Classification of Several Optically Complex Waters in China Using in Situ Remote Sensing Reflectance

How optically diverse is the coastal ocean?

(2015) F. Mélin et al.   REMOTE SENSING OF ENVIRONMENT

A three-band semi-analytical model for deriving total suspended sediment concentration from HJ-1A/CCD data in turbid coastal waters

(2014) Jun Chen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

An optical water type framework for selecting and blending retrievals from bio-optical algorithms in lakes and coastal waters

(2014) Timothy S. Moore et al.   REMOTE SENSING OF ENVIRONMENT

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

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

Pre-classification improves relationships between water clarity, light attenuation, and suspended particulates in turbid inland waters

(2013) Jia Liu et al.   HYDROBIOLOGIA

Hyperspectral Remote Sensing of the Pigment C-Phycocyanin in Turbid Inland Waters, Based on Optical Classification

(2013) Deyong Sun et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

An approach for developing Landsat-5 TM-based retrieval models of suspended particulate matter concentration with the assistance of MODIS

(2013) Guofeng Wu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Semi-supervised dimensionality reduction using orthogonal projection divergence-based clustering for hyperspectral imagery

(2012) Hongjun Su   OPTICAL ENGINEERING

Specific inherent optical quantities of complex turbid inland waters, from the perspective of water classification

(2012) Deyong Sun et al.   PHOTOCHEMICAL & PHOTOBIOLOGICAL SCIENCES

Evaluation of remote sensing algorithms for cyanobacterial pigment retrievals during spring bloom formation in several lakes of East China

(2012) Hongtao Duan et al.   REMOTE SENSING OF ENVIRONMENT

Optical classification of contrasted coastal waters

(2012) V. Vantrepotte et al.   REMOTE SENSING OF ENVIRONMENT

Remote chlorophyll-a estimates for inland waters based on a cluster-based classification

(2012) Kun Shi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Development of optical criteria to discriminate various types of highly turbid lake waters

(2011) Deyong Sun et al.   HYDROBIOLOGIA

Estimation of Chlorophyll a Concentration Using NIR/Red Bands of MERIS and Classification Procedure in Inland Turbid Water

(2011) Yunmei Li et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Reference spectra to classify Amazon water types

(2011) Felipe de Lucia Lobo et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Remote estimation of chl-a concentration in turbid productive waters — Return to a simple two-band NIR-red model?

(2011) Daniela Gurlin et al.   REMOTE SENSING OF ENVIRONMENT

Medium resolution imaging spectrometer (MERIS) estimation of chlorophyll-a concentration in the turbid sediment-laden waters of the Changjiang (Yangtze) Estuary

(2010) Fang Shen et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Seasonal-spatial variation and remote sensing of phytoplankton absorption in Lake Taihu, a large eutrophic and shallow lake in China

(2010) Y. Zhang et al.   JOURNAL OF PLANKTON RESEARCH

Remote estimation of chlorophyll a in optically complex waters based on optical classification

(2010) Chengfeng Le et al.   REMOTE SENSING OF ENVIRONMENT

A four-band semi-analytical model for estimating chlorophyll a in highly turbid lakes: The case of Taihu Lake, China

(2009) Chengfeng Le et al.   REMOTE SENSING OF ENVIRONMENT

A class-based approach to characterizing and mapping the uncertainty of the MODIS ocean chlorophyll product

(2009) Timothy S. Moore et al.   REMOTE SENSING OF ENVIRONMENT

An evaluation of algorithms for the remote sensing of cyanobacterial biomass

(2008) Antonio Ruiz-Verdú et al.   REMOTE SENSING OF ENVIRONMENT