Inversion model based on radiactive transfer equation for estimating the chlorophy...
| 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)