Name
Abstract | ||
|---|---|---|
HJ-1A satellite has been lunched in September, 2008. It is calibration and validation that the fundamental of quantitative utilization of HJ-1A IRS imagery. HJ-1A has only one channel in thermal infrared band, compared to MODIS sensor, which has two channels accordingly. The key process of cross-calibration is band match, so this paper uses the MODIS SST product retrieval algorithm as reference for the difference of HJ-1A and MODIS thermal infrared channels characters. TIGR database were used as input parameters into radiative transfer mode Modtran4.0 to obtain band match coefficients by regression analysis. Number 711~1064 datum in TIGR database representing mid-latitude winter were chose according to the selected image's date. Research demonstrates that cross-calibration method is effective to HJ-1A thermal infrared channel 4. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IGARSS.2009.5417906 | IGARSS |
Keywords | Field | DocType |
remote sensing,geophysical equipment,calibration,modis sst product retrieval algorithm,regression analysis,hj-1a,hj-1a irs imagery,thermal infrared band cross calibration,radiative transfer,artificial satellites,hj-1a satellite,cross-calibration,modtran4.0,ad 2008 09,modis sensor,validation,remote monitoring,ocean temperature | Satellite,Thermal infrared,Geodetic datum,Cross Calibration,Computer science,Remote sensing,Communication channel,Radiative transfer,Retrieval algorithm,Calibration | Conference |
Volume | ISSN | ISBN |
3 | 2153-6996 | 978-1-4244-3395-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia-guo Li | 1 | 2 | 2.63 |
| Xingfa Gu | 2 | 54 | 36.00 |
| Li Zhu | 3 | 0 | 0.34 |
| Tao Yu | 4 | 27 | 15.23 |
| Xiaoying Li | 5 | 0 | 1.69 |
| Yuxiang Zhang | 6 | 11 | 15.58 |
| Hailiang Gao | 7 | 3 | 3.54 |
| Hui Gong | 8 | 4 | 3.28 |