干旱区生态环境知识资源中心(Arid): Soil Degradation Mapping in Drylands Using Unmanned Aerial Vehicle (UAV) Data

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DOI	10.3390/soilsystems3020033
	Soil Degradation Mapping in Drylands Using Unmanned Aerial Vehicle (UAV) Data
	Krenz, Juliane; Greenwood, Philip; Kuhn, Nikolaus J.
通讯作者	Krenz, J
来源期刊	SOIL SYSTEMS
EISSN	2571-8789
出版年	2019
卷号	3 期号:2
英文摘要	Arid and semi-arid landscapes often show a patchwork of bare and vegetated spaces. Their heterogeneous patterns can be of natural origin, but may also indicate soil degradation. This study investigates the use of unmanned aerial vehicle (UAV) imagery to identify the degradation status of soils, based on the hypothesis that vegetation cover can be used as a proxy for estimating the soils' health status. To assess the quality of the UAV-derived products, we compare a conventional field-derived map (FM) with two modelled maps based on (i) vegetation cover (RGB map), and (ii) vegetation cover, topographic information, and a flow accumulation analysis (RGB+DEM map). All methods were able to identify areas of soil degradation but differed in the extent of classified soil degradation, with the RGB map classifying the least amount as degraded. The RGB+DEM map classified 12% more as degraded than the FM, due to the wider perspective of the UAV compared to conventional field mapping. Overall, conventional UAVs provide a valuable tool for soil mapping in heterogeneous landscapes where manual field sampling is very time consuming. Additionally, the UAVs' planform view from a bird's-eye perspective can overcome the limited view from the surveyors' (ground-based) vantage point.
英文关键词	erosion landscape mapping soil degradation soil mapping unmanned aerial vehicle (UAV)
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	ESCI
WOS记录号	WOS:000492984600002
WOS关键词	SUPPORT VECTOR MACHINES ; LAND-COVER ; VEGETATION PATTERNS ; BANDED VEGETATION ; SURFACE-ROUGHNESS ; SEMIARID KAROO ; SOUTH-AFRICA ; EROSION ; RUNOFF ; CLASSIFICATION
WOS类目	Soil Science
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/333879
作者单位	[Krenz, Juliane; Greenwood, Philip; Kuhn, Nikolaus J.] Univ Basel, Phys Geog & Environm Change, CH-4056 Basel, Switzerland
推荐引用方式 GB/T 7714	Krenz, Juliane,Greenwood, Philip,Kuhn, Nikolaus J.. Soil Degradation Mapping in Drylands Using Unmanned Aerial Vehicle (UAV) Data[J],2019,3(2).
APA	Krenz, Juliane,Greenwood, Philip,&Kuhn, Nikolaus J..(2019).Soil Degradation Mapping in Drylands Using Unmanned Aerial Vehicle (UAV) Data.SOIL SYSTEMS,3(2).
MLA	Krenz, Juliane,et al."Soil Degradation Mapping in Drylands Using Unmanned Aerial Vehicle (UAV) Data".SOIL SYSTEMS 3.2(2019).