Journal
REMOTE SENSING
Volume 13, Issue 2, Pages -Publisher
MDPI
DOI: 10.3390/rs13020283
Keywords
drone-based remote sensing; wind erosion; resampling; spatial displacement; volumetric information; directional property; spatially explicit input
Categories
Funding
- National Natural Science Foundation of China [42071124, 2019QZKK0101]
- Strategic Priority Research Program of Chinese Academy of Sciences [XDB40020200]
- Fundamental Research Funds for the Central Universities [XZY012019008]
- State Key Laboratory of Loess and Quaternary Geology [SKLLQG1809]
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With advancements in drone technology, drone-based remote sensing can effectively provide high-resolution imagery and DSM for researching wind erosion in drylands. The study identifies challenges in fieldwork data collection and suggests various applications of drone-based remote sensing products.
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.
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