Results 11 to 20 of about 567 (129)

Inland Water Atmospheric Correction Based on Turbidity Classification Using OLCI and SLSTR Synergistic Observations

open access: yesRemote Sensing, 2018
Atmospheric correction is an essential prerequisite for obtaining accurate inland water color information. An inland water atmospheric correction algorithm, ACbTC (Atmospheric Correction based on Turbidity Classification), was proposed in this study by ...
Yunmei Li, Shun Bi, Shaohua Lei
exaly   +4 more sources

Comparison of SLSTR Thermal Emissive Bands Clear-Sky Measurements with Those of Geostationary Imagers

open access: yesRemote Sensing, 2020
The Sentinel-3 series satellites belong to the European Earth Observation satellite missions for supporting oceanography, land, and atmospheric studies.
Peter J Minnett, Bingkun Luo
exaly   +4 more sources

The retrieval of snow properties from SLSTR Sentinel-3 – Part 2: Results and validation [PDF]

open access: yesThe Cryosphere, 2021
To evaluate the performance of the eXtensible Bremen Aerosol/cloud and surfacE parameters Retrieval (XBAER) algorithm, presented in the Part 1 companion paper to this paper, we apply the XBAER algorithm to the Sea and Land Surface Temperature Radiometer (
L. Mei   +5 more
doaj   +5 more sources

Sentinel-3 SLSTR active fire (AF) detection and FRP daytime product - Algorithm description and global intercomparison to MODIS, VIIRS and landsat AF data [PDF]

open access: yesScience of Remote Sensing, 2023
The Sea and Land Surface Temperature Radiometer (SLSTR) senses the Earth from onboard two concurrently operating European Copernicus Sentinel-3 (S3) satellites.
Weidong Xu, Martin J. Wooster
doaj   +2 more sources

Quantification of Gas Flaring from Satellite Imagery: A Comparison of Two Methods for SLSTR and BIROS Imagery

open access: yesJournal of Imaging, 2023
Gas flaring is an environmental problem of local, regional and global concerns. Gas flares emit pollutants and greenhouse gases, yet knowledge about the source strength is limited due to disparate reporting approaches in different geographies, whenever ...
Alexandre Caseiro
exaly   +3 more sources

Synergistic Use of the SRAL/MWR and SLSTR Sensors on Board Sentinel-3 for the Wet Tropospheric Correction Retrieval

open access: yesRemote Sensing, 2022
The Sentinel-3 satellites are equipped with dual-band Microwave Radiometers (MWR) to derive the wet tropospheric correction (WTC) for satellite altimetry.
Pedro Aguiar   +3 more
doaj   +2 more sources

Aerosol Optical Thickness Retrieval in Presence of Cloud: Application to S3A/SLSTR Observations

open access: yesAtmosphere, 2022
The Combined Inversion of Surface and AeRosols (CISAR) algorithm for the joint retrieval of surface and aerosol single scattering properties has been further developed in order to extend the retrieval to clouds and overcome the need for an external cloud
Marta Luffarelli   +2 more
doaj   +2 more sources

Crop Yield Estimation Using Sentinel-3 SLSTR, Soil Data, and Topographic Features Combined with Machine Learning Modeling: A Case Study of Nepal

open access: yesAgriEngineering, 2023
Effective crop monitoring and accurate yield estimation are fundamental for informed decision-making in agricultural management. In this context, the present research focuses on estimating wheat yield in Nepal at the district level by combining Sentinel ...
Ghada Sahbeni   +2 more
exaly   +3 more sources

Estimation of Land Surface Temperature Over the Tibetan Plateau Based on Sentinel-3 SLSTR Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Land surface temperature (LST) plays a crucial role in the energy and water cycles of the Earth's climate system. The uncertainty of LST retrieval from satellites is a fundamental and long-standing issue, especially in plateau areas [such as the ...
Yuting Qi   +5 more
doaj   +2 more sources

A cloud identification algorithm over the Arctic for use with AATSR–SLSTR measurements [PDF]

open access: yesAtmospheric Measurement Techniques, 2019
The accurate identification of the presence of cloud in the ground scenes observed by remote-sensing satellites is an end in itself. The lack of knowledge of cloud at high latitudes increases the error and uncertainty in the evaluation and assessment of ...
S. Jafariserajehlou   +5 more
doaj   +4 more sources

Home - About - Disclaimer - Privacy