Results 211 to 220 of about 6,292,229 (390)

Quantifying aboveground herbaceous biomass in grassy ecosystems: a comparison of field and high‐resolution UAV‐LiDAR approaches

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
The abundance of herbaceous vegetation in grassy ecosystems—which cover >25% of the world's land surface—is highly variable and impacts key ecological processes including carbon sequestration and support for grazing wildlife and livestock. Here, we present a method for using high‐resolution, UAV‐borne Light Detection and Ranging (LiDAR) to estimate ...
Tyler C. Coverdale   +3 more
wiley   +1 more source

Correction: UAV-based multispectral image analysis revealed stay-green haplotypes in wheat specific for different soil nitrogen levels. [PDF]

open access: yesBMC Plant Biol
Behn H   +9 more
europepmc   +1 more source

ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that ECOSTRESS lands surface temperature (LST) data are sensitive to forest thinning, regional drought, and their interaction. Consistent with high‐resolution UAV images, ECOSTRESS LST data indicate thinned forest had significantly greater temperature across years.
Temuulen Tsagaan Sankey   +9 more
wiley   +1 more source

UAV-based multispectral image analysis revealed stay-green haplotypes in wheat specific for different soil nitrogen levels. [PDF]

open access: yesBMC Plant Biol
Behn H   +9 more
europepmc   +1 more source

Daytime Multilayered Cloud Detection Using Multispectral Imager Data [PDF]

open access: bronze, 2004
Shaima L. Nasiri, Bryan A. Baum
openalex   +1 more source

Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard   +9 more
wiley   +1 more source

Breaking down seagrass fragmentation in a marine heatwave impacted World Heritage Area

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Habitat fragmentation can exacerbate the impacts of habitat loss but is rarely quantified in marine environments. Using satellite‐derived habitat maps, we identify widespread seagrass fragmentation following a marine heatwave that contributed to a dramatic shift in seascape structure in the Shark Bay World Heritage Area.
Michael D. Taylor   +4 more
wiley   +1 more source

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