Results 131 to 140 of about 8,883 (219)

Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Overview of key research challenges in forest disturbance monitoring, including the detection of disturbances of varying severity, the attribution of disturbance agents, and the development of models capable of generalizing across regions. ABSTRACT Climate change and land use pressures are intensifying forest disturbances in many world regions, as ...
Carolina Natel, Christoph Molnar, Ricardo Dalagnol, Peer Nowack   +3 more
wiley   +1 more source

Lithological information extraction and classification in hyperspectral remote sensing data using Backpropagation Neural Network. [PDF]

PLoS One, 2021
Wang Z, Tian S.
europepmc   +1 more source

Multi‐Species Constraints Resolve Methane Source Versus Sink Changes: Lessons From 2020

Earth's Future, Volume 14, Issue 6, June 2026.
Abstract Satellite observations show that atmospheric methane (CH4) increased by a record‐breaking 19 ppb in 2020, but the causes are unclear because of uncertain impacts from COVID‐related pollutant shifts on hydroxyl (OH) radical concentrations. Here we employ an ensemble of constraints to simultaneously quantify methane sources and sinks for 2020 in
Xueying Yu, Dylan B. Millet, Daven K. Henze, Helen Worden, Corinne Vigouroux, Prabir Patra, Jason D. Hill, Robert B. Jackson   +7 more
wiley   +1 more source

Identification of Bamboo Species Based on Extreme Gradient Boosting (XGBoost) Using Zhuhai-1 Orbita Hyperspectral Remote Sensing Imagery. [PDF]

Sensors (Basel), 2022
Zhou G, Ni Z, Zhao Y, Luan J.
europepmc   +1 more source

Potential of VIS‐IR imaging spectroscopy and SEM‐EDS and EMPA to map the mineralogical composition of NWA 7317 (CR6)

Meteoritics &Planetary Science, Volume 61, Issue 6, Page 1026-1044, June 2026.
Abstract Asteroid compositional analysis relies on comparing reflectance spectra with laboratory data from well‐characterized meteorites. To advance this comparison, we performed a comprehensive laboratory analysis on a slab of the Northwest Africa (NWA) 7317—CR6 carbonaceous chondrite.
Simone Pascucci, Tiberio Cuppone, Martina Casalini, Simone De Angelis, Antonio Lettino, Angelo Palombo, Eliana La Francesca, Gianrico Filacchione, Maria Cristina De Sanctis, Anna Galiano, Giovanni Pratesi   +10 more
wiley   +1 more source

A Refined Rotation Forest-Based Ensemble Classifier for Lithological Mapping with ZY1-02D Hyperspectral Remote Sensing Imagery. [PDF]

Sensors (Basel)
Xi J, Gao H, Zang W, Zhao X, Liu M, Li B.   +5 more
europepmc   +1 more source

Hyperspectral Remote Sensing [PDF]

, 2012
openaire   +1 more source

Monitoring Atmospheric Ammonia From Geostationary Orbit: Contributions of GIIRS‐B and IRS Remote Sensors

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 10, 28 May 2026.
Abstract Ammonia (NH3) is a short‐lived atmospheric pollutant with significant environmental and health impacts. Monitoring NH3 remains challenging, as diurnal variability at local scales is still poorly documented. In this study, we analyze two years (July 2022–June 2024) of NH3 total columns from the Geostationary Interferometric Infrared Sounder ...
Nadir Guendouz, Camille Viatte, Zhao‐Cheng Zeng, Anne Boynard, Sarah Safieddine, Carsten Standfuss, Solène Turquety, Martin Van Damme, Lieven Clarisse, Pierre Coheur, Mengya Sheng, Raymond Armante, Pascal Prunet, Cathy Clerbaux   +13 more
wiley   +1 more source

HyperHazeOff: Hyperspectral Remote Sensing Image Dehazing Benchmark. [PDF]

J Imaging
Nikonorov A, Sidorchuk D, Odinets N, Volkov V, Sarycheva A, Dudenko E, Zhidkov M, Nikolaev D.   +7 more
europepmc   +1 more source

Assessment of Polymer Atmospheric Correction Algorithm for Hyperspectral Remote Sensing Imagery over Coastal Waters. [PDF]

Sensors (Basel), 2021
Soppa MA, Silva B, Steinmetz F, Keith D, Scheffler D, Bohn N, Bracher A.   +6 more
europepmc   +1 more source