Results 41 to 50 of about 21,023 (158)

Incorporating Canopy Cover for Airborne-Derived Assessments of Forest Biomass in the Tropical Forests of Cambodia.

PLoS ONE, 2016
This research examines the role of canopy cover in influencing above ground biomass (AGB) dynamics of an open canopied forest and evaluates the efficacy of individual-based and plot-scale height metrics in predicting AGB variation in the tropical forests
Minerva Singh, Damian Evans, David A Coomes, Daniel A Friess, Boun Suy Tan, Chan Samean Nin   +5 more
doaj   +1 more source

A protocol for canopy cover monitoring on forest restoration projects using low-cost drones

Open Geosciences, 2022
Remotely piloted aircrafts (RPAs) are becoming well-known for monitoring forest restoration (FR). Canopy cover percentage on a restoration site is a major indicator for the early phases of FR. We present a protocol to evaluate canopy cover using low-cost
Albuquerque Rafael Walter, Matsumoto Marcelo Hiromiti, Calmon Miguel, Ferreira Manuel Eduardo, Vieira Daniel Luís Mascia, Grohmann Carlos Henrique   +5 more
doaj   +1 more source

A Comparison of Machine Learning and Geostatistical Approaches for Mapping Forest Canopy Height over the Southeastern US Using ICESat-2

Remote Sensing, 2022
The availability of canopy height information in the Ice, Cloud, and Land Elevation Satellite-2’s (ICESat-2’s) land and vegetation product, or ATL08, presents opportunities for developing full-coverage products over broad spatial scales. The primary goal
Kasip Tiwari, Lana L. Narine
doaj   +1 more source

Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation

Estimating global tree canopy height is crucial for forest conservation and climate change applications. However, capturing high-resolution ground truth canopy height using LiDAR is expensive and not available globally. An efficient alternative is to train a canopy height estimator to operate on single-view remotely sensed imagery. The primary obstacle
Daniele Rege Cambrin, Isaac Corley, Paolo Garza   +2 more
openaire   +3 more sources

The role of leaf height in plant competition for sunlight: analysis of a canopy partitioning model

Mathematical Biosciences and Engineering, 2008
A global method of nullcline endpoint analysis is employed to determine the outcome of competition for sunlight between two hypothetical plant species with clonal growth form that differ solely in the height at which they place their leaves above the ground.
Andrew L. Nevai, Richard R. Vance
openaire   +3 more sources

The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data

Remote Sensing, 2018
Canopy height is an important forest structure parameter for understanding forest ecosystem and improving global carbon stock quantification accuracy.
Shichao Jin, Yanjun Su, Shang Gao, Tianyu Hu, Jin Liu, Qinghua Guo   +5 more
doaj   +1 more source

Applicability of high-resolution global canopy height maps to biodiversity modelling

52nd Annual Meeting GfÖ 2023, 2023
Funded by the European Union. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
openaire   +2 more sources

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation
Tree canopy height is a key indicator of forest biomass, productivity and structure, yet measuring it accurately at regional or larger scales, whether from the ground or remotely, remains challenging.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
doaj   +1 more source

Accurate Estimation of Forest Canopy Height Based on GEDI Transmitted Deconvolution Waveforms

Remote Sensing
Accurate estimation of the forest canopy height is crucial in monitoring the global carbon cycle and evaluating progress toward carbon neutrality goals.
Longtao Cai, Jun Wu, Inthasone Somsack, Xuemei Zhao, Jiasheng He   +4 more
doaj   +1 more source

Influence of voxel size on forest canopy height estimates using full-waveform airborne LiDAR data

Forest Ecosystems, 2020
Background Forest canopy height is a key forest structure parameter. Precisely estimating forest canopy height is vital to improve forest management and ecological modelling.
Cheng Wang, Shezhou Luo, Xiaohuan Xi, Sheng Nie, Dan Ma, Youju Huang   +5 more
doaj   +1 more source