Results 21 to 30 of about 567 (129)

Exploring the Potential of a Normalized Hotspot Index in Supporting the Monitoring of Active Volcanoes Through Sea and Land Surface Temperature Radiometer Shortwave Infrared (SLSTR SWIR) Data [PDF]

open access: yesSensors
Every year about fifty volcanoes erupt on average, posing a serious threat for populations living in the neighboring areas. To mitigate the volcanic risk, many satellite monitoring systems have been developed.
Alfredo Falconieri   +8 more
doaj   +3 more sources

Validation of SLSTR Sea Surface Temperature (SST) with Global Ships4sst L2R Data

open access: yesRemote Sensing
SST data derived from multi-spectral infrared measurements made by the SLSTR instruments onboard the Copernicus Sentinel-3 satellites are considered reference measurements based on the design features of the SLSTR instrument. This means that regular long-
Werenfrid Wimmer   +7 more
doaj   +2 more sources

Volcanic cloud detection using Sentinel-3 satellite data by means of neural networks: the Raikoke 2019 eruption test case [PDF]

open access: yesAtmospheric Measurement Techniques, 2022
Accurate automatic volcanic cloud detection by means of satellite data is a challenging task and is of great concern for both the scientific community and aviation stakeholders due to well-known issues generated by strong eruption events in relation to ...
I. Petracca   +11 more
doaj   +1 more source

Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system [PDF]

open access: yesAtmospheric Chemistry and Physics, 2022
The Copernicus Atmosphere Monitoring Service (CAMS) provides near-real-time forecast and reanalysis of aerosols using the ECMWF Integrated Forecasting System with atmospheric composition extension, constrained by the assimilation of MODIS and the Polar ...
S. Garrigues   +18 more
doaj   +1 more source

Volcanic ash detection and retrievals using SLSTR: test case: 2019 Raikoke eruption [PDF]

open access: yes, 2021
When an eruption event occurs it is necessary to accurately and rapidly determine the position and evolution during time of the volcanic cloud and its parameters (such as Aerosol Optical Depth-AOD, effective radius-Re and mass-Ma of the ash particles ...
Matteo Picchiani   +9 more
core   +1 more source

Global Sensitivity Analysis of the SCOPE Model in Sentinel-3 Bands: Thermal Domain Focus

open access: yesRemote Sensing, 2019
Sentinel-3 satellite has provided simultaneous observations in the optical (visible, near infrared (NIR), shortwave infrared (SWIR)) and thermal infrared (TIR) domains since 2016, with a revisit time of 1−2 days.
Egor Prikaziuk, Christiaan van der Tol
doaj   +1 more source

Actual Evapotranspiration Estimation Using Sentinel-1 SAR and Sentinel-3 SLSTR Data Combined with a Gradient Boosting Machine Model in Busia County, Western Kenya

open access: yesAtmosphere, 2022
Kenya is dominated by a rainfed agricultural economy. Recurrent droughts influence food security. Remotely sensed data can provide high-resolution results when coupled with a suitable machine learning algorithm.
Peter K. Musyimi   +4 more
doaj   +1 more source

Applicazioni Copernicus a scala locale per il monitoraggio delle acque di balneazione

open access: yesGEOmedia, 2019
TEMAR is a collaborative research project, aimed at the research, development and testing of an innovative service for monitoring and mitigating the risk of pollution of bathing water, of potential interest for a vast use.
Giacomo Martirano, Vittorio Gagliardi
doaj   +3 more sources

Bayesian Cloud Detection over Land for Climate Data Records

open access: yesRemote Sensing, 2022
Cloud detection is a necessary step in the generation of land surface temperature (LST) climate data records (CDRs) and affects data quality and uncertainty.
Claire E. Bulgin   +3 more
doaj   +1 more source

Validation of Sentinel-3A SLSTR derived Sea-Surface Skin Temperatures with those of the shipborne M-AERI

open access: yes, 2020
The Skin Sea-Surface Temperature (SSTskin) derived from satellite measurements is one of the critical factors for determining ocean-atmosphere interactions in climate prediction and ocean research.
Kilpatrick, Katherine   +4 more
core   +1 more source

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