Please wait a minute...
img

官方微信

遥感技术与应用  2005, Vol. 20 Issue (5): 537-542    DOI: 10.11873/j.issn.1004-0323.2005.5.537
技术研究与图像处理     
土壤侵蚀调查中的遥感应用综述
周为峰 1,2 , 吴炳方 1
1.中国科学院遥感应用研究所,北京 100101 2.中国科学院研究生院,北京 100039
Overview of Remote Sensing Approaches to Soil Erosion Monitoring
ZHOU Wei feng 1,2 , WU Bing fang 1
1.Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China; 2.Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
 全文: PDF 
摘要: 土壤侵蚀引起土壤肥力下降、土地退化及荒漠化和生态环境恶化等一系列区域性和世界性的重大环境问题。中国是土壤侵蚀最严重的国家之一。遥感是进行环境和灾害动态监测的有效技术手段。自从20世纪70年代以来,人们就开始应用遥感技术进行土壤侵蚀的调查。对遥感技术在土壤侵蚀调查中的应用方法进行概括和汇总,分别是影像判读法、指数提取法、图像分类法、光谱分解和正射影像DEM提法等方法,分析不同方法之间的优缺点以及它们各自的适用范围,并结合当前研究的热点问题,指出未来研究的重点及趋势。
关键词: 土壤侵蚀调查 遥感应用    
Abstract: Soil erosion is the main reason for environment degradation globally. China is undergoing the severest erosion. Remote sensing is the only method that can monitor land exhaustively and directly by providing good coverage of the earth at a great range of scales. Since 1970s people have already utilized remote sensing to monitor soil erosion and do risk assessing. This paper tries to gather and review the currently remote sensing approaches in soil erosion monitoring. This paper describes several methods for effective erosion monitoring of large land areas, including: visual interpretation, vegetation index derivation, digital image classification, spectrum mixture modeling, digital elevation analysis obtained by orthorectified aerial photography. This paper discusses the dominances and limitations of these methods. We can choose a suitable method depending on the extent of erosion information obtained, application objectives, accessed data and other aspects. In China visual interpretation is the general |used method among these methods. Vegetation index derivation can be combined with soil erosion model well. Other methods were used less. With the development of remote sensing, it can be believed that remote sensing techniques would empower land managers to dynamically use satellite imagery for environmental management. The relationship of dynamic change detection and soil erosion mechanism, different resolution image integration use and microwave application in soil erosion monitoring should be paid more attention in coming research.
Key words: Soil erosion monitoring    Remote sensing application
收稿日期: 2005-01-07 出版日期: 2011-11-17
:  TP 79  
基金资助: 官厅密云水库上游水土保持监测系统(HW;STBC2002;01)。
作者简介: 周为峰(1978-),女,博士生,主要从事遥感与地理信息系统应用及生态环境监测等领域的研究工作。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
周为峰
吴炳方

引用本文:

周为峰, 吴炳方 . 土壤侵蚀调查中的遥感应用综述[J]. 遥感技术与应用, 2005, 20(5): 537-542.

ZHOU Wei-Feng, WU Bing-Fang. Overview of Remote Sensing Approaches to Soil Erosion Monitoring . Remote Sensing Technology and Application, 2005, 20(5): 537-542.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2005.5.537        http://www.rsta.ac.cn/CN/Y2005/V20/I5/537

〔1〕 李运学,邓吉华,黄建胜,等.水土流失是我国的头号环境问题〔J〕.水土保持学报,2002,16(5):105~107. 〔2〕 王占礼.中国土壤侵蚀影响因素及其危害分析〔J〕.农业工程学报,2000,16(4):32~36. 〔3〕 李锐,杨勤科,赵永安,等.现代空间信息技术在中国水土保持中的应用〔J〕.水土保持通报.1998,18(5):1~5. 〔4〕 杨子生.论水土流失与土壤侵蚀及其有关概念的界定〔J〕.山地学报,2001,19(5):436~445. 〔5〕 van der Knijff J M, Jones R J A, Montanarella L. Soil Erosion Risk Assessment in Europe〔R〕. Report EUR 19044 EN, European Soil Bureau, European Commission. 〔6〕 颉耀文,陈怀录,徐克斌.数字遥感影像判读法在土壤侵蚀调查中的应用〔J〕.兰州大学学报(自然科学版),2002,38(2):157~162. 〔7〕 De Ploey J. A Soil Erosion Map for Western Europe〔Z〕. Catena Verlag,1989. 〔8〕 Dwivedi R S, Sankar T R, Venkataratnam L, et al. The Inventory and Monitoring of Eroded Lands Using Remote Sensing Data〔J〕. Int J Remote Sensing, 1997,18(1):107~119. 〔9〕 Hassan M F, Ahmed A S, Imadeldin A Ali. Shinobu Lnanaga.Use of Remote Sensing to Map Gully Erosion Along the Atbara River, Sudan〔J〕. International Journal of Applied Earth Observation and Geoinformation (JAG), 1999,1(3/4):175~180. 〔10〕 杨胜天,朱启疆.人机交互式解译在大尺度土壤侵蚀遥感调查中的作用〔J〕.水土保持学报,2000,14(3):88~91. 〔11〕 Yassoglou N, Montanarella L, Govers G, et al. Soil Erosion in Europe〔J〕. European Soil Bureau,1998. 〔12〕 蔡继清,任志勇,李迎春.土壤侵蚀遥感快速调查中有关技术问题的商榷〔J〕.水土保持通报,2002,22(6):45~47. 〔13〕 景可.长江上游泥沙输移比初探〔J〕.泥沙研究,2002,1:53~59. 〔14〕 刘淑珍,陶和平,柴宗新,等.关于土壤侵蚀遥感调查中几个问题的思索〔J〕.水土保持学报,2001,15(5):18~21. 〔15〕 赵英时. 遥感应用分析原理与方法〔M〕.北京:科学出版社,2003. 〔16〕 Linda Cyr, Ferdinand Bonn, Alain Pesant. Vegetation Indices Derived from Remote Sensing for an Estimation of Soil Protection Against Water Erosion〔J〕. Ecological Modelling,1995,79:277~285. 〔17〕CORINE. Soil Erosion Risk and Important Land Resources in the Southern Regions of the European Community〔Z〕. EUR 13233, Luxembourg.1992. 〔18〕 张增祥,赵晓丽,陈晓峰,等.基于遥感和地理信息系统(GIS)的山区土壤侵蚀强度数值分析〔J〕.农业工程学报,1998,14(3):77~83. 〔19〕 杨晓梅.哥伦比亚东部平原上侵蚀风险绘图法的研究〔J〕.水土保持科技情报,2003,3:8~11. 〔20〕 Morgan R P C.Soil Erosion and Conservation. Second Edition〔M〕. Longman, Essex,1995. 〔21〕 周正朝,上官周平土壤侵蚀模型研究综述〔J〕.中国水土保持科学,2004,2(1):52~55. 〔22〕 李光录, 张胜利.土壤侵蚀模型研究现状及回顾〔J〕.西北林学院学报,2000,15 (2):76~83. 〔23〕 胡良军,邵明安.论水土流失研究中的植被覆盖度量指标〔J〕.西北林学院学报,2001,16(1):40~43. 〔24〕 Ma J W, Xue Y, Ma C F, et al. A Data Fusion Approach for Soil Erosion Monitoring in the UpperYangtze River Basin of China Based on Universal Soil Loss Equation (USLE) model〔J〕. Int J Remote Sensing, 2003,24(23):4777~4789. 〔25〕 De Jong S M, Paracchini M L, Bertolo F S, et al.Regional Assessment of Soil Erosion Using the Distributed Model SEMMED and Remotely Sensed Data〔J〕. Catena,1999,37(1999): 291~308. 〔26〕 张登荣,朱建丽,徐鹏炜.基于卫星遥感和GIS 技术的水土流失动态监测体系研究〔J〕.浙江大学学报(理学版),2001,28(5):577~582. 〔27〕 邱扬,傅伯杰.异质景观中水土流失的空间变异与尺度变异〔J〕.生态学报,2004,24(2):330~337. 〔28〕 Van der Knijff J M, Jones R J A, Montanarella L. Soil Erosion Risk Assessment Italy〔Z〕. European Soil Bureau,1999. 〔29〕 李锐.遥感技术与土地退化评价〔J〕.水土保持学报,1989,3(2):65~71. 〔30〕 Servenay A, Prat C. Erosion Extension of Indurated Volcanic soils of Mexico by Aerial Photographs and Remote Sensing Analysis〔J〕.Geoderma,2003,117:367~375. 〔31〕 Metternicht G I, Zinck J A. Evaluating the Information Contents of JERS-1 SAR and Landsat TM Data for Discrimination of Soil Erosion Features〔J〕.ISPRS Journal of Photogrammetry & Remote sensing,1998,53:143~153. 〔32〕 Sujatha G, Dwivedi R S, Sreenivas K, et al. Mapping and Monitoring of Degraded Lands in Part of Jaunpur District of Uttar Pradesh Using Temporal Spaceborne Multispectral Data〔J〕. INT J Remote Sensing, 2000,21(3):519~531. 〔33〕Metternicht G I, Fermont A. Estimation Erosion Surface Features by Linear Mixture Modeling〔J〕. Remote Sensing of Environ, 1998,64:254~265. 〔34〕 Harley D B, Ronald C D. Digital Elevation Models as a Tool for Monitoring and Measuring Gully Erosion〔J〕.International Journal of Applied Earth Observation and Geoinformation (JAG), 1999,1(2):91~101. 〔35〕 SAR Imagery to Estimate Roughness Parameters when Modeling Runoff Risk〔J〕. Int J Remote Sensing, 1999,20(13):2613~2625.
[1] 何欣年. 俄罗斯高分辨卫星影像及应用[J]. 遥感技术与应用, 2002, 17(1): 37-40.
[2] 黄新宇,高峰 . 我国15年遥感论著综览[J]. 遥感技术与应用, 1996, 11(4): 67-70.