation methods for land use and soil conservation measures were studied based on the high spatial resolution remote sensing images. The sampling design was developed using a stratified variable probability systematic sampling method in which spatiotemporal characteristics of soil erosion and conservation were derived based on the GISci

virtual global tool

and finer resolution images accessible in Google Earth. Land use and soil conservation measures in the sampling units were interpreted from the open access

high-resolution remote sensing images using visual interpretation. More than 20 thousand sampling units were interpreted

then the information on the land use and soil conservation measures was extracted; the soil erosion rate was calculated using CSLE for some of the units

and the accuracy and applicability of the interpretation results were analyzed. The results showed that this sampling survey method could be used for the soil erosion survey in the very large region. The information about land use and soil conservation measures could be interpreted based on open access

fine resolution remote sensing images

and the stratified variable probability systematic sampling method.

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