Results 61 to 70 of about 458 (205)
Geophysical Research Letters, Volume 52, Issue 23, 16 December 2025.Abstract The detection of atmospheric turbulence, particularly near deep convection, are essential for flight safety and efficiency. Geostationary satellites provide continuous coverage where radar is unavailable, but their lack of vertical information limits detection to upper levels.
Yoonjin Lee +2 more
wiley +1 more source
SYSTEMATIC GEOMETRIC IMAGE ERRORS OF VERY HIGH RESOLUTION OPTICAL SATELLITES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Very high resolution optical satellites are imaging the object space by a combination of CCD-lines in one direction and by time, speed and satellite rotation in the other direction.
K. Jacobsen
doaj +1 more source
A distributed space radar sounder using a cross-track flying tethered satellite system [PDF]
The objective of this paper is to analyze the performance of two possible architectures of tethered satellite systems, used as a platform for a distributed radar sounder. The first architecture consists in a cross-track oriented tethered satellite system,
Aliberti, Stefano +2 more
core +1 more source
InSAR as a tool for monitoring hydropower projects: A review [PDF]
, 2022 This paper provides a review of using Interferometric Synthetic Aperture Radar (InSAR), a microwave remote sensing technique, for deformation monitoring of hydroelectric power projects, a critical infrastructure that requires consistent and reliable ...
Aswathi, J. +4 more
core +1 more source
Sub‐Seasonal Impact of GNSS Radio Occultation Data
Geophysical Research Letters, Volume 52, Issue 21, 16 November 2025.Abstract This study investigates for the first time whether the assimilation of the Global Navigation Satellite System Radio occultation (GNSS‐RO) data has a significant impact on the European Centre for Medium‐Range Weather Forecasts sub‐seasonal forecasts.
K. Lonitz +3 more
wiley +1 more source
Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges
, 2023 The deep learning, which is a dominating technique in artificial intelligence, has completely changed the image understanding over the past decade. As a consequence, the sea ice extraction (SIE) problem has reached a new era.
Guo, Wenyue +7 more
core
Evaluation of Machine Learning Algorithms for Lake Ice Classification from Optical Remote Sensing Data [PDF]
, 2020 The topic of lake ice cover mapping from satellite remote sensing data has gained interest in recent years since it allows the extent of lake ice and the dynamics of ice phenology over large areas to be monitored.
Wu, Yuhao
core
Comprehensive Analysis of Bias in TEMPO NO2 Column Densities Through Pandora Observations
Journal of Geophysical Research: Atmospheres, Volume 130, Issue 15, 16 August 2025.Abstract Tropospheric Emissions: Monitoring of Pollution (TEMPO) is the first geostationary satellite instrument to monitor air pollutants across North America. This study uses Pandora observations to analyze the bias in TEMPO Level‐3 total column density of NO2 (TOTNO2) from August 2023 to December 2024.
Masoud Ghahremanloo +10 more
wiley +1 more source
Remote SensingThis study conducted multi-sensor image classification by utilizing Google Earth Engine (GEE) and applying satellite imagery from Korean Multi-purpose Satellite 3 (KOMPSAT-3), KOMPSAT-5 SAR, Compact Advanced Satellite 500-1 (CAS500-1), Sentinel-1, and ...
Jeonghee Lee, Kwangseob Kim, Kiwon Lee
doaj +1 more source
Multi-Global Navigation Satellite System for Earth Observation: Recent Developments and New Progress [PDF]
The Global Navigation Satellite System (GNSS) has made important progress in Earth observation and applications. With the successful design of the BeiDou Navigation Satellite System (BDS), four global navigation satellite systems are available ...
Gino Dardanelli +3 more
core +1 more source