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A bio-optical algorithm for the remote estimation of the chlorophyll-a concentration in case 2 waters

Climatic and Environmental Change in Northern Eurasia

Anatoly A Gitelson, Daniela Gurlin, Wesley J Moses and Tadd Barrow

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[1]

Impact of signal-to-noise ratio in a hyperspectral sensor on the accuracy of biophysical parameter estimation in case II waters

Wesley J. Moses et al  Optics Express 2012  20 4309
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[2]

In situ estimation of water quality parameters in freshwater aquaculture ponds using hyperspectral imaging system

Amr Abd-Elrahman et al  ISPRS Journal of Photogrammetry and Remote Sensing 2011  66 463
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Evaluation of medium to low resolution satellite imagery for regional lake water quality assessments

Leif G. Olmanson et al  Water Resources Research 2011  47 W09515
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[4]

A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters

Mark William Matthews  International Journal of Remote Sensing 2011  1
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[5]

An improved analytical algorithm for remote estimation of chlorophyll-a in highly turbid waters

Linhai Li et al  Environmental Research Letters 2011  6 034037
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[6]

Estimation of chlorophyll-a concentration in productive turbid waters using a Hyperspectral Imager for the Coastal Ocean—the Azov Sea case study

Anatoly A Gitelson et al  Environmental Research Letters 2011  6 024023
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[7]

Estimation of chlorophyll-a concentration in estuarine waters: case study of the Pearl River estuary, South China Sea

Yuanzhi Zhang et al  Environmental Research Letters 2011  6 024016
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[8]

The rocky road from research to operations for satelliteocean-colour data in fishery management

C. Wilson  ICES Journal of Marine Science 2010 
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[9]

Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and near infrared bands

Alexander A. Gilerson et al  Optics Express 2010  18 24109
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[10]

Temporal and spatial variability of chlorophyll a concentration in Lake Taihu using MODIS time-series data

Yuchao Zhang et al  Hydrobiologia 2010 
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[11]

Satellite estimation of chlorophyll-a concentration and phytoplankton primary production in the Sea of Azov

G. G. Matishov et al  Doklady Biological Sciences 2010  432 216
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[12]

Remote sensing of cyanobacteria-dominant algal blooms and water quality parameters in Zeekoevlei, a small hypertrophic lake, using MERIS

Mark W. Matthews et al  Remote Sensing of Environment 2010  114 2070
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[13]

A new three-band algorithm for estimating chlorophyll concentrations in turbid inland lakes

Hongtao Duan et al  Environmental Research Letters 2010  5 044009
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[14]

$a$ Concentration Using the Red and NIR Bands of MERIS—The Azov Sea Case Study]]>

Wesley J. Moses et al  IEEE Geoscience and Remote Sensing Letters 2009  6 845
CrossRef 
[15]

Estimation of chlorophyll-a concentration in case II waters using MODIS and MERIS data—successes and challenges

W J Moses et al  Environmental Research Letters 2009  4 045005
IOPscience 
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  1. A bio-optical algorithm for the remote estimation of the chlorophyll-a concentration in case 2 waters

    Anatoly A Gitelson et al 2009 Environ. Res. Lett. 4 045003

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  8. A prototype of a directional detector for non-baryonic dark matter search: MIMAC (Micro-TPC Matrix of Chambers)

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  9. Open questions in CMR manganites, relevance of clustered states and analogies with other compounds including the cuprates

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  10. Quality-of-service specification in distributed object systems

    Svend Frølund and Jari Koistinen 1998 Distrib. Syst. Engng. 5 179

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