Abstract
With rapid innovations in drone, camera, and 3D photogrammetry, drone-based remote sensing can accurately and efficiently provide ultra-high resolution imagery and digital surface model (DSM) at a landscape scale. Several studies have been conducted using drone-based remote sensing to quantitatively assess the impacts of wind erosion on the vegetation communities and landforms in drylands. In this study, first, five difficulties in conducting wind erosion research through data collection from fieldwork are summarized: insufficient samples, spatial displacement with auxiliary datasets, missing volumetric information, a unidirectional view, and spatially inexplicit input. Then, five possible applications—to provide a reliable and valid sample set, to mitigate the spatial offset, to monitor soil elevation change, to evaluate the directional property of land cover, and to make spatially explicit input for ecological models—of drone-based remote sensing products are suggested. To sum up, drone-based remote sensing has become a useful method to research wind erosion in drylands, and can solve the issues caused by using data collected from fieldwork. For wind erosion research in drylands, we suggest that a drone-based remote sensing product should be used as a complement to field measurements.
Highlights
Wind erosion is a land surface process that occurs in drylands [1]
The studies of Karl et al [15], Duniway et al [16], and Zhang and Okin [17] have proved that the wind erosion-related indicators from field measurement and drone-based remote sensing estimated by using the transect line method are highly correlated
The means of the vegetation cover, bare soil gap size, and plant height based on six gap size, and plant height based on six evenly distributed transect lines are larger than the evenly distributed transect lines arebased similar to the means based ontransect, 1000 evenly standard deviations on 1000 evenly distributed whichdistributed shows that the small transect lines
Summary
Wind erosion is a land surface process that occurs in drylands [1] It impacts the landform and vegetation community, which leads to degradation of farmland, rangeland, and natural habitats [2]. Drone-based remote sensing is a low-cost and high-efficiency way to monitor and detect the impact of wind erosion on landforms and vegetation communities. 2021, 13, 283 by wind erosion and water erosion in an omnidirectional view Those studies proved that drone-based remote sensing products can provide valuable supplemental information. First, the difficulties of conducting wind erosion research by using data collected from fieldwork are summarized: insufficient samples, spatial displacement with auxiliary datasets, missing volumetric information, unidirectional view, and spatially inexplicit input. The potential of drone-based remote sensing as a supplement to fieldwork is discussed
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