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

Use of multispectral satellite remote sensing to assess mixing of suspended sediment downstream of large river confluences

(2018) M. Umar et al.   JOURNAL OF HYDROLOGY

Spatio-Temporal Analysis of Wetland Changes Using a Kernel Extreme Learning Machine Approach

(2018) Yi Lin et al.   Remote Sensing

Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine

(2017) Maitiniyazi Maimaitijiang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

Turbidity in Apalachicola Bay, Florida from Landsat 5 TM and Field Data: Seasonal Patterns and Response to Extreme Events

(2017) Ishan D. Joshi et al.   Remote Sensing

Fully automatic face normalization and single sample face recognition in unconstrained environments

(2016) Mohammad Haghighat et al.   EXPERT SYSTEMS WITH APPLICATIONS

Development of a Semi-Analytical Algorithm for the Retrieval of Suspended Particulate Matter from Remote Sensing over Clear to Very Turbid Waters

(2016) Bing Han et al.   Remote Sensing

Statistical model development and estimation of suspended particulate matter concentrations with Landsat 8 OLI images of Dongting Lake, China

(2015) Guofeng Wu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

(2015) Jochem Verrelst et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Landsat-Based Long-Term Monitoring of Total Suspended Matter Concentration Pattern Change in the Wet Season for Dongting Lake, China

(2015) Zhubin Zheng et al.   Remote Sensing

Empirical models for estimating the suspended sediment concentration in Amazonian white water rivers using Landsat 5/TM

(2014) Otávio C. Montanher et al.   International Journal of Applied Earth Observation and Geoinformation

Suspended sediment monitoring and assessment for Yellow River estuary from Landsat TM and ETM+ imagery

(2014) Minwei Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Dams on the Mekong: Cumulative sediment starvation

(2014) G. M. Kondolf et al.   WATER RESOURCES RESEARCH

Influence of the Three Gorges Dam on total suspended matters in the Yangtze Estuary and its adjacent coastal waters: Observations from MODIS

(2013) Lian Feng et al.   REMOTE SENSING OF ENVIRONMENT

Human induced turbidity changes in Poyang Lake between 2000 and 2010: Observations from MODIS

(2012) Lian Feng et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Water properties in Chesapeake Bay from MODIS-Aqua measurements

(2012) SeungHyun Son et al.   REMOTE SENSING OF ENVIRONMENT

Remote sensing of suspended sediment concentration and hydrologic connectivity in a complex wetland environment

(2012) Colleen M. Long et al.   REMOTE SENSING OF ENVIRONMENT

Water Quality Monitoring Using Remote Sensing and an Artificial Neural Network

(2012) Yirgalem Chebud et al.   WATER AIR AND SOIL POLLUTION

Satellite Estimates of Wide-Range Suspended Sediment Concentrations in Changjiang (Yangtze) Estuary Using MERIS Data

(2010) Fang Shen et al.   Estuaries and Coasts

Estimating turbidity and total suspended matter in the Adour River plume (South Bay of Biscay) using MODIS 250-m imagery

(2009) Caroline Petus et al.   CONTINENTAL SHELF RESEARCH

Retrieval of suspended sediment concentrations in large turbid rivers using Landsat ETM+: an example from the Yangtze River, China

(2009) Jian-Jun Wang et al.   EARTH SURFACE PROCESSES AND LANDFORMS

Technological advances in suspended-sediment surrogate monitoring

(2009) John R. Gray et al.   WATER RESOURCES RESEARCH

Retrieval of suspended particulate matter concentrations in the Danube River from Landsat ETM data

(2008) Milan Onderka et al.   SCIENCE OF THE TOTAL ENVIRONMENT