Deep learning-based water quality estimation and anomaly detection using Landsat-8/Sentinel-2 virtual constellation and cloud computing

Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning Machine

(2018) Kyle Peterson et al.   Remote Sensing

Sentinel-2/Landsat-8 product consistency and implications for monitoring aquatic systems

(2018) Nima Pahlevan et al.   REMOTE SENSING OF ENVIRONMENT

The Harmonized Landsat and Sentinel-2 surface reflectance data set

(2018) Martin Claverie et al.   REMOTE SENSING OF ENVIRONMENT

Measuring Suspended-Sediment Concentration and Turbidity in the Middle Mississippi and Lower Missouri Rivers Using Landsat Data

(2017) Leticia S. F. Pereira et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

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(2017)   MEDICAL PHYSICS

Characterizing nutrient distributions and fluxes in a eutrophic reservoir, Midwestern United States

(2017) Alexandra R. Pearce et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

Remote sensing for lake research and monitoring – Recent advances

(2016) Katja Dörnhöfer et al.   ECOLOGICAL INDICATORS

Application of Landsat 8 imagery to regional-scale assessment of lake water quality

(2016) Jacek Andrzej Urbanski et al.   International Journal of Applied Earth Observation and Geoinformation

Emerging Tools for Continuous Nutrient Monitoring Networks: Sensors Advancing Science and Water Resources Protection

(2016) Brian A. Pellerin et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product

(2016) Eric Vermote et al.   REMOTE SENSING OF ENVIRONMENT

A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques

(2016) Mohammad Gholizadeh et al.   SENSORS

First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery

(2016) Kaire Toming et al.   Remote Sensing

Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters

(2016) Tiit Kutser et al.   Remote Sensing

Application of a partial least-squares regression model to retrieve chlorophyll-a concentrations in coastal waters using hyper-spectral data

(2016) Kimberly Ryan et al.   Ocean Science Journal

Time series relationships between chlorophyll-a, dissolved oxygen, and pH in three facultative wastewater stabilization ponds

(2016) J. Wallace et al.   Environmental Science-Water Research & Technology

Machine learning in geosciences and remote sensing

(2016) David J. Lary et al.   Geoscience Frontiers

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

(2016) Liangpei Zhang et al.   IEEE Geoscience and Remote Sensing Magazine

Assessment of water quality based on Landsat 8 operational land imager associated with human activities in Korea

(2015) Jisang Lim et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

A new approach for surface water change detection: Integration of pixel level image fusion and image classification techniques

(2015) Komeil Rokni et al.   International Journal of Applied Earth Observation and Geoinformation

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images

(2015) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Phytoplankton trends in the Great Lakes, 2001–2011

(2014) Euan D. Reavie et al.   JOURNAL OF GREAT LAKES RESEARCH

On-orbit radiometric characterization of OLI (Landsat-8) for applications in aquatic remote sensing

(2014) Nima Pahlevan et al.   REMOTE SENSING OF ENVIRONMENT

Barriers to adopting satellite remote sensing for water quality management

(2013) Blake A. Schaeffer et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Spatial and temporal trends in estimates of nutrient and suspended sediment loads in the Ishikari River, Japan, 1985 to 2010

(2013) Weili Duan et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Assessing SWAT's performance in the Kaskaskia River watershed as influenced by the number of calibration stations used

(2012) Li-Chi Chiang et al.   HYDROLOGICAL PROCESSES

A new type of simplified fuzzy rule-based system

(2011) Plamen Angelov et al.   INTERNATIONAL JOURNAL OF GENERAL SYSTEMS

Review of constituent retrieval in optically deep and complex waters from satellite imagery

(2011) Daniel Odermatt et al.   REMOTE SENSING OF ENVIRONMENT

Improvement in Intrusion Detection With Advances in Sensor Fusion

(2009) C. Thomas et al.   IEEE Transactions on Information Forensics and Security

Site modelling methods for detecting hydrologic alteration of flood frequency and flood duration in the floodplain below the carlyle dam, lower Kaskaskia River, Illinois, USA

(2008) Susan P. Romano et al.   RIVER RESEARCH AND APPLICATIONS

HYDROPT: A fast and flexible method to retrieve chlorophyll-a from multispectral satellite observations of optically complex coastal waters

(2007) H VANDERWOERD et al.   REMOTE SENSING OF ENVIRONMENT