Atmospheric correction algorithm for remote sensing data with multi-viewing angles

2002 ◽  
Author(s):  
Y. Kawata ◽  
A. Yamazaki ◽  
T. Kusaka ◽  
S. Ueno ◽  
O. Smokty
Keyword(s):  
Remote Sensing ◽  
Atmospheric Correction ◽  
Remote Sensing Data ◽  
Correction Algorithm ◽  
Sensing Data

scholarly journals Agricultural Stress Monitoring using Remote Sensing Data

2020 ◽  
Vol 9 (3) ◽  
pp. 335-337
Keyword(s):  
Remote Sensing ◽  
Stress Level ◽  
Hyperspectral Image ◽  
Atmospheric Correction ◽  
Remote Sensing Data ◽  
Hyperspectral Remote Sensing ◽  
Hyperspectral Data ◽  
Stress Monitoring ◽  
Chlorophyll Contents ◽  
Sensing Data

This study consist of experiments on Hyperspectral remote sensing data for monitoring field stress using remote sensing tools. We have segmented Hyperspectral image and then calculated stress level using ENVI tool. EO-I hyperspectral remote sensing data from hyperion space born sensor has been used as the key input. QUACK (Quick Atmospheric Correction) algorithm has been used for atmospheric correction of hyperspectral data. EO-1, hyperion sensors data It has been observed that stress level depends on chlorophyll contents of a leaf. It has been observed that green field is with less stress and rock where no chlorophyll contents have most stress. We have also shown stress level in the scale of 1 to 9.

scholarly journals Evaluation of atmospheric correction methods for low to high resolutions satellite remote sensing data

2021 ◽  
Vol 249 ◽  
pp. 105308
Author(s):  
Majid Nazeer ◽  
Christopher Olayinka Ilori ◽  
Muhammad Bilal ◽  
Janet Elizabeth Nichol ◽  
Weicheng Wu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Atmospheric Correction ◽  
Remote Sensing Data ◽  
Sensing Data
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