Accuracy Assessment of the Planar Morphology of Valley Bank Gullies Extracted with High Resolution Remote Sensing Imagery on the Loess Plateau, China

doi:10.3390/ijerph16030369

	Accuracy Assessment of the Planar Morphology of Valley Bank Gullies Extracted with High Resolution Remote Sensing Imagery on the Loess Plateau, China
	Chen, Yixian 1,2; Jiao, Juying 1,3; Wei, Yanhong 1,2; Zhao, Hengkang 3; Yu, Weijie 3; Cao, Binting 3; Xu, Haiyan 3; Yan, Fangchen 3; Wu, Duoyang 3; Li, Hang 3
刊名	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
	2019-02-01
卷号	16 期号:3 页码:19
关键词	valley bank gully Pleiades imagery visual interpretation accuracy assessing standard gully detection limit gully dimensions vegetation cover gully shape complexity broken topography
ISSN号	1660-4601
DOI	10.3390/ijerph16030369
通讯作者	Jiao, Juying(jyjiao@ms.iswc.ac.cn)
英文摘要	Gully 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.
资助项目	National Natural Science Foundation of China[41771319] ; National Natural Science Foundation of China[41371280]
WOS关键词	SOIL-EROSION ; ENVIRONMENTAL-CHANGE ; AERIAL PHOTOGRAPHS ; SMALL CATCHMENT ; SATELLITE DATA ; RETREAT RATES ; VEGETATION ; REGION ; IDENTIFICATION ; AREAS
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
语种	英语
出版者	MDPI
WOS记录号	WOS:000459113600075
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/49345]
专题	中国科学院地理科学与资源研究所
通讯作者	Jiao, Juying
作者单位	1.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
推荐引用方式 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.