干旱区生态环境知识资源中心(Arid): Use of TanDEM-X and Sentinel Products to Derive Gully Activity Maps in Kunene Region (Namibia) Based on Automatic Iterative Random Forest Approach

Arid

DOI	10.1109/JSTARS.2020.3040284
	Use of TanDEM-X and Sentinel Products to Derive Gully Activity Maps in Kunene Region (Namibia) Based on Automatic Iterative Random Forest Approach
	Orti, Miguel Vallejo; Winiwarter, Lukas; Corral-Pazos-de-Provens, Eva; Williams, Jack G.; Bubenzer, Olaf; Hoefle, Bernhard
通讯作者	Orti, MV (corresponding author), Namibia Univ Sci & Technol, Dept Geospatial Sci & Technol, Windhoek 13388, Namibia.
来源期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN	1939-1404
EISSN	2151-1535
出版年	2021
卷号	14 页码:607-623
英文摘要	Gullies are landforms with specific patterns of shape, topography, hydrology, vegetation, and soil characteristics. Remote sensing products (TanDEM-X, Sentinel-1, and Sentinel-2) serve as inputs into an iterative algorithm, initialized using a micro-mapping simulation as training data, to map gullies in the northwestern of Namibia. A Random Forest Classifier examines pixels with similar characteristics in a pool of unlabeled data, and gully objects are detected where high densities of gully pixels are enclosed by an alpha shape. Gully objects are used in subsequent iterations following a mechanism where the algorithm uses the most reliable pixels as gully training samples. The gully class continuously grows until an optimal scenario in terms of accuracy is achieved. Results are benchmarked with manually tagged gullies (initial gully labeled area <0.3% of the total study area) in two different watersheds (408 and 302 km(2), respectively) yielding total accuracies of >98%, with 60% in the gully class, Cohen Kappa >0.5, Matthews Correlation Coefficient >0.5, and receiver operating characteristic Area Under the Curve >0.89. Hence, our method outlines gullies keeping low false-positive rates while the classification quality has a good balance for the two classes (gully/no gully). Results show the most significant gully descriptors as the high temporal radar signal coherence (22.4%) and the low temporal variability in Normalized Difference Vegetation Index (21.8%). This research builds on previous studies to face the challenge of identifying and outlining gully-affected areas with a shortage of training data using global datasets, which are then transferable to other large (semi-) arid regions.
英文关键词	Soil Vegetation mapping Training data Degradation Random forests Agriculture Three-dimensional displays Arid regions automatic classification gully erosion iterative learning land degradation Namibia random forest (RF) soil erosion mapping
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000696430600003
WOS关键词	SOIL-EROSION ; LOESS ; SUSCEPTIBILITY ; RESOLUTION ; DEM ; CLASSIFICATION ; KAOKOLAND ; ACCURACY ; IMPACTS ; IMAGERY
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Engineering ; Physical Geography ; 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/2XILL650/363559
作者单位	[Orti, Miguel Vallejo] Namibia Univ Sci & Technol, Dept Geospatial Sci & Technol, Windhoek 13388, Namibia; [Orti, Miguel Vallejo; Winiwarter, Lukas; Williams, Jack G.; Hoefle, Bernhard] Heidelberg Univ, 3D Geospatial Data Proc Grp, Inst Geog, D-69120 Heidelberg, Germany; [Corral-Pazos-de-Provens, Eva] Univ Huelva, Dept Ciencias Agroforestales, E-21819 Huelva, Spain; [Bubenzer, Olaf] Heidelberg Univ, Geomorphol & Soil Sci, Inst Geog, D-69120 Heidelberg, Germany; [Bubenzer, Olaf] Heidelberg Univ, Heidelberg Ctr Environm, D-69120 Heidelberg, Germany
推荐引用方式 GB/T 7714	Orti, Miguel Vallejo,Winiwarter, Lukas,Corral-Pazos-de-Provens, Eva,et al. Use of TanDEM-X and Sentinel Products to Derive Gully Activity Maps in Kunene Region (Namibia) Based on Automatic Iterative Random Forest Approach[J],2021,14:607-623.
APA	Orti, Miguel Vallejo,Winiwarter, Lukas,Corral-Pazos-de-Provens, Eva,Williams, Jack G.,Bubenzer, Olaf,&Hoefle, Bernhard.(2021).Use of TanDEM-X and Sentinel Products to Derive Gully Activity Maps in Kunene Region (Namibia) Based on Automatic Iterative Random Forest Approach.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,14,607-623.
MLA	Orti, Miguel Vallejo,et al."Use of TanDEM-X and Sentinel Products to Derive Gully Activity Maps in Kunene Region (Namibia) Based on Automatic Iterative Random Forest Approach".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 14(2021):607-623.