Results 11 to 20 of about 52,203 (247)

Terrestrial and Airborne Lidar to Quantify Shrub Cover for Canada Lynx (Lynx canadensis) Habitat Using Machine Learning

Remote Sensing, 2023
The Canada lynx is listed as a threatened species, and as such, the identification and conservation of lynx habitats is of significant concern. Lynxes require areas with high amounts of horizontal cover made up of ground vegetation. Lidar offers a robust
Jonathan L. Batchelor, Andrew T. Hudak, Peter Gould, L. Monika Moskal   +3 more
doaj   +1 more source

Clear Waters, Stronger Depths: Advancing Bathymetric Lidar Through Community Practices [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The science of mapping beneath the water's surface with lasers is no longer novel, but its relevance has never been greater. Over the past decade, bathymetric lidar has evolved from a niche tool into a diverse ecosystem of sensors and operators, tailored
N. D. Johnson, J. M. Wozencraft, C. L. Macon   +2 more
doaj   +1 more source

UAS Hyperspatial LiDAR Data Performance in Delineation and Classification across a Gradient of Wetland Types

Drones, 2022
Wetlands play a critical role in maintaining stable and productive ecosystems, and they continue to be at heightened risk from anthropogenic and natural degradation, especially along the rapidly developing Atlantic Coastal Plain of North America. As such,
Narcisa Gabriela Pricope, Asami Minei, Joanne Nancie Halls, Cuixian Chen, Yishi Wang   +4 more
doaj   +1 more source

Airborne lidar imaging of salmon [PDF]

Applied Optics, 2004
Lidar images of adult salmon are presented. The lidar system is built around a pulsed green laser and a gated intensified CCD camera. The camera gating is timed to collect light scattered from the turbid water below the fish to produce shadows in the images. Image processing increases the estimated contrast-to-noise ratio from 3.4 in the original image
James H, Churnside, James J, Wilson
openaire   +2 more sources

Intensity Harmonization for Airborne LiDAR [PDF]

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Constructing a point cloud for a large geographic region, such as a state or country, can require multiple years of effort. Often several vendors will be used to acquire LiDAR data, and a single region may be captured by multiple LiDAR scans. A key challenge is maintaining consistency between these scans, which includes point density, number of returns,
Jones, David, Jacobs, Nathan
openaire   +2 more sources

A New Data Processing Method for High-Precision Mining Subsidence Measurement Using Airborne LiDAR

Frontiers in Earth Science, 2022
Coal resources are the principal energy in China, and the surface subsidence caused by coal mining has a serious impact on the safe production and life of human beings.
Yue Dong, Dong Wang, Fengying Liu, Junjie Wang   +3 more
doaj   +1 more source

Is There Deep-Seated Subsidence in the Houston-Galveston Area?

International Journal of Geophysics, 2014
Long-term continuous groundwater level and land subsidence monitoring in the Houston-Galveston area indicates that, during the past two decades (1993–2012), the groundwater head has been increasing and the overall land subsidence rate has been decreasing.
Jiangbo Yu, Guoquan Wang, Timothy J. Kearns, Linqiang Yang   +3 more
doaj   +1 more source

Shiftable Leading Point Method for High Accuracy Registration of Airborne and Terrestrial LiDAR Data

Remote Sensing, 2015
A new automated approach to the high-accuracy registration of airborne and terrestrial LiDAR data is proposed, which has three primary steps. Firstly, airborne and terrestrial LiDAR data are used to extract building corners, known as airborne corners and
Liang Cheng, Lihua Tong, Yang Wu, Yanming Chen, Manchun Li   +4 more
doaj   +1 more source

AN IMPROVED AUTOMATIC POINTWISE SEMANTIC SEGMENTATION OF A 3D URBAN SCENE FROM MOBILE TERRESTRIAL AND AIRBORNE LIDAR POINT CLOUDS: A MACHINE LEARNING APPROACH [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Automatic semantic segmentation of point clouds observed in a 3D complex urban scene is a challenging issue. Semantic segmentation of urban scenes based on machine learning algorithm requires appropriate features to distinguish objects from mobile ...
X.-F. Xing, M. A. Mostafavi, G. Edwards, N. Sabo   +3 more
doaj   +1 more source

Ocean Optical Profiling in South China Sea Using Airborne LiDAR

Remote Sensing, 2019
Increasingly, LiDAR has more and more applications. However, so far, there are no relevant publications on using airborne LiDAR for ocean optical profiling in the South China Sea (SCS). The applicability of airborne LiDAR for optical profiling in the SCS
Peng Chen, Delu Pan
doaj   +1 more source