Results 51 to 60 of about 8,406 (209)

Mid‐Infrared Integrated Photonics: Material Platforms and Emerging Applications

Laser &Photonics Reviews, EarlyView.
Mid‐infrared (MIR) integrated photonics enables advanced chemical and biological sensing through the unique absorption features of molecules in the 2–20 µm range. This review highlights recent material advances such as chalcogenide glasses, silicon, and graphene and explores MIR applications in environmental monitoring, medical diagnostics ...
Muhammad Ali Butt, Daniel Pastor Abellán, Ryszard Piramidowicz   +2 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

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

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

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

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

A Hyperspectral Imaging Approach to White Matter Hyperintensities Detection in Brain Magnetic Resonance Images

Remote Sensing, 2017
White matter hyperintensities (WMHs) are closely related to various geriatric disorders including cerebrovascular diseases, cardiovascular diseases, dementia, and psychiatric disorders of elderly people, and can be generally detected on T2 weighted (T2W)
Hsian-Min Chen, Hsin Che Wang, Jyh-Wen Chai, Chi-Chang Clayton Chen, Bai Xue, Lin Wang, Chunyan Yu, Yulei Wang, Meiping Song, Chein-I Chang   +9 more
doaj   +1 more source

A fuzzy spectral clustering algorithm for hyperspectral image classification

IET Image Processing, 2021
Spectral clustering is an unsupervised clustering algorithm, and is widely used in the field of pattern recognition and computer vision due to its good clustering performance.
Kang Li, Jindong Xu, Tianyu Zhao, Zhaowei Liu   +3 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

Spectral-Spatial Collaborative Pretraining Framework With Multiconstraint Cooperation for Hyperspectral–Multispectral Image Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fusing low-resolution hyperspectral images (HSI) with high-resolution multispectral images (MSI) has become a promising technique for generating high-resolution HSI, effectively addressing the low spatial resolution limitations of hyperspectral data ...
Jia Jia, Haoyang Yu, Chengjun Wang, Ke Zheng, Jiaxin Li, Jiaochan Hu   +5 more
doaj   +1 more source