Results 121 to 130 of about 23,100 (259)
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
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
Hyperspectral image (HSI) classification faces challenges such as high dimensionality, spectral redundancy, and difficulty in modeling the coupling between spectral and spatial features.
Deren Fu, Yiliang Zeng, Jiahong Zhao
doaj +1 more source
Spectral characterization of plant diversity in a biodiversity‐enriched oil palm plantation
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 +10 more
wiley +1 more source
Hyperspectral Band Selection via Tensor Low Rankness and Generalized 3DTV
Hyperspectral band selection plays a key role in reducing the high dimensionality of data while maintaining essential details. However, existing band selection methods often encounter challenges, such as high memory consumption, the need for data ...
Katherine Henneberger, Jing Qin
doaj +1 more source
Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images
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 +3 more
wiley +1 more source
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 +6 more
wiley +1 more source
A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification
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 +5 more
wiley +1 more source
ABSTRACT Surface discharge is a typical fault type in electric power equipment. High temperature in long‐term operation can easily lead to ageing of materials, resulting in changes in surface characteristics and surface discharge faults. In this paper, a method of surface discharge identification of silicon rubber (SiR) based on spectral detection ...
Yanze Han +6 more
wiley +1 more source
Abstract Soils that contain swelling clay minerals (e.g., montmorillonite) expand and contract during wetting and drying, causing movement within the soil profile. This process, known as argilliturbation, can alter artefact distributions, destroy stratigraphy and complicate the interpretation of archaeological deposits.
Caroline Mather +11 more
wiley +1 more source

