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Validity of the Landsat surface reflectance archive for aquatic science: Implications for cloud‐based analysis

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2017sw001669openalex-snapshot
Measures of Model Performance Based On the Log Accuracy Ratio
inferredcites →https://doi.org/10.1002/lno.10341openalex-snapshot
Optical backscattering by particles in Arctic seawater and relationships to particle mass concentration, size distribution, and bulk composition
inferredcites →https://doi.org/10.1002/lno.10674openalex-snapshot
Optical types of inland and coastal waters
inferredcites →https://doi.org/10.1016/j.isprsjprs.2021.10.009openalex-snapshot
Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods
inferredcites →https://doi.org/10.1016/j.jag.2021.102457openalex-snapshot
Water clarity changes in Lake Taihu over 36 years based on Landsat TM and OLI observations
inferredcites →https://doi.org/10.1016/j.rse.2014.08.001openalex-snapshot
On-orbit radiometric characterization of OLI (Landsat-8) for applications in aquatic remote sensing
inferredcites →https://doi.org/10.1016/j.rse.2015.02.001openalex-snapshot
Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions
inferredcites →https://doi.org/10.1016/j.rse.2015.08.030openalex-snapshot
Evaluation of the Landsat-5 TM and Landsat-7 ETM+ surface reflectance products
inferredcites →https://doi.org/10.1016/j.rse.2015.12.024openalex-snapshot
Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity
inferredcites →https://doi.org/10.1016/j.rse.2016.04.008openalex-snapshot
Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product
inferredcites →https://doi.org/10.1016/j.rse.2017.06.031openalex-snapshot
Google Earth Engine: Planetary-scale geospatial analysis for everyone
inferredcites →https://doi.org/10.1016/j.rse.2019.01.023openalex-snapshot
Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity
inferredcites →https://doi.org/10.1016/j.rse.2019.02.016openalex-snapshot
Benefits of the free and open Landsat data policy
inferredcites →https://doi.org/10.1016/j.rse.2019.03.010openalex-snapshot
Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives
inferredcites →https://doi.org/10.1016/j.rse.2019.04.021openalex-snapshot
Chlorophyll algorithms for ocean color sensors - OC4, OC5 & OC6
inferredcites →https://doi.org/10.1016/j.rse.2020.111968openalex-snapshot
Landsat 9: Empowering open science and applications through continuity
inferredcites →https://doi.org/10.1016/j.rse.2021.112366openalex-snapshot
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters
inferredcites →https://doi.org/10.1016/j.rse.2021.112860openalex-snapshot
Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3
inferredcites →https://doi.org/10.1016/j.rse.2022.113057openalex-snapshot
Eutrophication state in the Eastern China based on Landsat 35-year observations
inferredcites →https://doi.org/10.1016/j.rse.2022.113195openalex-snapshot
Fifty years of Landsat science and impacts
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.162168openalex-snapshot
Increase in chlorophyll-a concentration in Lake Taihu from 1984 to 2021 based on Landsat observations
inferredcites →https://doi.org/10.1016/j.watres.2022.118241openalex-snapshot
Water clarity mapping of global lakes using a novel hybrid deep-learning-based recurrent model with Landsat OLI images
inferredcites →https://doi.org/10.1029/2019wr024883openalex-snapshot
AquaSat: A Data Set to Enable Remote Sensing of Water Quality for Inland Waters
inferredcites →https://doi.org/10.1029/97jd01496openalex-snapshot
Passive remote sensing of tropospheric aerosol and atmospheric correction for the aerosol effect
inferredcites →https://doi.org/10.1038/s41561-021-00887-xopenalex-snapshot
Global mapping reveals increase in lacustrine algal blooms over the past decade
inferredcites →https://doi.org/10.1038/s41586-019-1648-7openalex-snapshot
Widespread global increase in intense lake phytoplankton blooms since the 1980s
inferredcites →https://doi.org/10.1038/s41597-023-01973-yopenalex-snapshot
GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality
inferredcites →https://doi.org/10.1080/15481603.2022.2116102openalex-snapshot
Improving remote sensing estimation of Secchi disk depth for global lakes and reservoirs using machine learning methods
inferredcites →https://doi.org/10.1080/22797254.2018.1457937openalex-snapshot
Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters
inferredcites →https://doi.org/10.1088/1748-9326/abf002openalex-snapshot
Multi-decadal improvement in US Lake water clarity
inferredcites →https://doi.org/10.1109/tgrs.2012.2228007openalex-snapshot
Applications of Spectral Band Adjustment Factors (SBAF) for Cross-Calibration
inferredcites →https://doi.org/10.1117/1.jrs.9.096070openalex-snapshot
Ocean color measurements with the Operational Land Imager on Landsat-8: implementation and evaluation in SeaDAS
inferredcites →https://doi.org/10.1364/ao.38.007442openalex-snapshot
Estimation of the remote-sensing reflectance from above-surface measurements
inferredcites →https://doi.org/10.1364/oe.26.007404openalex-snapshot
Performance metrics for the assessment of satellite data products: an ocean color case study
inferredcites →https://doi.org/10.3133/ofr20131057openalex-snapshot
Landsat ecosystem disturbance adaptive processing system (LEDAPS) algorithm description
inferredcites →https://doi.org/10.3390/rs10091337openalex-snapshot
Toward Long-Term Aquatic Science Products from Heritage Landsat Missions
inferredcites →https://doi.org/10.3390/rs10091340openalex-snapshot
Observations and Recommendations for the Calibration of Landsat 8 OLI and Sentinel 2 MSI for Improved Data Interoperability
inferredcites →https://doi.org/10.3390/rs10091363openalex-snapshot
Analysis Ready Data: Enabling Analysis of the Landsat Archive
inferredcites →https://doi.org/10.3390/rs11040469openalex-snapshot
Analyzing Performances of Different Atmospheric Correction Techniques for Landsat 8: Application for Coastal Remote Sensing
inferredcites →https://doi.org/10.5281/zenodo.7829014openalex-snapshot
dmaciel123/Landsat_Aquatic_Ref_Validation: Version 0.1

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Harmonized Landsat-Sentinel 2 Data Can Unveil More Subtle and Stable Changes in Lacustrine Ephemeral Algal Bloom
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Aquatic reflectance derived from Sentinel‐2 Multispectral Imager data for inland waters in the conterminous United States
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inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.06.036openalex-snapshot
Accuracy assessment of PlanetScope SuperDove products for aquatic reflectance retrieval over Brazilian inland and coastal waters
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.10.016openalex-snapshot
Global evaluation revealed large spectral reflectance uncertainties in Landsat 8 Collection 2 surface reflectance products for inland and coastal waters
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.12.003openalex-snapshot
PACE (Plankton, Aerosol, Cloud, ocean Ecosystem): Preliminary analysis of the consistency of remote sensing reflectance product over aquatic systems
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Artifact-induced bias and cross-sensor inconsistencies in landsat surface reflectance for global inland waters: evaluation and solutions
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Long-term spatiotemporal mapping in lacustrine environment by remote sensing:Review with case study, challenges, and future directions
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Concerns about the temporal matching windows in satellite-ground synchronization for lacustrine environment mapping
inferred← citeshttps://doi.org/10.1016/j.watres.2025.125081openalex-snapshot
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Long‐Term Trends in Productivity Across Intermountain West Lakes Provide No Evidence of Widespread Eutrophication
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