Terrestrial remote sensing science and algorithms planned for EOS/MODIS

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dc.contributor.author Running, SW
dc.contributor.author Justice, CO
dc.contributor.author Salomonson, VV
dc.contributor.author Hall, D
dc.contributor.author Barker, J
dc.contributor.author Kaufmann, YJ
dc.contributor.author Strahler, AH
dc.contributor.author Huete, A
dc.contributor.author Muller, JP
dc.contributor.author Vanderbilt, V
dc.contributor.author Wan, ZM
dc.contributor.author Teillet, P
dc.contributor.author Carneggie, D
dc.date.accessioned 2010-05-28T09:48:00Z
dc.date.issued 1994-01
dc.identifier.citation International journal of remote sensing, 1994, 15 (17), pp. 3587 - 3620
dc.identifier.issn 0143-1161
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/9183
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.
dc.format Yes
dc.publisher Taylor & Francis
dc.relation.isbasedon 10.1080/01431169408954346
dc.title Terrestrial remote sensing science and algorithms planned for EOS/MODIS
dc.type Journal Article
dc.parent International journal of remote sensing
dc.journal.volume 17
dc.journal.volume 15
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 Photogrammetry and Remote Sensing
dc.personcode 108636
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
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Strength - C3
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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