On the public citation graph
AquaSat: A Data Set to Enable Remote Sensing of Water Quality for Inland Waters
0 signed · 233 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2016wr019993openalex-snapshot
Water quality data for national‐scale aquatic research: The Water Quality Portal
inferredcites →https://doi.org/10.1002/2017rg000562openalex-snapshot
Validation practices for satellite‐based Earth observation data across communities
inferredcites →https://doi.org/10.1002/ecs2.1739openalex-snapshot
Low‐level addition of dissolved organic carbon increases basal ecosystem function in a boreal headwater stream
inferredcites →https://doi.org/10.1002/lno.10674openalex-snapshot
Optical types of inland and coastal waters
inferredcites →https://doi.org/10.1002/lno.11136openalex-snapshot
Biases in lake water quality sampling and implications for macroscale research
inferredcites →https://doi.org/10.1002/spe.4380090402openalex-snapshot
Make — a program for maintaining computer programs
inferredcites →https://doi.org/10.1007/978-94-011-4367-7_19openalex-snapshot
Eurowaternet- A Freshwater Monitoring and Reporting Network for All European Countries
inferredcites →https://doi.org/10.1007/bf02726911openalex-snapshot
Relazione delle esperienze fatte a bordo della pontificia pirocorvetta l’Immacolata concezione per determinare la trasparenza del mare; Memoria del P. A. Secchi
inferredcites →https://doi.org/10.1007/s10661-013-3508-5openalex-snapshot
Water quality trends in New Zealand rivers: 1989–2009
inferredcites →https://doi.org/10.1016/0022-1694(89)90254-0openalex-snapshot
Sediment concentration versus water discharge during single hydrologic events in rivers
inferredcites →https://doi.org/10.1016/0034-4257(71)90094-0openalex-snapshot
Suspended sediment observations from ERTS-1
inferredcites →https://doi.org/10.1016/0034-4257(75)90008-5openalex-snapshot
On the Use of the Earth Resources Technology Satellite ( LANDSAT-1 ) in Optical Oceanography
inferredcites →https://doi.org/10.1016/0034-4257(78)90023-8openalex-snapshot
Toward universal multispectral suspended sediment algorithms
inferredcites →https://doi.org/10.1016/b978-0-12-809330-6.00002-7openalex-snapshot
Progress and Lessons Learned from Water-Quality Monitoring Networks
inferredcites →https://doi.org/10.1016/j.ecolind.2011.04.023openalex-snapshot
A global Water Quality Index and hot-deck imputation of missing data
inferredcites →https://doi.org/10.1016/j.jenvman.2005.09.027openalex-snapshot
The source and fate of sediment and mercury in the Tapajós River, Pará, Brazilian Amazon: Ground- and space-based evidence
inferredcites →https://doi.org/10.1016/j.jglr.2013.04.001openalex-snapshot
Retrospection and introspection on remote sensing of inland water quality: “Like Déjà Vu All Over Again”
inferredcites →https://doi.org/10.1016/j.pocean.2013.12.008openalex-snapshot
A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans
inferredcites →https://doi.org/10.1016/j.rse.2007.12.013openalex-snapshot
A 20-year Landsat water clarity census of Minnesota's 10,000 lakes
inferredcites →https://doi.org/10.1016/j.rse.2011.09.022openalex-snapshot
Landsat: Building a strong future
inferredcites →https://doi.org/10.1016/j.rse.2011.12.025openalex-snapshot
Continental-scale validation of MODIS-based and LEDAPS Landsat ETM+ atmospheric correction methods
inferredcites →https://doi.org/10.1016/j.rse.2014.09.021openalex-snapshot
Remote sensing of inland waters: Challenges, progress and future directions
inferredcites →https://doi.org/10.1016/j.rse.2015.05.023openalex-snapshot
Measuring freshwater aquatic ecosystems: The need for a hyperspectral global mapping satellite mission
inferredcites →https://doi.org/10.1016/j.rse.2015.11.032openalex-snapshot
The global Landsat archive: Status, consolidation, and direction
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.watres.2016.12.024openalex-snapshot
Challenges with secondary use of multi-source water-quality data in the United States
inferredcites →https://doi.org/10.1016/j.watres.2018.08.007openalex-snapshot
Limitations on using CDOM as a proxy for DOC in temperate lakes
inferredcites →https://doi.org/10.1021/acs.est.5b03518openalex-snapshot
High-Resolution Remote Sensing of Water Quality in the San Francisco Bay–Delta Estuary
inferredcites →https://doi.org/10.1021/acs.est.6b02155openalex-snapshot
Sensors in the Stream: The High-Frequency Wave of the Present
inferredcites →https://doi.org/10.1021/es803664xopenalex-snapshot
Regional Nutrient Trends in Streams and Rivers of the United States, 1993−2003
inferredcites →https://doi.org/10.1029/2008wr007424openalex-snapshot
Remote sensing of suspended sediment concentration, flow velocity, and lake recharge in the Peace‐Athabasca Delta, Canada
inferredcites →https://doi.org/10.1029/2009jg000968openalex-snapshot
Photochemical degradation of dissolved organic matter and dissolved lignin phenols from the Congo River
inferredcites →https://doi.org/10.1029/2010jg001634openalex-snapshot
Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery
inferredcites →https://doi.org/10.1029/2011wr011005openalex-snapshot
Evaluation of medium to low resolution satellite imagery for regional lake water quality assessments
inferredcites →https://doi.org/10.1029/2017wr022437openalex-snapshot
Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions
inferredcites →https://doi.org/10.1029/2018eo090691openalex-snapshot
How Offshore Groundwater Shapes the Seafloor
inferredcites →https://doi.org/10.1029/2018eo097251openalex-snapshot
Global Water Clarity: Continuing a Century-Long Monitoring
inferredcites →https://doi.org/10.1029/95gb02832openalex-snapshot
Oceanic primary production: 2. Estimation at global scale from satellite (Coastal Zone Color Scanner) chlorophyll
inferredcites →https://doi.org/10.1029/96jd02443openalex-snapshot
Atmospheric correction of ocean color imagery in the Earth Observing System era
inferredcites →https://doi.org/10.1038/nature20584openalex-snapshot
High-resolution mapping of global surface water and its long-term changes
inferredcites →https://doi.org/10.1073/pnas.1512651112openalex-snapshot
Aquatic carbon cycling in the conterminous United States and implications for terrestrial carbon accounting
inferredcites →https://doi.org/10.1080/01431161.2013.822602openalex-snapshot
Mapping inland lake water quality across the Lower Peninsula of Michigan using Landsat TM imagery
inferredcites →https://doi.org/10.1080/01431169508954609openalex-snapshot
Telespectrometrical estimation of water transparency, chlorophyll-a and total phosphorus concentration of Lake Peipsi
inferredcites →https://doi.org/10.1093/gigascience/gix101openalex-snapshot
LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes
inferredcites →https://doi.org/10.1098/rsta.2010.0329openalex-snapshot
Sediment flux and the Anthropocene
inferredcites →https://doi.org/10.1111/j.1365-2427.2004.01335.xopenalex-snapshot
Light absorption by phytoplankton and chromophoric dissolved organic matter in the drainage basin and estuary of the Neuse River, North Carolina (U.S.A.)
inferredcites →https://doi.org/10.1111/j.1752-1688.2011.00573.xopenalex-snapshot
A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions1
inferredcites →https://doi.org/10.1126/science.167.3921.1119openalex-snapshot
Spectra of Backscattered Light from the Sea Obtained from Aircraft as a Measure of Chlorophyll Concentration
inferredcites →https://doi.org/10.1186/s13742-015-0067-4openalex-snapshot
Building a multi-scaled geospatial temporal ecology database from disparate data sources: fostering open science and data reuse
inferredcites →https://doi.org/10.1890/070140openalex-snapshot
Lakes and streams as sentinels of environmental change in terrestrial and atmospheric processes
inferredcites →https://doi.org/10.2307/1312927openalex-snapshot
Remote Sensing of Algal Bloom Dynamics
inferredcites →https://doi.org/10.3133/tm4a10openalex-snapshot
User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data
inferredcites →https://doi.org/10.3390/rs10020352openalex-snapshot
Atmospheric Correction Inter-Comparison Exercise
inferredcites →https://doi.org/10.3390/rs61010232openalex-snapshot
The Spectral Response of the Landsat-8 Operational Land Imager
inferredcites →https://doi.org/10.3390/s16081298openalex-snapshot
A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques
inferredcites →https://doi.org/10.4319/lo.1977.22.2.0361openalex-snapshot
A trophic state index for lakes1
inferredcites →https://doi.org/10.4319/lo.1980.25.2.0371openalex-snapshot
Use of chlorophyll‐Secchi disk relationships
inferredcites →https://doi.org/10.4319/lo.1981.26.1.0043openalex-snapshot
Absorption by dissolved organic matter of the sea (yellow substance) in the UV and visible domains1
inferredcites →https://doi.org/10.4319/lo.2004.49.6.2179openalex-snapshot
Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing
inferredcites →https://doi.org/10.5194/bg-12-6669-2015openalex-snapshot
Controls on dissolved organic matter (DOM) degradation in a headwater stream: the influence of photochemical and hydrological conditions in determining light-limitation or substrate-limitation of photo-degradation
inferredcites →https://doi.org/10.5194/essd-10-1527-2018openalex-snapshot
Diversity II water quality parameters from ENVISAT (2002–2012): a new global information source for lakes
inferredcites →https://doi.org/10.5268/iw-2.4.510openalex-snapshot
Carbon export by rivers draining the conterminous United States
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/eap.2485openalex-snapshot
Partitioning macroscale and microscale ecological processes using covariate‐driven non‐stationary spatial models
inferred← citeshttps://doi.org/10.1002/ecs2.4271openalex-snapshot
Turning up the heat: Long‐term water quality responses to wildfires and climate change in a hypereutrophic lake
inferred← citeshttps://doi.org/10.1002/ecs2.4348openalex-snapshot
A simple metric for predicting the timing of river phytoplankton blooms
inferred← citeshttps://doi.org/10.1002/ecs2.70696openalex-snapshot
Key considerations for the use of satellite‐based remote sensing for lake and reservoir research and management
inferred← citeshttps://doi.org/10.1002/ecy.4291openalex-snapshot
Climate change‐associated declines in water clarity impair feeding by common loons
inferred← citeshttps://doi.org/10.1002/hyp.13690openalex-snapshot
Evaluating spatiotemporal variation in water chemistry of the upper Colorado River using longitudinal profiling
inferred← citeshttps://doi.org/10.1002/hyp.14565openalex-snapshot
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
inferred← citeshttps://doi.org/10.1002/hyp.14619openalex-snapshot
A machine learning approach to water quality forecasts and sensor network expansion: Case study in the Wabash River Basin, United States
inferred← citeshttps://doi.org/10.1002/lno.12706openalex-snapshot
The importance of source data in river network connectivity modeling: A review
inferred← citeshttps://doi.org/10.1002/lno.70227openalex-snapshot
Light attenuation due to preferential orientation of particles in waves and shear flow: Idealized modeling for bacteria, algae, and microplastics
inferred← citeshttps://doi.org/10.1002/lob.70065openalex-snapshot
Harmonizing Distributed Data in Aquatic Sciences: Key Takeaways from the 2026 ASLO ‐ SIL Workshop
inferred← citeshttps://doi.org/10.1002/lol2.10203openalex-snapshot
LAGOS‐US LOCUS v1.0: Data module of location, identifiers, and physical characteristics of lakes and their watersheds in the conterminous U.S.
inferred← citeshttps://doi.org/10.1002/lol2.10344openalex-snapshot
Validity of the Landsat surface reflectance archive for aquatic science: Implications for cloud‐based analysis
inferred← citeshttps://doi.org/10.1007/978-3-031-89071-0_17openalex-snapshot
Remote Sensing for Freshwater Quality Assessment: Current Developments and Future Trends
inferred← citeshttps://doi.org/10.1007/s10021-020-00531-6openalex-snapshot
Temporal Coherence Between Lake and Landscape Primary Productivity
inferred← citeshttps://doi.org/10.1007/s10021-021-00684-yopenalex-snapshot
Are Northern Lakes in Relatively Intact Temperate Forests Showing Signs of Increasing Phytoplankton Biomass?
inferred← citeshttps://doi.org/10.1007/s10201-021-00683-xopenalex-snapshot
Do rusty crayfish (Faxonius rusticus) invasions affect water clarity in north temperate lakes?
inferred← citeshttps://doi.org/10.1007/s10530-023-03111-6openalex-snapshot
Modeling of suitable habitats for starry stonewort (Nitellopsis obtusa) in inland lakes in the Midwest and northeast U.S.A
inferred← citeshttps://doi.org/10.1007/s10533-020-00690-7openalex-snapshot
Mercury and selenium loading in mountaintop mining impacted alkaline streams and riparian food webs
inferred← citeshttps://doi.org/10.1007/s10584-022-03457-1openalex-snapshot
Indicators of the effects of climate change on freshwater ecosystems
inferred← citeshttps://doi.org/10.1007/s10661-020-08731-2openalex-snapshot
Estimation of nitrogen and phosphorus concentrations from water quality surrogates using machine learning in the Tri An Reservoir, Vietnam
inferred← citeshttps://doi.org/10.1007/s10661-023-11830-5openalex-snapshot
Assessing the suitability of lakes and reservoirs for recreation using Landsat 8
inferred← citeshttps://doi.org/10.1007/s10661-024-12496-3openalex-snapshot
A comprehensive research on open surface drinking water resources in Istanbul using remote sensing technologies
inferred← citeshttps://doi.org/10.1007/s10661-024-13261-2openalex-snapshot
Linking land use and precipitation changes to water quality changes in Lake Victoria using earth observation data
inferred← citeshttps://doi.org/10.1007/s10661-025-14868-9openalex-snapshot
Accurate and robust estimation of TDS, TOC, Chl-a and surface water temperature using Landsat-8, Sentinel-2, MODIS, and ASTER sensors
inferred← citeshttps://doi.org/10.1007/s11269-026-04776-zopenalex-snapshot
Advances in AI-Driven Surface Water Quality Assessment: A Comprehensive Review of Machine Learning and Emerging Technologies
inferred← citeshttps://doi.org/10.1007/s11356-021-14017-yopenalex-snapshot
Advent of Big Data technology in environment and water management sector
inferred← citeshttps://doi.org/10.1007/s11356-022-21168-zopenalex-snapshot
Uncovering the influence of hydrological and climate variables in chlorophyll-A concentration in tropical reservoirs with machine learning
inferred← citeshttps://doi.org/10.1007/s11356-023-28344-9openalex-snapshot
Improving lake chlorophyll-a interpreting accuracy by combining spectral and texture features of remote sensing
inferred← citeshttps://doi.org/10.1007/s13157-025-01974-0openalex-snapshot
A Synthesized Approach for Assessing Wetland Restoration Potential on Agricultural Land: A Case Study in the Southeastern United States
inferred← citeshttps://doi.org/10.1016/b978-0-12-819166-8.00026-8openalex-snapshot
Macrosystems Limnology and Beyond: Re-Envisioning the Scale of Limnology
inferred← citeshttps://doi.org/10.1016/b978-0-12-819166-8.00121-3openalex-snapshot
Machine Learning for Understanding Inland Water Quantity, Quality, and Ecology
inferred← citeshttps://doi.org/10.1016/b978-0-323-85045-2.00008-xopenalex-snapshot
Geospatial technology for sustainable management of water resources
inferred← citeshttps://doi.org/10.1016/j.actaastro.2024.03.062openalex-snapshot
Design of a satellite constellation for monitoring inland water quality
inferred← citeshttps://doi.org/10.1016/j.advwatres.2021.104076openalex-snapshot
Measurement of suspended sediment concentration in open channel flows based on hyperspectral imagery from UAVs
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112544openalex-snapshot
Small water body extraction in remote sensing with enhanced CNN architecture
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2023.102058openalex-snapshot
Examining the sensitivity of simulated EnMAP data for estimating chlorophyll-a and total suspended solids in inland waters
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2024.102608openalex-snapshot
Advancing reservoirs water quality parameters estimation using Sentinel-2 and Landsat-8 satellite data with machine learning approaches
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2025.103087openalex-snapshot
Advancing lakes algal chlorophyll estimation in the contiguous USA: A comparative study of machine learning models and satellite data
inferred← citeshttps://doi.org/10.1016/j.ecolind.2023.111290openalex-snapshot
Retrieving Lake Chla concentration from remote Sensing: Sampling time matters
inferred← citeshttps://doi.org/10.1016/j.ecolind.2024.111674openalex-snapshot
Remote sensing of lake chlorophyll-a in Qinghai-Tibet Plateau responding to climate factors: Implications for oligotrophic lakes
inferred← citeshttps://doi.org/10.1016/j.ecolind.2025.113563openalex-snapshot
Satellite retrievals of total phosphorus in Taihu Lake using Sentinel-2 images and an optimized XGBoost model
inferred← citeshttps://doi.org/10.1016/j.ecolind.2026.115188openalex-snapshot
Evaluation of minimal local recalibration for reducing transfer error in Sentinel-2 chlorophyll a estimation across heterogeneous waterbodies
inferred← citeshttps://doi.org/10.1016/j.ejrh.2025.102759openalex-snapshot
Deep learning-based remote sensing retrieval of inland water quality: A review
inferred← citeshttps://doi.org/10.1016/j.eng.2024.04.012openalex-snapshot
Digital Twins for Wastewater Treatment: A Technical Review
inferred← citeshttps://doi.org/10.1016/j.envsoft.2021.105210openalex-snapshot
Discrete Global Grid Systems as scalable geospatial frameworks for characterizing coastal environments
inferred← citeshttps://doi.org/10.1016/j.geomorph.2025.109664openalex-snapshot
Investigating changes in proglacial stream suspended sediment concentration and their drivers using large scale remote sensing
inferred← citeshttps://doi.org/10.1016/j.htopen.2026.100049openalex-snapshot
Physics-guided modeling of turbidity dynamics in Lake Tana: Integrating satellite-derived Forel-Ule Index and physical forcing using regression and PINN approaches
inferred← citeshttps://doi.org/10.1016/j.infgeo.2025.100014openalex-snapshot
AI-driven opportunities and challenges in lake remote sensing
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.01.028openalex-snapshot
A novel framework for river organic carbon retrieval through satellite data and machine learning
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2026.09.007openalex-snapshot
Four decades of Landsat-based river turbidity reconstruction reveal spatially heterogeneous declines across U.S. rivers
inferred← citeshttps://doi.org/10.1016/j.iswa.2023.200222openalex-snapshot
Deep learning detection of types of water-bodies using optical variables and ensembling
inferred← citeshttps://doi.org/10.1016/j.jag.2024.104048openalex-snapshot
Satellite retrievals of water quality for diverse inland waters from Sentinel-2 images: An example from Zhejiang Province, China
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2024.135174openalex-snapshot
A multidirectional pairwise coupling approach with spectral features unmixing to quantify total phosphorus, total nitrogen, and chlorophyll-a in urban rivers
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2026.135882openalex-snapshot
Satellite water quality monitoring of China’s coastal inland waters based on Google Earth Engine
inferred← citeshttps://doi.org/10.1016/j.mex.2024.102955openalex-snapshot
GAM4water: An R-based method for extracting wetted areas from remotely-sensed images
inferred← citeshttps://doi.org/10.1016/j.rineng.2022.100524openalex-snapshot
Remote sensing and AI for building climate adaptation applications
inferred← citeshttps://doi.org/10.1016/j.rsase.2023.101119openalex-snapshot
Perceived barriers and advances in integrating earth observations with water resources modeling
inferred← citeshttps://doi.org/10.1016/j.rsase.2026.102274openalex-snapshot
A reproducible baseline framework for landsat satellite-based water quality modeling
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112651openalex-snapshot
Complementary water quality observations from high and medium resolution Sentinel sensors by aligning chlorophyll-a and turbidity algorithms
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1016/j.rse.2023.113889openalex-snapshot
Towards global long-term water transparency products from the Landsat archive
inferred← citeshttps://doi.org/10.1016/j.rser.2023.113729openalex-snapshot
100 key questions to guide hydropeaking research and policy
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.138141openalex-snapshot
Regional measurements and spatial/temporal analysis of CDOM in 10,000+ optically variable Minnesota lakes using Landsat 8 imagery
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2023.163125openalex-snapshot
Effects of spectral variability due to sediment and bottom characteristics on remote sensing for suspended sediment in shallow rivers
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2025.180195openalex-snapshot
Major reductions in riverine suspended sediment levels caused by changes in agricultural practices and dams in Southern Brazil (1984–2024)
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2025.180958openalex-snapshot
38 years of declining and stable chlorophyll-a trends in northern US rivers
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2026.181953openalex-snapshot
Intelligent sediment–groundwater digital twin: A systematic review, meta-analysis, and reference architecture for reliable metal pollution risk assessment
inferred← citeshttps://doi.org/10.1016/j.sftr.2025.100984openalex-snapshot
Application of machine learning for real-time water quality monitoring in developing countries: A review
inferred← citeshttps://doi.org/10.1016/j.watres.2021.117618openalex-snapshot
Retrieval of water quality parameters from hyperspectral images using a hybrid feedback deep factorization machine model
inferred← citeshttps://doi.org/10.1016/j.watres.2022.119478openalex-snapshot
Estimation of dissolved organic carbon from inland waters at a large scale using satellite data and machine learning methods
inferred← citeshttps://doi.org/10.1021/acsestwater.3c00290openalex-snapshot
Machine Learning Provides Opportunities to Recognize Greenhouse Gas Emissions from Water at a Large Scale
inferred← citeshttps://doi.org/10.1021/acsestwater.4c01053openalex-snapshot
The Nature-Based Paradigm Shift: Identifying and Overcoming Barriers to Sustainable Water Quality Solutions
inferred← citeshttps://doi.org/10.1021/acsestwater.6c00939openalex-snapshot
Satellite-Monitoring Research Agenda for Urban Stormwater Infrastructure: Capabilities, Gaps, and a Community Benchmark Proposal
inferred← citeshttps://doi.org/10.1029/2019jf005033openalex-snapshot
Toward Improved Accuracy of Remote Sensing Approaches for Quantifying Suspended Sediment: Implications for Suspended‐Sediment Monitoring
inferred← citeshttps://doi.org/10.1029/2020wr027721openalex-snapshot
Modeling Water Quality in Watersheds: From Here to the Next Generation
inferred← citeshttps://doi.org/10.1029/2020wr027949openalex-snapshot
Constraining Remote River Discharge Estimation Using Reach‐Scale Geomorphology
inferred← citeshttps://doi.org/10.1029/2020wr029123openalex-snapshot
Shifting Patterns of Summer Lake Color Phenology in Over 26,000 US Lakes
inferred← citeshttps://doi.org/10.1029/2021wr030054openalex-snapshot
The Surface Water and Ocean Topography (SWOT) Mission River Database (SWORD): A Global River Network for Satellite Data Products
inferred← citeshttps://doi.org/10.1029/2022wr033296openalex-snapshot
Modeling and Analysis of Sediment Trapping Efficiency of Large Dams Using Remote Sensing
inferred← citeshttps://doi.org/10.1029/2022wr034215openalex-snapshot
Predicting Daily River Chlorophyll Concentrations at a Continental Scale
inferred← citeshttps://doi.org/10.1029/2023wr034997openalex-snapshot
Long‐Term Trends in Productivity Across Intermountain West Lakes Provide No Evidence of Widespread Eutrophication
inferred← citeshttps://doi.org/10.1029/2023wr036759openalex-snapshot
Longitudinal Recovery of Suspended Sediment Downstream of Large Dams in the US
inferred← citeshttps://doi.org/10.1029/2024jg008121openalex-snapshot
Toward Large‐Scale Riverine Phosphorus Estimation Using Remote Sensing and Machine Learning
inferred← citeshttps://doi.org/10.1029/2024wr037138openalex-snapshot
Forecasting Lakes' Chlorophyll Concentrations Using Satellite Images and Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1029/2024wr039355openalex-snapshot
ChemLotUS: A Benchmark Data Set of Lotic Chemistry Across US River Networks
inferred← citeshttps://doi.org/10.1029/2025gl120407openalex-snapshot
Operational Near Real Time Global Riverine Sediment Flux Estimates From Space
inferred← citeshttps://doi.org/10.1029/2025jg009662openalex-snapshot
Satellite‐Derived Chlorophyll‐a of the Ohio and Illinois Rivers (CHOIR)
inferred← citeshttps://doi.org/10.1029/2025wr042643openalex-snapshot
Sedimentation and Nonlinear Trapping in Texas Reservoirs Identified Using Remote Sensing and Bathymetric Survey Records
inferred← citeshttps://doi.org/10.1038/s41467-024-47598-6openalex-snapshot
Sustained increase in suspended sediments near global river deltas over the past two decades
inferred← citeshttps://doi.org/10.1038/s41561-026-01960-zopenalex-snapshot
Increasing river sediment concentration and flux across the pan-Arctic
inferred← citeshttps://doi.org/10.1038/s41597-024-02921-0openalex-snapshot
National-scale remotely sensed lake trophic state from 1984 through 2020
inferred← citeshttps://doi.org/10.1038/s41597-024-03453-3openalex-snapshot
Chlorophyll a in lakes and streams of the United States (2005–2022)
inferred← citeshttps://doi.org/10.1038/s41597-024-03704-3openalex-snapshot
Satellite-ground synchronous in-situ dataset of water optical parameters and surface temperature for typical lakes in China
inferred← citeshttps://doi.org/10.1038/s41597-025-05600-wopenalex-snapshot
LAGOS-US LANDSAT: Remotely sensed water quality estimates for U.S. lakes over 4 ha from 1984 to 2020
inferred← citeshttps://doi.org/10.1038/s41597-025-05609-1openalex-snapshot
A bio-optical database for the remote sensing of water quality in BRAZil coAstal and inland waters (BRAZA)
inferred← citeshttps://doi.org/10.1038/s41597-026-07091-9openalex-snapshot
A global dataset of reservoir in-situ water levels for hydrological and remote sensing applications
inferred← citeshttps://doi.org/10.1038/s41598-025-28265-2openalex-snapshot
Satellites reveal widespread deoxygenation of large global reservoirs from 1984 to 2023
inferred← citeshttps://doi.org/10.1051/kmae/2026003openalex-snapshot
Current and near-future conditions of aquatic spatial data for use in ecological models in the United States
inferred← citeshttps://doi.org/10.1080/01431161.2023.2237663openalex-snapshot
Mapping river turbidity at a large basin-scale with a spatially transferable ensemble model using Landsat 8 multispectral imagery
inferred← citeshttps://doi.org/10.1086/716236openalex-snapshot
Bloom and bust: Historical trends of harmful algal blooms in Muskegon Lake, Michigan, a Great Lakes estuary
inferred← citeshttps://doi.org/10.1088/1748-9326/aba927openalex-snapshot
Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US
inferred← citeshttps://doi.org/10.1088/1748-9326/abf002openalex-snapshot
Multi-decadal improvement in US Lake water clarity
inferred← citeshttps://doi.org/10.1088/1748-9326/acd8d8openalex-snapshot
Human activities change suspended sediment concentration along rivers
inferred← citeshttps://doi.org/10.1093/oso/9780197604700.003.0002openalex-snapshot
Aqueous Geochemistry I
inferred← citeshttps://doi.org/10.1109/csmis60634.2023.00115openalex-snapshot
Storage and Retrieval of Water Conservancy Remote Sensing Data in Cloud Computing Environment
inferred← citeshttps://doi.org/10.1109/igarss39084.2020.9323465openalex-snapshot
Supporting Aquaculture in the Chesapeake Bay Using Artificial Intelligence to Detect Poor Water Quality with Remote Sensing
inferred← citeshttps://doi.org/10.1109/igarss53475.2024.10641825openalex-snapshot
Improved Dissolved Organic Carbon Prediction in Diverse Inland Water Bodies: Utilizing Machine Learning and Remote Sensing
inferred← citeshttps://doi.org/10.1109/igarss53475.2024.10642051openalex-snapshot
MUDDAT: A Sentinel-2 Image-Based Muddy Water Benchmark Dataset for Environmental Monitoring
inferred← citeshttps://doi.org/10.1109/jstars.2024.3443756openalex-snapshot
Estimating Riverine Total Suspended Solids From Spatiotemporal Satellite Sensor Fusion
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3088144openalex-snapshot
Simple Method to Extract Lake Ice Condition From Landsat Images
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3207345openalex-snapshot
Harmonized Chlorophyll-a Retrievals in Inland Lakes From Landsat-8/9 and Sentinel 2A/B Virtual Constellation Through Machine Learning
inferred← citeshttps://doi.org/10.1111/1752-1688.13137openalex-snapshot
Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement
inferred← citeshttps://doi.org/10.1117/1.jrs.16.044522openalex-snapshot
Mapping the probability of freshwater algal blooms with various spectral indices and sources of training data
inferred← citeshttps://doi.org/10.18174/sesmo.18149openalex-snapshot
Applications of GIS and remote sensing in public participation and stakeholder engagement for watershed management
inferred← citeshttps://doi.org/10.21105/joss.07305openalex-snapshot
harmonize-wq: Standardize, clean and wrangle Water Quality Portal data into more analytic-ready formats
inferred← citeshttps://doi.org/10.2139/ssrn.4426087openalex-snapshot
100 Key Questions to Guide Hydropeaking Research and Policy
inferred← citeshttps://doi.org/10.2139/ssrn.5119741openalex-snapshot
Global-Scale Chlorophyll-A Monitoring for Inland Lake Water Quality Framework: Advancements, Machine Learning Models, and Transferability Challenges
inferred← citeshttps://doi.org/10.2139/ssrn.5677002openalex-snapshot
Modeling the Spatio-Temporal Dynamics of Turbidity in Lake Tana Using MODIS-Derived Forel-Ule Index and UnivariateRegressions: The Role of Physical Factors
inferred← citeshttps://doi.org/10.2166/ws.2023.033openalex-snapshot
A survey on applications of machine learning algorithms in water quality assessment and water supply and management
inferred← citeshttps://doi.org/10.22541/essoar.167100133.34516631/v1openalex-snapshot
Non-optical Water Quality Retrieval from Zhuhai-1 OHS Hyperspectral Images in Taipu River
inferred← citeshttps://doi.org/10.25080/jcuj3732openalex-snapshot
Eyes in the sky: Estimating Inland Water Quality Using Landsat Data
inferred← citeshttps://doi.org/10.29244/jitkt.v16i3.53244openalex-snapshot
Estimation of Total Suspended Solids in the Ujung Pangkah Estuary Using Multi-Temporal Sentinel-2 Satellite Imagery
inferred← citeshttps://doi.org/10.31223/osf.io/b9wrqopenalex-snapshot
Research trends in the use of remote sensing for inland water quality science: Moving towards multidisciplinary applications
inferred← citeshttps://doi.org/10.31223/x57x31openalex-snapshot
The extended Global Lake area, Climate, and Population (GLCP) dataset: Extending the GLCP to include ice, snow, and radiation-related climate variables
inferred← citeshttps://doi.org/10.31223/x5964sopenalex-snapshot
Machine learning for understanding inland water quantity, quality, and ecology
inferred← citeshttps://doi.org/10.31223/x59h4wopenalex-snapshot
National-scale, remotely sensed lake trophic state, 1984-2020
inferred← citeshttps://doi.org/10.31223/x5f01topenalex-snapshot
Multi-decadal improvement in U.S. lake water clarity
inferred← citeshttps://doi.org/10.3133/ofr20231085openalex-snapshot
Knowledge gaps and opportunities in water-quality drivers of aquatic ecosystem health
inferred← citeshttps://doi.org/10.3389/fevo.2024.1505125openalex-snapshot
Optical remote spectral acquisition of elemental stoichiometry
inferred← citeshttps://doi.org/10.3389/fevo.2026.1850819openalex-snapshot
Satellites reveal localized algal bloom intensification in a culturally significant reservoir
inferred← citeshttps://doi.org/10.3389/fmars.2023.1226234openalex-snapshot
Remote sensing-based spatiotemporal variation and driving factor assessment of chlorophyll-a concentrations in China’s Pearl River Estuary
inferred← citeshttps://doi.org/10.3389/fmars.2026.1787597openalex-snapshot
Satellite-based machine learning models for chlorophyll-a and TSS retrieval in Abu Dhabi’s coastal waters
inferred← citeshttps://doi.org/10.3389/frwa.2023.1244024openalex-snapshot
River reach-level machine learning estimation of nutrient concentrations in Great Britain
inferred← citeshttps://doi.org/10.3389/fsrma.2022.1031646openalex-snapshot
Use of species distribution models to study habitat suitability for sustainable management and conservation in the Indian subcontinent: A decade's retrospective
inferred← citeshttps://doi.org/10.3390/environments10100170openalex-snapshot
Meta-Analysis of Satellite Observations for United Nations Sustainable Development Goals: Exploring the Potential of Machine Learning for Water Quality Monitoring
inferred← citeshttps://doi.org/10.3390/rs12091510openalex-snapshot
Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers
inferred← citeshttps://doi.org/10.3390/rs13081434openalex-snapshot
Remote Sensing of Lake Water Clarity: Performance and Transferability of Both Historical Algorithms and Machine Learning
inferred← citeshttps://doi.org/10.3390/rs13132498openalex-snapshot
A Machine Learning Approach for Estimating the Trophic State of Urban Waters Based on Remote Sensing and Environmental Factors
inferred← citeshttps://doi.org/10.3390/rs13152899openalex-snapshot
Integrating Inland and Coastal Water Quality Data for Actionable Knowledge
inferred← citeshttps://doi.org/10.3390/rs13183615openalex-snapshot
Multiple Images Improve Lake CDOM Estimation: Building Better Landsat 8 Empirical Algorithms across Southern Canada
inferred← citeshttps://doi.org/10.3390/rs13204026openalex-snapshot
Proof of Concept Study of an Electrochemical Sensor for Inland Water Monitoring with a Network Approach
inferred← citeshttps://doi.org/10.3390/rs16060996openalex-snapshot
Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction
inferred← citeshttps://doi.org/10.3390/rs16111977openalex-snapshot
Expanding the Application of Sentinel-2 Chlorophyll Monitoring across United States Lakes
inferred← citeshttps://doi.org/10.3390/rs16152761openalex-snapshot
Remote Sensing of Chlorophyll-a and Water Quality over Inland Lakes: How to Alleviate Geo-Location Error and Temporal Discrepancy in Model Training
inferred← citeshttps://doi.org/10.3390/rs17183130openalex-snapshot
A Decision-Support Framework for Evaluating Riverine Sediment Influence on U.S. Tidal Wetlands
inferred← citeshttps://doi.org/10.3390/rs18071095openalex-snapshot
Suspended Sediment Dynamics Under the Compound Influence of a Natural Lake and Navigation Dams in the Upper Mississippi River: Insights from Remote Sensing and Modeling
inferred← citeshttps://doi.org/10.3390/rs18183237openalex-snapshot
The Five-Decade Landsat Legacy in Inland Water Quality: A Systematic Review of Technological and Methodological Evolution
inferred← citeshttps://doi.org/10.3390/s22062416openalex-snapshot
Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing
inferred← citeshttps://doi.org/10.3390/su13116416openalex-snapshot
Multi-Reservoir Water Quality Mapping from Remote Sensing Using Spatial Regression
inferred← citeshttps://doi.org/10.3390/w12010169openalex-snapshot
Research Trends in the Use of Remote Sensing for Inland Water Quality Science: Moving Towards Multidisciplinary Applications
inferred← citeshttps://doi.org/10.3390/w14030451openalex-snapshot
Remote Analysis of the Chlorophyll-a Concentration Using Sentinel-2 MSI Images in a Semiarid Environment in Northeastern Brazil
inferred← citeshttps://doi.org/10.3390/w14131985openalex-snapshot
Can Remote Sensing Fill the United States’ Monitoring Gap for Watershed Management?
inferred← citeshttps://doi.org/10.3390/w16192721openalex-snapshot
EstuarySAT Database Development of Harmonized Remote Sensing and Water Quality Data for Tidal and Estuarine Systems
inferred← citeshttps://doi.org/10.3390/w17020253openalex-snapshot
Water Clarity Assessment Through Satellite Imagery and Machine Learning
inferred← citeshttps://doi.org/10.4467/21995923gp.25.002.22857openalex-snapshot
Emerging trends in gis and remote sensing technologies for environmental monitoring: innovations, applications, and future directions
inferred← citeshttps://doi.org/10.51489/tuzal.1648759openalex-snapshot
Determining the eutrophication status in Nainital lake of Uttarakhand, India using Sentinel-2 MSI imagery
inferred← citeshttps://doi.org/10.5194/essd-17-3411-2025openalex-snapshot
OLIGOTREND, a global database of multi-decadal chlorophyll a and water quality time series for rivers, lakes, and estuaries
inferred← citeshttps://doi.org/10.5194/esurf-12-581-2024openalex-snapshot
Riverine sediment response to deforestation in the Amazon basin
inferred← citeshttps://doi.org/10.5194/hess-26-4773-2022openalex-snapshot
HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists
inferred← citeshttps://doi.org/10.5337/2022.224openalex-snapshot
Towards a global river health assessment framework
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.