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A comparison of radiometric correction techniques in the evaluation of the relationship between LST and NDVI in Landsat imagery 总被引:1,自引:0,他引:1
Atmospheric corrections for multi-temporal optical satellite images are necessary, especially in change detection analyses,
such as normalized difference vegetation index (NDVI) rationing. Abrupt change detection analysis using remote-sensing techniques
requires radiometric congruity and atmospheric correction to monitor terrestrial surfaces over time. Two atmospheric correction
methods were used for this study: relative radiometric normalization and the simplified method for atmospheric correction
(SMAC) in the solar spectrum. A multi-temporal data set consisting of two sets of Landsat images from the period between 1991
and 2002 of Penang Island, Malaysia, was used to compare NDVI maps, which were generated using the proposed atmospheric correction
methods. Land surface temperature (LST) was retrieved using ATCOR3_T in PCI Geomatica 10.1 image processing software. Linear
regression analysis was utilized to analyze the relationship between NDVI and LST. This study reveals that both of the proposed
atmospheric correction methods yielded high accuracy through examination of the linear correlation coefficients. To check
for the accuracy of the equation obtained through linear regression analysis for every single satellite image, 20 points were
randomly chosen. The results showed that the SMAC method yielded a constant value (in terms of error) to predict the NDVI
value from linear regression analysis-derived equation. The errors (average) from both proposed atmospheric correction methods
were less than 10%. 相似文献
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Lim Hwee San Rajab Jasim Al-Salihi Ali Salih Zainab MatJafri Mohd. Zubir 《Environmental science and pollution research international》2022,29(7):9755-9765
Environmental Science and Pollution Research - Air surface temperature (AST) is a crucial importance element for many applications such as hydrology, agriculture, and climate change studies. The... 相似文献
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