IMHE OpenIR  > 山地灾害与地表过程重点实验室
基于无人机影像快速估算矿山排土场边坡土壤侵蚀速率的方法
Alternative TitleMethod of Soil Erosion Rate Estimation on Mineland Dump Slope Based on Unmanned Aerial Vehicle Image
杨超1,2; 苏正安1; 马菁3; 苏志满1; 徐霞2; 孔祥周4
Corresponding Author苏正安
2016-12
Source Publication水土保持通报
ISSN1000-288X
Volume36Issue:6Pages:235-239
Other Abstract

[目的]探究无人机高清影像快速估算矿山排土场边坡土壤侵蚀速率的方法,为无长期地形监测地区的土壤侵蚀强度估算提供了新方法。[方法]通过无人机和RTK-GPS分别获取研究区影像及地面控制点坐标,利用Agisoft PhotoScan Professional 1.1.2软件生成研究区空间点云,利用ArcGIS 10.3生成高精度DEM,通过目视遥感解译和现场调查,快速估算研究区土壤侵蚀速率。[结果]本研究区排土场边坡土壤流失面积11 052.53m2,土壤侵蚀总体积835.41m3,土壤侵蚀速率为4 043.82t/(km2·a)。使用普通克里金法插值生成DEM数据精度为0.26m。[结论]通过本研究方法计算出的排土场土壤侵蚀强度属于中度侵蚀,土壤侵蚀速率较为符合实际情况,精度也满足了本研究的需要,同时,在高密度点存在的情况下,各种插值方法生成DEM数据误差相差不大,使用普通克里金法能够使结果最优。

;

[Objective]Soil erosion rate of mineland dump slope was estimated using high resolution image of unmanned aerial vehicle(UAV)which provided a new method to estimate the soil erosion rate in the area without long-term topography monitoring.[Methods]The images of study area and spatial coordinates of the ground control points were acquired using UAV and RTK-GPS,respectively.The dense point clouds and high resolution digital elevation models(DEMs)were generated using Agisoft PhotoScan Professional 1.1.2 and Arc GIS 10.3,respectively.Upon which,the soil erosion rate was estimated by visual imagery interpretation and field survey.[Results]The soil erosion area and soil erosion volume in the mineland dump slope were estimated at 11 052.53 m~2 and 835.41m~3,respectively.The soil erosion rate was estimated at 4 043.82 t/(km~2·a).The RMSE of the DEM was 0.26musing Ordinary Kriging method.[Conclusion]The soil erosion rate of the study area belonged to middle soil erosion,which were thought consisted with factual situations. And hence,the precision of DEM satisfied the request of the study.Although no significant differences in the DEM accuracy could be found among various interpolation methods due to the high density of cloud data,Ordinary Kriging performed best among different interpolation methods.

Keyword无人机 矿山排土场 密集点云 Dem 土壤侵蚀速率
Subject AreaS157.1
DOI10.13961/j.cnki.stbctb.2016.06.021
Indexed ByCSCD
Language中文
CSCD IDCSCD:5890610
Funding Organization四川省应用基础研究计划项目“攀枝花矿区弃渣场水土流失机理及植被恢复治理模式研究”(2014JY0067) ; 国家自然科学基金项目(41401313)
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/18060
Collection山地灾害与地表过程重点实验室
Affiliation1.中国科学院水利部成都山地灾害与环境研究所,中国科学院山地灾害与地表过程重点实验室
2.四川师范大学
3.四川农业大学
4.攀枝花干沟实验站
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
杨超,苏正安,马菁,等. 基于无人机影像快速估算矿山排土场边坡土壤侵蚀速率的方法[J]. 水土保持通报,2016,36(6):235-239.
APA 杨超,苏正安,马菁,苏志满,徐霞,&孔祥周.(2016).基于无人机影像快速估算矿山排土场边坡土壤侵蚀速率的方法.水土保持通报,36(6),235-239.
MLA 杨超,et al."基于无人机影像快速估算矿山排土场边坡土壤侵蚀速率的方法".水土保持通报 36.6(2016):235-239.
Files in This Item:
File Name/Size DocType Version Access License
基于无人机影像快速估算矿山排土场边坡土壤(612KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[杨超]'s Articles
[苏正安]'s Articles
[马菁]'s Articles
Baidu academic
Similar articles in Baidu academic
[杨超]'s Articles
[苏正安]'s Articles
[马菁]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[杨超]'s Articles
[苏正安]'s Articles
[马菁]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 基于无人机影像快速估算矿山排土场边坡土壤侵蚀速率的方法.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.