Results 141 to 150 of about 8,406 (209)

Mapping NAT‐Containing Polar Stratospheric Clouds in the Antarctic Stratosphere Using Nadir Infrared Radiance Observations

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 4, 28 February 2026.
Abstract Polar stratospheric clouds (PSCs) play a key role in the formation of the Antarctic ozone hole. Here, we report the first observations of the most abundant PSC composition class, NAT‐containing mixtures (one of whose components is nitric acid trihydrate, NAT, particles), from measurements of a passive nadir‐viewing sounder, the Infrared ...
Manon Hermans, Lieven Clarisse, Catherine Wespes, Cathy Clerbaux, Pierre Coheur   +4 more
wiley   +1 more source

Design and Construction of UAV-Based Measurement System for Water Hyperspectral Remote-Sensing Reflectance. [PDF]

Sensors (Basel)
Zeng H, He X, Bai Y, Gong F, Wang D, Zhang X.   +5 more
europepmc   +1 more source

First Aircraft‐Based VOC Measurements Using Thermal Infrared Remote Sensing: Mapping Fire Plumes With the Scanning High‐Resolution Interferometer Sounder (S‐HIS)

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 4, 28 February 2026.
Abstract Wildfires emit volatile organic compounds (VOCs) that contribute to ozone and aerosol pollution. Quantification is challenged by the diversity of emitted species and by their complex dependence on fire characteristics, with scarce field observations available for model evaluation.
Chengyuan Hu, Dylan B. Millet, Kelley C. Wells, Jared F. Brewer, Julieta F. Juncosa Calahorrano, Vivienne H. Payne, Joe K. Taylor, David C. Tobin   +7 more
wiley   +1 more source

Early feature study of Yunnan pine pinewood nematode disease based on hyperspectral remote sensing of ground objects. [PDF]

Sci Rep
Zhang X, Gao Y, Fu L, Zhang Y, Li Z, Shu Q.   +5 more
europepmc   +1 more source

Estimation of Soil Arsenic Content with Hyperspectral Remote Sensing. [PDF]

Sensors (Basel), 2020
Wei L, Pu H, Wang Z, Yuan Z, Yan X, Cao L.   +5 more
europepmc   +1 more source

A new band selection framework for hyperspectral remote sensing image classification. [PDF]

Sci Rep
Phaneendra Kumar BLN, Vaddi R, Manoharan P, Agilandeeswari L, Sangeetha V.   +4 more
europepmc   +1 more source

High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learning. [PDF]

Innovation (Camb)
Hu J, Peng D, Chen JM, Huete AR, Yu L, Lou Z, Cheng E, Yang X, Zhang B.   +8 more
europepmc   +1 more source

Adoption of Machine Learning in Intelligent Terrain Classification of Hyperspectral Remote Sensing Images. [PDF]

Comput Intell Neurosci, 2020
Li Y, Wang J, Gao T, Sun Q, Zhang L, Tang M.   +5 more
europepmc   +1 more source

Inversion Method for Chlorophyll-a Concentration in High-Salinity Water Based on Hyperspectral Remote Sensing Data. [PDF]

Sensors (Basel)
Wang N, Wang Z, Huang P, Zhai Y, Yang X, Su J.   +5 more
europepmc   +1 more source

Estimation of potato canopy leaf water content in various growth stages using UAV hyperspectral remote sensing and machine learning. [PDF]

Front Plant Sci
Guo F, Feng Q, Yang S, Yang W.
europepmc   +1 more source