Results 141 to 150 of about 109,853 (338)

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette, Ryan Honeyager, Stephen Joseph Munchak, Xiaoxu Tian   +3 more
wiley   +1 more source

Global Lunar FeO Mapping via Wavelet–Autoencoder Feature Learning from M3 Hyperspectral Data

Mathematics
Accurate global mapping of lunar iron oxide (FeO) abundance is essential for understanding the Moon’s geological evolution and for supporting future in situ resource utilization (ISRU).
Julia Fernández–Díaz, Fernando Sánchez Lasheras, Javier Gracia Rodríguez, Santiago Iglesias Álvarez, Antonio Luis Marqués Sierra, Francisco Javier de Cos Juez   +5 more
doaj   +1 more source

Extracting atmospheric profiles from hyperspectral data using particle filters

, 2012
Dustin Rawlings, Jacob H. Gunther, Todd K. Moon, Gustavious P. Williams   +3 more
openalex   +1 more source

Operational all‐sky assimilation of geostationary infrared water‐vapour channels in the regional ICON‐D2 model with an ensemble Kalman filter

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Though many studies have shown potential benefit in assimilating all‐sky infrared radiances from geostationary satellites, at numerical weather prediction centres it is still common practice to assimilate clear‐sky radiances. We present the operationalization of the all‐sky assimilation of the spinning enhanced visible and infrared imager (SEVIRI ...
Annika Schomburg, Christoph Schraff, Christina Köpken‐Watts, Klaus Stephan, Liselotte Schühl, Robin Faulwetter   +5 more
wiley   +1 more source

Retrieval of Multiple Variables from Hyperspectral Data: A PRISMA-Aligned Systematic Review of Classical Physics-Based Machine Learning and Hybrid Algorithms in Vegetation and Raw Materials Application Domains

Remote Sensing
Hyperspectral (HSI) remote sensing has emerged as a transformative technology for Earth Observation, enabling detailed assessments across different domains.
Andrea Taramelli, Sara Liburdi, Alessandra Nguyen Xuan, Simone Mancon, Serena Sapio, Emiliana Valentini   +5 more
doaj   +1 more source

A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification

, 2023
Mercedes E. Paoletti, Óscar Mogollón Gutiérrez, Sergio Moreno‐Álvarez, José Carlos Sancho Núñez, Juan M. Haut   +4 more
openalex   +1 more source

Control System for the Navigation of the Agricultural Robots: A Review

Journal of Field Robotics, EarlyView.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía, Hugo Rafacho Fernandes, Daniel Albiero, Angel Pontin Garcia   +3 more
wiley   +1 more source

Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images

Remote Sensing in Ecology and Conservation, EarlyView.
Using drone‐based hyperspectral images of mixed temperate successional forests collected over a growing season, detection algorithms were produced for three invasive species of interest, which are not only invasive in Virginia but also much of the U.S.: Ailanthus altissima (tree of heaven), Elaeagnus umbellata (autumn olive), and Rhamnus davurica ...
Kelsey S. Huelsman, Howard E. Epstein, Xi Yang, Roderick Walker   +3 more
wiley   +1 more source

Evaluating lake water quality monitoring using hyperspectral remote sensing and machine learning

Environmental Research Communications
Enhancing lake water quality monitoring is crucial for environmental sustainability and human health. Despite recent advancements, gaps remain in accurately estimating water quality across diverse lake types using remote sensing techniques.
Md Mamun, Xiao Yang
doaj   +1 more source

Hyperspectral spaceborne, airborne and ground measurements campaign on Mt. Etna: multi data acquisitions in the frame of Prisma Mission (ASI-AGI Project n. I/016/11/0)

, 2014
Laura Colini, Claudia Spinetti, Stefania Amici, Maria Fabrizia Buongiorno, T. Caltabiano, Fawzi Doumaz, Massimiliano Favalli, Salvatore Giammanco, Ilaria Isola, Alessandro La Spina, V. Lombardo, Francesco Mazzarini, Massimo Musacchio, Marco Neri, Giuseppe Salerno, Malvina Silvestri, Sergio Teggi, V. Sarli, P. Cafaro, Mancini, Marco, S. D'Andrea, Gabriele Curci, Ananasso, Cristina   +22 more
openalex   +1 more source