Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3
Constructing multi-source satellite-derived water quality (WQ) products in inland and
nearshore coastal waters from the past, present, and future missions is a long-standing …
nearshore coastal waters from the past, present, and future missions is a long-standing …
Water quality retrieval from landsat-9 (OLI-2) imagery and comparison to sentinel-2
The Landsat series has marked the history of Earth observation by performing the longest
continuous imaging program from space. The recent Landsat-9 carrying Operational Land …
continuous imaging program from space. The recent Landsat-9 carrying Operational Land …
[HTML][HTML] Complementary water quality observations from high and medium resolution Sentinel sensors by aligning chlorophyll-a and turbidity algorithms
High resolution imaging spectrometers are prerequisite to address significant data gaps in
inland optical water quality monitoring. In this work, we provide a data-driven alignment of …
inland optical water quality monitoring. In this work, we provide a data-driven alignment of …
Novel spectra-derived features for empirical retrieval of water quality parameters: Demonstrations for OLI, MSI, and OLCI Sensors
M Niroumand-Jadidi, F Bovolo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The empirical (regression-based) methods for estimation of water quality parameters are
mostly built upon the features derived from the original feature space of optical imagery (eg …
mostly built upon the features derived from the original feature space of optical imagery (eg …
Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach
Consistent, cross-mission retrievals of near-surface concentration of chlorophyll-a (Chla) in
various aquatic ecosystems with broad ranges of trophic levels have long been a complex …
various aquatic ecosystems with broad ranges of trophic levels have long been a complex …
A chlorophyll-a algorithm for Landsat-8 based on mixture density networks
B Smith, N Pahlevan, J Schalles, S Ruberg… - Frontiers in Remote …, 2021 - frontiersin.org
Retrieval of aquatic biogeochemical variables, such as the near-surface concentration of
chlorophyll-a (Chl a) in inland and coastal waters via remote observations, has long been …
chlorophyll-a (Chl a) in inland and coastal waters via remote observations, has long been …
A harmonized image processing workflow using Sentinel-2/MSI and Landsat-8/OLI for mapping water clarity in optically variable lake systems
This study demonstrates the applicability of harmonizing Sentinel-2 MultiSpectral Imager
(MSI) and Landsat-8 Operational Land Imager (OLI) satellite imagery products to enable the …
(MSI) and Landsat-8 Operational Land Imager (OLI) satellite imagery products to enable the …
Performance of deep learning in mapping water quality of Lake Simcoe with long-term Landsat archive
Remote sensing provides full-coverage and dynamic water quality monitoring with high
efficiency and low consumption. Deep learning (DL) has been progressively used in water …
efficiency and low consumption. Deep learning (DL) has been progressively used in water …
Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery
Remote monitoring of chlorophyll-a (chla) has been widely used to evaluate the trophic state
of inland and coastal waters, however, there is still much uncertainty in the algorithms …
of inland and coastal waters, however, there is still much uncertainty in the algorithms …
[HTML][HTML] Leveraging Landsat-8/-9 underfly observations to evaluate consistency in reflectance products over aquatic environments
With an identical design and build, the Operational Land Imager-2 (OLI2) aboard Landsat-9
(L9) complements OLI observations by reducing the global revisit rate of Landsat to 8 days …
(L9) complements OLI observations by reducing the global revisit rate of Landsat to 8 days …