Editing Unmanned aerial vehicle (section)

==== Geological hazards ====
UAVs have become a widely used tool for studying [[geohazard]]s such as [[landslide]]s.<ref>{{Cite journal |last1=Sun |first1=Jianwei |last2=Yuan |first2=Guoqin |last3=Song |first3=Laiyun |last4=Zhang |first4=Hongwen |date=January 2024 |title=Unmanned Aerial Vehicles (UAVs) in Landslide Investigation and Monitoring: A Review |journal=Drones |language=en |volume=8 |issue=1 |pages=30 |doi=10.3390/drones8010030 |doi-access=free |bibcode=2024Drone...8...30S |issn=2504-446X}}</ref> Various sensors, including radar, optical, and thermal, can be mounted on UAVs to monitor different properties. UAVs enable the capture of images of various [[landslide]] features, such as transverse, radial, and longitudinal cracks, ridges, scarps, and surfaces of rupture, even in inaccessible areas of the sliding mass.<ref>{{Cite journal |last1=Dai |first1=Keren |last2=Li |first2=Zhiyu |last3=Xu |first3=Qiang |last4=Tomas |first4=Roberto |last5=Li |first5=Tao |last6=Jiang |first6=Liming |last7=Zhang |first7=Jianyong |last8=Yin |first8=Tao |last9=Wang |first9=Hao |date=2023-07-01 |title=Identification and evaluation of the high mountain upper slope potential landslide based on multi-source remote sensing: the Aniangzhai landslide case study |url=https://link.springer.com/article/10.1007/s10346-023-02044-4 |journal=Landslides |language=en |volume=20 |issue=7 |pages=1405–1417 |doi=10.1007/s10346-023-02044-4 |bibcode=2023Lands..20.1405D |hdl=10045/133124 |issn=1612-5118|hdl-access=free }}</ref><ref>{{Cite journal |last1=Yang |first1=Yuchuan |last2=Wang |first2=Xiaobo |last3=Jin |first3=Wei |last4=Cao |first4=Jiayun |last5=Cheng |first5=Baogen |last6=MaosenXiong |last7=Zhou |first7=Shunwen |last8=ChaoZhang |date=2019-10-01 |title=Characteristics analysis of the reservoir landslides base on unmanned aerial vehicle (UAV) scanning technology at the Maoergai Hydropower Station, Southwest China |journal=IOP Conference Series: Earth and Environmental Science |volume=349 |issue=1 |pages=012009 |doi=10.1088/1755-1315/349/1/012009 |bibcode=2019E&ES..349a2009Y |issn=1755-1307|doi-access=free }}</ref> Moreover, processing the optical images captured by UAVs also allows for the creation of [[point cloud]]s and 3D models, from which these properties can be derived.<ref>{{Cite journal |last1=Tomás |first1=Roberto |last2=Pinheiro |first2=Marisa |last3=Pinto |first3=Pedro |last4=Pereira |first4=Eduardo |last5=Miranda |first5=Tiago |date=2023-05-31 |title=Preliminary analysis of the mechanisms, characteristics, and causes of a recent catastrophic structurally controlled rock planar slide in Esposende (northern Portugal) |journal=Landslides |volume=20 |issue=8 |pages=1657–1665 |doi=10.1007/s10346-023-02082-y |bibcode=2023Lands..20.1657T |issn=1612-510X|doi-access=free |hdl=1822/88576 |hdl-access=free }}</ref> Comparing [[point cloud]]s obtained at different times allows for the detection of changes caused by landslide deformation.<ref>{{Cite journal |last1=Zhou |first1=Jiawen |last2=Jiang |first2=Nan |last3=Li |first3=Congjiang |last4=Li |first4=Haibo |date=2024-02-09 |title=A landslide monitoring method using data from unmanned aerial vehicle and terrestrial laser scanning with insufficient and inaccurate ground control points |journal=Journal of Rock Mechanics and Geotechnical Engineering |volume=16 |issue=10 |pages=4125–4140 |doi=10.1016/j.jrmge.2023.12.004 |issn=1674-7755|doi-access=free |bibcode=2024JRMGE..16.4125Z }}</ref><ref>{{Cite journal |last=Peterman |first=V. |date=2015-08-26 |title=Landslide Activity Monitoring with the Help of Unmanned Aerial Vehicle |url=https://isprs-archives.copernicus.org/articles/XL-1-W4/215/2015/ |journal=The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |language=English |volume=XL-1-W4 |pages=215–218 |doi=10.5194/isprsarchives-XL-1-W4-215-2015 |doi-access=free |bibcode=2015ISPAr.XL1..215P |issn=1682-1750}}</ref>