Influence of Atmospheric Water Vapour on IRS NIR Measurements for Detecting Vegetation Signal. Part II: Validation of Simulation Results using Hyperion Data |
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| Authors: | Mehul R Pandya Raghavendra Pratap Singh Sushma Panigrahy Jai Singh Parihar |
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| Institution: | 1.Space Applications Centre ISRO,Ambawadi,India |
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| Abstract: | This is the second paper of the series on the influence of the atmospheric water vapour (WV) on IRS NIR measurements. In the
first paper (Pandya et al. 2011) a simulation study was presented where through the radiative transfer calculations it was shown that the variation of 0
to 6 g/cm2 in the WV hampered the IRS NIR reflectance up to 14%. In that study splitting of IRS NIR (0.770–0.860 μm) into two bands,
such as NIR1 (0.775–0.805 μm) and NIR2 (0.845–0.875 μm) was also proposed, which facilitated a considerable improvement in
NIR reflectance as well as in NDVI. Objective of the present paper is to validate the findings of simulation study with the
use of EO1-Hyperion data. An improvement of the order of 7% in the top-of-atmosphere reflectance over vegetation target was
obtained from the satellite data analysis, which is in good agreement to that of simulation results (3.7 to 7.9%) for the
continental WV conditions of 1 to 3 g/cm2. This is also true for NDVI values, which illustrated a good agreement between the satellite observations (2.5%) and simulation
results (2 to 4.6%) for the magnitude of improvement. Findings of the present study are preliminary in the nature but it provides
a basis for enhanced NIR observations for future IRS sensors. |
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