Remote Sensing of Environment 1999: Vol 67-70 Index

17 Pages·1999·3.6 MB·English

Author Index for Volumes 67—70
Reflection of Spectral Sky Ben-Dor, E.: See Karnieli, A.
the Surface of the Sea and Related Bertuzzi, P.: See Wigneron, J.-P.
70:18] Bicheron, P., Leroy, M.: A Method of Biophysical
Morales. | Parameter Retrieval at Global Scale by Inversion of a
Krabill, W. B Calculation of Ice Vegetation Reflectance Model, 67:251
1 the Jakobshavn Isbrae Area Using Blackburn, G. A.: Relationships between Spectral
Altimetry, 67:194 Reflectance and Pigment Concentrations in Stacks of
A. A., Ross, W. D Gopal S.. Woodcock Deciduous Broadleaves, 70:224
Change Detection Using Adaptive Fuzzy Blackburn, G. A., Steele, C. M.: Towards the Remote
| Net VOTK]S Environmental Damage Assessment Sensing of Matorral Vegetation Physiology:
Gulf War. 70:208 Relationships between Spectral Reflectance, Pigment,
See Lefsky, M. A and Biophy sical Characteristics of Semiarid Bushland
Means, ]. | Canopies, 70:278
See Riggs, G. A Blair, J. B.: See Means, J. E.
See Schuler, D. L Bland, T.: See Elvidge, C. D.
Shibavama, M Boegh, E., Soegaard, H., Hanan, N., Kabat, P., Lesch,
SC Shiba uma, M L.: A Remote Sensing Study of the NDVI-T
ino, E., Salvueci, G. D.: Detection and Use of Relationship and the Transpiration from Sparse
Three Signatures of Soil-Limited Evaporation, 67:105 Vegetation in the Sahel Based on High-Resolution
P.. Atkinson, P. M., Curran, P. J.: Fine Spatial Satellite Data, 69:224
olution Simulated Satellite Sensor Imagery for Bolstad, P.: See Reich, P. B.
wer Mapping in the [ nited Kingdom, 68:206 Bolstad, P. V.: See Thomlinson, J. R.
See Mesarch. M. A Bond, B.: See Ganapol, B. D.
M.: See Aplin r Bouman, B. A. M., van Kraalingen, D. W. G., Stol, W.,
van Leeuwen, H. J. C.: An Agroecological Modeling
Running, S. W Approach to Explain ERS SAR Radar Backscatter of
See Running, S. W Agricultural Crops, 67:137
rie See Deering. D. W Bourgeau-Chavez, L. L. See French, N. H. F.
bosa, P. M., Grégoire, ].-M Pereira, ]. M. C.: An Boyce, M. S.: See Radeloff, V. C.
leorithm for Extracting Burned Areas from Time Breed, C. S.: See Schaber, G. G.
eries of AVHRR GAC Data Applied at a Briggs , J. M.: See Olson, R. |.
ontinental Scale, 69:253 Briggs, |. M.: See Turner, D. P.
Fo: See Weiss. M Broche, P.:; See Forget, P.
Prata, A | Difficulties Associated with Buschmann, C.: See Gitelson, A. A.
,
cation of Cov iriance—Variance Techniques to
l of Atmospheric Water Vapor from Satellite Carder, K.: See Zhang, M.
bY: 6 Carlson, T. N., Sanchez-Azofeifa, G. A.: Satellite
NI Pre lace to Special Issue Spectral Signatures Remote Sensing of Land Use Changes in and around
{ Obiects 6S 193 San José, Costa Rica, 70:247
Bauer, M. | Editorial: Editorial Board and Associate Carpenter, G. A., Gopal, $., Macomber, S., Martens,
Editor Changes, 67:123 S.. Woodcock, C. E.: A Neural Network Method for
Baugh, K. E.: See Elvidge, C. D Mixture Estimation for Vegetation Mapping, 70:135
Becker, | ce Li, Z.-l Carpenter, G. A., Gopal, $., Macomber, S., Martens,
Becker. | Seguin, B S.. Woodcock, C. E., Franklin, J.: A Neural Network
he Ikhodia \ Set Morales Method for Efficient Vegetation Mapping, 70:326
REMOTE SE S. ENVIRON
I S I
\ 0034-4257/99/S—see front matter
Author Index for Volumes 67—70
Reflection of Spectral Sky Ben-Dor, E.: See Karnieli, A.
the Surface of the Sea and Related Bertuzzi, P.: See Wigneron, J.-P.
70:18] Bicheron, P., Leroy, M.: A Method of Biophysical
Morales. | Parameter Retrieval at Global Scale by Inversion of a
Krabill, W. B Calculation of Ice Vegetation Reflectance Model, 67:251
1 the Jakobshavn Isbrae Area Using Blackburn, G. A.: Relationships between Spectral
Altimetry, 67:194 Reflectance and Pigment Concentrations in Stacks of
A. A., Ross, W. D Gopal S.. Woodcock Deciduous Broadleaves, 70:224
Change Detection Using Adaptive Fuzzy Blackburn, G. A., Steele, C. M.: Towards the Remote
| Net VOTK]S Environmental Damage Assessment Sensing of Matorral Vegetation Physiology:
Gulf War. 70:208 Relationships between Spectral Reflectance, Pigment,
See Lefsky, M. A and Biophy sical Characteristics of Semiarid Bushland
Means, ]. | Canopies, 70:278
See Riggs, G. A Blair, J. B.: See Means, J. E.
See Schuler, D. L Bland, T.: See Elvidge, C. D.
Shibavama, M Boegh, E., Soegaard, H., Hanan, N., Kabat, P., Lesch,
SC Shiba uma, M L.: A Remote Sensing Study of the NDVI-T
ino, E., Salvueci, G. D.: Detection and Use of Relationship and the Transpiration from Sparse
Three Signatures of Soil-Limited Evaporation, 67:105 Vegetation in the Sahel Based on High-Resolution
P.. Atkinson, P. M., Curran, P. J.: Fine Spatial Satellite Data, 69:224
olution Simulated Satellite Sensor Imagery for Bolstad, P.: See Reich, P. B.
wer Mapping in the [ nited Kingdom, 68:206 Bolstad, P. V.: See Thomlinson, J. R.
See Mesarch. M. A Bond, B.: See Ganapol, B. D.
M.: See Aplin r Bouman, B. A. M., van Kraalingen, D. W. G., Stol, W.,
van Leeuwen, H. J. C.: An Agroecological Modeling
Running, S. W Approach to Explain ERS SAR Radar Backscatter of
See Running, S. W Agricultural Crops, 67:137
rie See Deering. D. W Bourgeau-Chavez, L. L. See French, N. H. F.
bosa, P. M., Grégoire, ].-M Pereira, ]. M. C.: An Boyce, M. S.: See Radeloff, V. C.
leorithm for Extracting Burned Areas from Time Breed, C. S.: See Schaber, G. G.
eries of AVHRR GAC Data Applied at a Briggs , J. M.: See Olson, R. |.
ontinental Scale, 69:253 Briggs, |. M.: See Turner, D. P.
Fo: See Weiss. M Broche, P.:; See Forget, P.
Prata, A | Difficulties Associated with Buschmann, C.: See Gitelson, A. A.
,
cation of Cov iriance—Variance Techniques to
l of Atmospheric Water Vapor from Satellite Carder, K.: See Zhang, M.
bY: 6 Carlson, T. N., Sanchez-Azofeifa, G. A.: Satellite
NI Pre lace to Special Issue Spectral Signatures Remote Sensing of Land Use Changes in and around
{ Obiects 6S 193 San José, Costa Rica, 70:247
Bauer, M. | Editorial: Editorial Board and Associate Carpenter, G. A., Gopal, $., Macomber, S., Martens,
Editor Changes, 67:123 S.. Woodcock, C. E.: A Neural Network Method for
Baugh, K. E.: See Elvidge, C. D Mixture Estimation for Vegetation Mapping, 70:135
Becker, | ce Li, Z.-l Carpenter, G. A., Gopal, $., Macomber, S., Martens,
Becker. | Seguin, B S.. Woodcock, C. E., Franklin, J.: A Neural Network
he Ikhodia \ Set Morales Method for Efficient Vegetation Mapping, 70:326
REMOTE SE S. ENVIRON
I S I
\ 0034-4257/99/S—see front matter
Author Index 363
farroll, A. L.: See Luther, }. E. Dymond, J. R., Shepherd, J. D.: Comment on
‘echet, R. P.: See Prata, A. |. Topographic Normalization of Landsat TM Images of
‘han, S. S.: See Mesarch, M. A. Forest Based on Subpixel Sun—Canopy-—Sensor
thang, A.: See Tait, A. Geometry,” by Gu and Gillespie Remote Sens
Jhanzy, A.: See Wigneron, J.-P. Environ. 64:166—-175, 1998), 69:194
thauki, H.: See Olioso, A.
then, J. M.: Spatial Scaling of a Remotely Sensed Eck, T. F.: See Deering, D. W.
Surface Parameter by Contexture, 69:30 Eckardt, F. D., Milton, E. | |.: The Relationship
‘lark, R. N.: See Kokaly, R. F. between Time Since Deglaciation and the Reflectance
‘lemente-Colén, P.: See Friedman, K. S. of Glacial Forelands, 67:244
lohen, W. B., Justice, C. O.: Validating MODIS Elvidge, C. D., Baugh, K. E., Dietz, ]. B., Bland, T.
Terrestrial Ecology Products: Linking In Situ and Sutton, P. C., Kroehl, H. W.: Radiance Calibration of
Satellite Measurements, 70:1 DMSP-OLS Low-Light Imaging Data of Human
‘ohen, W. B.: See Letsky, M. A. Settlements, 68:77
Johen, W. See Means, J. E. Erkkilii, A.: See Tokola, T.
‘ohen, W. » Milne, B. T.
‘ohen, W. > Thomlinson, poke.
Fahnestock. M. A: See Scambos. 4 6 \.
‘ohen, W. > Turner, D. P. Fassnacht, K. S.: See Turner, D. P.
vomiso, J. C.: See Massom, R. A. Ferrazzoli, P.: See Wigneron, J.-P.
Jourault, D.: See Olioso, A. Ferrier, G.: Application of Imaging Spectrometer Data
‘ourrier, G.: See Duchemin, B. in Identifying Environmental Pollution Caused by
urran, P. |. See Aplin, P. Mining at Rodaquilar, Spain, 68:125
urran, P. |. See Dawson, T. P. Filho, R. A.: See Galvao, L. S.
durran, P. | See Jago, R. A. Fily, M., Dedieu, J. P., Durand, Y.: Comparison
tutler, M. E. J.: See Jago, R. A. between the Results of a Snow Metamorphism Model
and Remote Sensing Derived Snow Parameters in the
Dahn, H.-G.: See Liideker, W. \lps, 68:254
Dawson, T. P., Curran, P. J., North, P. R. J., Forget, P., Ouillon, $., Lahet, F., Broche, P.: Inversion
Plummer, S. E.: The Propagation of Foliar of Reflectance Spectra of Nonchlorophyllous Turbid
Biochemical Absorption Features in Forest Canopy Coastal Waters, 68:264
Reflectance: A Theoretical Analysis, 67:147 Foster, ].: See Tait, A.
Dedieu, J. P.: See Fily, M. Francois, C.: See Ortlé, C.
Deering, D.: See Gastellu-Etchegorry, J. P. Franklin, J.: See Carpenter, G. A.
Deering, D. W., Eck, T. F., Banerjee, B.: French, N. H. F., Bourgeau-Chavez, L. L Wang, Y..,
Characterization of the Reflectance Anisotropy of Kasischke, E. S.: Initial Observations of Radarsat
Three Boreal Forest Canopies in Spring-Summer, Imagery at Fire-Disturbed Sites in Interior Alaska,
67:205 68:89
Deering, D. W.: See Sandmeier, St. Friedman, K. S., Clemente-Colén, P., Pichel, W. G.
Demarez, V.: See Gastellu-Etchegorry, J. P. Li, X.: Routine Monitoringg of Changegi s in the
de Ruyter de Wildt, M.: See Greuell, W. Columbia Glacier, Alaska, with Synthetic Aperture
Dietz, |. B.: See Elvidge, C. D. Radar, 70:257
Dinguirard, M., Slater, P. N.: Calibration of Space- Furnival, E. P.: See Hill, M. J.
Multispectral Imaging Sensors: A Review, 68:194
Donald, G. E.: See Hill, M. |. Galvao, L. S., Vitorello, [., Filho, R. A.: Effects of
Drake, N. A., Mackin, S., Settle, J. ].: Mapping Band Positioning and Bandwidth on NDVI
Vegetation, Soils, and Geology in Semiarid Shrublands Measurements of Tropical Savannas, 67:15]
Using Spectral Matching and Mixture Modeling of Ganapol, B. D., Johnson, L. F., Hlavka, C. A.,
SWIR AVIRIS Imagery, 65:12 Peterson, D. L., Bond, B.: LCM2: \ Coupled Leal)
Duchemin, B.: NOAA-AVHRR Bidirectional Canopy Radiative Transfer Model, 70:153
Reflectance: Modeling and Application for the Garcia-Haro, F. ]., Gilabert, M. A., Melia, |:
Monitoring of a Temperate Forest, 67:5] Extraction of Endmembers from Spectral Mixtures,
Duchemin, B., Goubier, ]., Courrier, G.: Monitoring 68:237
Phenological Key Stages and Cycle Duration of Gastellu-Etchegorry, J. P., Guillevic, P., Zagolski, F..
Temperate Deciduous Forest Ecosystems with Demarez, V., Trichon, V., Deering, D., Leroy, M.:
NOAA/AVHRR Data, 67:68 Modeling BRF and Radiation Regime of Boreal and
Durand, Y.: See Fily, M. Tropical Forests: I. BRF, 68:25]
See Guillevic, P Hall, F. G.: See Peddle, D. R.
x Conifer Forest Cover with Hallikainen, M.: See Koskinen |.
Mapper Data Using Re flectance Model Hiime, T.: See Shibayama, M.
1 Two Spect il Indices in a Site with Hanan, N.: See Boegh, E.
kground Characteristics, 69:105 Harari-Kremer, R.: See Kadmon, R.
Varjo, ].: Utility of Reflectance Model Harding, D.: See Lefsky, M. A.
sus Two Spectral Indices for Estimating Harding, D. ].: See Means, J. E.
Characteristics in a Boreal Forest Test Harmon, M. E.: See Means, 1: E.
Heino, S.: See Shibavama, M.
Garcifa-Haro, F. | Hibbard, K. A.: See Running, S. W.
Hill, M. ].. Donald, G. E., Vickery, P. ].: Relating
Buschmann, ¢ Lichtenthaler, H. K.: Radar Backscatter to Biophysical Properties of
hvll Fluorescence Ratio F-;/F-y) as an Temperate Perennial Grassland, 67:15
ure of the Chlorophyll Content in Hill, M. J., Vickery, P. J., Furnival, E. P., Donald,
G. E.: Pasture Land Cover in Eastern Australia from
NOAA-AVHRR NDVI and Classified Landsat TM,
g 67:32
ck E., Strahler, A. H.: Fuzzy Hlavka, C. A.: See Ganapol, B. D.
vork } Classification of Global Land Cover Hoekman, D. H.: See van der Sanden, J. J.
AVHRR Data Set, 67:230 Hokedal, ].: See Aas, E.
isin Huete, A. R.: See van Leeuwen, W. J. D.
Inoue, Y.: See Shibayama, M.
lso-livari, L.: See Shibayama, M.
Norman | M.: Direct
Leaf Area Index, fy, and Jackson, T. J.. Moy, L.: Dew Effects on Passive
Perrestrial Ecosystems, Microwave Observations of Land Surfaces, 70:129
Jago, R. A., Cutler, M. E. J., Curran, P. J.: Estimating
Canopy Chlorophyll Concentration from Field and
O'Neill, P. E.: Correction Airborne Spectra, 68:217
Popographic Effects on Jiinne, S.: See Koskinen, J.
ms Rangeland Areas, Johnson, L. F.: See Ganapol, B. D.
Jupp. 1D. s B. See Ni, \\
Justice, C. O.: See Cohen, W. B.
Kabat, P.: See Boegh, E.
Wildt, M.: Anisotropic Kadmon, R., Harari-Kremer, R.: Studying Long-Term
lacier Ice: Measurements anc Vegetation Dynamics Using Digital Processing of
lM Bands 2 and 4 Historical Aerial Photographs, 68:164
Karnieli, A., Kidron, G. J., Glaesser, C., Ben-Dor, E.:
esponse to Dymond and Spectral Characteristics of Cyanobacteria Soil Crust in
Fopographic Normalization Semiarid Environments, 69:67
Forest Based on Subpixel Kasischke, E. S. See French, N. H. F.
reometry” (Remote Sens Kennedy, R. E.: See Turner, D. P.
1998S). 69:195 Kerr, Y.: See Seguin, B.
Kidron, G. J.: See Karnieli, A.
|. P.: Modeling BRF King, C.: See Seguin, B.
lropical Forests: King, D. | : See Lévesque, |.
Klein, A.: See Tait, A.
Kokaly R. F., Clark, R. N.: Spectroscopic
Determination of Leaf Biochemistry Using Band-
Depth Analysis of Absorption Features and Stepwise
Multiple Linear Regression, 67:267
Koskinen, ]., Metsiimiiki, $.. Grandell, J. Jiinne, S..
Matikainen, L., Hallikainen, M.: Snow Monitoring
Using Radar and Optical Satellite Data, 69:16
Author Indeo 365
Kostianoy, A. G.: See Nezlin, N. P. V. L, Stock, L.: Regional Classes of Sea Ice Cover in
Krabill, W. B.: See Abdalati, W. the East Antarctic Pack Observed from Satellite and
Kroehl, H. W.: See Elvidge, C. D. In Situ Data during a Winter Time Period, 68:61
Kucharik, C. ].: See Gower, S. T. Matikainen, L.: See Koskinen, |.
Kvaran, G.: See Scambos, T. A. Miitzler, C., Wiesmann, A.: Extension of the
Microwave Emission Model of Lavered Snowpacks to
Lagouarde, J. P.: See Seguin, B. Coarse-Grained Snow, 70:317
Lahet, F.: See Forget, P. Miitzler, C.: See Weismann, A
Laing, T. W.: See van Leeuwen, W. J. D. McKee, W. A.: See Means, J. E.
Lawrence, R. L., Ripple, W. J.: Calculating Change Means, J. E., Acker, S. A., Harding, D. J., Blair, J. B.
Curves for Multitemporal Satellite Imagery: Mount Lefsky, M. A., Cohen, W. B., Harmon, M. E.,
St. Helens 1980-1995, 67:309 McKee, W. A.: Use of Large-Footprint Scanning
LeDrew, E. F.: See Peddle, E.R. Airborne Lidar to Estimate Forest Stand
Lee, ].-S.: See Schuler, D. L. Characteristics in the Western Cascades of Oregon
Lee, Z.: See Zhang, M. 67:295
Lefsky, M. A., Cohen, W. B., Acker, S. A., Parker, Melia, J.: See Garcia-Haro, F. J.
G. G., Spies, T. A., Harding, D.: Lidar Remote Mesarch, M. A., Walter-Shea, E. A., Asner, G. P.
Sensing of the Canopy Structure and Biophysical Middleton, E. M., Chan, S. S.: A Revised
Properties of Douglas-Fir Western Hemlock Forests Measurement Methodology for Conifer Needles
70:339 Spectral Optical Properties: Evaluating the Influence
Letsky, M. A., Harding, D., Cohen, W. B., Parker, G., of Gaps between Elements, 68:177
Shugart, H. H.: Surface Lidar Remote Sensing of
Metsiimiiki, S.: See Koskinen, J.
Basal Area and Biomass in Deciduous Forests of
Middleton, E. M.: See Mesarch, M. A
Eastern Maryland, USA, 67:83
Milne, B. T., Cohen, W. B.: Multiscale Assessment of
Lefsky, M. A.: See Means, J. E.
Binary and Continuous Landcover Variables for
Lemoine, G.: See Wagner, W.
MODIS Validation, Mapping, and Modeling
Leroy, M.: See Bicheron, P.
\pplications, 70:82
Leroy, M.: See Gastellu-Etchegorry, J. P.
Milton, E. ].: See Eckardt, F. D.
Lesch, L.: See Boegh, E.
Mladenoff, D. J.: See Radeloff, V. C.
Lévesque, |., King, D. J.: Airborne Digital Camera
Morales, F., Belkhodja, R., Goulas, Y., Abadia, J.,
Image Semivariance for Evaluation of Forest
Moya, I.: Remote and Near-Contact Chlorophyll
Structural Damage at an Acid Mine Site, 68:112
Fluorescence during Photosynthetic Induction in Lron-
Li, X.: See Friedman, K. S.
Deficient Sugar Beet Leaves, 69:170
Li, Z.-L., Becker, F., Stoll, M. P., Wan, Z.: Evaluation
Morinaga, S.: See Shibavama, M.
of Six Methods for Extracting Relative Emissivity
Moy, L.: See Jackson, T. J.
Spectra from Thermal Infrared Images, 69:197
Mova, L.: See Morales, F.
Lichtenthaler, H. K.: See Gitelson, A. A.
Muller-Karger, F. E.: See Zhang, M.
Lichtenthaler, H. K.: See Subhash, N.
Muraleedharan, P. M.: See Ramesh Kumar, M. R.
Léfman, S.: See Tokola, T.
Liideker, W., Dahn, H.-G.. Giinther, K. P., Schulz, H.:
Nezlin, N. P., Kostianoy, A. G., Gregoire, M.: Patterns
Laser-Induced Fluorescence—A Method To Detect
of Seasonal and Interannual Changes of Surface
the Vitality of Scots Pines, 68:225
Liideker, W.: See Maier, S. W. ( hlorophyll Concentration in the Black Sea Revealed
Luther, J. E., Carroll, A. L.: Development of an Index from the Remote Sensed Data, 69:43
of Balsam Fir Vigor by Foliar Spectral Reflectance, Ni, W., Woodcock, C. E., Jupp, D. L. B.: Variance in
Bidirectional Reflectance over Discontinuous Plant
69:241
Lytle, V. L.: See Massom, R. A. Canopies, 69:1
Norman, |. M.: See Gower, S. T.
Mackin, S.: See Drake, N. A. North, P. R. J.: See Dawson, T. P.
Macomber, S.: See Carpenter, G. A.
Mah, G. R.: See Olson, R. J. Okayama, H., Wang, L.-Z.: Spatial Coherence
Maier, S. W., Liideker, W., Giinther, K. P.: SLOP: A Degradation of Light Influenced by Temperature and
Revised Version of the Stochastic Model for Leaf Aerosol by Use of Atmospheric Turbulence Chamber,
Optical Properties, 68:273 69:1S9
Martens, S.: See Carpenter, G. A. Olioso, A., Chauki, H., Courault, D., Wigneron, ].-P.:
Massom, R. A., Comiso, J. C., Worby, A. P., Lytle, Estimation of Evapotranspiration and Photosynthesis
Sensing Data into SVAT Ripple, W. ].: See Lawrence, R. L.
8:34] Roberts, D. A.: See Palacios-Orueta, A
See Wigneron, |.-P Ross, W. D.: See Abuelgasim, A. A.
Briggs, |. M., Porter, J]. H., Mah, G. R.. Rott, H.: See Wagner, W.
S. G.: Managing Data trom Multiple Running, S. W., Baldocchi, D. D., Turner, D. P..
Scales, and Sites To Support Synthesis Gower, S. T., Bakwin, P. S., Hibbard, K. A.: A
(O99 Global Terrestrial Monitoring Network Integrating
Goval. S. K Tower Fluxes, Flask Sampling, Ecosystem Modeling
Further Insights into the Use and EOS Satellite Data, 70:108
Covariance Technique for
Water Retrieval, 69:54 Salli, A.: See Shibayama, M.
Salvador, R.: A Parametric Model for Estimating
™ =
Vermote, E. | Operational Relations Between Unprecisely Located Field
ction of Landsat TM Data, 70:4 Measurements and Remotely Sensed Data, 67:99
Salvucci, G. D.: See Amano, E.
Sanchez-Azofeifa, G. A.: See Carlson, T. N.
Sandmeier, St., Deering, D. W.: Structure Analysis and
Ustin, S. L Classification of Boreal Forests Using Airborne
sensing ol Soils in the Santa Hyperspectral BRDF Data from ASAS, 69:25]
erarchical Foreground and Sathe, P. V.: See Ramesh Kumar, M. R.
Scambos, T. A., Kvaran, G., Fahnestock, M. A.:
Improving AVHRR Resolution Through Data
Cumulation for Mapping Polar Ice Sheets, 69:56
KE. F Spectral Schaber, G. G.: SAR Studies in the Yuma Desert.
netri Optical Reflectance Arizona: Sand Penetration, Geology, and the
Biophvsic ul| Structure Detection of Military Ordnance Debris, 67:320
Schaber, G. G., Breed, C. S.: The Importance of SAR
P.M Wavelength in Penetrating Blow Sand in Northern
Arizona, 69:87
Schuler, D. L., Lee, J.-S., Ainsworth, T. L.:
Compensation of Terrain Azimuthal Slope Effects in
Geophysical Parameter Studies Using Polarimetric
SAR Data, 69:139
Schulz, H.: See Liideker, W
Scope J. A.: See Woodruff, D. L.
Seguin, B., Becker, F. Phulpin T., Gu, X. F., Guyot,
G., Kerr, Y., King, C., Lagouarde, J. P., Ottlé,C .
Stoll, M. P., Tabbagh, A., Vidal, A.: IRSUTE: A
Minisatellite Project for Land Surface Heat Flux
M.S Estimation from Field to Regional Seale, 68:357
oliation Using Settle, |. J.: See Drake, N. A.
Elects from Seviried M. S.: See Goval, S. K.
Shepherd, J. D.: See Dymond, J. R.
P. M.. Sathe Shibayama, M., Salli, A.. Hiime, T., Iso-livari, L..
riace Le pel itiire Heino, S., Alanen, M., Morinaga, S., Inoue, Y..
| Indian Ocean in Relation Akivama, T.: Detecting Phenophases of Subarctic
gy Satellite Data, 70:235 Shrub ¢ anopies by Using Automated Reflectance
An Approach Measurements, 67:160
et Primary Shugart, H. H.: See Lefsky, M. A.
ipe Scale and Its Slater, P. N.: See Dinguirard, M.
f EOS NPP Products Soegaard, H.: See Boegh, E
Spies T. A.: See Lefsky M. A.
Ackerman. S \ Sea Io Stafford, S. G.: See Olson R. |
Nl ipping vith the Moderate Steele, C. M.: See Blackburn, G. A.
trol \irborn Stock. L.: See Massom, R. A.
Stol, W.: See Bouman, B. A. M.
Author Index 367
Stoll, M. P.: See Li, Z.-L. Vermote, E. F.: See Ouaidrari, H.
Stoll, M. P.: See Seguin, B. Vickery, P. ].: See Hill, M. J
Strahler, A. H.: See Gopal, S. Vidal, A.: See Seguin, B.
Stumpf, R. P.: See Woodruff, D. L. Vitorello, [.: See Galvao, L. S.
Subhash, N., Wenzel, O., Lichtenthaler, H. K.:
Changes in Blue-Green and Chlorophyll Fluorescence Wagner, W., Lemoine, G., Rott, H.: A Method for
Emission and Fluorescence Ratios during Senescence Estimating Soil Moisture from ERS Scatterometer
of Tobacco Plants, 69:215 and Soil Data, 70:19]
Sutton, P. C.: See Elvidge, C. D. Walter-Shea, E. A.: See Mesarch, M. A.
Wan, Z.: See Li, Z.-L.
Tabbagh, A.: See Seguin, B. Wang, L.-Z.: See Okayama, H.
Tait, A., Hall, D., Foster, J., Chang, A., Klein, A.: Wang, M.: A Sensitivity Study of the SeaWiFS
Detection of Snow Cover Using Millimeter-Wave Atmospheric Correction Algorithm: Effects of Spectral
Band Variations, 67:348
Imaging Radiometer (MIR) Data. 68:53
Thomlinson, J. R., Bolstad, P. V., Cohen, W. B.: Wang, Y. See French, N. H. F.
Weiss, M., Baret, F.: Evaluation of Canopy Biophysical
Coordinating Methodologies for Scaling Landcover
Variable Retrieval Performances from the
Classifications from Site-Specific to Global: Steps
Accumulation of Large Swath Satellite Data, 70:293
toward Validating Global Map Products, 70:16
Wenzel, O.: See Subhash, N.
Tokola, T., Léfman, S., Erkkilii, A.: Relative Calibration
Wiesmann, A., Miitzler, C.: Microwave Emission Model
of Multitemporal Landsat Data for Forest Cover
of Layered Snowpacks, 70:307
Change Detection, 68:1
Wiesmann, A.: See Miitzler, ©.
Trichon, V.: See Gastellu-Etchegorry, J. P.
Wigneron, |.-P., Ferrazzoli, P., Olioso, A., Bertuzzi, P.
Turner, D. P., Cohen, W. B., Kennedy, R. E..
Chanzy, ea Simple \pproach To Monitor Crop
Fassnacht, K. S., Briggs, J. M.: Relationships between
Biomass from C-Band Radar Data, 69:179
Leaf Area Index and Landsat TM Spectral Vegetation
Wigneron, J.-P.: See Olioso, A.
Indices across Three Temperate Zone Sites, 70:52
Woodcock, C. Ie es ee Abuelgasim, A. A
Turner, D. P.: See Reich, P. B.
Woodcock, C. IG o ee Carpenter, G.
Turner, D. P.: See Running, S. W.
Woodcock, C. IA CES. ee Gopal, _B
Ustin, S. L.: See Palacios-Orueta, A.
Woodcock, C. Ii SSe e Ni, W.
Woodruff, D. L., Stumpf, R. P., Scope, J. A., Paerl,
van der Sanden, J. J., Hoekman, D. H.: Potential of
H. W.: Remote Estimation of Water Clarity in
Airborne Radar To Support the Assessment of Land Optically Complex Estuarine Waters, 65:41
Cover in a Tropical Rain Forest Environment, 68:26 Worby, \. P.: See Massom, R. A.
van Kraalingen, D. W. G.: See Bouman, B. A. M.
van Leeuwen, H. J. C.: See Bouman, B. A. M. Zagolski, F.: See Gastellu-Etchegorry, | es
van Leeuwen, W. J. D., Huete, A. R., Laing, T. W.: Zhang, M., Carder, K., Muller-Karger, F. E., Lee, Z
MODIS Vegetation Index Compositing Approach: \ Goldgof, D. B.: Noise Reduction and Atmospheric
Prototype with AVHRR Data, 69:264 Correction for Coastal Applications of Landsat
Varjo, & See Gemmell, F. Thematic Mapper Imagery, 70:167
ELSEVIER
Subject Index for Volumes 67-70
Accuracy Assessment Operational Atmospheric Correction of Landsat TM
An Assessment ol the Accuracy of Land Surface Data, H. Ouaidrari, E. F. Vermote, 70:4
Femperature Determination trom the GMS-5 VISSR, Spatial Coherence Degradation of Light Influenced by
\. J. Prata, R. P. Cechet, 67:1 Temperature and Aerosol by Use of Atmospheric
iluation of Six Methods for Extracting Relative Turbulence Chamber, H. Okayama, L.-Z. Wang,
Emissivity Spectra trom Thermal Infrared Images. 69:1S9
Z.-L. Li, F. Becker, M. P. Stoll, Z. Wan, 69:197
Spati il Resolution Simulated Satellite Sensor AVHRR
Imagery tor Land Coven Mapping in the United An Algorithm for Extracting Burned Areas from Time
Kingdom, P Aplin, P. M. Atkinson, P. J. Curran, Series of AVHRR GAC Data Applied at a
6S8:206 Continental Scale, P. M. Barbosa, J.-M. Grégoire,
\ Par umetric Model for Estimating Re lations Between ]. M. C. Pereira, 69:253
Unpre CISt ly Locate d Field Me asurements and Improving AVHRR Resolution Through Data
| .emotely Sensed Data. R. Salvador, 67:99 Cumulation for Mapping Polar Ice Sheets, T. A.
Scambos, G. Kvaran, M. A. Fahnestock, 69:56
Fuzzy Neural Network Classification of Global Land
Aerial Imagery
Cover from a 1° AVHRR Data Set, S$. Gopal, C. E.
Airborne Digital ] Camera Image Semivariance for Woodcock, A. H. Strahler, 67:230
| uation of Forest Structural Damage at an Acid
MODIS Vegetation Index Compositing Approach: A
| Levesque DD | King 68:112 Prototype with AVHRR Data, W. J. D. van Leeuwen,
Ferm Vegetation Dynamics Using
\. R. Huete, T. W. Laing, 69:264
g of Historical Aerial Photographs
Monitoring Phenological Key Stages and Cycle
K Kadmon Har irl Kreme! 6S:164 Duration of Temperate Deciduous Forest Ecosystems
with NOAA/AVHRR Data, B. Duchemin, |. Goubier,
Algorithms
G. Courrier, 67:65
\ Sensitivity Study of the SeaWiFS Atmospheric
NOAA-AVHRR Bidirectional Reflectance: Modeling
Correction Algorithm: Effectso f Spectral Band and Application for the Monitoring of a Temperate
Variations, M. Wang, 67:34
Forest B. Duchemin, 67:5]
Pasture Land Cover in Eastern Australia from NOAA-
Altimetry AVHRR NDVI and Classified Landsat TM, M. J.
( ulation ocities in the Jakobshavn Isbrac Hill, P. J. Vickery, E. P. Furnival, G. E. Donald.
ser Altimetry. W. Abdalati 67:32
67 194 Remote Estimation of Water Clarity in Optically
Complex Estuarine Waters, D. L. Woodruff, R.
Atmosphere Properties Stumpf, J. A. Scope, H. W. Paerl, 68:41
As" sociat | vith thr Application ol Satellite Remote Sensing of Land Use Changes in and
lance’ Variance Pee hnique s to Retrieval of around San José, Costa Rica, T. N. Carlson, G. A.
heric Water Vapor from Satellite Imagery, L. J. Sanchez-Azofeifa, 70:247
|. Prat Snow Monitoring Using Radar and Optical Satellite
4 Six Methods for Extracting Relative Data, J. Koskinen, S. Metsiimiiki, J. Grandell, S.
Spectra i Thermal Infrared Images Jinne, L. Matikainen, M. Hallikainen, 69:16
P. Stoll, Z. Wan. 69:197
its into the Use of the Split Window Biochemistry
chnique for Precipitabl Water Spectroscopic Determination of Leaf Biochemistry
Ortle. 69:S4 Using Band-Depth Analysis of Absorption Features
| Pahncols
0034-4257/99/S-—see front matter
Subje ct Index 369
and Stepwise Multiple Linear Regression, R. B. A. M. Bouman, D. W. G. van Kraalingen, W. Stol
Kokaly, R. N. Clark, 67:267 H. J. C. van Leeuwen, 67:137
Changes in Blue-Green and Chlorophyll Fluorescence
Calibration Emission and Fluorescence Ratios during Senescence
Calibration of Space-Multispectral Imaging Sensors: A of Tobacco Plants, N. Subhash, O. Wenzel, H. K.
Review, M. Dinguirard, P. N. Slater, 68:194 Lichtenthaler, 69:215
Noise Reduction and Atmospheric Correction for Remote and Near-Contact Chlorophyll Fluorescence
Coastal Applications of Landsat Thematic Mapper during Photosynthetic Induction in Lron-Deficient
Imagery, M. Zhang, K. Carder, F. E. Muller-Karger, Sugar Beet Leaves, F. Morales, R. Belkhodja, Y.
Z. Lee, D. B. Goldgof, 70:167 Goulas, J. Abadia, 1. Moya, 69:170
Relative Calibration of Multitemporal Landsat Data for \ Simple Approach To Monitor Crop Biomass from
Forest Cover Change Detection, T. Tokola, S. C-Band Radar Data, J.-P. Wigneron, P. Ferrazzoli
Léfman, A. Erkkilii, 68:1 \. Olioso, P. Bertuzzi, A. Chanzy, 69:179
Change Curves Data Management
Calculating Change Curves for Multitemporal Satellite Evaluation of Canopy Biophysical Variable Retrieval
Imagery: Mount St. Helens 1980-1995, R. L. Performances from the Accumulation of Large Swath
Satellite Data, M. Weiss, F. Baret, 70:293
Lawrence, W. |. Ripple, 67:309
A Global Terrestrial Monitoring Network Integrating
Change Detection Tower Fluxes, Flask Sampling, Ecosystem Modeling
Change Detection Using Adaptive Fuzzy Neural and EOS Satellite Data, S. W. Running, D. D
Baldocchi, D. P. Turner, S. T. Gower, P. S Jakwin
Networks: Environmental Damage Assessment after
K. A. Hibbard, 70:108
the Gulf War, A. A. Abuelgasim, W. D. Ross, S.
Managing Data from Multiple Disciplines, Scales, and
Gopal, C. E. Woodcock, 70:208
Sites To Support Synthesis and Modeling, R. J.
Relative Calibration of Multitemporal Landsat Data for
Olson, J. M. Briggs, J. H. Porter, G. R Mah, S. G.
Forest Cover Change Detection, T. Tokola, S.
Stafford, 70:99
Lofman, A. Erkkili, 68:1
Desert
Chlorophyll
The Importance of SAR Wavelength in Penetrating
Changes in Blue-Green and Chlorophyll Fluorescence
Blow Sand in Northern Arizona, G. G. Schaber, C. S.
Emission and Fluorescence Ratios during Senescence
Breed, 69:S7
of Tobacco Plants, N. Subhash, O. Wenzel, H. K.
SAR Studies in the Yuma Desert, Arizona: Sand
Lichtenthaler, 69:215
Penetration, Geology, and the Detection of Military
The Chlorophyll Fluorescence Ratio F>;/F>) as an Ordnance Debris, G. G. Schaber, 67:320
Accurate Measure of the Chlorophyll Content in Spectral Characteristics of Cyanobacteria Soil Crust in
Plants, A. A. Gitelson, C. Buschmann, H. K.
Semiarid Environments, A. Karnieli, G. J. Kidron, C.
Lichtenthaler, 69:296 Glaesser, E. Ben-Dor, 69:67
Estimating Canopy Chlorophyll Concentration from
Field and Airborne Spectra, R. A. Jago, M. E. J. Earth Observing Systems
Cutler, P. J. Curran, 68:217
An Approach to Spatially Distributed Modeling of Net
Patterns of Seasonal and Interannual Changes of Primary Production (NPP) at the Landscape Scale
Surface Chlorophyll Concentration in the Black Sea and Its Application in Validation of EOS NPP
Revealed from the Remote Sensed Data, N. P. Products, P. B. Reich, D. P. Turner, P. Bolstad,
Nezlin, A. G. Kostianoy, M. Gregoire, 69:43
70:69
Remote and Near-Contact Chlorophyll Fluorescence Coordinating Methodologies for Scaling Landcover
during Photosynthetic Induction in lron-Deficient Classifications from Site-Specific to Global: Steps
Sugar Beet Leaves, F. Morales, R. Belkhodja, Y. toward Validating Global Map Products, J. R.
Goulas, J. Abadia, 1. Moya, 69:170 Thomlinson, P. V. Bolstad, W. B. Cohen, 70:16
SLOP: A Revised Version of the Stochastic Model for Direct and Indirect Estimation of Leaf Area Index,
Leaf Optical Properties, S$. W. Maier, W. Liideker, K. fiesn, and Net Primary Production of Terrestrial
P. Giinther, 68:273 Ecosystems, $. T. Gower, C. J. Kucharik, J. M.
Norman, 70:29
Crops \ Global Terrestrial Monitoring Network Integrating
An Agroecological Modeling Approach to Explain ERS Tower Fluxes, Flask Sampling, Ecosystem Modeling
SAR Radar Backscatter of Agricultural Crops, and EOS Satellite Data, S$. W. Running, D. D.
Baldocchi, D. P. Turner, S. T. Gower, P. S. Bakwin, L. L. Bourgeau-Chavez, Y. Wang, E. S. Kasischke,
K. A. Hibbard, 70:108 68:59
IRSUTE: A Minisatellite Project for Land Surface
Heat Flux Estimation from Field to Regional Scale, Evaporation
B. Seguin, F. Becker, T. Phulpin, X. F. Gu, G. Detection and Use of Three Signatures of Soil-Limited
Guvot, Y. Kerr, C. King, J. P. Lagouarde,C . Ottlé, Evaporation, E. Amano, G. D. Salvucci, 67:10
M. P. Stoll, A. Tabbagh, A. Vidal, 68:357
Managing Data trom Multiple Disciplines, Scales, and Evapotranspiration
Sites To Support Synthesis and Modeling, R. J. Estimation of Evapotranspiration and Photosynthesis by
Olson, J. M. Briggs, J. H. Porter, G. R. Mah, S. G. Assimilation of Remote Sensing Data into SVAT
Stafford, 70:99 Models, A. Olioso, H. Chauki, D. Courault, J.-P.
MODIS Vegetation Index Compositing Approach: \ Wiegneron, 68:34]
Prototype with AVHRR Data, W. J. D. van Leeuwen,
\. R. Huete, T. W. Laing, 69:264 Field Measurements
Multiscale Assessment of Binary and Continuous \ Parametric Model for Estimating Relations Between
Landcover Variables for MODIS Validation, Mapping, Unprecisely Located Field Measurements and
ind Modeling Applications, B. T Milne, W. B. Remotely Sensed Data, R. Salvador, 67:99
Cohen, 70:82
Operational Atmospheric Correction of Landsat TM
Fire
Data, H. Ouaidrari, E. F. Vermote, 70:4 An Algorithm for Extracting Burned Areas from Time
Radiance Calibration of DMSP-OLS Low-Light
Series of AVHRR GAC Data Applied at a
Imaging Data of Human Settlements, C. D. Elvidge, Continental Scale, P. M. Barbosa, |.-M. Grégoire,
K. E. Baugh, J. B. Dietz, T. Bland, P. C. Sutton,
]. M. C. Pereira, 69:253
H. W. Kroehl, 68:77
Initial Observations of Radarsat Imagery at Fire-
Sea Ice Extent and Classification Mapping with the
Disturbed Sites in Interior Alaska, N. H. F. French
Moderate Resolution Imaging Spectroradiometer
L. L. Bourgeau-Chavez, Y. Wang, E. S. Kasischke,
Airborne Simulator. G. A. Riggs, D. K. Hall, S. A.
68:59
rman, 68:152
lating MODIS Terrestrial Ecology Products:
Fluorescence
ng In Situ and Satellite Measurements. W. B.
Changes in Blue-Green and Chlorophyll Fluorescence
QO. Justice, 70:1
Emission and Fluorescence Ratios during Senescence
of Tobacco Plants, N. Subhash, O. Wenzel, H. K.
Environmental Damage
Lichtenthaler, 69:215
Airborne Digit il Camera Im we Semivariance for
| Val' uation ot Fo. re t Structural Damage at an Acid The Chlorophyll Fluorescence Ratio F-3>/F-) as an
Accurate Measure of the Chlorophyll Content in
|. Lévesque, D. J. King, 68:112
Plants, A. A. Gitelson, C. Buschmann, H. K.
for Extracting Burned Areas from Time
Lichtenthaler, 69:296
AVHRR GAC Data Applied at a
Laser-Induced Fluorescence—A Method To Detect the
Barbosa, J.-M. Grégoire,
Vitality of Scots Pines, W. Liideker, H.-G. Dahn.
K. P. Giinther, H. Schulz, 68:225
ng Spe ctromete! Data in
¢ Environmental Pollution Caused by
ling at Rodagquilar Spain, G Ferrier 68:125 Forests
ulating Change Curves for Multitemporal Satellite Airborne Digital Camera Image Semivariance for
magerv: Mount St. Helens 1980-1995. R. L. Evaluation of Forest Structural Damage at an Acid
\\ ] Rippl 67:309 Mine Site, |. Lévesque, D. |. King, 68:112
ection Using Adaptive Fuzzy Neural Characterization of the Reflectance \nisotropy of
Environmental Damage Assessment after Three Boreal Forest Canopies in Spring-Summer,
War, A. A Abuelgasim W. D. Ross. S. D. W. Deering, T. F. Eck, B. Banerjee, 67:205
Woodcock 70-208 Comment on “Topographic Normalization of Landsat
Pine Budworm Defoliation Using TM Images of Forest Based on Subpixel
Analy]s is: Separating Effects from Sun—Canopy—Sensor Geometry, by Gu and Gillespie
( R ice loff D | Mladenoft M. >. Remote Sens. Environ. 64:166-175, 1998), J. R.
Dymond, J. D. Shepherd, 69:194
ol Radarsat Image rv at Fire- Detecting Jack Pine Budworm Defoliation Using
n Interior Alaska. N. H. F. French. Spectral Mixture Analysis: Separating Effects from