An Integrated Use of Topography with RSI in Gully Mapping, Shandong Peninsula, China

Taking the Quickbird optical satellite imagery of the small watershed of Beiyanzigou valley of Qixia city, Shandong province, as the study data, we proposed a new method by using a fused image of topography with remote sensing imagery (RSI) to achieve a high precision interpretation of gully edge li...

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Main Authors: Fuhong He, Tao Wang, Lijuan Gu, Tao Li, Weiguo Jiang, Hongbo Shao
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/827124
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author Fuhong He
Tao Wang
Lijuan Gu
Tao Li
Weiguo Jiang
Hongbo Shao
author_facet Fuhong He
Tao Wang
Lijuan Gu
Tao Li
Weiguo Jiang
Hongbo Shao
author_sort Fuhong He
collection DOAJ
description Taking the Quickbird optical satellite imagery of the small watershed of Beiyanzigou valley of Qixia city, Shandong province, as the study data, we proposed a new method by using a fused image of topography with remote sensing imagery (RSI) to achieve a high precision interpretation of gully edge lines. The technique first transformed remote sensing imagery into HSV color space from RGB color space. Then the slope threshold values of gully edge line and gully thalweg were gained through field survey and the slope data were segmented using thresholding, respectively. Based on the fused image in combination with gully thalweg thresholding vectors, the gully thalweg thresholding vectors were amended. Lastly, the gully edge line might be interpreted based on the amended gully thalweg vectors, fused image, gully edge line thresholding vectors, and slope data. A testing region was selected in the study area to assess the accuracy. Then accuracy assessment of the gully information interpreted by both interpreting remote sensing imagery only and the fused image was performed using the deviation, kappa coefficient, and overall accuracy of error matrix. Compared with interpreting remote sensing imagery only, the overall accuracy and kappa coefficient are increased by 24.080% and 264.364%, respectively. The average deviations of gully head and gully edge line are reduced by 60.448% and 67.406%, respectively. The test results show the thematic and the positional accuracy of gully interpreted by new method are significantly higher. Finally, the error sources for interpretation accuracy by the two methods were analyzed.
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spelling doaj-art-5957a2e1f7a041f7aa6589ea9bb3e8822025-02-03T07:23:55ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/827124827124An Integrated Use of Topography with RSI in Gully Mapping, Shandong Peninsula, ChinaFuhong He0Tao Wang1Lijuan Gu2Tao Li3Weiguo Jiang4Hongbo Shao5College of Geography and Planning, Ludong University, Yantai 264025, ChinaCollege of Geography and Planning, Ludong University, Yantai 264025, ChinaInstitute of Systems Science and Mathematics, NAAU, Yantai 264001, ChinaHubei Environmental Science Academy, Wuhan 430072, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, ChinaKey Laboratory of Coastal Biology & Bioresources Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (CAS), Yantai 264003, ChinaTaking the Quickbird optical satellite imagery of the small watershed of Beiyanzigou valley of Qixia city, Shandong province, as the study data, we proposed a new method by using a fused image of topography with remote sensing imagery (RSI) to achieve a high precision interpretation of gully edge lines. The technique first transformed remote sensing imagery into HSV color space from RGB color space. Then the slope threshold values of gully edge line and gully thalweg were gained through field survey and the slope data were segmented using thresholding, respectively. Based on the fused image in combination with gully thalweg thresholding vectors, the gully thalweg thresholding vectors were amended. Lastly, the gully edge line might be interpreted based on the amended gully thalweg vectors, fused image, gully edge line thresholding vectors, and slope data. A testing region was selected in the study area to assess the accuracy. Then accuracy assessment of the gully information interpreted by both interpreting remote sensing imagery only and the fused image was performed using the deviation, kappa coefficient, and overall accuracy of error matrix. Compared with interpreting remote sensing imagery only, the overall accuracy and kappa coefficient are increased by 24.080% and 264.364%, respectively. The average deviations of gully head and gully edge line are reduced by 60.448% and 67.406%, respectively. The test results show the thematic and the positional accuracy of gully interpreted by new method are significantly higher. Finally, the error sources for interpretation accuracy by the two methods were analyzed.http://dx.doi.org/10.1155/2014/827124
spellingShingle Fuhong He
Tao Wang
Lijuan Gu
Tao Li
Weiguo Jiang
Hongbo Shao
An Integrated Use of Topography with RSI in Gully Mapping, Shandong Peninsula, China
The Scientific World Journal
title An Integrated Use of Topography with RSI in Gully Mapping, Shandong Peninsula, China
title_full An Integrated Use of Topography with RSI in Gully Mapping, Shandong Peninsula, China
title_fullStr An Integrated Use of Topography with RSI in Gully Mapping, Shandong Peninsula, China
title_full_unstemmed An Integrated Use of Topography with RSI in Gully Mapping, Shandong Peninsula, China
title_short An Integrated Use of Topography with RSI in Gully Mapping, Shandong Peninsula, China
title_sort integrated use of topography with rsi in gully mapping shandong peninsula china
url http://dx.doi.org/10.1155/2014/827124
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