Nighttime ASTER thermal imagery as an elevation surrogate for filling SRTM DEM voids

Geophysical Research Letters

Volumn 34, Issue 1, 2007, Pages

  Crippen, Robert E ^a   Hook, Simon J ^a   Fielding, Eric J ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; ERRORS; INFRARED IMAGING; INTERPOLATION; MATHEMATICAL MODELS; METEOROLOGICAL RADAR;

ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER (ASTER); SHUTTLE RADAR TOPOGRAPHIC MISSION;

GEOPHYSICS;

ASTER; DIGITAL ELEVATION MODEL; REMOTE SENSING; SATELLITE IMAGERY;

EID: 34548015427     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006GL028496     Document Type: Article

References (7)

1. ASTER Science Team (1996), Algorithm Theoretical Basis Document for ASTER Level-1 Data Processing (Version 3), 128 pp., Earth Remote Sens. Data Anal. Cent., Tokyo, Japan.
2. Crippen, R.E., and R. G Blom (2001), Unveiling the lithology of vegetated terrains in remotely sensed imagery, Photogramm. Eng. Remote Sens., 67, 935-943,
3. Gillespie, A., S. Rokugawa, T. Matsunaga, J. Cothern, S. Hook, and A. Kahle (1998), A temperature and emissivity separation algorithm For Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images, IEEE Trans. Geosci. Remote Sens., 36, 1113-1126.
4. Grohman, G., G. Kroenung, and J. Strebeck (2006), Filling SRTM voids: The delta surface fill method, Photogramm. Eng. Remote Sens., 72, 213-216.
5. Rodriguez, E., C. S. Morris, and J. E. Belz (2006), A global assessment of the SRTM performance, Photogramm. Eng. Remote Sens., 72, 249-260,
6. Saraf, A., B. Mishra, S. Choudhury, and P. Ghosh (2005), Digital elevation model (DEM) generation from NOAA-AVHRR night-time data and its comparison with USGS-DEM, Int. J. Remote Sens., 26, 3879-3887.
7. Yamaguchi, Y., A. Kahle, H. Tsu, T. Kawakami, and M. Pniel (1998), Overview of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), IEEE Trans. Geosci. Remote Sens., 36, 1062-1071.