Improvements in virtual sensors: Using spatial information to estimate remote sensing spectra

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 8, Issue , 2005, Pages 5606-5609

  Oza, Nikunj C ^a   Srivastava, Ashok N ^a   Stroeve, Julienne ^b  

^a NASA AMES RESEARCH CENTER   (United States)

^b National Snow and Ice Data Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SPATIAL INFORMATION; SPECTRAL INSTRUMENTS; SPECTRAL MEASUREMENTS; VIRTUAL SENSORS;

COMPUTER SIMULATION; EARTH SCIENCES; IMAGING TECHNIQUES; INFORMATION ANALYSIS; SENSORS; VIRTUAL REALITY;

REMOTE SENSING;

EID: 33745727988     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2005.1526047     Document Type: Conference Paper

References (4)

1. A. Srivastava, N. Oza, and J. Stroeve, "Virtual sensors: Using data mining to efficiently estimate remote sensing spectra," IEEE Transactions on Geosciences and Remote Sensing, Special Issue on Advances in Techniques for Analysis of Remotely Sensed Data, vol. 43, no. 3, pp. 590-600, 2005.
2. J. Stroeve, "Assessment of greenland albedo variability from the avhrr polar pathfinder data set," Journal of Geophysical Research, vol. 33, pp. 989-1034, 2002.
3. P. C. Kyriakidis and A. G. Journel, "Geostatistical space-time models: A review," Mathematical Geology, vol. 31, no. 6, pp. 651-684, 1999.
4. R. Armstrong and M. Brodzik, "Earth-gridded ssm/i data set for cryospheric studies and global change monitoring," in AI Symposium of COSPAR Scientific Commission A, Hamburg, Germany, 1995, pp. 115-163.