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Accuracy Assessment of the Planar Morphology of Valley Bank Gullies Extracted with High Resolution Remote Sensing Imagery on the Loess Plateau, China
Chen, Yixian1,2; Jiao, Juying1,3; Wei, Yanhong1,2; Zhao, Hengkang3; Yu, Weijie3; Cao, Binting3; Xu, Haiyan3; Yan, Fangchen3; Wu, Duoyang3; Li, Hang3
2019-02-01
Source PublicationINTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
ISSN1660-4601
Volume16Issue:3Pages:19
Corresponding AuthorJiao, Juying(jyjiao@ms.iswc.ac.cn)
AbstractGully erosion is a serious environmental problem worldwide, causing soil loss, land degradation, silting up of reservoirs and even catastrophic flooding. Mapping gully features from remote sensing imagery is crucial for assisting in understanding gully erosion mechanisms, predicting its development processes and assessing its environmental and socio-economic effects over large areas, especially under the increasing global climate extremes and intensive human activities. However, the potential of using increasingly available high-resolution remote sensing imagery to detect and delineate gullies has been less evaluated. Hence, 130 gullies occurred along a transect were selected from a typical watershed in the hilly and gully region of the Chinese Loess Plateau, and visually interpreted from a Pleiades-1B satellite image (panchromatic-sharpened image at 0.5 m resolution fused with 2.0 m multi-spectral bands). The interpreted gullies were compared with their measured data obtained in the field using a differential global positioning system (GPS). Results showed that gullies could generally be accurately interpreted from the image, with an average relative error of gully area and gully perimeter being 11.1% and 8.9%, respectively, and 74.2% and 82.3% of the relative errors for gully area and gully perimeter were within 15%. But involving field measurements of gullies in present imagery-based gully studies is still recommended. To judge whether gullies were mapped accurately further, a standard adopting one-pixel tolerance along the mapped gully edges was proposed and proved to be practical. Correlation analysis indicated that larger gullies could be interpreted more accurately but increasing gully shape complexity would decrease interpreting accuracy. Overall lower vegetation coverage in winter due to the withering and falling of vegetation rarely affected gully interpreting. Furthermore, gully detectability on remote sensing imagery in this region was lower than the other places of the world, due to the overall broken topography in the Loess Plateau, thus images with higher resolution than normally perceived are needed when mapping erosion features here. Taking these influencing factors (gully dimension and shape complexity, vegetation coverage, topography) into account will be favorable to select appropriate imagery and gullies (as study objects) in future imagery-based gully studies. Finally, two linear regression models were built to correct gully area (A(ip), m(2)) and gully perimeter (P-ip, m) visually extracted, by connecting them with the measured area (A(ms), m(2)) and perimeter (P-ms, m). The correction models were Ams=1.021Aip+0.139 and Pms=0.949Pip+0.722, respectively. These models could be helpful for improving the accuracy of interpreting results, and further accurately estimating gully development and developing more effective automated gully extraction methods on the Loess Plateau of China.
Keywordvalley bank gully Pleiades imagery visual interpretation accuracy assessing standard gully detection limit gully dimensions vegetation cover gully shape complexity broken topography
DOI10.3390/ijerph16030369
WOS KeywordSOIL-EROSION ; ENVIRONMENTAL-CHANGE ; AERIAL PHOTOGRAPHS ; SMALL CATCHMENT ; SATELLITE DATA ; RETREAT RATES ; VEGETATION ; REGION ; IDENTIFICATION ; AREAS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41771319] ; National Natural Science Foundation of China[41371280]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS SubjectEnvironmental Sciences ; Public, Environmental & Occupational Health
WOS IDWOS:000459113600075
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49346
Collection中国科学院地理科学与资源研究所
Corresponding AuthorJiao, Juying
Affiliation1.Chinese Acad Sci & Minist Water Resources, State Key Lab Soil Eros & Dryland Farming Loess P, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Chen, Yixian,Jiao, Juying,Wei, Yanhong,et al. Accuracy Assessment of the Planar Morphology of Valley Bank Gullies Extracted with High Resolution Remote Sensing Imagery on the Loess Plateau, China[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2019,16(3):19.
APA Chen, Yixian.,Jiao, Juying.,Wei, Yanhong.,Zhao, Hengkang.,Yu, Weijie.,...&Li, Hang.(2019).Accuracy Assessment of the Planar Morphology of Valley Bank Gullies Extracted with High Resolution Remote Sensing Imagery on the Loess Plateau, China.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,16(3),19.
MLA Chen, Yixian,et al."Accuracy Assessment of the Planar Morphology of Valley Bank Gullies Extracted with High Resolution Remote Sensing Imagery on the Loess Plateau, China".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 16.3(2019):19.
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