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NOAA GVI GUIDE
Appendix A
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Introduction Page,
GVI Guide TOC, Acronyms
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APPENDIX A: Bibliography of AVHRR Land Applications
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., 100
(D12): 25537-25548.
Carlson, T.N., E.M. Perr and T.J. Schmugge, 1990: Remote estimation of soil moisture
availability and fractional vegetation cover for agricultural fields, Agric. For.
Meteor., 52: 45-69.
Che, C.L. and J.C. Price, 1992: Survey of radiometric calibration results and methods for
visible and near-infrared channels of NOAA-7,-9, and -11 AVHRRs, Remote Sens.
Env., 41: 19-27.
Cihlar, J., D. Manak and M. D'Iorio, 1994:Evaluation of compositing algorithms for AVHRR
data over land, IEEE Trans. Geosci. Remote Sens., 32: 427-437.
Cihlar, J., D. Manak and N. Voisin, 1994: AVHRR bidirectional reflectance effects and
composite, Remote Sens. Env., 48: 77-88.
Cihlar, J., L. St.-Lauren and J.A. Dyer, 1991: Relation between the normalized difference
vegetation index and ecological variables, Remote Sens. Env., 35: 279-298.
Choudhury, B.J., 1989: Estimating evaporation and carbon assimilation using infrared
temperature data: vistas in modeling, 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.
Davis, P.A., 1993: Spectral radiance-temperature conversions for measurements by AVHRR
thermal Channels 3,4,5, NOAA Tech Report NESDIS 71, U.S. Dept. of Commerce,
NOAA.
Deering, D.W. and T. F. Eck, 1987: Atmospheric optical depth effects on angular anisotropy
of plant canopy reflectance, Int. J. Remote Sens., 8(6): 893-916.
Dijik, A., S.L. Callis, C.M. Sakamoto and W.L. Decker, 1987: Smoothing vegetation index
profiles: an alternative method for reducing radiometric disturbance in NOAA/AVHRR
data. Photogrammetry Eng. Remote Sensing, 53: 1059-1067.
Duggin, M.J., D. Piwiniski, V. Whitehead and G. Ryland. 1982: Evaluation of NOAA-
AVHRR data for crop assessment. Applied Optics, 21(11): 1873-1875.
Duggin, M.J. and R.W. Saunders, 1984: Problems encountered in remote sensing of land and
ocean surface features. Satellite Sensing of a Cloudy Atmosphere, A. Henderson-Sellers,
ed. Taylor and Francis Publishers, Philadelphia.
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.
Eck, T.F., and V.L. Kalb, 1991: Cloud-screening for Africa using a geographically and
seasonally variable infrared threshold, Int. J. Remote Sens., 12: 1205-1221.
Friedl, M.A. and F.W. Davis, 1994: Sources of variation in radiometric surface temperature
over a tall grass prairie, Remote Sens. Env., 48: 1-17.
Gallaudet, T.C. and J.J. Simpson, 1991: Automated cloud screening of AVHRR imagery
using split and merge clustering, Remote Sens. Env., 38: 77-121.
Gallo, K.P. and T.K. Flesch, 1989: Large area crop monitoring with the NOAA AVHRR
estimating the silking stage of corn development, Remote Sens. Env., 27: 73-80.
Goward, S.N., G.D. Cruickshanks and A.S. Hope, 1985: Observed relation between thermal
emission and reflected spectral radiance of a complex vegetated landscape, Remote Sens.
Env., 18: 137-146.
Goward, S.N., D.J. Dye, S. Turner and J. Yang, 1993: Objective assessment of the NOAA
Global Vegetative Index data products, Int. J. Remote Sensing, 14: 3365-3394.
Goward, S.N., B.Markham, D.G. Dye, W. Dulaney and J. Yang, 1991: Normalized difference
vegetation index measurements from the Advanced Very High Resolution Radiometer,
Remote Sens. Env., 35: 257-277.
Goward, S.N., C.J. Tucker and D.J. Dye, 1985:North American Vegetation Patterns
Observed with the NOAA-7 Advanced Very High Resolution Radiometer, Vegetation,
64: 3-14.
Gutman, G., 1987: The derivation of vegetation indices from AVHRR data. Int. J.
Remote Sensing, 8: 1235-1242.
Gutman, G., 1988: A simple method for estimating monthly mean albedo of land surfaces
from AVHRR data, J. Appl. Meteorol., 27: 973-988.
Gutman, G., 1989: On the relationship between monthly mean and maximum-value
composite vegetation indices. Int. J. Remote Sens., 10(8): 1317-1325.
Gutman, G., 1990a: Towards Monitoring Droughts from Space, J. Climate, 3
(2):282-295.
Gutman, G., 1990b: Review of the workshop on the "Use of satellite-derived vegetation
indices on weather and climate prediction models", Bull. Amer. Meteorol. Soc.,
71(10): 1458-1463.
Gutman, G., 1991: Vegetation indices from AVHRR: An update and future prospects,
Remote Sensing Env., 35: 121-136.
Gutman, G., 1992: Satellite daytime image classification for global studies of Earth's surface
parameters from polar orbiters, Int. J. Remote Sens., 13: 209-234.
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):
121-124.
Gutman, G. and A. Ignatov, 1995: Global Land Monitoring from AVHRR: potential and
limitations, J. of Remote Sens., 16: 2301-2309.
Gutman, G. and A. Ignatov, 1997: Derivation of green vegetation fraction from NOAA/AVHRR
for use in weather prediction models, Int. J. Rem. Sens., in press.
Gutman, G., A. Ignatov and S. Olson, 1994: Towards better quality of AVHRR composite
images over land: Reduction of cloud contamination, Remote Sens. Env., 50:
134-148.
Gutman, G., D. Tarpley, A. Ignatov and S. Olson, 1995: The enhanced NOAA Global Land
datasets from the Advanced Very High Resolution Radiometer. Bull. Amer. Meteorol.
Soc., 76: 1141-1156.
Gutman, G., D. Tarpley and G. Ohring, 1987: Cloud-screening for determination of land
surface characteristics in a reduced resolution data set, Int. J. Remote Sens., 8:
859-870.
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.
Henderson-Sellers, A., 1990: Predicting generalized ecosystem groups with the NCAR CCM:
First steps towards an interactive biosphere, J. Climate, 3: 917-940.
Holben, B.N., 1986: Characteristics of maximum-value composite images from temporal
AVHRR data, Int. J. Remote Sens., 7: 1417-1434.
Holben, B.N. and R.S. Fraser, 1984: Red and near-infrared sensor response to off-nadir
viewing, Int. J. Remote Sens., 5: 145-160.
Holben, B.N., Y.J. Kaufman and J.D. Kendall, 1990: NOAA-11 AVHRR visible and near-IR
inflight calibration, Int. J. Remote Sens., 11(8): 1511-1519.
Holben, B.N., D. Kimes and R.S. Fraser, 1986: Directional reflectance response in AVHRR
Red and near-IR bands for three cover types and varying atmospheric conditions. Remote
Sens. Env., 19: 215-256.
Huete, A.R., 1988: A soil-adjusted vegetation index (SAVI). Remote Sens. Env.,
25: 295-309.
Inoue, T., 1985: On the temperature and effective emissivity determination of semitransparent
cirrus clouds by bi-spectral measurements in the 10 micrometers window region, J.
Meteorol. Soc. Japan, 63: 88-99.
James, M.E. and S.N. Kalluri, 1994: The Pathfinder AVHRR land data set: An improved
coarse resolution data set for terrestrial monitoring, Int. J. Remote Sens., 15:
3347-3363.
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 Sens., 12: 1165-1187.
Justice, C.O., B.N. Holben and M.D. Gwynne, 1986: Monitoring east African vegetation
using AVHRR data, Int. J. Remote Sens., 7: 1435-1474.
Justice, C.O. and J.R.G. Townshend, 1994: Data sets for global remote sensing: lessons
learned, Int. J. Remote Sens., 15: 3621-3639.
Justice, C.O., J.R.G. Townshend, B.M. Holben and C.J. Tucker, 1985: Analysis of the
Phenology of Global Vegetation using Meteorological Satellite Data, Int. J. Remote
Sens., 6(8): 1271-1318.
Kaufman, Y.J. and B.N. Holben, 1993: Calibration of the AVHRR visible and near-IR bands
by atmospheric scattering, ocean glint and desert reflection. Int. J. Remote Sens.,
14(1): 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 Sens. Env.,
41: 197-209.
Kidwell, K.B., 1997: NOAA Polar Orbiter Data Users Guide , U.S. Dept. of Commerce,
NOAA/NESDIS/NCDC/CSD/SSB, 412 pp.
Kogan, F., 1990: Remote sensing of weather impacts on vegetation in non-homogeneous
areas. Int. J. Remote Sensing, 1990, 11(8): 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 Sens. Env., 49: 275-286.
Lambin, E.F. and A.H. Strahler, 1994: Indicators of land-cover change for change-vector
analysis in multi temporal space at coarse spatial scales. Int. J. Remote Sens.,
15: 2099-2119.
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 Sens. Env., 43: 67-85.
Los, S.O., C.O. Justice and C.J. Tucker, 1994: A global 1 x 1 degree NDVI dataset for
climate studies derived from the GIMMS continental NDVI data, Int. J. Remote Sens.,
15: 3493-3518.
Malingreau, J.P., 1986: Global vegetation dynamics: satellite observations over Asia,
Int. J. Remote Sens., 7: 1121-1146.
Moody, A. and A.H. Strahler, 1994: Characteristics of composite AVHRR data and problems
in their classification, Int. J. of Remote Sens., 15: 3473-3491.
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.
Paltridge, G.W. and R.M. Mitchell, 1990: Atmospheric and viewing angle correction of
vegetation indices and grassland fuel moisture content derived from NOAA/AVHRR,
Remote Sens. Env., 31: 121-135.
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.
Geophy. Res., 98: 16689-16702.
Price, J.C., 1987: Calibration of satellite radiometers and the comparison of vegetation
indices, Remote Sens. Env., 21:15-27.
Price, J.C., 1988: An update on visible and near infrared calibration of satellite instruments.
Remote Sens. Env., 24: 419-422.
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 Sens., 12:
193-198.
Prince, S.D. and S.N. Goward, 1996: Evaluation of the NOAA/NASA Pathfinder AVHRR
Land Data Set for global primary production modeling, Int. J. Remote Sensing,
17: 217-221.
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 Tech. Rpt. NESDIS 69, US Dept. of Commerce, NOAA, 25 pp.
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 Tech. Rpt. NESDIS 78, US Dept.
of Commerce, NOAA, 22 pp.
Rao, C.R.N. and J. Chen, 1995: Inter-satellite calibration linkages for the visible and
near-infrared channels of the Advanced Very High Resolution Radiometer on the NOAA-7, -9,
and -11 spacecraft, Int. J. Rem. Sens., 16, 1931-1942.
Rao, C.R.N. and J. Chen, 1996: Post-launch calibration of the visible and near-infrared
channels of the Advanced Very High Resolution Radiometer on the NOAA-14 spacecraft,
Int. J. Rem. Sens., 17, 2743-2747.
Rossow, W.B. and L.C. Garder, 1993: Cloud detection using satellite measurements of
infrared and visible radiances for ISCCP, J. Climate, 2: 419-458.
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.
Saunders, R.W. and K.T. Kriebel, 1988: An improved method for detecting clear sky and
cloudy radiances from AVHRR data, J. Remote Sens., 9: 123-150.
Sellers, 1985: Canopy reflectance, photosynthesis and transpiration, Int. J. Remote Sens.,
7: 1251-1262.
Singh, S.M., 1988a: Simulation of solar zenith angle effect on global vegetation index (GVI)
data. Int. J. Remote Sens., 9: 237-248.
Singh, S.M., 1988b: Lowest order correction for solar zenith angle to Global Vegetation
Index (GVI) data. Int. J. Remote Sens., 9: 1565-1572.
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.
Tanré, D., B.N. Holben and Y.J. Kaufman, 1992: Atmospheric correction algorithm for
NOAA AVHRR products: Theory and application, IEEE Trans. Geosci. Remote Sens.,
30(2): 231-248.
Tarpley, J.D., 1991: The NOAA global vegetation index product - a review,
Palaeogeogr.-Palaeoclim. Palaeoecol., 90, 189-194.
Tarpley, J.D., S.R. Schneider and R.L. Money, 1984: Global Vegetation Indices from the
NOAA-7 Meteorological Satellite, J. Climate and App. Meteorol., 23: 491-494.
Tateishi, R. and K. Kajiwara, 1991: Land cover monitoring in Asia by NOAA GVI data,
Geocarto Int., 4: 53-64.
Taylor, B.F., P.W. Dini and J.W. Kidson, 1985: Determination of seasonal and interannual
variation in New Zealand pasture growth from NOAA-7 data. Remote Sens. of Env.,
18: 177-192.
Teillet, P.M., P.N. Slater, Y. Ding, R.P. Santer, R.D. Jackson and M.S. Moran, 1990: Three
methods for the absolute calibration of the NOAA AVHRR sensors in flight, Remote
Sens. Env., 31: 105-120.
Thomas, G. and A. Henderson-Sellers, 1987: Evaluation of satellite derived land cover
characteristics for global climate modeling, Climate 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.A. Gatlin and S.R. Schneider, 1984: Monitoring vegetation in the Nile Delta
with NOAA-6 and NOAA-7 AVHRR imagery, Photogrammetric Eng. And Remote
Sens., 50: 53-61.
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.
Tucker, C.J., J.R.G. Townshend and T.E. Goff, 1985: African land cover classification using
satellite data, Science, 227: 369-375.
Tueller, P.T. and S.G. Oleson, 1989: Diurnal radiance and shadow fluctuations in a cold
desert shrub plant community. Remote Sens. of Env., 29: 1-13.
Tuller, S.E., 1968: World distribution of mean monthly and annual precipitable water,
Mon. Wea. Rev., 11: 785-797.
Van Dijk, A., S.L. Callis, C.M. Sakamoto and W.L. Decker, 1987: Smoothing vegetation
index profiles: an alternative method for reducing radiometric disturbance in NOAA/AVHRR
data, Photogramm. Eng. Remote Sens., 53: 1059-1067.
Viovy, N., O. Arino and A.S. Belward, 1992: The best index slope extraction (BISE): a
method for reducing noise in NDVI time-series, Int. J. Remote Sens., 13:
1585-1590.
Weinreb, M.P., G. Hamilton, S. Brown and R. Koczor, 1990: Nonlinearity corrections in
calibration of AVHRR infrared channels, J. Geophys. Res., 95(C5): 7381-7388.