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 researcher: 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

(15)

(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)

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. (15/21586-9, 15/18525-8, 12/19821-1, 13/09045-7)

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. (15/21586-9, 15/18525-8, 12/19821-1, 13/09045-7)

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. (13/09045-7, 15/18525-8, 12/19821-1)

FREIRE DA SILVA, EDSON FILISBINO; LEAO DE MORAES NOVO, EVLYN MARCIA; LOBO, FELIPE DE LUCIA; FARIA BARBOSA, CLAUDIO CLEMENTE; CAIRO, CAROLLINE TRESSMANN; NOERNBERG, MAURICIO ALMEIDA; DA SILVA ROTTA, LUIZ HENRIQUE. A machine learning approach for monitoring Brazilian optical water types using Sentinel-2 MSI. REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, v. 23, AUG 2021. (12/19821-1, 13/09045-7, 14/23903-9, 08/56252-0)

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. (12/19821-1, 13/09045-7)

FERNANDA SAYURI YOSHINO WATANABE; ENNER HERENIO DE ALCÂNTARA; THANAN WALESZA PEQUENO RODRIGUES; NARIANE MARSELHE RIBEIRO BERNARDO; LUIZ HENRIQUE DA SILVA ROTTA; NILTON NOBUHIRO IMAI. Detecção da dinâmica de comunidade fitoplanctônica a partir do coeficiente de absorção específico da clorofila em águas interiores produtivas. Acta Limnol. Bras., v. 29, 2017-10-09. (12/19821-1, 13/09045-7, 15/18525-8, 15/21586-9)

MACIEL, DANIEL ANDRADE; FARIA BARBOSA, CLAUDIO CLEMENTE; LEAO DE MORAES NOVO, EVLYN MARCIA; FLORES JUNIOR, ROGERIO; BEGLIOMINI, FELIPE NINCAO. Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 182, p. 134-152, DEC 2021. (19/15984-2, 11/19523-8, 11/23594-8, 03/06999-8, 08/56252-0, 12/19821-1, 18/12083-1, 13/09045-7, 14/23903-9)

DA SILVA, EDSON FILISBINO FREIRE; NOVO, EVLYN MARCIA LEAO DE MORAES; LOBO, FELIPE DE LUCIA; BARBOSA, CLAUDIO CLEMENTE FARIA; NOERNBERG, MAURICIO ALMEIDA; ROTTA, LUIZ HENRIQUE DA SILVA; CAIRO, CAROLLINE TRESSMANN; MACIEL, DANIEL ANDRADE; FLORES JUNIOR, ROGERIO. Optical water types found in Brazilian waters. LIMNOLOGY, v. 22, n. 1, JUL 2020. (13/09045-7, 14/23903-9, 12/19821-1, 08/56252-0)

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. (13/09045-7, 12/19821-1)

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. (12/19821-1, 13/09045-7)

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. (13/09045-7, 12/19821-1, 15/21586-9)

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. (13/09045-7, 15/21586-9, 15/18525-8, 12/19821-1)

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. (15/21586-9, 12/19821-1, 13/09045-7, 15/18525-8)

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, 2016-06-00. (12/19821-1, 13/09045-7)

WATANABE, FERNANDA S. Y.; MIYOSHI, GABRIELA T.; RODRIGUES, THANAN W. P.; BERNARDO, NARIANE M. R.; ROTTA, LUIZ H. S.; ALCANTARA, ENNER; IMAI, NILTON N.. Inland water's trophic status classification based on machine learning and remote sensing data. REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, v. 19, AUG 2020. (19/00259-0, 12/19821-1, 13/09045-7, 15/21586-9)