title: An integrated use of topography with RSI in gully mapping, Shandong Peninsula, China.
abstract: 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.
authors.affiliation: College of Geography and Planning, Ludong University, Yantai 264025, China.
authors.forename: Fuhong
authors.initials: F
authors.lastname: He
authors.affiliation: College of Geography and Planning, Ludong University, Yantai 264025, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Wang
authors.affiliation: Institute of Systems Science and Mathematics, NAAU, Yantai 264001, China.
authors.forename: Lijuan
authors.initials: L
authors.lastname: Gu
authors.affiliation: Hubei Environmental Science Academy, Wuhan 430072, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Li
authors.affiliation: State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China.
authors.forename: Weiguo
authors.initials: W
authors.lastname: Jiang
authors.affiliation: Key Laboratory of Coastal Biology & Bioresources Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (CAS), Yantai 264003, China ; Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.
authors.forename: Hongbo
authors.initials: H
authors.lastname: Shao
mesh_terms: D002681:China; D003247:Conservation of Natural Resources; D017753:Ecosystem; D040362:Geographic Information Systems; D061005:Ponds; D058998:Remote Sensing Technology / Q000295:instrumentation / Q000379:methods*; D017215:Satellite Communications / Q000295:instrumentation*; D012987:Soil; D014872:Water Movements
chemical_list: D012987:Soil