Results 171 to 180 of about 35,627 (298)

A Full-Spectrum Registration Method for Zhuhai-1 Satellite Hyperspectral Imagery. [PDF]

Sensors (Basel), 2020
Meng J, Wu J, Lu L, Li Q, Zhang Q, Feng S, Yan J.   +6 more
europepmc   +1 more source

Spectral characterization of plant diversity in a biodiversity‐enriched oil palm plantation

Remote Sensing in Ecology and Conservation, EarlyView.
How well can airborne imaging spectroscopy detect plant diversity in vertically complex agroforestry systems? We tested this in a biodiversity‐enriched oil palm plantation in Sumatra, Indonesia, using high‐resolution hyperspectral data. We calculated spectral alpha and beta diversity and compared them to field‐based plant diversity.
Vannesa Montoya‐Sánchez, Anna K. Schweiger, Michael Schlund, Gustavo Brant Paterno, Stefan Erasmi, Holger Kreft, Dirk Hölscher, Fabian Brambach, Bambang Irawan, Leti Sundawati, Delphine Clara Zemp   +10 more
wiley   +1 more source

Exploring the Potential of HySpex Hyperspectral Imagery for Extraction of Copper Content. [PDF]

Sensors (Basel), 2020
Jiang G, Zhou S, Cui S, Chen T, Wang J, Chen X, Liao S, Zhou K.   +7 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

A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network. [PDF]

PLoS Comput Biol, 2021
Weinstein BG, Graves SJ, Marconi S, Singh A, Zare A, Stewart D, Bohlman SA, White EP.   +7 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

Prediction and mapping of leaf water content in Populus alba var. pyramidalis using hyperspectral imagery. [PDF]

Plant Methods
Li ZK, Li HL, Gong XW, Wang HF, Hao GY.
europepmc   +1 more source

New Hybrid Nanocomposite Films for Optical Diagnostics and Optical Temperature Sensing: Synergy Among α‐Synuclein, Gold and Upconverting Nanoparticles

Small, EarlyView.
Gold and upconverting nanoparticles coated with alpha‐synuclein were exploited to produce a quasi‐monolayer hybrid film. The film was then characterized, and its behaviour as a primary optical nano‐thermometer was studied. The film was also used in a proof‐of‐concept study of image‐based optical nanothermometry exploiting a home‐built up‐conversion ...
Emil Milan, Roberto Tira, Chiara Cressoni, Federico Antonio Giacomazzi, Patrizia Canton, Michael Assfalg, Adolfo Speghini   +6 more
wiley   +1 more source

Ultra-high-resolution hyperspectral imagery datasets for precision agriculture applications. [PDF]

Data Brief
Munipalle VK, Nelakuditi UR, C V S S MK, Nidamanuri RR.   +3 more
europepmc   +1 more source

A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan, Siyu Wu, Chang Su, Nan Xiang, Zhijie Xu, Yushan Pan   +5 more
wiley   +1 more source