Results 111 to 120 of about 56,702 (212)

A Short Survey of Hyperspectral Remote Sensing and Hyperspectral Remote Sensing Research At TUBITAK UZAY

, 2015
Hyperspectral remote sensing (HSRS) is becoming more and more attractive. Recent advances in sensor technologies enabled numerous applications of this imaging modality. HSRS research has been conducted at TUBITAK UZAY since 2012. This paper provides a short survey of these research and development activities ranging from hyperspectral remote sensing ...
Sakarya, Ufuk, Teke, Mustafa, Demirkesen, Can, Haliloglu, Onur, Kozal, Ali Omer, Deveci, Husne Seda, Oztoprak, A. Feray, Toreyin, Behcet Ugur, Gurbuz, Sevgi Zubeyde   +8 more
openaire   +2 more sources

Duo‐AttnOPNets: Advancing Global Operational Forecasting for Atmospheric Carbon Monoxide With AI‐Empowered 4D‐Var

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 2, February 2026.
Abstract The accuracy of global forecasting of atmospheric composition is essential for protecting public health and advancing climate research. Carbon monoxide (CO), a key pollutant with indirect greenhouse effects, requires timely and accurate prediction.
Judongyang Zhou, Fangxin Fang, Christopher C. Pain, Linfeng Li, Jie Zheng, Yanghua Wang, Ionel Michael Navon, Jiang Zhu   +7 more
wiley   +1 more source

Biology, Detection, and Management of Lecanosticta acicola: Emerging Challenges for the Management of Brown Spot Needle Blight in Pine Forests

Forest Pathology, Volume 56, Issue 1, February 2026.
ABSTRACT Brown spot needle blight (BSNB), caused by the fungus Lecanosticta acicola, is a widely distributed foliar disease of pines that causes needle necrosis, premature defoliation, and growth loss in both natural forests and commercial plantations. Although L.
Gabriel Silva, Temitope R. Folorunso, Andrea Miranda Paez, Gina F. Lamka, Swati Singh, Jaden King, Lydia Henderson, Micah Persyn, Tabeth Mwema, Tess Lindow, Negar Amiri, Lori Eckhardt, Lana Narine, Janna R. Willoughby   +13 more
wiley   +1 more source

Community‐driven variations in snow algae color modulate snow albedo reduction

New Phytologist, Volume 249, Issue 4, Page 1739-1752, February 2026.
Summary Snow algae blooms visibly alter snow color and surface energy balance, yet the biological basis of this variability remains unclear. We investigated how pigment composition and community structure shape the optical properties of snow algae blooms of distinct colors – red, orange, and green – co‐occurring within the same snowfield in Glacier ...
Pablo Almela, James J. Elser, Anthony Zmuda, Thomas Niehaus, Trinity L. Hamilton   +4 more
wiley   +1 more source

Superpixel-Guided Matrix-Valued Kernel Functions for Multiscale Nonlinear Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing is a critical challenge in the analysis of hyperspectral remote sensing data. Due to the complex interactions between incident light and materials, which are significantly influenced by the three-dimensional geometry of the scene ...
Xiu Zhao, Meiping Song
doaj   +1 more source

Lightweight 3D Dense Autoencoder Network for Hyperspectral Remote Sensing Image Classification. [PDF]

Sensors (Basel), 2023
Bai Y, Sun X, Ji Y, Fu W, Duan X.
europepmc   +1 more source

AVIRIS‐3 Rapid Response to January 2025 Los Angeles Wildfires

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Wildfires in wildland‐urban interfaces (WUIs) are a growing concern due to their devastating impact on human communities and ecosystems. Low‐latency impact assessment is critical for wildfire response, yet immediate access to fire‐affected communities can be limited.
Megan Ward‐Baranyay, Red Willow Coleman, Mark Wronkiewicz, Francisco Ochoa, Daniel Sousa, Ceth W. Parker, David R. Thompson, Clayton D. Elder, Gregory S. Okin, K. Dana Chadwick, Kimberley Miner, John Chapman, Regina Eckert, Daniel Jensen, Robert O. Green, Philip G. Brodrick   +15 more
wiley   +1 more source

SpectralMAE: Spectral Masked Autoencoder for Hyperspectral Remote Sensing Image Reconstruction. [PDF]

Sensors (Basel), 2023
Zhu L, Wu J, Biao W, Liao Y, Gu D.
europepmc   +1 more source

Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument Development. [PDF]

Sensors (Basel), 2023
Wang J, Wu W, Tian S, He Y, Huang Y, Wang F, Zhang Y.   +6 more
europepmc   +1 more source

Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing. [PDF]

Plant Methods, 2023
Qamar F, Dobler G.
europepmc   +1 more source