长江科学院院报 ›› 2015, Vol. 32 ›› Issue (3): 117-120.DOI: 10.3969/j.issn.1001-5485.2015.03.023

• 水土保持新技术与新方法 • 上一篇    下一篇

人工调查崩岗数据精度分析

刘洪鹄1a,秦飞1b,陈锦1c,刘政辉2,丁文峰1a   

  1. 1.长江科学院 a.水土保持研究所;b.人事处;c.科研计划处,武汉 430010;
    2.于都县水土保持局, 江西 于都 342300
  • 收稿日期:2014-12-30 出版日期:2015-03-01 发布日期:2015-03-06
  • 作者简介:刘洪鹄(1980-),男,山东潍坊人,高级工程师,博士,主要研究方向为土壤侵蚀与土地退化,(电话)027-82829919(电子信箱)honghu2005@gmail.com。
  • 基金资助:
    国家自然科学基金项目(41301297,41271303);水利部科技推广计划项目(TG1310);北京师范大学地表过程与资源生态国家重点实验室开放课题(2013-KF-07)

Accuracy of Slope Collapse Data Collected by Artificial Survey

LIU Hong-hu1,QIN Fei2,CHEN Jin3,LIU Zheng-hui4,DING Wen-feng1   

  1. 1.Soil and Water Conservation Department, Yangtze River Scientific Research Institute, Wuhan 430010, China;
    2.Human Resources Management Department, Yangtze River Scientific Research Institute, Wuhan 430010, China;
    3.Planning and Project Management Department,Yangtze River Scientific Research Institute, Wuhan 430010,China;
    4.Soil and Water Conservation Bureau of Yudu County, Yudu 342300, China
  • Received:2014-12-30 Online:2015-03-01 Published:2015-03-06

摘要: 我国南方崩岗分布广、危害大。掌握崩岗分布现状及动态变化,可为崩岗防治和制定决策服务,然而关于崩岗调查精度的研究尚缺乏。通过遥感影像提取崩岗数据和人工调查崩岗的空间分布、周长和面积等进行比较分析,结果发现:人工调查崩岗数据基本上能反映崩岗的分布位置,但形状和边界相差很大,其周长、面积与实际情况相比,平均值减小11.70%和9.07%;如果考虑误算的崩岗个数,周长、面积比实际情况减少得更小。这表明人工调查崩岗数据能够比较真实地反映实际情况,可为研究者、管理者和决策者进行科学研究、宏观决策时提供数据支持。但人工调查崩岗往往需投入较多的财力、人力以及时间,而且不能进行长期的动态监测,并受主观的影响较大。

关键词: 崩岗, 人工调查, 遥感影像, 相对误差, 空间分布, 决策, 地形图

Abstract: Slope collapse distributes widely in south China with huge damages. The distribution and dynamic changes of slope collapse is very helpful to controlling the slope collapse development and formulating the policy for slope collapse prevention, however at present few study on the accuracy of slope collapse investigation has been conducted. By comparing the characteristic data such as the spatial distribution, perimeter, and area collected from artificial survey and extracted from remote sensing images, we found that the data collected from artificial survey could generally reflect the actual location of slope collapse. But the shape and boundary differ greatly, with the average perimeter and area reduce 11.70%, and 9.07% respectively than the actual situation. If the number of incorrect slope collapse is considered, the total perimeter and area reduce less. In short, the slope collapse data from artificial survey reflects the actual value very correctly, and could support the database for scientific research and decision-making. However, more financial, human resource, and time are required in artificial survey, and long-term dynamic monitoring could not be carried out. In addition, its accuracy is affected by different investigators.

Key words: slope collapse, artificial survey, remote sensing image, relative error, spatial distribution, policy, topographic map

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