Results 51 to 60 of about 11,195 (191)

Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space [PDF]

Atmospheric Measurement Techniques, 2019
We examine the potential for global detection of methane plumes from individual point sources with the new generation of spaceborne imaging spectrometers (EnMAP, PRISMA, EMIT, SBG, CHIME) scheduled for launch in 2019–2025.
D. H. Cusworth, D. H. Cusworth, D. J. Jacob, D. J. Varon, D. J. Varon, C. Chan Miller, X. Liu, K. Chance, A. K. Thorpe, R. M. Duren, C. E. Miller, D. R. Thompson, C. Frankenberg, C. Frankenberg, L. Guanter, C. A. Randles   +15 more
doaj   +1 more source

A New Search Algorithm for Feature Selection in Hyperspectral Remote Sensing Images [PDF]

, 2001
A new suboptimal search strategy suitable for feature selection in very high-dimensional remote-sensing images (e.g. those acquired by hyperspectral sensors) is proposed.
Bruzzone, Lorenzo, Serpico, Sebastiano B.   +1 more
core   +2 more sources

Mixing Patterns of River Deltas Obtained From Remotely Sensed Rouse Number

Journal of Geophysical Research: Earth Surface, Volume 130, Issue 12, December 2025.
Abstract River deltas have complex vertical sediment dynamics within their distributary channel networks. These dynamics suggest that remotely sensed suspended sediment concentration (SSC), which captures surface conditions, is insufficient for investigating delta mixing.
Siyoon Kwon, Paola Passalacqua, Justin A. Nghiem, Michael P. Lamb   +3 more
wiley   +1 more source

Employing Machine Learning for Detection of Invasive Species using Sentinel-2 and AVIRIS Data: The Case of Kudzu in the United States

Sustainability, 2020
Invasive plants are causing massive economic and environmental troubles for our societies worldwide. The aim of this study is to employ a set of machine learning classifiers for detecting invasive plant species using remote sensing data.
Tobias Jensen, Frederik Seerup Hass, Mohammad Seam Akbar, Philip Holm Petersen, Jamal Jokar Arsanjani   +4 more
semanticscholar   +1 more source

Monitoring the Impacts of Severe Drought on Southern California Chaparral Species using Hyperspectral and Thermal Infrared Imagery

Remote Sensing, 2015
Airborne hyperspectral and thermal infrared imagery acquired in 2013 and 2014, the second and third years of a severe drought in California, were used to assess drought impacts on dominant plant species.
Austin R. Coates, Philip E. Dennison, Dar A. Roberts, Keely L. Roth   +3 more
doaj   +1 more source

Optimized kernel minimum noise fraction transformation for hyperspectral image classification [PDF]

, 2017
This paper presents an optimized kernel minimum noise fraction transformation (OKMNF) for feature extraction of hyperspectral imagery. The proposed approach is based on the kernel minimum noise fraction (KMNF) transformation, which is a nonlinear ...
Gao, Lianru, Jia, Xiuping, Liao, Wenzhi, Zhang, Bing, Zhao, Bin   +4 more
core   +2 more sources

Parameter Estimation in Land Surface Models: Challenges and Opportunities With Data Assimilation and Machine Learning

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 11, November 2025.
Abstract Accurately predicting terrestrial ecosystem responses to climate change over long‐timescales is crucial for addressing global challenges. This relies on mechanistic modeling of ecosystem processes through land surface models (LSMs). Despite their importance, LSMs face significant uncertainties due to poorly constrained parameters, especially ...
Nina Raoult, Natalie Douglas, Natasha MacBean, Jana Kolassa, Tristan Quaife, Andrew G. Roberts, Rosie Fisher, Istem Fer, Cédric Bacour, Katherine Dagon, Linnia Hawkins, Nuno Carvalhais, Elizabeth Cooper, Michael C. Dietze, Pierre Gentine, Thomas Kaminski, Daniel Kennedy, Hannah M. Liddy, David J. P. Moore, Philippe Peylin, Ewan Pinnington, Benjamin Sanderson, Marko Scholze, Christian Seiler, T. Luke Smallman, Noemi Vergopolan, Toni Viskari, Mathew Williams, John Zobitz   +28 more
wiley   +1 more source

Use of Imaging Spectroscopy for Mapping and Quantifying the Weathering Degree of Tropical Soils in Central Brazil

Applied and Environmental Soil Science, 2011
The purpose of this study was to test the feasibility of applying AVIRIS sensor (Airborne Visible/InfraRed Imaging Spectrometer) for mapping and quantifying mineralogical components of three Brazilian soils, a reddish Oxisol in São João D'Aliança area ...
Gustavo M. M. Baptista, Rodrigo S. Corrêa, Perseu F. dos Santos, José S. Madeira Netto, Paulo R. Meneses   +4 more
doaj   +1 more source

Imaging Spectroscopy for Enhancing Regional Coastal Wetland Extent Monitoring

Journal of Geophysical Research: Biogeosciences, Volume 130, Issue 10, October 2025.
Abstract Coastal wetland habitats contribute to important ecosystem services, including improved water quality, carbon sequestration, and flood mitigation, but they are difficult to be monitored in situ due to their inaccessibility. This research aims to explore the potential and limitation of monitoring coastal wetland habitats in the Greater Cape ...
Pati Thakali, Anthony Campbell, Elhadi Adam   +2 more
wiley   +1 more source

Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery [PDF]

, 2009
This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Alfred O. Hero, Jean-yves Tourneret, Martial Coulon, Nicolas Dobigeon, Saïd Moussaoui, Senior Member   +5 more
core   +9 more sources