Results 61 to 70 of about 11,195 (191)

CCTV‐Hyperspectral Imaging for Suspended Sediment Transport (HISST): Proof‐of‐Concept for a Continuous Day‐and‐Night Monitoring Approach

Water Resources Research, Volume 61, Issue 10, October 2025.
Abstract Effective sediment monitoring is crucial for managing dynamic river environments where suspended sediment transport varies over time. However, manual sampling and turbidity sensor‐based methods provide limited spatial coverage and can be labor‐intensive.
Siyoon Kwon, Hyoseob Noh, Il Won Seo, Yun Ho Lee   +3 more
wiley   +1 more source

Hydrocarbon Pollution Detection and Mapping Based on the Combination of Various Hyperspectral Imaging Processing Tools

Remote Sensing, 2021
Oil extraction and transportation may lead to small or large scale accidental spills, whether at sea or on land. Detecting these spills is a major problem that can be addressed by means of hyperspectral images and specific processing methods.
Véronique Achard, Pierre-Yves Foucher, Dominique Dubucq   +2 more
doaj   +1 more source

Exploiting Structural Complexity for Robust and Rapid Hyperspectral Imaging [PDF]

, 2013
This paper presents several strategies for spectral de-noising of hyperspectral images and hypercube reconstruction from a limited number of tomographic measurements.
Aeron, Shuchin, Ely, Gregory, Miller, Eric L.   +2 more
core   +1 more source

Using imaging spectroscopy and elevation in machine learning to estimate soil salinity in intermittently tidal wetlands

Ecosphere, Volume 16, Issue 8, August 2025.
Abstract Coastal soil salinization patterns are changing due to drought, sea level rise (SLR), and changing freshwater inflow. These changes are expected to impact coastal wetland plant health and ecosystem function, such as changes to biomass and productivity.
Germán D. Silva, Dar A. Roberts, Kristin B. Byrd, K. Dana Chadwick, Ian J. Walker, Jennifer Y. King   +5 more
wiley   +1 more source

Combining Observations and Models: A Review of the CARDAMOM Framework for Data‐Constrained Terrestrial Ecosystem Modeling

Global Change Biology, Volume 31, Issue 8, August 2025.
The rapid increase in the volume and variety of terrestrial biosphere observations offers a unique opportunity to derive ecological insights, refine process‐based models, and improve forecasting for decision support. Data assimilation frameworks such as the CARbon DAta MOdel fraMework (CARDAMOM) are specifically designed to take advantage of this rapid
Matthew A. Worden, T. Eren Bilir, A. Anthony Bloom, Jianing Fang, Lily P. Klinek, Alexandra G. Konings, Paul A. Levine, David T. Milodowski, Gregory R. Quetin, T. Luke Smallman, Yinon M. Bar‐On, Renato K. Braghiere, Cédric H. David, Nina A. Fischer, Pierre Gentine, Tim J. Green, Ayanna Jones, Junjie Liu, Marcos Longo, Shuang Ma, Troy S. Magney, Elias C. Massoud, Vasileios Myrgiotis, Alexander J. Norton, Nick Parazoo, Elahe Tajfar, Anna T. Trugman, Mathew Williams, Sarah Worden, Wenli Zhao, Songyan Zhu   +30 more
wiley   +1 more source

Spectral biology across scales in changing environments

Ecology, Volume 106, Issue 7, July 2025.
Abstract Understanding ecosystem processes on our rapidly changing planet requires integration across spatial, temporal, and biological scales. We propose that spectral biology, using tools that enable near‐ to far‐range sensing by capturing the interaction of energy with matter across domains of the electromagnetic spectrum, will increasingly enable ...
Jeannine Cavender‐Bares, Jose Eduardo Meireles, Jesús Pinto‐Ledezma, Peter B. Reich, Meredith C. Schuman, Philip A. Townsend, Amy Trowbridge   +6 more
wiley   +1 more source

An Overview of AVIRIS-NG Airborne Hyperspectral Science Campaign Over India

Current Science, 2019
Bimal K. Bhattacharya*, Robert O. Green, Sadasiva Rao, M. Saxena, Shweta Sharma, K. Ajay Kumar, P. Srinivasulu, Shashikant Sharma, D. Dhar, S. Bandyopadhyay, Shantanu Bhatwadekar and Raj Kumar Space Applications Centre, Indian Space Research Organisation,
B. Bhattacharya, R. Green, S. Rao, Minal Saxena, Shweta Sharma, K. Ajay Kumar, P. Srinivasulu, Shashikant Sharma, D. Dhar, S. Bandyopadhyay, S. Bhatwadekar, Raj Kumar   +11 more
semanticscholar   +1 more source

Automating band selection for hyperspectral indices: bridging AVIRIS-NG and Sentinel-2 satellite data for earth science applications

Frontiers in Earth Science
Hyperspectral data from the Airborne Visible and Infra-Red Imaging Spectrometer – Next-Generation (AVIRIS-NG) offers transformative potential for Earth science research, enabling detailed analysis of land surface processes, resource monitoring, and ...
Veerendra Satya Sylesh Peddinti, Venkata Ravibabu Mandla, Shashi Mesapam, Suresh Kancharla   +3 more
doaj   +1 more source

Controlling Factors on Water and Sediment Partitioning at Deltaic Bifurcations

Journal of Geophysical Research: Earth Surface, Volume 130, Issue 7, July 2025.
Abstract Bifurcations in river‐dominated deltas are the main actors in the routing of water and sediments throughout the fluvial network. In spite of previous acknowledgments of their importance, we still lack a comprehensive framework on how bifurcation geometry affects water and sediment partitioning.
Gabriele Barile, Paola Passalacqua, Siyoon Kwon, Marco Tubino   +3 more
wiley   +1 more source

A PCA and Mesh Adaptation‐Based Format for High Compression of Earth Observation Optical Data With Applications in Agriculture

International Journal for Numerical Methods in Engineering, Volume 126, Issue 12, 30 June 2025.
ABSTRACT Earth Observation optical data are critical for agriculture, supporting tasks like vegetation health monitoring, crop classification, and land use analysis. However, the large size of multispectral and hyperspectral datasets poses challenges for storage, transmission, and processing, particularly in precision farming and resource‐limited ...
Luca Liverotti, Nicola Ferro, Matteo Matteucci, Simona Perotto   +3 more
wiley   +1 more source