Results 41 to 50 of about 52,927 (253)

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

All-Fiber Airborne Coherent Doppler Lidar to Measure Wind Profiles

EPJ Web of Conferences, 2016
An all-fiber airborne pulsed coherent Doppler lidar (CDL) prototype at 1.54μm is developed to measure wind profiles in the lower troposphere layer. The all-fiber single frequency pulsed laser is operated with pulse energy of 300μJ, pulse width of 400ns ...
Liu Jiqiao, Zhu Xiaopeng, Diao Weifeng, Zhang Xin, Liu Yuan, Bi Decang, Jiang Liyuan, Shi Wei, Zhu Xiaolei, Chen Weibiao   +9 more
doaj   +1 more source

OVERVIEW OF CHINESE AND AMERICAN MARINE AIRBORNE LIDAR [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
As one of the most popular surveillance technologies in the 21st century, Lidar is applied in commercial, military and civilian applications. paper mainly introduces the development process of Chinese and American marine lidar detection technology ...
Y. Z. Tan, Y. Z. Tan, G. Q. Zhou, X. Zhou, X. Zhou, X. Zhou, J. D. Wei, J. D. Wei, J. L. Chen, J. L. Chen, H. C. Hu, H. C. Hu   +11 more
doaj   +1 more source

Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions

Ecography, EarlyView.
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile, Maximilian Pichler, Francesco Valerio, Lorenzo Balducci, Francesco Chianucci, Sérgio Godinho, Francesco Rota, Frédéric Archaux, Christophe Bouget, Gediminas Brazaitis, Thomas Campagnaro, Ettore D'Andrea, Luc De Keersmaeker, Wouter Dekoninck, Pallieter De Smedt, Zoltán Elek, Itziar García‐ Mijangos, Frédéric Gosselin, Marion Gosselin, Andrin Gross, Elena Haeler, Sebastian Kepfer‐ Rojas, Nathalie Korboulewsky, Daniel Kozák, Thibault Lachat, Carlos Miguel Landivar Albis, Anja Leyman, Xiang Liu, Anders Mårell, Radim Matula, Martin Mikoláš, Péter Ódor, Yoan Paillet, Kastytis Šimkevičius, Tommaso Sitzia, Silvia Stofer, Nicolas Strebel, Miroslav Svoboda, Flóra Tinya, Mariana Ujházyová, Kris Vandekerkhove, Kris Verheyen, Michael Wohlwend, Fotios Xystrakis, Sabina Burrascano   +44 more
wiley   +1 more source

Airborne LiDAR Intensity Correction Based on a New Method for Incidence Angle Correction for Improving Land-Cover Classification

Remote Sensing, 2021
Light detection and range (LiDAR) intensity is an important feature describing the characteristics of a target. The direct use of original intensity values has limitations for users, because the same objects may have different spectra, while different ...
Qiong Wu, Ruofei Zhong, Pinliang Dong, You Mo, Yunxiang Jin   +4 more
doaj   +1 more source

What does airborne LiDAR really measure in upland ecosystems? [PDF]

, 2015
Copyright © 2014 John Wiley & Sons, Ltd.Airborne laser scanning systems (Light Detection And Ranging, LiDAR) are very well suited to the study of landscape and vegetation structure over large extents.
Aguilar, Anderson, Anderson, Backshall, Bain, Barber, Barbier, Belyea, Beven, Beven, Charman, Chassereau, Clawges, Danson, Emanuel, Espindola, Evans, Fisher, Fisher, Grand-Clement, Harris, Hinsley, Hodgson, Holden, Holden, Hutton, Ivanov, Jenson, Jones, Kincey, Korpela, Lane, Li, Lindsay, Mitchell, Moore, Rango, Rothwell, Strahler, Streutker, Taylor, Turnbull, Vierling, Watt, Wise, Zimble   +45 more
core   +1 more source

Evaluating Erosional Stability of Reconstructed Mine Landscapes Using Landform Evolution Models: Parameterisation and Decadal‐Scale Erosion Assessment

Land Degradation &Development, EarlyView.
ABSTRACT Ensuring the long‐term erosional stability of post‐mining landforms remains a major challenge in open‐pit mining. Reconstructed landscapes must support the agreed post‐mining land use, such as cattle grazing in the Hunter region of southeastern Australia, requiring stable pasture and minimal soil loss.
I. P. Senanayake, G. R. Hancock
wiley   +1 more source

A Fusion Approach to Detect Traffic Signs Using Registered Color Images and Noisy Airborne LiDAR Data

Applied Sciences, 2020
Traffic sign detection is considered as one of the active research topics in transportation and computer vision. The previous works mainly focus on detecting traffic signs in images or in mobile light detection and ranging (LiDAR) data. In this paper, we
Mohammadreza Javanmardi, Ziqi Song, Xiaojun Qi   +2 more
doaj   +1 more source

DENOISING OF 3D POINT CLOUDS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
A method to remove random errors from 3D point clouds is proposed. It is based on the estimation of a local geometric descriptor of each point. For mobile mapping LiDAR and airborne LiDAR, a combined standard mesurement uncertainty of the LiDAR system ...
E. Mugner, N. Seube
doaj   +1 more source

Airborne lidar estimates of photosynthesis profiles [PDF]

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
The rate of photosynthesis in the ocean depends on the concentration of chlorophyll in the water, the light level, and the water temperature. The depth profile of chlorophyll concentration can be estimated by airborne backscatter lidar. Both the attenuation of a lidar pulse and the volume backscattering coefficient depend on chlorophyll concentration ...
openaire   +1 more source