Title :
Estimation of Estuary Phytoplankton using a Web-based Tool for Visualization of Hyper-spectral Images
Author :
Alarcon, Vladimir J. ; van der Zwaag, John ; Moorhead, Robert
Author_Institution :
Inst. of GeoResources, Mississippi State Univ., Starkville, MS
Abstract :
The development of Web-based tools for visualization and processing of hyper-spectral images has been slow. Memory and processing capabilities of personal computers may have precluded the development of Web-based tools. However, fast access to remote databases, increasing microprocessors´ speed, and grid portals that provide interconnection between remote nodes sharing data and computing resources, make possible remote exploration and analysis of hyper-spectral data cubes. This paper presents a Web-based visualization tool for exploring moderate resolution imaging spectroradiometer (MODIS) data cubes. It provides capabilities for individual pixel´s reflectance-spectra visualization, on-the-fly per-pixel calculation and visualization of chlorophyll-a andphytoplankton-carbon concentration values. The Web-based interface also generates normalized difference vegetation index images from the multi-spectral information contained in MODIS datasets. The tool is applied to estimate phytoplankton concentrations in the Saint Louis Bay estuary (Mississippi). Chlorophyll-a estimations produced by the Web-based tool compare well with in-situ measurements from a field survey performed during August 2001. Phytoplankton concentrations are calculated using those estimations of chlorophyll-a concentrations generated by the Web-based tool. The higher spatial resolution provided by the interface allowed estimating constituents concentrations at geographical locations near the coast.
Keywords :
Internet; biology computing; botany; data visualisation; grid computing; image processing; portals; Web-based visualization tool; estuary phytoplankton estimation; grid portals; hyperspectral data cube; hyperspectral image visualization; moderate resolution imaging spectroradiometer; normalized difference vegetation index images; Data analysis; Data visualization; Grid computing; Image databases; MODIS; Microcomputers; Microprocessors; Portals; Vegetation mapping; Visual databases;
Conference_Titel :
Applied Imagery and Pattern Recognition Workshop, 2006. AIPR 2006. 35th IEEE
Conference_Location :
Washington, DC
Print_ISBN :
0-7695-2739-6
Electronic_ISBN :
1550-5219
DOI :
10.1109/AIPR.2006.22