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International Journal of Remote Sensing Volume 15, 1994 - Issue 17
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Original Articles

Terrestrial remote sensing science and algorithms planned for EOS/MODIS

S. W. RUNNING School of Forestry, University of Montana, Missoula, MT, 59812, U.S.A
,
C. O. JUSTICE Department of Geography, University of Maryland, College Park, MD, 20742, U.S.A
,
V. SALOMONSON NASA/Goddard Space Flight Center, Greenbelt, MD, 20771, U.S.A
,
D. HALL NASA/Goddard Space Flight Center, Greenbelt, MD, 20771, U.S.A
,
J. BARKER NASA/Goddard Space Flight Center, Greenbelt, MD, 20771, U.S.A
,
Y. J. KAUFMANN NASA/Goddard Space Flight Center, Greenbelt, MD, 20771, U.S.A
,
A. H. STRAHLER Center for Remote Sensing, Boston University, Boston, MA, 02215, U.S.A
,
A. R. HUETE Department of Soil and Water Science, University of Arizona, Tuscon, AZ, 85721, U.S.A
,
J.-P. MULLER Department of Photogrammetry and Surveying, University College of London, England, CIE 6BT, U.K
,
V. VANDERBILT NASA Ames Research Center, Moffett Field, CA, 94035, U.S.A
,
Z. M. WAN Computer System Lab./CRSEO, University of California at Santa Barbara, Santa Barbara, CA, 93106, U.S.A
,
P. TEILLET Canada Centre for Remote Sensing, 588 Booth St, Ottawa, Ontario, K1A 0Y7, Canada
&
D. CARNEGGIE U.S.D.I. Geological Survey, EROS Data Center, Sioux Falls, SD, 57198, U.S.A
 show all
Pages 3587-3620 | Published online: 10 May 2007
 
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Abstract

The Moderate Resolution Imaging Spectroradiometer (MODIS) will be the primary daily global monitoring sensor on the NASA Earth Observing System (EOS) satellites, scheduled for launch on the EOS-AM platform in June 1998 and the EOS-PM platform in December 2000. MODIS is a 36 channel radiometer covering 0·415-14·235 μm wavelengths, with spatial resolution from 250 m to 1 km at nadir. MODIS will be the primary EOS sensor for providing data on terrestrial biospheric dynamics and process activity. This paper presents the suite of global land products currently planned for EOSDIS implementation, to be developed by the authors of this paper, the MODIS land team (MODLAND). These include spectral albedo, land cover, spectral vegetation indices, snow and ice cover, surface temperature and fire, and a number of biophysical variables that will allow computation of global carbon cycles, hydrologic balances and biogeochemistry of critical greenhouse gases. Additionally, the regular global coverage of these variables will allow accurate surface change detection, a fundamental determinant of global change.

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