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Gege, Peter (2014) WASI-2D - A software tool for regionally optimized analysis of imaging spectrometer data from deep and shallow waters. Computers & Geosciences, 62, pp. 208-215. Elsevier. doi: 10.1016/j.cageo.2013.07.022. ISSN 0098-3004.
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Official URL: http://authors.elsevier.com/sd/article/S0098300413002185
Abstract
An image processing software has been developed which allows quantitative analysis of multi- and hyperspectral data from oceanic, coastal and inland waters. It has been implemented into the Water Colour Simulator WASI, which is a tool for the simulation and analysis of optical properties and light field parameters of deep and shallow waters. The new module WASI-2D can import atmospherically corrected images from airborne sensors and satellite instruments in various data formats and units like remote sensing reflectance or radiance. It can be easily adapted by the user to different sensors and to optical properties of the studied area. Data analysis is done by inverse modelling using established analytical models. The bio-optical model of the water column accounts for gelbstoff (coloured dissolved organic matter, CDOM), detritus, and mixtures of up to 6 phytoplankton classes and 2 spectrally different types of suspended matter. The reflectance of the sea floor is treated as sum of up to 6 substrate types. An analytic model of downwelling irradiance allows wavelength dependent modelling of sun glint and sky glint at the water surface. The provided database covers the spectral range from 350 to 1000 nm in 1 nm intervals. It can be exchanged easily to represent the optical properties of water constituents, bottom types and the atmosphere of the studied area.
| Item URL in elib: | https://elib.dlr.de/85395/ | ||||||||
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| Document Type: | Article | ||||||||
| Title: | WASI-2D - A software tool for regionally optimized analysis of imaging spectrometer data from deep and shallow waters | ||||||||
| Authors: |
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| Date: | January 2014 | ||||||||
| Journal or Publication Title: | Computers & Geosciences | ||||||||
| Refereed publication: | Yes | ||||||||
| Open Access: | Yes | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | Yes | ||||||||
| In ISI Web of Science: | Yes | ||||||||
| Volume: | 62 | ||||||||
| DOI: | 10.1016/j.cageo.2013.07.022 | ||||||||
| Page Range: | pp. 208-215 | ||||||||
| Editors: |
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| Publisher: | Elsevier | ||||||||
| Series Name: | Computer & Geosciences | ||||||||
| ISSN: | 0098-3004 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Remote sensing, water, inversion, bio-optical models, hyperspectral | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Vorhaben Spektrometrische Verfahren und Konzepte der Fernerkundung (old) | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > Experimental Methods | ||||||||
| Deposited By: | Gege, Dr.rer.nat. Peter | ||||||||
| Deposited On: | 18 Nov 2013 08:52 | ||||||||
| Last Modified: | 06 Nov 2023 14:36 |
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