Application of the UAV Photogrammetry to Monitor the Progressive Surface Subsidence with a Time-Dependent Model

Author:

Zhu Huan,Bi GangORCID,Jiang Xin

Funder

Fundamental Scientific Research in Universities of Jiangsu

Publisher

Springer Science and Business Media LLC

Reference32 articles.

1. Suh J, Choi Y (2017) Mapping hazardous mining-induced sinkhole subsidence using unmanned aerial vehicle (drone) photogrammetry. Environ Earth Sci 76:144

2. Lechner A, Baumgartl T, Matthew P et al (2016) The impact of underground longwall mining on prime agricultural land: a review and research agenda. Land Degrad Dev 27(6):1650–1663

3. Qu J, Hou Y, Ge M et al (2017) Carbon dynamics of reclaimed coal mine soil under agricultural use: a chronosequence study in the Dongtan mining area, Shangdong Province. China Sustain 9(4):629–645

4. Xiao W, Chen J, Zhao Y et al (2019) Identify maize chlorophyll impacted by coal mining subsidence in high groundwater table area based on UAV remote sensing. J China Coal Soc 44(1):302–313

5. Burns W, Madin I (2009) Protocol for inventory mapping of landslide deposits from light detection and ranging (LiDAR) imagery. Oregon Department of Geology and Mineral Industries, Portland

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