干旱区生态环境知识资源中心(Arid): Comparison of Three Algorithms for the Evaluation of TanDEM-X Data for Gully Detection in Krumhuk Farm (Namibia)

Arid

DOI	10.3390/rs11111327
	Comparison of Three Algorithms for the Evaluation of TanDEM-X Data for Gully Detection in Krumhuk Farm (Namibia)
	Orti, Miguel Vallejo 1,2; Negussie, Kaleb 1,3; Corral-Pazos-de-Provens, Eva 4; Hoefle, Bernhard 2; Bubenzer, Olaf 5,6
通讯作者	Orti, Miguel Vallejo
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:11
英文摘要	Namibia is a dry and low populated country highly dependent on agriculture, with many areas experiencing land degradation accelerated by climate change. One of the most obvious and damaging manifestations of these degradation processes are gullies, which lead to great economic losses while accelerating desertification. The development of standardized methods to detect and monitor the evolution of gully-affected areas is crucial to plan prevention and remediation strategies. With the aim of developing solutions applicable at a regional or even national scale, fully automated satellite-based remote sensing methods are explored in this research. For this purpose, three different algorithms are applied to a Digital Elevation Model (DEM) generated from the TanDEM-X satellite mission to extract gullies from their geomorphological characteristics: (i) Inverted Morphological Reconstruction (IMR), (ii) Smoothing Moving Polynomial Fitting (SMPF) and (iii) Multi Profile Curvature Analysis (MPCA). These algorithms are adapted or newly developed to identify gullies at the pixel level (12 m) in our study site in the Krumhuk Farm. The results of the three methods are benchmarked with ground truth; specific scenarios are observed to better understand the performance of each method. Results show that MPCA is the most reliable method to identify gullies, achieving an overall accuracy of approximately 0.80 with values of Cohen Kappa close to 0.35. The performance of these parameters improves when detecting large gullies (>30 m width and >3 m depth) achieving Total Accuracies (TA) near to 0.90, Cohen Kappa above 0.5, and User Accuracy (UA) and Producer Accuracy (PA) over 0.50 for the gully class. Small gullies (<12 m wide and <2 m deep) are usually neglected in the classification results due to spatial resolution constraints within the input DEM. In addition, IMR generates accurate results for UA in the gully class (0.94). The MPCA method developed here is a promising tool for the identification of large gullies considering extensive study areas. Nevertheless, further development is needed to improve the accuracy of the algorithms, as well as to derive geomorphological gully parameters (e.g., perimeter and volume) instead of pixel-level classification.
英文关键词	Digital Elevation Model gully erosion Morphological Reconstruction Namibia polynomial surface fitting terrain curvature TanDEM-X
类型	Article
语种	英语
国家	Namibia ; Germany ; Spain
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000472648000070
WOS关键词	LIDAR DATA ; EROSION ; ACCURACY ; PHOTOGRAMMETRY ; CATCHMENT ; GEOMETRY ; MODEL
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218378
作者单位	1.Namibia Univ Sci & Technol, Dept Geospatial Sci & Technol, Windhoek 13388, Namibia; 2.Heidelberg Univ, 3D Geospatial Data Proc Grp, Inst Geog, D-69120 Heidelberg, Germany; 3.Namibia Univ Sci & Technol, ILMI, Windhoek 13388, Namibia; 4.Univ Huelva, Dept Ciencias Agroforestales, Huelva 21819, Spain; 5.Heidelberg Univ, Geomorphol & Soil Sci, Inst Geog, D-69120 Heidelberg, Germany; 6.Heidelberg Univ, Heidelberg Ctr Environm, D-69120 Heidelberg, Germany
推荐引用方式 GB/T 7714	Orti, Miguel Vallejo,Negussie, Kaleb,Corral-Pazos-de-Provens, Eva,et al. Comparison of Three Algorithms for the Evaluation of TanDEM-X Data for Gully Detection in Krumhuk Farm (Namibia)[J],2019,11(11).
APA	Orti, Miguel Vallejo,Negussie, Kaleb,Corral-Pazos-de-Provens, Eva,Hoefle, Bernhard,&Bubenzer, Olaf.(2019).Comparison of Three Algorithms for the Evaluation of TanDEM-X Data for Gully Detection in Krumhuk Farm (Namibia).REMOTE SENSING,11(11).
MLA	Orti, Miguel Vallejo,et al."Comparison of Three Algorithms for the Evaluation of TanDEM-X Data for Gully Detection in Krumhuk Farm (Namibia)".REMOTE SENSING 11.11(2019).