LANDSLIDE SURVEYS USING LOW-COST UAV AND FOSS PHOTOGRAMMETRIC WORKFLOW

被引:4
作者
Yordanov, V [1 ,2 ]
Biagi, L. [1 ]
Truong, X. Q. [3 ]
Brovelli, M. A. [1 ,4 ]
机构
[1] Politecn Milan, Dept Civil & Environm Engn DICA, Piazza Leonardo Da Vinci 32, Milan, Italy
[2] Vasil Levski Natl Mil Univ, Veliko Tarnovo, Bulgaria
[3] Hanoi Univ Nat Resources & Environm, Informat Technol Fac, 41A Phu Dien Rd, Hanoi, Vietnam
[4] Ist Peril Rilevamento Elettromagnet Ambiente, CNR, IREA, Via Bassini 15, I-20133 Milan, Italy
来源
XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II | 2022年 / 43-B2卷
关键词
Landslides; Survey; UAV; Photogrammetry; Low-cost; Open-source;
D O I
10.5194/isprs-archives-XLIII-B2-2022-493-2022
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Unmanned Aerial Vehicle have found their usage in various academic and industry domains, mainly due to the versatility of options that one aircraft can offer from onboard sensors for data acquisition and positioning, through different weight and size categories allowing different applications, including landslide mapping and surveying. Survey-grade UAVs can provide very precise flight and data but usually are very costly, and their use can be further bounded by many regulations. In this work, we have adopted a low-cost consumer-grade UAV to do multitemporal monitoring of an active landslide (Ruinon) in Northern Italy to evaluate the applicability of such setup in the landslide hazard domain. Moreover, for flight planning, photogrammetric reconstruction, and comparative analyses we have adopted free and open-source software solutions. The resulted dense point clouds and orthophotos yielded very satisfactory results from accuracies of few meters and even sub-meter level when reconstructed with field-surveyed ground control points. As a result, from the two surveys comparisons, July and October 2021, several displaced boulders and debris were detected where no significant reactivations were detected from our surveys. Such low-cost setup can be used also from non-professionals and in citizen science campaigns which can significantly contribute to additional landslide mapping and analyses by providing valuable datasets.
引用
收藏
页码:493 / 499
页数:7
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