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http://dx.doi.org/10.7780/kjrs.2018.34.6.1.11

Atmospheric Correction Effectiveness Analysis of Reflectance and NDVI Using Multispectral Satellite Image  

Ahn, Ho-yong (National Institute of Agricultural Sciences, Rural Development Administration)
Na, Sang-il (National Institute of Agricultural Sciences, Rural Development Administration)
Park, Chan-won (National Institute of Agricultural Sciences, Rural Development Administration)
So, Kyu-ho (National Institute of Agricultural Sciences, Rural Development Administration)
Lee, Kyung-do (National Institute of Agricultural Sciences, Rural Development Administration)
Publication Information
Korean Journal of Remote Sensing / v.34, no.6_1, 2018 , pp. 981-996 More about this Journal
Abstract
In agriculture, remote sensing data using earth observation satellites have many advantages over other methods in terms of time, space, and efficiency. This study analyzed the changes of reflectance and vegetation index according to atmospheric correction of images before using satellite images in agriculture. Top OF Atmosphere (TOA) reflectance and surface reflectance through atmospheric correction were calculated to compare the reflectance of each band and Normalized Vegetation difference Index (NDVI). As a result, the NDVI observed from field measurement sensors and satellites showed a higher agreement and correlation than the TOA reflectance calculated from surface reflectance using atmospheric correction. Comparing NDVI before and after atmospheric correction for multi-temporal images, NDVI increased after atmospheric corrected in all images. garlic and onion cultivation area and forest where the vegetation health was high area NDVI increased more 0.1. Because the NIR images are included in the water vapor band, atmospheric correction is greatly affected. Therefore, atmospheric correction is a very important process for NDVI time-series analysis in applying image to agricultural field.
Keywords
Atmosphere Correction; TOA Reflectance; Surface Reflectance; NDVI;
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Times Cited By KSCI : 3  (Citation Analysis)
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