Results 171 to 180 of about 4,893 (212)

A comparison of thermal drones and camera trap population estimates for Sitka black‐tailed deer in Alaska

Wildlife Biology, EarlyView.
One of the most difficult challenges for wildlife managers is reliably estimating wildlife populations. Camera traps combined with spatial capture–recapture (SCR) models are a popular tool for population estimation. They have limitations, however, including long data processing times.
Shannon P. Finnegan, Amael Hinojo, Sarah Monod, William A. Wall, Peter Olsen, Maximilian L. Allen   +5 more
wiley   +1 more source

A high‐altitude thermal infrared method for estimating moose abundance and demography in Rocky Mountain National Park, USA

Wildlife Biology, EarlyView.
Resource managers require accurate estimates of large herbivore abundance and demography to maintain ecological integrity. Common methods to count these species, including observations from low altitude helicopter flights, may conflict with other protected area management objectives and struggle to produce precise estimates for more cryptic species. To
Hanem G. Abouelezz, N. Thompson Hobbs
wiley   +1 more source

Seasonal variations and challenges in estimating populations and identifying species of Korean ungulates using drone‐derived thermal orthomosaic maps

Wildlife Biology, EarlyView.
Drones equipped with thermal infrared (TIR) cameras offer significant time and labor savings in estimating wild ungulate populations. However, accurately monitoring forest‐dwelling ungulates remains challenging due to their elusive behavior and complex habitat.
Jinhwi Kim, Donggul Woo
wiley   +1 more source

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A comparison between various definitions of forest stand height and aerodynamic canopy height

Agricultural and Forest Meteorology, 2010
A consistent measure of forest canopy height is required for among-site comparisons of meteorological properties and for comparison of model results such as distributions of wind and other scalars calculated by large eddy simulations with observations.
Akihiro Sumida, Taro Nakai, Toshihiko Hara   +2 more
exaly   +2 more sources

Global patterns and determinants of forest canopy height

Ecology, 2016
AbstractForest canopy height is an important indicator of forest biomass, species diversity, and other ecosystem functions; however, the climatic determinants that underlie its global patterns have not been fully explored. Using satellite LiDAR‐derived forest canopy heights and field measurements of the world's giant trees, combined with climate ...
Shengli, Tao, Qinghua, Guo, Chao, Li, Zhiheng, Wang, Jingyun, Fang   +4 more
openaire   +2 more sources

Height and Biomass Inversion of Winter Wheat Based on Canopy Height Model

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
The aboveground biomass of crops is an important index reflecting the growth status of crops. It is an important reference for achieving precise water and fertilizer management, yield monitoring and prediction. In this paper, the true height of the vegetation relative to the ground is obtained from the data preprocessing, the point cloud filtering and ...
Haikuan Feng, Li Pan, Fan Yang, Haojie Pei, Huifang Wang, Guijun Yang, Mingxing Liu, Zhichao Wu   +7 more
openaire   +1 more source

Using LiDAR to Measure Alfalfa Canopy Height

Transactions of the ASABE, 2021
HighlightsModels using LiDAR measurements and field observations as predictors can accurately predict alfalfa canopy height.The most efficient model used only the 95th percentile of LiDAR-measured height to estimate canopy height.Adding field observations of weed, insect, and disease pressure only marginally improved the predictive models.Abstract ...
S. Tucker Sheffield, Joe Dvorak, Bo Smith, Cynthia Arnold, Cameron Minch   +4 more
openaire   +1 more source

A multiscale morphological algorithm for improvements to canopy height models

Computers & Geosciences, 2019
Abstract Pixels with distinctively lower elevation values than the surrounding pixels in a canopy height model (CHM) e.g. pixels representing a pit, often lead to the underestimation of tree heights. To rectify the underestimation, this paper presents a novel multiscale CHM improvement algorithm.
Li Liu 0042, Samsung Lim, Xuesong Shen, Marta Yebra   +3 more
openaire   +1 more source

Modeling forest canopy heights: The effects of canopy shape

Remote Sensing of Environment, 1997
Abstract Three-dimensional models that represent the top-of-canopy forest height structure were developed to simulate airborne laser profiling responses along forested transects. The simulator which produced these 3-D models constructed individual tree crowns according to a tree's total height, height to first branch, crown diameter, and crown shape (
openaire   +1 more source

Digital Terrain, Surface, and Canopy Height Models From InSAR Backscatter-Height Histograms

IEEE Transactions on Geoscience and Remote Sensing, 2020
This article demonstrates how 3-D vegetation structure can be approximated by interferometric synthetic aperture radar (InSAR) backscatter-height histograms. Single-look backscatter measurements are plotted against the InSAR phase height and are aggregated spatially over a forest patch to form a 3-D histogram, referred to as InSAR backscatter-height ...
Gustavo H. X. Shiroma, Marco Lavalle
openaire   +1 more source