Zobrazeno 1 - 10
of 391
pro vyhledávání: '"airborne laser scanning (ALS)"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 811-821 (2024)
Accurate estimation of forest terrain and canopy height is crucial for timely understanding of forest growth. Gao Fen-7 (GF-7) Satellite is China’s first sub-meter-level three-dimensional (3D) mapping satellite for civilian use, which was equipped
Externí odkaz:
https://doaj.org/article/b672973c7e574a06a3682fff1c4918f8
Publikováno v:
Ecological Indicators, Vol 167, Iss , Pp 112710- (2024)
Canopy cover (CC) is the proportion of a forest floor covered by the vertical projection of tree crowns. Recently, it has become common to utilize LiDAR (light detection and ranging) canopy metrics to estimate CC over large areas. However, these metr
Externí odkaz:
https://doaj.org/article/66eddc41081542e48e47c8155393e058
Autor:
Jannika Schäfer, Lukas Winiwarter, Hannah Weiser, Bernhard Höfle, Sebastian Schmidtlein, Jan Novotný, Grzegorz Krok, Krzysztof Stereńczak, Markus Hollaus, Fabian Ewald Fassnacht
Publikováno v:
European Journal of Remote Sensing (2024)
This study presents a new approach for predicting forest aboveground biomass (AGB) from airborne laser scanning (ALS) data: AGB is predicted from sequences of images depicting vertical cross-sections through the ALS point clouds. A 3D version of the
Externí odkaz:
https://doaj.org/article/0c715b9186594b378347e458a70a5624
Publikováno v:
Geo-spatial Information Science, Pp 1-16 (2024)
Understanding forest health is of great importance for the conservation of the integrity of forest ecosystems. The monitoring of forest health is, therefore, indispensable for the long-term conservation of forests and their sustainable management. In
Externí odkaz:
https://doaj.org/article/e96d0cda7494400889eca613723914ed
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 3, Pp 569-582 (2024)
Abstract Simulating realistic three‐dimensional (3D) forest scenes is useful in understanding the links between forest structure and ecosystem functions (e.g. radiative transfer). Light detection and ranging (LiDAR) technology provides useful 3D da
Externí odkaz:
https://doaj.org/article/829229b7ca9b44fd9c623d45e390bcfe
Autor:
Hunsoo Song, Jinha Jung
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6067-6084 (2024)
This study introduces an automated, open-source workflow for large-scale 2D and 3D building mapping using airborne LiDAR data. Uniquely, our workflow operates entirely unsupervised, eliminating the need for any training procedures. We have integrated
Externí odkaz:
https://doaj.org/article/691d677da33f4ca68e338e00f9e485fe
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2877-2889 (2024)
Semantic segmentation of airborne point clouds is crucial for 3D scene reconstruction and remote sensing in surveying applications. Current deep learning methods for point clouds primarily focus on effectively aggregating local neighborhood informati
Externí odkaz:
https://doaj.org/article/e778398c7d9c4d9e8b148a3043c94315
Publikováno v:
Journal of Water and Land Development, Iss No 59, Pp 135-144 (2024)
The integration of geodetic and photogrammetric data has become a new tool that has expanded the existing measurement capabilities, as well as it found its application outside the geodetic sector. As a result, over the past decades, the process of to
Externí odkaz:
https://doaj.org/article/5a174891bf324783a913b35b20fc7f18
Autor:
Yao Wang, Hongliang Fang
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3078 (2024)
The leaf area index (LAI) is a critical variable for forest ecosystem processes. Passive optical and active LiDAR remote sensing have been used to retrieve LAI. LiDAR data have good penetration to provide vertical structure distribution and deliver t
Externí odkaz:
https://doaj.org/article/10752a6d6739415c88d17235af57ac74
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1804 (2024)
Accurate estimation of above-ground biomass (AGB) in forested areas is essential for studying forest ecological functions, surface carbon cycling, and global carbon balance. Over the past decade, models that harness the distinct features of multi-sou
Externí odkaz:
https://doaj.org/article/6c3a9d7d80a64eddb2a8f79ef09e1ba2