Related references
Note: Only part of the references are listed.Hybrid Chlorophyll-a Algorithm for Assessing Trophic States of a Tropical Brazilian Reservoir Based on MSI/Sentinel-2 Data
Carolline Cairo et al.
REMOTE SENSING (2020)
Kd(PAR) and a Depth Based Model to Estimate the Height of Submerged Aquatic Vegetation in an Oligotrophic Reservoir: A Case Study at Nova Avanhandava
Luiz Henrique Rotta et al.
REMOTE SENSING (2019)
Retrieving Total and Inorganic Suspended Sediments in Amazon Floodplain Lakes: A Multisensor Approach
Daniel Maciel et al.
REMOTE SENSING (2019)
Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters
Kristi Uudeberg et al.
REMOTE SENSING (2019)
Optical types of inland and coastal waters
Evangelos Spyrakos et al.
LIMNOLOGY AND OCEANOGRAPHY (2018)
Unraveling the size-dependent optical properties of dissolved organic matter
Urban J. Wunsch et al.
LIMNOLOGY AND OCEANOGRAPHY (2018)
Dissolved organic matter signatures vary between naturally acidic, circumneutral and groundwater-fed freshwaters in Australia
Aleicia Holland et al.
WATER RESEARCH (2018)
Diel Variations in Cell Abundance and Trophic Transfer of Diarrheic Toxins during a Massive Dinophysis Bloom in Southern Brazil
Thiago Pereira Alves et al.
TOXINS (2018)
Spatial and seasonal variation in diffuse attenuation coefficients of downward irradiance at Ibitinga Reservoir, So Paulo, Brazil
Carolline Tressmann Cairo et al.
HYDROBIOLOGIA (2017)
An Optical Classification Tool for Global Lake Waters
Marieke A. Eleveld et al.
REMOTE SENSING (2017)
SNR (Signal-To-Noise Ratio) Impact on Water Constituent Retrieval from Simulated Images of Optically Complex Amazon Lakes
Daniel S. F. Jorge et al.
REMOTE SENSING (2017)
Analyzing the status of submerged aquatic vegetation using novel optical parameters
Luiz H. S. Rotta et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2016)
Time-series analysis of Landsat-MSS/TM/OLI images over Amazonian waters impacted by gold mining activities
Felipe L. Lobo et al.
REMOTE SENSING OF ENVIRONMENT (2015)
The use of remote-sensing techniques to monitor dense reservoir networks in the Brazilian semiarid region
Cristian Epifanio de Toledo et al.
INTERNATIONAL JOURNAL OF 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)
Analysis of MERIS Reflectance Algorithms for Estimating Chlorophyll-a Concentration in a Brazilian Reservoir
Petala B. Augusto-Silva et al.
REMOTE SENSING (2014)
BIO-OPTICAL CHARACTERIZATION OF TWO BRAZILIAN HYDROELECTRIC RESERVOIRS AS SUPPORT TO UNDERSTAND THE CARBON BUDGET IN HYDROELECTRIC RESERVOIRS
Claudio Barbosa et al.
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) (2014)
Remote chlorophyll-a estimates for inland waters based on a cluster-based classification
Kun Shi et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2013)
Optical classification of contrasted coastal waters
V. Vantrepotte et al.
REMOTE SENSING OF ENVIRONMENT (2012)
Remote estimation of chlorophyll a in optically complex waters based on optical classification
Chengfeng Le et al.
REMOTE SENSING OF ENVIRONMENT (2011)
Partitioning particulate scattering and absorption into contributions of phytoplankton and non-algal particles in winter in Lake Taihu (China)
Deyong Sun et al.
HYDROBIOLOGIA (2010)
Biooptical characteristics of PSII and PSI in 33 species (13 pigment groups) of marine phytoplankton, and the relevance for pulse-amplitude-modulated and fast-repetition-rate fluorometry
Geir Johnsen et al.
JOURNAL OF PHYCOLOGY (2007)
Spectral reflectance characterization of shallow lakes from the Brazilian Pantanal wetlands with field and airborne hyperspectral data
LS Galvao et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2003)
Determining CDOM absorption spectra in diverse coastal environments using a multiple pathlength, liquid core waveguide system
RL Miller et al.
CONTINENTAL SHELF RESEARCH (2002)
Estimating the number of clusters in a data set via the gap statistic
R Tibshirani et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2001)