区域土壤侵蚀遥感抽样调查方法

朱梦阳; 杨勤科; 王春梅; 张晓萍; 刘宝元; 魏欣; 庞国伟; 李玉茹; 土祥

doi:10.13870/j.cnki.stbcxb.2019.05.010

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区域土壤侵蚀遥感抽样调查方法

更新时间：2025-03-12

- 区域土壤侵蚀遥感抽样调查方法
- Sampling Survey Method of Regional Soil Erosion Based on Remote Sensing Images
- 水土保持学报 2019年33卷第5期页码：64-71
- 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：
  
  [ "朱梦阳(1995-),女,在读硕士研究生,主要从事区域土壤侵蚀调查与定量评价研究。E-mail:myangyang@stumail.nwu.edu.cn" ]
- 基金信息：
  
  中国科学院战略性先导科技专项（XDA20040202）
- DOI：10.13870/j.cnki.stbcxb.2019.05.010
  中图分类号：
- 纸质出版：2019
- 稿件说明：
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朱梦阳, 杨勤科, 王春梅, 等. 区域土壤侵蚀遥感抽样调查方法[J]. 水土保持学报, 2019,33(5):64-71.

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.
朱梦阳, 杨勤科, 王春梅, 等. 区域土壤侵蚀遥感抽样调查方法[J]. 水土保持学报, 2019,33(5):64-71. DOI： 10.13870/j.cnki.stbcxb.2019.05.010.

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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references

姚檀栋,陈发虎,崔鹏,等.从青藏高原到第三极和泛第三极[J].中国科学院院刊,2017,32(9):924-931.

林慧龙,郑舒婷,王雪璐.基于RUSLE模型的三江源高寒草地土壤侵蚀评价[J].草业学报,2017,26(7):11-22.

马波,张加琼,税军锋,等.西藏中东部地区土壤侵蚀野外调查报告[J].水土保持通报,2018,38(5):1-8,361.

Teng H F, Liang Z Z, Chen S C, et al. Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models[J]. Science of the Total Environment,2018,635:673-686.

Pimentel D, Burgess M. Soil erosion threatens food production[J]. Agriculture,2013,3(3):443-463.

杨勤科.区域水土流失监测与评价[M].郑州:黄河水利出版社,2015.

冷疏影,冯仁国,李锐,等.土壤侵蚀与水土保持科学重点研究领域与问题[J].水土保持学报,2004,18(1):1-6.

朱显谟,陈代中,杨勤科.1:1500万中国土壤侵蚀图//《中华人民共和国自然地图集》编辑委员会.中华人民共和国自然地图集.2版.北京:中国地图出版社,1999:200.

Lu H, Yu B F. Spatial and seasonal distribution of rainfall erosivity in Australia[J]. Soil Research,2002,40(6):887-901.

Panagos P, Borrelli P, Meusburger K. A new European slope length and steepness factor (

-Factor) for modeling soil erosion by water[J]. Geosciences,2015,5(2):117-126.

Yang D W, Kanae S, Oki T, et al. Global potential soil erosion with reference to land use and climate changes[J]. Hydrological Processes,2003,17(14):2913-2928.

Borrelli P, Robinson D A, Fleischer L R, et al. An assessment of the global impact of 21st century land use change on soil erosion[J]. Nature Communications,2017,8(1):2013-2025.

Nusser S M, Breidt F J, Fuller W A. Design and estimation for investigating the dynamics of natural resources[J]. Ecological Applications,1998,8(2):234-245.

USDA-NRCS.2015 National Resources Inventory:Natural Resources Conservation Service[R]. Washingt-on, DC:USDA, 2018.

谢云,赵莹,张玉平,等.美国土壤侵蚀调查的历史与现状[J].中国水土保持,2013,34(10):53-60.

刘宝元,郭索彦,李智广,等.中国水力侵蚀抽样调查[J].中国水土保持,2013,34(10):26-34.

Yin S Q, Zhu Z Y, Wang L, et al. Regional soil erosion assessment based on a sample survey and geostatistics[J]. Hydrology and Earth System Sciences,2018,22(3):1695-1712.

Elwood S, Goodchild M F, Sui D Z. Researching volunteered geographic information:Spatial data,geogra-phic research,and new social practice[J]. Annals of the Association of American Geographers,2012,102(3):571-590.

Yu L, Gong P. Google Earth as a virtual globe tool for Earth science applications at the global scale:Progress and perspectives[J]. International Journal of Remote Sensing,2012,33(12):3966-3986.

Ban Y F, Gong P, Giri C. Global land cover mapping using Earth observation satellite data:Recent progresses and challenges[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2015,103(1):1-6.

地质出版社地图编辑室.世界地理地图集[M].北京:地质出版社,2011.

国务院第一次全国水利普查领导小组办公室.第一次全国水利普查培训教材之六水土保持情况普查[M].北京:中国水利水电出版社,2010.

梅安新,彭望琭,秦其明,等.遥感导论[M].北京:高等教育出版社,2001:144-148.

水利部水土保持监测中心.水土流失普查技术规定[R].北京:水利部,2017.

牛亮,杨勤科.DEM尺度变换中直方图相似度计算与应用[J].水土保持研究,2010,17(3):120-125.

张加琼,马波,税军峰,等.泰国北部山区土壤侵蚀调查报告[J].水土保持通报,2019,39(1):1-8.

李骜,魏欣,李子轩.土壤侵蚀动态监测中的高分辨率影像土地利用解译精度分析[J].中国水土保持科学,2018,16(3):8-17.

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