Results 171 to 180 of about 107,679 (337)

Sparsity Constrained Distributed Unmixing of Hyperspectral Data [PDF]

, 2019
Sara Khoshsokhan, Roozbeh Rajabi, Hadi Zayyani   +2 more
openalex   +1 more source

A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification

, 2023
Mercedes E. Paoletti, Óscar Mogollón Gutiérrez, Sergio Moreno‐Álvarez, José Carlos Sancho Núñez, Juan M. Haut   +4 more
openalex   +1 more source

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

Remote 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, Peter B. Boucher, Jenia Singh, Andrew B. Davies   +3 more
wiley   +1 more source

Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning. [PDF]

Int J Appl Earth Obs Geoinf, 2022
Döpper V, Rocha AD, Berger K, Gränzig T, Verrelst J, Kleinschmit B, Förster M.   +6 more
europepmc   +1 more source

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

Remote 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, Thu Ya Kyaw, Julia Tatum, George W. Koch, Thomas Kolb, Rayni Lewis, Helen M. Poulos, Andrew M. Barton, Blase LaSala, Andrea Thode   +9 more
wiley   +1 more source

Transforming hyperspectral data into insight: the DREAM approach for pathology. [PDF]

Biomed Opt Express
Hong M, Koo DES, Junge J, Fraser SE, Cutrale F.   +4 more
europepmc   +1 more source

Sorting biotic and abiotic stresses on wild rocket by leaf-image hyperspectral data mining with an artificial intelligence model. [PDF]

Plant Methods, 2022
Navarro A, Nicastro N, Costa C, Pentangelo A, Cardarelli M, Ortenzi L, Pallottino F, Cardi T, Pane C.   +8 more
europepmc   +1 more source

Generation of Sub-Pixel-Level Maps for Mixed Pixels in Hyperspectral Image Data

, 2021
Prem Kumar, Somdatta Chakravortty
openalex   +1 more source

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

Remote 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, Birgit Heim, Ulrike Herzschuh, Viktor Dinkel, Glenn Juday, Santosh Panda, Nicola Falco, Jacob Schladebach, Jakob Broers, Stefan Kruse   +9 more
wiley   +1 more source

A Model for Identifying the Fermentation Degree of Tieguanyin Oolong Tea Based on RGB Image and Hyperspectral Data. [PDF]

Foods
Huang Y, Chen Y, Li C, Wang T, Zheng C, Zhao J.   +5 more
europepmc   +1 more source