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Submersed aquatic vegetation - SAV mapping based on radiative transfer theory - RTT in water bodies

Grant number: 13/09045-7
Support type:Regular Research Grants
Duration: November 01, 2013 - October 31, 2015
Field of knowledge:Physical Sciences and Mathematics - Geosciences - Geodesy
Principal Investigator:Nilton Nobuhiro Imai
Grantee:Nilton Nobuhiro Imai
Home Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil
Assoc. researchers:Alisson Fernando Coelho do Carmo ; Arcilan Trevenzoli Assireu ; Cláudio Clemente Faria Barbosa ; Enner Herenio de Alcântara ; Maria de Lourdes Bueno Trindade Galo ; Nariane Marselhe Ribeiro Bernardo do Carmo

Abstract

A major problem faced in Submerged Aquatic Vegetation (SAV) survey is its dynamism, because its growth rate is quite high. They can also be pulled by boats, struck by the change of water level, current velocity, wind speed and direction and other environmental factors. Furthermore, the mapping of SAV is nowadays a task of high cost when performed using data obtained from field surveys. The procedures involved in such surveys require long time and therefore are unfeasible for SAV mapping, especially in large aquatic systems. An alternative way to detect the SAV is the use of remote sensing techniques. However, studies have shown that multispectral images do not have adequate spectral resolution to distinguish between regions with and without SAV. Recent works has shown that the use of hyperspectral imaging and inverse models based on the Radiative Transfer Theory (RTT) in water bodies can be adapted to estimate the substrate albedo. Thus, the overall purpose of this work job is to perform the SAV mapping based on the RTT in the water column. Field measures of chlorophyll-a, suspended solids and dissolved organic matter, and also measurements of inherent optical properties, i.e. absorption and backscattering coefficients will be surveyed. This data will be inserted into the inversion model process and thus to obtain information from the water column and substrate of the entire area. Consequently, an occurrence SAV map will be obtained, besides the optically active components presents in the water column. To evaluate the results of this study a hydroacoustic survey will be conducted, using a scientific echo-sounder BioSonics DT-X. This echo-sounder acquire georeferenced data about the presence, height and depth of SAV in the study area. (AU)

Scientific publications (11)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ROTTA, LUIZ HENRIQUE; MISHRA, DEEPAK R.; ALCANTARA, ENNER; IMAI, NILTON; WATANABE, FERNANDA; RODRIGUES, THANAN. K-d(PAR) and a Depth Based Model to Estimate the Height of Submerged Aquatic Vegetation in an Oligotrophic Reservoir: A Case Study at Nova Avanhandava. REMOTE SENSING, v. 11, n. 3 FEB 1 2019. Web of Science Citations: 0.
ROTTA, LUIZ HENRIQUE S.; MISHRA, DEEPAK R.; WATANABE, FERNANDA S. Y.; RODRIGUES, THANAN W. P.; ALCANTARA, ENNER H.; IMAI, NILTON N. Analyzing the feasibility of a space-borne sensor (SPOT-6) to estimate the height of submerged aquatic vegetation (SAV) in inland waters. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 144, p. 341-356, OCT 2018. Web of Science Citations: 3.
WATANABE, FERNANDA; ALCANTARA, ENNER; RODRIGUES, THANAN; ROTTA, LUIZ; BERNARDO, NARIANE; IMAI, NILTON. Remote sensing of the chlorophyll-a based on OLI/Landsat-8 and MSI/Sentinel-2A (Barra Bonita reservoir, Brazil). Anais da Academia Brasileira de Ciências, v. 90, n. 2, 1, p. 1987-2000, AUG 2018. Web of Science Citations: 4.
WATANABE, FERNANDA; RODRIGUES, THANAN; DO CARMO, ALISSON; ALCANTARA, ENNER; SHIMABUKURO, MILTON; IMAI, NILTON; BERNARDO, NARIANE; ROTTA, LUIZ HENRIQUE. Assessment of Scattering Error Correction Techniques for AC-S Meter in a Tropical Eutrophic Reservoir. REMOTE SENSING, v. 10, n. 5 MAY 2018. Web of Science Citations: 0.
WATANABE, FERNANDA; ALCANTARA, ENNER; IMAI, NILTON; RODRIGUES, THANAN; BERNARDO, NARIANE. Estimation of Chlorophyll-a Concentration from Optimizing a Semi-Analytical Algorithm in Productive Inland Waters. REMOTE SENSING, v. 10, n. 2 FEB 2018. Web of Science Citations: 9.
RODRIGUES, THANAN; MISHRA, DEEPAK R.; ALCANTARA, ENNER; WATANABE, FERNANDA; ROTTA, LUIZ; IMAI, NILTON NOBUHIRO. Retrieving Total Suspended Matter in Tropical Reservoirs Within a Cascade System With Widely Differing Optical Properties. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 10, n. 12, 2, p. 5495-5512, DEC 2017. Web of Science Citations: 0.
FERNANDA SAYURI YOSHINO WATANABE; ENNER HERENIO DE ALCÂNTARA; THANAN WALESZA PEQUENO RODRIGUES; NARIANE MARSELHE RIBEIRO BERNARDO; LUIZ HENRIQUE DA SILVA ROTTA; NILTON NOBUHIRO IMAI. Phytoplankton community dynamic detection from the chlorophyll-specific absorption coefficient in productive inland waters. Acta Limnol. Bras., v. 29, p. -, 2017.
WATANABE, FERNANDA; MISHRA, DEEPAK R.; ASTUTI, IKE; RODRIGUES, THANAN; ALCANTARA, ENNER; IMAI, NILTON N.; BARBOSA, CLAUDIO. Parametrization and calibration of a quasi-analytical algorithm for tropical eutrophic waters. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 121, p. 28-47, NOV 2016. Web of Science Citations: 21.
WATANABE, FERNANDA; RODRIGUES, THANAN; BERNARDO, NARIANE; NTARA, ENNER ALCA; IMAI, NILTON. Drought can cause phytoplankton growth intensification in Barra Bonita reservoir. MODELING EARTH SYSTEMS AND ENVIRONMENT, v. 2, n. 3 SEP 2016. Web of Science Citations: 4.
ROTTA, LUIZ H. S.; MISHRA, DEEPAK R.; ALCANTARA, ENNER H.; IMAI, NILTON N. Analyzing the status of submerged aquatic vegetation using novel optical parameters. International Journal of Remote Sensing, v. 37, n. 16, p. 3786-3810, AUG 20 2016. Web of Science Citations: 7.
THANAN WALESZA PEQUENO RODRIGUES; ULISSES SILVA GUIMARÃES; LUIZ HENRIQUE DA SILVA ROTTA; FERNANDA SAYURI YOSHINO WATANABE; ENNER ALCÂNTARA; NILTON NOBUHIRO IMAI. DELINEAMENTO AMOSTRAL EM RESERVATÓRIOS UTILIZANDO IMAGENS LANDSAT-8/OLI: UM ESTUDO DE CASO NO RESERVATÓRIO DE NOVA AVANHANDAVA (ESTADO DE SÃO PAULO, BRASIL). Bol. Ciênc. Geod., v. 22, n. 2, p. 303-323, Jun. 2016.

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