Terrestrial remote sensing science and algorithms planned for EOS/MODIS

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dc.contributor.author Running, Steven en_US
dc.contributor.author Justice, C en_US
dc.contributor.author Salomonson, Vincent en_US
dc.contributor.author Hall, David en_US
dc.contributor.author Barker, J en_US
dc.contributor.author Kaufmann, Y en_US
dc.contributor.author Strahler, A en_US
dc.contributor.author Huete, Alfredo en_US
dc.contributor.author Muller, J en_US
dc.contributor.author Vanderbilt, V en_US
dc.contributor.author Wan, Z en_US
dc.contributor.author Teillet, P en_US
dc.contributor.author Carneggie, D en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:48:00Z
dc.date.available 2010-05-28T09:48:00Z
dc.date.issued 1994 en_US
dc.identifier 2009001200 en_US
dc.identifier.citation Running S et al. 1994, 'Terrestrial remote sensing science and algorithms planned for EOS/MODIS', Taylor & Francis, vol. 15, no. 17, pp. 3587-3620. en_US
dc.identifier.issn 0143-1161 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/9183
dc.description.abstract en_US
dc.description.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 ?m 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. en_US
dc.language en_US
dc.publisher Taylor & Francis en_US
dc.relation.isbasedon en_US
dc.relation.isbasedon http://dx.doi.org/10.1080/01431169408954346 en_US
dc.title Terrestrial remote sensing science and algorithms planned for EOS/MODIS en_US
dc.parent International journal of remote sensing en_US
dc.journal.volume 15 en_US
dc.journal.number 17 en_US
dc.publocation United Kingdom en_US
dc.identifier.startpage 3587 en_US
dc.identifier.endpage 3620 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 090905 en_US
dc.personcode 0000058788 en_US
dc.personcode 0000058789 en_US
dc.personcode 0000058790 en_US
dc.personcode 0000045962 en_US
dc.personcode 0000058791 en_US
dc.personcode 0000058792 en_US
dc.personcode 0000058793 en_US
dc.personcode 108636 en_US
dc.personcode 0000058794 en_US
dc.personcode 0000058795 en_US
dc.personcode 0000058796 en_US
dc.personcode 0000058797 en_US
dc.personcode 0000058798 en_US
dc.percentage 100 en_US
dc.classification.name Photogrammetry and Remote Sensing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords en_US
dc.description.keywords NA en_US


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