Quantitative analysis on soil erosion based on 3S technology

被引:0
作者
Jing, HT [1 ]
Xie, HQ
Fu, MC
Feng, ZK
机构
[1] Xuzhou Normal Univ, Xuzhou 221009, Peoples R China
[2] China Univ Min & Technol, Beijing 100083, Peoples R China
[3] Hebei Polytech Univ, Tangshan 063009, Peoples R China
[4] Beijing Forestry Univ, Beijing 100083, Peoples R China
来源
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA | 2005年 / 15卷
关键词
soil erosion; USLE; GPS; GIS; RS;
D O I
暂无
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
The quantitative analysis on soil erosion is very significant for macro-decision of soil loss, for quick control of natural disasters and for system of periodical report. Based on the research of 3S(GPS, GIS and RS), the special information can be obtained by GPS or RS. Digital elevation model can be formed by GIS software, and at the same time, we can get some vector graph, such as landuse, vegetation type and soil type. Then the soil erosion of research area was calculated by USLE. The methods and techniques were discussed, including how to carve up polygons, how to capture the values of factors and how to differentiate the erosion intensity.
引用
收藏
页码:74 / 77
页数:4
相关论文
共 50 条
  • [31] Quantitative Determination of Soil Erosion and Prioritization of Micro-Watersheds Using Remote Sensing and GIS
    Vipul Shinde
    Arabinda Sharma
    Kamlesh N. Tiwari
    Manjushree Singh
    Journal of the Indian Society of Remote Sensing, 2011, 39 : 181 - 192
  • [32] Quantitative analysis of soil erosion factors in sloping farmland in black soil area of Northeast China
    He Q.
    Li B.
    Zhang F.
    Yang M.
    Dili Xuebao/Acta Geographica Sinica, 2021, 76 (05): : 1218 - 1230
  • [33] SUSLE: a slope and seasonal rainfall-based RUSLE model for regional quantitative prediction of soil erosion
    Huang, Faming
    Chen, Jiawu
    Yao, Chi
    Chang, Zhilu
    Jiang, Qinghui
    Li, Shu
    Guo, Zizheng
    BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2020, 79 (10) : 5213 - 5228
  • [34] Spatial Decision Analysis on Soil Erosion Control Measures Research Based on GIS
    Sui, Xueyan
    Lin, Chen
    Zhou, Shenglu
    PROCEEDINGS OF THE 2012 THIRD WORLD CONGRESS ON SOFTWARE ENGINEERING (WCSE 2012), 2012, : 119 - 122
  • [35] Global analysis of support practices in USLE-based soil erosion modeling
    Xiong, Muqi
    Sun, Ranhao
    Chen, Liding
    PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT, 2019, 43 (03): : 391 - 409
  • [36] THE APPLICATION OF 3S TECHNOLOGIES IN MODERN LOGISTICS INFORMATION SYSTEM
    Yuan, Zai-Jian
    Chu, Ying-Min
    Shen, Yan-Jun
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6, 2009, : 2719 - +
  • [37] Quantitative and Qualitative Assessment of Soil Erosion Risk in Maopolska (Poland), Supported by an Object-Based Analysis of High-Resolution Satellite Images
    Drzewiecki, Wojciech
    Wezyk, Piotr
    Pierzchalski, Marcin
    Szafranska, Beata
    PURE AND APPLIED GEOPHYSICS, 2014, 171 (06) : 867 - 895
  • [38] A Specified Quantitative Model for Predicting Soil Erosion Process - A Case Study
    Peng, Wenfu
    Zhou, Jieming
    Yang, Cun-jian
    He, Zhengwei
    ITESS: 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES, PT 1, 2008, : 110 - 115
  • [39] A Hot-Spot Analysis of Forest Roads Based on Soil Erosion and Sediment Production
    Yousefi, Saleh
    Emami, Sayed Naeim
    Nekoeimehr, Mohammad
    Rahmati, Omid
    Imaizumi, Fumitoshi
    Gomez, Christopher
    Valjarevic, Aleksandar
    LAND, 2024, 13 (10)
  • [40] Spatial analysis and assessment of soil erosion in the southern Western Ghats region in India
    Anand, B.
    Remitha, K. R.
    Rekha, R. Shanmathi
    Devi, M. Midhuna
    Ramaswamy, K.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (09)