Results 151 to 160 of about 36,270 (292)

Deep learning-based framework for the distinction of membranous nephropathy: a new approach through hyperspectral imagery. [PDF]

BMC Nephrol, 2021
Tu T, Wei X, Yang Y, Zhang N, Li W, Tu X, Li W.   +6 more
europepmc   +1 more source

Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images

Remote Sensing in Ecology and Conservation, EarlyView.
Using drone‐based hyperspectral images of mixed temperate successional forests collected over a growing season, detection algorithms were produced for three invasive species of interest, which are not only invasive in Virginia but also much of the U.S.: Ailanthus altissima (tree of heaven), Elaeagnus umbellata (autumn olive), and Rhamnus davurica ...
Kelsey S. Huelsman, Howard E. Epstein, Xi Yang, Roderick Walker   +3 more
wiley   +1 more source

Hyperspectral Imagery for Assessing Laser-Induced Thermal State Change in Liver. [PDF]

Sensors (Basel), 2021
De Landro M, Espíritu García-Molina I, Barberio M, Felli E, Agnus V, Pizzicannella M, Diana M, Zappa E, Saccomandi P.   +8 more
europepmc   +1 more source

Modelling forest dynamics using integral projection models and repeat lidar

Remote Sensing in Ecology and Conservation, EarlyView.
Forests are facing increasing pressure from climate change and disturbance, yet linking individual tree trajectories to whole‐forest outcomes remains a major challenge. Our study integrates repeat airborne lidar with an Integral Projection Model to analyse demographic processes at the landscape scale.
Alice Rosen, Robin Battison, Christina M. Hernández, Oliver G. Spacey, Jessica McLean, Suzanne M. Prober, Samuel J. L. Gascoigne, Sean McMahon, Tommaso Jucker, Roberto Salguero‐Gómez   +9 more
wiley   +1 more source

Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature. [PDF]

Plant Phenomics, 2021
Wang J, Wu B, Kohnen MV, Lin D, Yang C, Wang X, Qiang A, Liu W, Kang J, Li H, Shen J, Yao T, Su J, Li B, Gu L.   +14 more
europepmc   +1 more source

Hyperspectral species maps and LiDAR‐based structured population models show future forest fire frequency may compromise forest resilience

Remote Sensing in Ecology and Conservation, EarlyView.
Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean, Tommaso Jucker, Alice Rosen, Sean M. McMahon, Roberto Salguero‐Gómez   +4 more
wiley   +1 more source

SICEM: A Generation Approach of Band Combination for Hyperspectral Imagery Reconstitution Based on Space and Information Analyses. [PDF]

Comput Intell Neurosci, 2021
Chen N, Lu K, Zhou H.
europepmc   +1 more source

Scale dependence in remotely sensed biodiversity: Leveraging continental‐scale imaging spectroscopy from the National Ecological Observatory Network

Remote Sensing in Ecology and Conservation, EarlyView.
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden, Matthew W. Rossi, Laura E. Dee, Kyle Kovach, Cibele H. Amaral, Jacob Nesslage, Madeline Slimp, Rachel S. Meyer, E. Natasha Stavros   +8 more
wiley   +1 more source

Author Correction: Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast. [PDF]

Sci Rep, 2021
Clarke K, Hennessy A, McGrath A, Daly R, Gaylard S, Turner A, Cameron J, Lewis M, Fernandes MB.   +8 more
europepmc   +1 more source

Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs

Remote Sensing in Ecology and Conservation, EarlyView.
High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin, Han‐Yang Yeh, Zhi‐Cheng Huang   +2 more
wiley   +1 more source