Journal of Water Resource and Protection

Journal of Water Resource and Protection

ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.org/Journal/jwarp
E-mail: jwarp@scirp.org
"Spectral Geometric Triangle Properties of Chlorophyll-A Inversion in Taihu Lake Based on TM Data"
written by Jun Chen, Zhenhe Wen, Zhengqing Xiao,
published by Journal of Water Resource and Protection, Vol.3 No.1, 2011
has been cited by the following article(s):
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[1] Trophic state assessment of a freshwater Himalayan lake using Landsat 8 OLI satellite imagery: A case study of Wular Lake, Jammu and Kashmir (India)
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[2] Optimization of Landsat Chl-a Retrieval Algorithms in Freshwater Lakes through Classification of Optical Water Types
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[3] Deriving colored dissolved organic matter absorption coefficient from ocean color with a neural quasi‐analytical algorithm
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[4] Climate Change in Korea and Algal Bloom Monitoring
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[5] Spatial and temporal variations of chlorophyll-a concentration from 2009 to 2012 in Poyang Lake, China
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[6] Assessment of chlorophyll-a variations in high-and low-flow seasons in Apalachicola Bay by MODIS 250-m remote sensing
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[7] Noise tolerance of algorithms for estimating chlorophyll a concentration in turbid waters
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[8] An approach for estimating MODIS reflectance at top-of-atmosphere at 667 and 678 nm from reflectance at 645 nm in turbid waters
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[9] Scale effects on chlorophyll-a concentration retrieved: Assessment and validation using Indian remote sensing satellite
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[10] An empirical algorithm for hyperspectral remote sensing of chlorophyll-a in turbid waters: a case study on Hyperion sensor
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[11] An improved algorithm for retrieving chlorophyll-a from the Yellow River Estuary using MODIS imagery
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[12] A review of some important technical problems in respect of satellite remote sensing of chlorophyll-a concentration in coastal waters
Selected Topics in Applied Earth Observations and Remote Sensing, 2013
[13] The use of MODIS 250m bands to improve the MODIS 1km ocean color atmospheric correction algorithm in turbid water
Advances in Space Research, 2013
[14] A simple 'clear water'atmospheric correction algorithm for Landsat-5 sensors. I: A spectral slope-based method
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[15] “伪暗像元” 表观反射率的尺度特性——以AWiFS 和LISS 传感器图像为例
国土资源遥感, 2013
[16] ASSESSMENT OF ESTIMATION METHODS FOR CHLOROPHYLL-A THROUGH HYPERSPECTRAL INSITU DATA AND MULTISPECTRAL LANDSAT FOR TAIHU LAKE
2013
[17] A simple 'clear water'atmospheric correction algorithm for Landsat-5 sensors
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[18] The use of MODIS 250 m bands to improve the MODIS 1 km ocean color atmospheric correction algorithm in turbid water
Advances in Space Research, 2013
[19] Scale corection of two-band ratio of red to near-infrared using imagery histogram approach: a case study on Indian remote sensing satellite in Yellow River estuary
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[20] A simple “clear water” atmospheric correction algorithm for Landsat-5 sensors,”
Int. J. Remote Sens, 2012
[21] Scale correction of two-band ratio of red to near-infrared using imagery histogram approach: a case study on Indian remote sensing satellite in Yellow River Estuary
Selected Topics in Applied Earth Observations and Remote Sensing, 2012
[22] A simple “clear water” atmospheric correction algorithm for Landsat-5 sensors
2012
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