Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/44638
標題: Predicting algal bloom in the Techi reservoir using Landsat TM data
作者: Chang, K.W.
申 雍
Shen, Y.
Chen, P.C.
關鍵字: suspended sediment concentrations;thematic mapper data;water-quality;chlorophyll;temperature;lake;phytoplankton;reflectance;algorithms;pigments
Project: International Journal of Remote Sensing
期刊/報告no:: International Journal of Remote Sensing, Volume 25, Issue 17, Page(s) 3411-3422.
摘要: 
The application of statistical models in a remote sensing field is an indispensable tool. The main purpose of this study was to develop an empirical model to detect algal blooms phenomenon in the Techi reservoir, Taiwan. We used ratios of logarithm transformed radiance values from Landsat Thematic Mapper (TM) data to establish statistical relationships to dinoflagellate densities. The procedure used a forward selection method to develop multiple linear regression models. The selected independent variables matched the dinoflagellate algal cell densities to build the bloom prediction model. The result showed that the bloom prediction model can predict the algal bloom phenomenon with 74% accuracy in this study. The major limits were the spectral sensitivity and spatial resolution of the scanning device. If we can acquire greater spectral sensitivity and spatial resolution in the remote sensing data, we can attain higher model accuracy.
URI: http://hdl.handle.net/11455/44638
ISSN: 0143-1161
DOI: 10.1080/01431160310001620786
Appears in Collections:土壤環境科學系

Show full item record
 

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.