Results 71 to 80 of about 57,543 (231)

Distributed Unmixing of Hyperspectral Data With Sparsity Constraint

, 2017
Spectral unmixing (SU) is a data processing problem in hyperspectral remote sensing. The significant challenge in the SU problem is how to identify endmembers and their weights, accurately. For estimation of signature and fractional abundance matrices in
Khoshsokhan, Sara, Rajabi, Roozbeh, Zayyani, Hadi   +2 more
core   +2 more sources

Weaving for action: Transformative change in biodiversity monitoring

People and Nature, EarlyView.
Abstract The Post‐2020 Kunming‐Montreal Biodiversity Framework aims to drive transformative change to halt biodiversity loss. To track progress toward its goals and targets, a dedicated monitoring framework has been established. The current biodiversity monitoring framework relies on a set of indicators developed through a unidirectional process of ...
Carol X. Garzon‐Lopez, Laura M. Bellis, Camilo Castillo, Tahani Nadim, Duccio Rocchini, Koenraad Van Meerbeek, Hakon Stokland, Esther Turnhout, Margaret Gold, Anne Beaulieu   +9 more
wiley   +1 more source

Self- and Cross-Attention Enhanced Transformer for Visible and Thermal Infrared Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Visible hyperspectral image (V-HSI) and thermal infrared hyperspectral image (TI-HSI) have been crucial data sources for land cover classification. V-HSI can directly provide information of land surface, such as shape, color, texture, and other features.
Enyu Zhao, Yongfang Su, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng   +5 more
doaj   +1 more source

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette, Ryan Honeyager, Stephen Joseph Munchak, Xiaoxu Tian   +3 more
wiley   +1 more source

Combined Retrieval of Oil Film Thickness Using Hyperspectral and Thermal Infrared Remote Sensing

Remote Sensing, 2023
An outdoor experiment was conducted to measure the thickness of oil films (0~3000 μm) using an airborne hyperspectral imager and thermal infrared imager, and the spectral response and thermal response of oil films of different thicknesses were analyzed ...
Junfang Yang, Yabin Hu, Yi Ma, Meiqi Wang, Ning Zhang, Zhongwei Li, Jie Zhang   +6 more
doaj   +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

Quantitative mapping and spectroscopic characterization of particulate organic matter fractions in soil profiles with imaging VisNIR spectroscopy

Scientific Reports, 2021
Organic matter is an important constituent of soils that controls many soil functions and is of vital importance for ecosystem services like climate regulation and food security.
Markus Steffens, Lilli Zeh, Derek M. Rogge, Henning Buddenbaum   +3 more
doaj   +1 more source

Dynamical spectral unmixing of multitemporal hyperspectral images

, 2015
In this paper, we consider the problem of unmixing a time series of hyperspectral images. We propose a dynamical model based on linear mixing processes at each time instant.
Chanussot, Jocelyn, Henrot, Simon, Jutten, Christian   +2 more
core   +3 more sources

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

TEBS: Temperature–Emissivity–Driven band selection for thermal infrared hyperspectral image classification with structured State-Space model and gated attention

International Journal of Applied Earth Observations and Geoinformation
Thermal infrared hyperspectral images (TIR-HSIs) provide unique spectral insights that are often unattainable with visible imagery, making them invaluable for applications such as land cover classification and geological mapping.
Enyu Zhao, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng   +4 more
doaj   +1 more source