Results 41 to 50 of about 1,049 (144)
Geostationary meteorological satellites provide precipitation estimates with a high spatio-temporal resolution, which is important for near real-time precipitation monitoring.
Jongmin Park (1377153) +2 more
core +1 more source
New sensors benchmark report on Kompsat-3 [PDF]
The following document has been drawn up as a follow up to the Quality Control Record L [i] on the commissioning phase of the Kompsat-3 imagery, planned benchmarking tests as well as the methodology used in the tests.
VAJSOVÁ Blanka +4 more
core +1 more source
GEO-KOMPSAT-2A/2B AMI/GOCI-II/GEMS Data & Products [PDF]
Two geostationary satellites developed by the Korea Aerospace Research Institute and currently in operation are the GEO-KOMPSAT-2A (GK-2A) and the GEO-KOMPSAT-2B (GK-2B).
Sungsik Huh, Kyoung-Wook Jin
doaj +1 more source
On-Orbit Performance of KOMPSAT-2 Attitude & Orbit Control System [PDF]
KOMPSAT-2 is the second Korean earth observation satellite after KOMPSAT-1: the 1 meter GSD cartographic capability and it launched in the end of July of 2006 by ROKOT launch vehicle.
Rhee, Seung-Wu, Lee, Joo-Jin
core +1 more source
Illegal building construction can be a problematic issue on densely populated metropolitan cities, especially because it leads to crooked civilization and unbalanced urban structure.
Beril Varol +4 more
doaj +1 more source
Object-Based Classification of Multi-temporal Images for Agricultural Crop Mapping in Karacabey Plain, Turkey [PDF]
The objective of this research is to classify major crop types cultivated in Karacabey Plain of north western Turkey using multitemporal Kompsat-2 and Envisat ASAR data with an object-based methodology.
A. Ozdarici-Ok, Z. Akyurek
doaj +1 more source
Comprehensive Analysis of Bias in TEMPO NO<sub>2</sub> Column Densities Through Pandora Observations. [PDF]
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.
Ghahremanloo M +10 more
europepmc +2 more sources
Abstract This study explores the relative impact of two orbital configurations for Global Navigation Satellite System radio occultation (RO) observations in numerical weather prediction using observing system simulation experiments (OSSE). Three experiments are carried out: a Control experiment with no RO observations and two experiments with 14,000 RO
Nikki C. Privé +6 more
wiley +1 more source
Abstract Global Navigation Satellite System (GNSS) airborne radio occultation (ARO) observations, collected during Atmospheric River Reconnaissance (AR Recon) campaigns, enhance AR sampling beyond traditional dropsondes. Assimilating ARO bending angles requires a forward operator accounting for ARO geometry and proper integration in a data assimilation
Ivette Hernández Baños +5 more
wiley +1 more source
Implementation of the Deep Blue Aerosol Algorithm on Geostationary Satellite Data
Abstract National Aeronautics and Space Administration's Deep Blue (DB) aerosol project aims to produce consistent, long‐term climate data records of atmospheric aerosol properties using satellite observations. The DB algorithm has been extensively applied to low Earth orbit (LEO) sensors, including the Moderate Resolution Imaging Spectroradiometer and
Seoyoung Lee +5 more
wiley +1 more source

