Assessing the Long-Term Variability of TSS and Chlorophyll in Subtropical Reservoirs Using MODIS Data
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Lênio Soares Galvão | Fábio Marcelo Breunig | Waterloo Pereira Filho | Flávio Wachholz | W. P. Filho | F. Wachholz | F. Breunig | L. Galvão
[1] Amit Angal,et al. Time-Dependent Response Versus Scan Angle for MODIS Reflective Solar Bands , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[2] Richard L. Miller,et al. Using MODIS Terra 250 m imagery to map concentrations of total suspended matter in coastal waters , 2004 .
[3] H. Lichtenthaler,et al. Chlorophylls and Carotenoids: Measurement and Characterization by UV‐VIS Spectroscopy , 2001 .
[4] Lin Wang,et al. Retrieval of total suspended matter from MODIS 250 m imagery in the Bohai Sea of China , 2012, Journal of Oceanography.
[5] C. Giardino,et al. Detecting chlorophyll, Secchi disk depth and surface temperature in a sub-alpine lake using Landsat imagery. , 2001, The Science of the total environment.
[6] M. Brea,et al. The Paraná-Paraguay Basin: Geology and Paleoenvironments , 2011 .
[7] C. Long,et al. Remote sensing of suspended sediment concentration and hydrologic connectivity in a complex wetland environment. , 2013 .
[8] Chin Y. Kuo,et al. Criteria for the use of regression analysis for remote sensing of sediment and pollutants , 1982 .
[9] P. Fearnside,et al. Greenhouse-gas emissions from tropical dams , 2012 .
[10] R. Sarangi,et al. Monthly variability of chlorophyll and associated physical parameters in the southwest Bay of Bengal water using remote sensing data , 2008 .
[11] Joo-Hyung Ryu,et al. Monitoring of suspended sediment variation using Landsat and MODIS in the Saemangeum coastal area of Korea. , 2012, Marine pollution bulletin.
[12] Feng Gao,et al. Characterization of North American land cover from NOAA‐AVHRR data using the EOS MODIS Land Cover Classification Algorithm , 2000 .
[13] Xiaoxiong Xiong,et al. Status of terra MODIS and aqua modis , 2003 .
[14] T. Nhiwatiwa,et al. Temporal variation of the plankton communities in a small tropical reservoir (Malilangwe, Zimbabwe) , 2013 .
[15] Jing Yang,et al. A Semi-Analytical Model for Remote Sensing Retrieval of Suspended Sediment Concentration in the Gulf of Bohai, China , 2015, Remote. Sens..
[16] Antonio Camacho,et al. Empirical Relationships for Monitoring Water Quality of Lakes and Reservoirs Through Multispectral Images , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[17] Xixi Lu,et al. Estimation of suspended sediment concentrations using Terra MODIS: an example from the Lower Yangtze River, China. , 2010, Science of the Total Environment.
[18] Timothy Dube,et al. An assessment of chlorophyll-a concentration spatio-temporal variation using Landsat satellite data, in a small tropical reservoir , 2015 .
[19] Flávio Wachholz. Influência da bacia hidrográfica e características espaço-temporais de variáveis limnológicas sobre reservatórios no Rio Jacuí - RS , 2011 .
[20] John L. Dwyer,et al. The MODIS reprojection tool , 2006 .
[21] Louis Varfalvy,et al. Carbon dioxide and methane emissions and the carbon budget of a 10‐year old tropical reservoir (Petit Saut, French Guiana) , 2005 .
[22] F. R. Schiebe,et al. REMOTE SENSING OF SUSPENDED SEDIMENTS IN SURFACE WATERS , 1976 .
[23] Yunpeng Wang,et al. Water quality change in reservoirs of Shenzhen, China: detection using LANDSAT/TM data. , 2004, The Science of the total environment.
[24] Vilmaliz Rodríguez-Guzmán,et al. Using MODIS 250 m Imagery to Estimate Total Suspended Sediment in a Tropical Open Bay , 2009 .
[25] Lin Li,et al. Retrieval of total suspended matter (TSM) and chlorophyll-a (Chl-a) concentration from remote-sensing data for drinking water resources , 2012, Environmental Monitoring and Assessment.
[26] G. Mackinney,et al. ABSORPTION OF LIGHT BY CHLOROPHYLL SOLUTIONS , 1941 .
[27] Y. Zha,et al. A four-band semi-analytical model for estimating chlorophyll a in highly turbid lakes: The case of Taihu Lake, China , 2009 .
[28] Anatoly A. Gitelson,et al. Remote estimation of chlorophyll concentration in hyper-eutrophic aquatic systems: Model tuning and accuracy optimization , 2006 .
[29] Wolfgang Lucht,et al. Theoretical noise sensitivity of BRDF and albedo retrieval from the EOS-MODIS and MISR sensors with respect to angular sampling , 2000 .
[30] R. Betts,et al. Climate Change, Deforestation, and the Fate of the Amazon , 2008, Science.
[31] Indrajeet Chaubey,et al. LAKE WATER QUALITY ASSESSMENT FROM LANDSAT THEMATIC MAPPER DATA USING NEURAL NETWORK: AN APPROACH TO OPTIMAL BAND COMBINATION SELECTION1 , 2006 .
[32] A. Gitelson,et al. Estimation of chlorophyll-a concentration in productive turbid waters using a Hyperspectral Imager for the Coastal Ocean—the Azov Sea case study , 2011 .
[33] A. Gitelson,et al. Estimation of chlorophyll-a concentration in estuarine waters: case study of the Pearl River estuary, South China Sea , 2011 .
[34] M. Bauer,et al. Estimating chlorophyll concentration in Lake Malawi from MODIS satellite imagery , 2009 .
[35] S. Cheon,et al. Monitoring and modelling of chlorophyll-a concentrations in rivers using a high-resolution satellite image: a case study in the Nakdong river, Korea , 2015 .
[36] Alan H. Strahler,et al. An algorithm for the retrieval of albedo from space using semiempirical BRDF models , 2000, IEEE Trans. Geosci. Remote. Sens..
[37] K. Song,et al. Water Chlorophyll Concentration Estimation Using Landsat TM Data with Empirical Algorithms in Chagan Lake, China , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.
[38] W. Gao,et al. Earth Science Satellite Remote Sensing , 2006 .
[39] M. Schaepman,et al. Review of constituent retrieval in optically deep and complex waters from satellite imagery , 2012 .
[40] Yong Q. Tian,et al. Issues and Potential Improvement of Multiband Models for Remotely Estimating Chlorophyll-a in Complex Inland Waters , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[41] Thomas Hilker,et al. On the measurability of change in Amazon vegetation from MODIS , 2015 .
[42] W. Lucht. Expected retrieval accuracies of bidirectional reflectance and albedo from EOS-MODIS and MISR angular sampling , 1998 .
[43] Xiaoxiong Xiong,et al. NASA EOS Terra and Aqua MODIS on-orbit performance , 2009 .
[44] Qiao Wang,et al. An Improved Approach to Retrieve IOPs Based on a Quasi-Analytical Algorithm (QAA) for Turbid Eutrophic Inland Water , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[45] Y.‐Q. Jin,et al. Suspended sediment concentrations in the Yangtze River estuary retrieved from the CMODIS data , 2006 .
[46] E. Latrubesse,et al. Modeling suspended sediment distribution patterns of the Amazon River using MODIS data , 2014 .
[47] Sandrine Richard,et al. Methane and carbon dioxide emissions from tropical reservoirs: Significance of downstream rivers , 2006 .
[48] T. Wilbanks,et al. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .
[49] Deyong Sun,et al. Detection of Suspended-Matter Concentrations in the Shallow Subtropical Lake Taihu, China, Using the SVR Model Based on DSFs , 2010, IEEE Geoscience and Remote Sensing Letters.
[50] Geoffrey M. Henebry,et al. Assessing the impacts of climate and land use and land cover change on the freshwater availability in the Brahmaputra River basin , 2015 .
[51] Jinling Kong,et al. An optimal model for estimating suspended sediment concentration from Landsat TM images in the Caofeidian coastal waters , 2015 .
[52] Giorgio Dall'Olmo,et al. Effect of bio-optical parameter variability and uncertainties in reflectance measurements on the remote estimation of chlorophyll-a concentration in turbid productive waters: modeling results. , 2006, Applied optics.