相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。How optically diverse is the coastal ocean?
F. Melin et al.
REMOTE SENSING OF ENVIRONMENT (2015)
A three-band semi-analytical model for deriving total suspended sediment concentration from HJ-1A/CCD data in turbid coastal waters
Jun Chen et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)
An optical water type framework for selecting and blending retrievals from bio-optical algorithms in lakes and coastal waters
Timothy S. Moore et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Suspended sediment monitoring and assessment for Yellow River estuary from Landsat TM and ETM plus imagery
Minwei Zhang et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Pre-classification improves relationships between water clarity, light attenuation, and suspended particulates in turbid inland waters
Jia Liu et al.
HYDROBIOLOGIA (2013)
Hyperspectral Remote Sensing of the Pigment C-Phycocyanin in Turbid Inland Waters, Based on Optical Classification
Deyong Sun et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2013)
An approach for developing Landsat-5 TM-based retrieval models of suspended particulate matter concentration with the assistance of MODIS
Guofeng Wu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)
Remote chlorophyll-a estimates for inland waters based on a cluster-based classification
Kun Shi et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2013)
Estimation of Chlorophyll a Concentration Using NIR/Red Bands of MERIS and Classification Procedure in Inland Turbid Water
Yunmei Li et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2012)
Reference spectra to classify Amazon water types
Felipe de Lucia Lobo et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2012)
Semi-supervised dimensionality reduction using orthogonal projection divergence-based clustering for hyperspectral imagery
Hongjun Su et al.
OPTICAL ENGINEERING (2012)
Specific inherent optical quantities of complex turbid inland waters, from the perspective of water classification
Deyong Sun et al.
PHOTOCHEMICAL & PHOTOBIOLOGICAL SCIENCES (2012)
Evaluation of remote sensing algorithms for cyanobacterial pigment retrievals during spring bloom formation in several lakes of East China
Hongtao Duan et al.
REMOTE SENSING OF ENVIRONMENT (2012)
Optical classification of contrasted coastal waters
V. Vantrepotte et al.
REMOTE SENSING OF ENVIRONMENT (2012)
Development of optical criteria to discriminate various types of highly turbid lake waters
Deyong Sun et al.
HYDROBIOLOGIA (2011)
Remote estimation of chl-a concentration in turbid productive waters - Return to a simple two-band NIR-red model?
Daniela Gurlin et al.
REMOTE SENSING OF ENVIRONMENT (2011)
Remote estimation of chlorophyll a in optically complex waters based on optical classification
Chengfeng Le et al.
REMOTE SENSING OF ENVIRONMENT (2011)
Medium resolution imaging spectrometer (MERIS) estimation of chlorophyll-a concentration in the turbid sediment-laden waters of the Changjiang (Yangtze) Estuary
Fang Shen et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2010)
Seasonal-spatial variation and remote sensing of phytoplankton absorption in Lake Taihu, a large eutrophic and shallow lake in China
Yunlin Zhang et al.
JOURNAL OF PLANKTON RESEARCH (2010)
A four-band semi-analytical model for estimating chlorophyll a in highly turbid lakes: The case of Taihu Lake, China
Chengfeng Le et al.
REMOTE SENSING OF ENVIRONMENT (2009)
A class-based approach to characterizing and mapping the uncertainty of the MODIS ocean chlorophyll product
Timothy S. Moore et al.
REMOTE SENSING OF ENVIRONMENT (2009)
An evaluation of algorithms for the remote sensing of cyanobacterial biomass
Antonio Ruiz-Verdu et al.
REMOTE SENSING OF ENVIRONMENT (2008)
A bio-optical model based method of estimating total suspended matter of Lake Taihu from near-infrared remote sensing reflectance
B. Zhang et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2008)
Determination of primary spectral bands for remote sensing of aquatic environments
ZhongPing Lee et al.
SENSORS (2007)
A study of absorption characteristics of chromophoric dissolved organic matter and particles in Lake Taihu, China
Yunlin Zhang et al.
HYDROBIOLOGIA (2007)
Variability and classification of remote sensing reflectance spectra in the eastern English Channel and southern North Sea
Bertrand Lubac et al.
REMOTE SENSING OF ENVIRONMENT (2007)
Absorption and scattering properties of water body in Taihu Lake, China: absorption
R. Ma et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2006)
Comparison of different satellite sensors in detecting cyanobacterial bloom events in the Baltic Sea
Anu Reinart et al.
REMOTE SENSING OF ENVIRONMENT (2006)
Estimating chlorophyll a concentrations from remote-sensing reflectance in optically shallow waters
JP Cannizzaro et al.
REMOTE SENSING OF ENVIRONMENT (2006)
Modeling spectral reflectance of optically complex waters using bio-optical measurements from Tokyo Bay
H Feng et al.
REMOTE SENSING OF ENVIRONMENT (2005)
Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water
SGH Simis et al.
LIMNOLOGY AND OCEANOGRAPHY (2005)
Integration of multi-source data for water quality classification in the Pearl River estuary and its adjacent coastal waters of Hong Kong
XL Chen et al.
CONTINENTAL SHELF RESEARCH (2004)
Preliminary optical classification of lakes and coastal waters in Estonia and south Finland
A Reinart et al.
JOURNAL OF SEA RESEARCH (2003)
Feature-based classification of optical water types in the Northwest Atlantic based on satellite ocean color data
LVM Traykovski et al.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2003)
Lake water quality classification with airborne hyperspectral spectrometer and simulated MERIS data
S Koponen et al.
REMOTE SENSING OF ENVIRONMENT (2002)
A fuzzy logic classification scheme for selecting and blending satellite ocean color algorithms
TS Moore et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2001)
A semi-operative approach to lake water quality retrieval from remote sensing data
J Pulliainen et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2001)
Determination of chlorophyll content and trophic state of lakes using field spectrometer and IRS-1C satellite data in the Mecklenburg lake district, Germany
S Thiemann et al.
REMOTE SENSING OF ENVIRONMENT (2000)