Zobrazeno 1 - 10
of 454
pro vyhledávání: '"UAV-LiDAR"'
Publikováno v:
Reports on Geodesy and Geoinformatics, Vol 118, Iss 1, Pp 92-100 (2024)
Unmanned Aerial Vehicle (UAV) technology in conjunction with aerial photography and aerial Light Detection and Ranging (LiDAR) was used for topographic surveying of the Win 3 Wind Power Project area, a complex mountainous terrain situated in the Huon
Externí odkaz:
https://doaj.org/article/54a9786fc4584979967ba51a08bd57b0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The traditional airborne LiDAR point clouds vehicle recognition algorithms only utilize the contained geometric information and are not sufficient to recognize vehicles accurately, especially in complex urban scenes. And their applicability
Externí odkaz:
https://doaj.org/article/433f5fce9b2c417c8460baa6ccf4610f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract We present an open access dataset for development, evaluation, and comparison of algorithms for individual tree detection in dense mixed forests. The dataset consists of a detailed field inventory and overlapping UAV LiDAR and RGB orthophoto
Externí odkaz:
https://doaj.org/article/b27a082fb1544e2a8854647c881fd625
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 10, Iss 4, Pp 448-462 (2024)
Abstract Remotely sensed measures of vegetation structure have been shown to explain patterns in the occurrence and diversity of several animal taxa, including birds, mammals, and invertebrates. However, very little research in this area has focused
Externí odkaz:
https://doaj.org/article/20d6164ab11e4c4d81ccbe444ae13f22
Autor:
Bolin Fu, Linhang Jiang, Hang Yao, Yingying Wei, Mingming Jia, Weiwei Sun, Yanli Yang, Tengfang Deng
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Mangroves are vital coastal ecosystems that provide crucial links between land and sea. Tree height is a key indicator for assessing mangroves’ health status. Currently, there are still numerous challenges in estimating mangrove tree height. In thi
Externí odkaz:
https://doaj.org/article/5eaf83dc5a3d4c96b81a3bc96f39254f
Autor:
Jinjin Chen, Xuejian Li, Zihao Huang, Jie Xuan, Chao Chen, Mengchen Hu, Cheng Tan, Yongxia Zhou, Yinyin Zhao, Jiacong Yu, Lei Huang, Meixuan Song, Huaqiang Du
Publikováno v:
Geo-spatial Information Science, Pp 1-21 (2024)
The assessment of ecological functions, such as those of forest structure zoning and carbon sinks, heavily relies on forest age classification. Therefore, monitoring forest age is a crucial element of forest resource surveys. With the increased avail
Externí odkaz:
https://doaj.org/article/9ad3d823a9bf43be8e4b944bc883851d
Autor:
Yanfei Li, Maud Henrion, Angus Moore, Sébastien Lambot, Sophie Opfergelt, Veerle Vanacker, François Jonard, Kristof Van Oost
Publikováno v:
Geoderma, Vol 449, Iss , Pp 117009- (2024)
Peatlands store a large amount of carbon. However, peatlands are complex ecosystems, and acquiring reliable estimates of how much carbon is stored underneath the Earth’s surface is inherently challenging, even at small scales. Here, we aim to estab
Externí odkaz:
https://doaj.org/article/8c1684c0ae7944c19127abb7acaf19cc
Publikováno v:
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 10, Iss 1, Pp 1-15 (2024)
Abstract Ground subsidence in Western coal mining areas is characterized by rapid deformation, extensive damage, and a wide range of impacts. The conventional observation methods are inappropriate for surface damage monitoring in high-intensity minin
Externí odkaz:
https://doaj.org/article/bc6d9756674947d48fad9a8b468513eb
Publikováno v:
Sensors, Vol 24, Iss 21, p 7071 (2024)
Eucalyptus is a widely planted species in plantation forests because of its outstanding characteristics, such as fast growth rate and high adaptability. Accurate and rapid prediction of Eucalyptus biomass is important for plantation forest management
Externí odkaz:
https://doaj.org/article/a07f740e29f34474af46bee055276ab3
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103928- (2024)
Within this study, we present a pioneering cross-platform point cloud registration (PCR) framework aimed at the automated alignment of UAV and terrestrial forest LiDAR point clouds. This framework leverages canopy profile skyline (CPS) descriptors an
Externí odkaz:
https://doaj.org/article/278e200892114e5ab24a047475bced9d