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Global Monthly Vegetation CoverReprint of Original Document |
Introduction Page,
References
Arino, O., G.Dedieu and P.Y.Deschamps, 1992: Determination of land surface spectral
reflectances using Meteosat and NOAA/AVHRR shortwave channel data. Int. J.Remote
Sens, 13, 12, 2264-2287.
Ba, B.M., P.-Y. Deschamps, and R. Frouin, 1995: Error reduction in NOAA satellite monitoring
of the land surface vegetation during FIFE. J. Geoph. Res., in press.
Carlson, T.N., E.M. Perry and T.J. Schmugge, 1990: Remote estimation of soil moisture
availability and fractional vegetation cover for agricultural fields. Agric. For.
Meteor., 52, 45-69.
Cihlar, J., L. St.-Laurent, and J.A. Dyer, 1991: Relation between the normalized difference
vegetation index and ecological variables.Remote Sens. Env.,35, 279-298.
Cihlar, J., D. Manak, and N. Voisin, 1994: AVHRR bidirectional reflectance effects and
composite, Remote Sens. Env., 48, 77-88.
Choudhury, B.J., 1989: Estimating evaporation and carbon assimilation using infrared
temperature data: vistas in modeling, in Theory and Application of Remote Sensing
(G. Asrar, Ed.) Wiley, New York, pp. 628-690.
Curran, P., 1980: Multispectral remote sensing of vegetation amount.Prog. Phys.Geogr.,
4, 315-341.
Dalu, G., 1986: Satellite remote sensing of atmospheric water vapor.Int. J. Remote Sens.,
11, 369-393.
Eck, T.F. and B.N. Holben, 1994: AVHRR split window temperature differences and total
precipitable water over land surfaces.Int. J. Remote Sens.,15, 567-582.
Friedl, M.A. and F.W.Davis, 1994: Sources of variation in radiometric surface temperature over
a tallgrass prairie. Remote Sensing Env., 48, 1-17.
Gallo, K.P. and T.K. Flesch, 1989: Large area crop monitoring with the NOAA AVHRR:
estimating the silking stage of corn development.Remote Sensing Env., 27, 73-80.
Goward, S.N., D.G.Dye, S.Turner, J.Yang, 1993: Objective assessment of the NOAA Global
Vegetation Index Data Product, Int. J. Remote Sensing, 14, 3365-3394.
Gutman, G., 1990: Review of the workshop on the "Use of satellite-derived vegetation indices on
weather and climate prediction models," Bull. Am. Met. Soc. 71 (10), 1458-
1463.
Gutman,G. 1991: Vegetation indices from AVHRR: An update and future prospects. Remote
Sens. Env., 35, 121-136.
Gutman, G., 1994a: Global data on land surface parameters from NOAA AVHRR for use in
numerical climate models. J. Climate,7, 669-680.
Gutman, G., 1994b: Normalization of multi-annual global AVHRR reflectance data over land
surfaces to common sun-target-sensor geometry.Adv. Space Res., 14,
(1)121-(1)124.
Gutman, G., A.Ignatov and S.Olson, 1994: Towards better quality of AVHRR composite images
over land: Reduction of cloud contamination.Remote Sensing Env., 50,
134-148.
Gutman, G., and A.Ignatov, 1995: Global land monitoring from AVHRR: Potential and
limitations. Int. J. Remote Sens., 16, 2301-2309.
Hastings, D.A. and L.Di, 1994: Modeling of global change phenomena with GIS using the global
change data base. II: Prototype synthesis of the AVHRR-based vegetation index from
terrestrial data. Remote Sens. Env., 49, 13-24.
IGBP, 1992: Global Change. Report No.20. Improved global data for land applications: A
proposal for a new high resolution data set. Ed. J.R.G. Townshend. Stockholm, pp.87.
James, M.E. and S.N.V.Kalluri, 1994: The Pathfinder AVHRR land data set: An improved
coarse resolution data set for terrestrial monitoring. Int. J. Remote Sensing, in press.
Justice, C.O., J.R.G.Townshend, B.N.Holben, and C.J.Tucker, 1985: Analysis of the phenology
of global vegetation using meteorological satellite data. Int. J.Rem. Sens., 8 ,
1271-1318.
Justice, C.O, T.Eck, D.Tanr‚, and B.N.Holben, 1991: The effect of water vapor on the
normalized difference vegetation index derived for the Sahelian region from NOAA AVHRR
data. Int. J. Remote Sensing, 12, 1165-1187.
Kaufman, Y.J. and B.N.Holben, 1993: Calibration of AVHRR visible and near-IR bands by
atmospheric scattering, ocean glint and desert reflection. Int. J. Remote Sens,
14, 21-52.
Kerr, Y.H., J.P.Lagouarde and J.Imberton, 1992: Accurate land surface temperature retrieval
from AVHRR data with use of an improved split window algorithm. Remote Sensing
Env., 41, 197-209.
Kidwell, K., 1991: NOAA Polar Orbiter Data Users Guide, U.S. Dept. of Commerce,
NOAA/ National Environmental Satellite Data and Information Service, National Climatic
Data Center, Satellite Data Services Division.
Kidwell, K., 1994: Global Vegetation Index User's Guide, U.S. Dept. of Commerce,
NOAA/ National Environmental Satellite Data and Information Service, National Climatic
Data Center, Satellite Data Services Division.
Kogan, F.N., 1990: Remote sensing of weather impacts on vegetation in non-homogeneous
areas. Int. J. Remote Sensing, 11, 1405-1419.
Kustas, W.P., E.M. Perry, P.C. Doraiswamy, and M.S. Moran, 1994: Using satellite remote
sensing to extrapolate evapotranspiration estimates in time and space over a semiarid
rangeland basin. Remote Sensing Env., 49, 275-286.
Laszlo, I., H.Jacobowitz and A.Gruber, 1988: The relative merits of narrowband channels for
estimating broadband albedos. J. Atmos. Ocean. Techn., 5, 757-773.
Li, Z.L., and F.Becker, 1993, Feasibility of land surface temperature and emissivity
determination from AVHRR data. Remote Sensing Env., 43, 67-85.
Los, S.O., C.O.Justice, and C.J.Tucker, 1994: A global 1ø x 1ø NDVI dataset for climate studies
derived from the GIMMS continental NDVI data. Int. J. Remote Sens., in press.
Malingreau, J.P., 1986: Global vegetation dynamics: satellite observations over Asia. Int.
J.Remote Sensing, 7, 1121-1146.
Mintz, I., and D.Walker, 1990: Land surface energy and water budgets derived with NDVI.
Proc. of the Workshop on the "Use of satellite-derived vegetation indices in weather and
climate prediction models". Camp Springs, MD. February 26-27, 1990.
Nemani, R., L.Pierce, S.Running and S.Goward, 1993: Developing satellite-derived estimates of
surface moisture status. J. Appl. Meteor., 32, 548-557.
Ohring, G., and J.C. Dodge, 1992: The NOAA/NASA Pathfinder. IRS '92: Current problems
in Atmospheric Radiation, 405-408, A. Deepak Publishing, Virginia, USA.
Pinty, B., and M.M.Verstraete, 1992, On the design and validation of surface bidirectional
reflectance and albedo models. Remote Sensing Env., 41, 155-167.
Prata, A.J., 1993: Land surface temperature derived from the Advanced Very High Resolution
Radiometer and the Along-Track Scanning Radiometer. 1. Theory. , J. Geoph. Res.,
98, 16689-16702.
Price, J.C., 1990: Using spatial context in satellite data to infer regional scale evapotranspiration.
IEEE Trans. Geosci. Remote Sens., 28, 940-948.
Price, J.C., 1991: Timing of NOAA afternoon passes. Int. J. Remote Sensing,
12, 193-198.
Rao, C.R.N., 1993: Nonlinearity corrections for the thermal infrared channels of the Advanced
Very High Resolution Radiometer: Assessment and recommendations for corrections. NOAA
Technical Report 69, U.S. Dept. of Commerce, pp. 25.
Rao, C.R.N., and J. Chen, 1994: Post-launch calibration of the visible and near IR channels of
AVHRR on NOAA-7, -9, and -11 spacecraft. NOAA Technical Report NESDIS 78, U.S.
Dept. of Commerce, in press.
Rossow, W.B. and R.A.Schiffer, 1991: ISCCP Cloud Data Products. Bull. Amer. Meteor.
Soc.,72, 2-20.
Roujean, J.L., M.Leroy, A.Podaire, and P.Y.Deschamps, 1992: Evidence of surface reflectance
bidirectional effects from a NOAA/AVHRR multi-temporal data set. Int. J. Remote
Sensing, 13, 685-698.
Rouse, J.W., R.H.Haas, J.A.Schell, and D.W.Deering, 1973: Monitoring vegetation systems in
the great plains with ERTS, Third ERTS Symposium, NASA SP-351 I: 309-317.
Sellers, 1985: Canopy reflectance, photosynthesis, and transpiration. Int. J. Remote
Sensing, 7, 1251-1262.
Stowe, L.L., R.M.Carey, and P.P.Pelegrino, 1992, Monitoring the Mt.Pinatubo aerosol layer with
NOAA-11 AVHRR data, Geophys. Res. Lett., 19, 159-162.
Tanr‚, D., B.N.Holben, and Y.J.Kaufman, 1992: Atmospheric correction algorithm for NOAA-
AVHRR products: Theory and application. IEEE Trans.Geosci.Remote Sensing,
30, 2, 231-248.
Tarpley, J.D., S.R.Schneider, and R.L.Money, 1984: Global vegetation indices from NOAA-7
meteorological satellite. J. Climate Appl. Meteor., 23, 491-494.
Tarpley, J.D., 1991: The NOAA Global Vegetation Index product - A review.
Palaeogeography, Palaeoclimatology, Palaeoecology (Global and Planetary Change
Section), 90, 189-194.
Tateishi, R. and K.Kajiwara, 1991: Land cover monitoring in Asia by NOAA GVI data.
Geocarto International, 4, 53-64.
Thomas, G. and A. Henderson-Sellers, 1987: Evaluation of satellite derived land cover
characteristics for global climate modelling. Climatic Change, 11, 313-347.
Townshend, J.R.G., C.O.Justice and V.Kalb, 1987: Characterization and classification of South
American land cover types using satellite data. Int. J. Remote Sens., 8, 1189-
1207.
Tucker, C.J., 1979: Red and photographic infrared linear combinations for monitoring
vegetation. Remote Sens. Env., 8, 127-150.
Tucker, C.J., J.R.G.Townshend, and T.E.Goff, 1985: African land-cover classification using
satellite data. Science, 227, 369-375.
Tucker, C.J., W.W. Newcomb, S.O. Los, and S.D. Prince, 1991: Mean and inter-year variation of
growing season normalized difference vegetation index for the Sahel 1981-1989. Int. J.
Remote Sens., 12, 1133-1135.
Tuller, S.E., 1968: World distribution of mean monthly and annual precipitable water.
Month. Wea. Review, 11, 785-797.
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