 |
| Titel |
Estimating surface reflectance from Himawari-8/AHI reflectance channels
Using 6SV |
| VerfasserIn |
Kyeong-sang Lee, Sungwon Choi, Minji Seo, Noh-hun Seong, Kyung-Soo Han |
| Konferenz |
EGU General Assembly 2017
|
| Medientyp |
Artikel
|
| Sprache |
en
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250148767
|
| Publikation (Nr.) |
 EGU/EGU2017-13054.pdf |
|
|
|
|
|
| Zusammenfassung |
| TOA (Top Of Atmospheric) reflectance observed by satellite is modified by the influence of
atmosphere such as absorbing and scattering by molecular and gasses. Removing TOA
reflectance attenuation which is caused by the atmospheric is essential. surface reflectance
with compensated atmospheric effects used as important input data for land product such as
Normalized Difference Vegetation Index (NDVI), Land Surface Albedo (LSA) and etc.
In this study, we Second Simulation of a Satellite Signal in the Solar Spectrum
Vector (6SV) Radiative Transfer Model (RTM) for atmospheric correction and
estimating surface reflectance from Himawari-8/Advanced Himawari Imager (AHI)
reflectance channels. 6SV has the advantage that it has high accuracy by performing
the atmospheric correction by dividing the width of the satellite channel by 2.5
nm, but it is slow to use in the operation. So, we use LUT approach to reduce the
computation time and avoid the intensive calculation required for retrieving surface
reflectance. Estimated surface reflectance data were compared with PROBA-V
S1 data to evaluate the accuracy. As a result Root Mean Square Error (RMSE)
and bias were about 0.05 and -0.02. It is considered that this error is due to the
difference of angle component and Spectral Response Function (SRF) of each channel. |
|
|
|
|
|
|