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A Combined Algorithm for Soil and Vegetation Temperatures with SLSTR Dual-Angle Data
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Because of noises from land surface temperature (LST) inversion and different spatial resolution between nadir and oblique views, we proposed a combined algorithm for soil and vegetation temperatures with Sea and Land Surface Temperature Radiometer (SLSTR) data, in which a Bayesian strategy was adopted and retrieval results from a multi-pixel algorithm
Zunjian Bian +5 more
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Comparison of Sentinel-3 Slstr Sst Product with Shipboard Skin Sst Measurements
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Sea surface temperature (SST) is an important indicator for climate change. Nowadays many sensors in orbit have the capacity of SST observations. Long-term climate data record of global SST requires satellite SST products with high accuracy and stability.
Liqin Qu, Lei Guan, Minglun Yang
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A Machine Learning Approach to Cloud Masking in Sentinel-3 SLSTR Data
2020<p><span>Clouds appear ubiquitously in the Earth's atmosphere, and thus present a persistent problem for the accurate retrieval of remotely sensed information. The task of identifying which pixels are cloud, and which are not, is what we refer as the cloud masking problem. The task of cloud masking essentially boils
Samuel Jackson +2 more
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Sentinel-3 OLCI and SLSTR simulated spectral response functions
2012Pelloquin, Camille, Nieke, Jens
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Validation of SLSTR SST with global ships4sst L2R data
Werenfrid Wimmer +7 moreopenaire +1 more source