Remote Sensing of Environment 1996: Vol 55-58 Index

14 Pages·1996·5.4 MB·English

m et.
ELSEVIER
Author Index for Volumes 55-58
Abbott, M. R.: See Letelier, R. M. Cayula, J.-F., Cornillon, P.: Cloud Detection from a
Abuelgasim, A. A., Gopal, S., Irons, J. R., Strahler, A. H.: Sequence of SST Images, 55:80
Classification of ASAS Multiangle and Multispectral Cerovic, Z. G.: See Camenen, L.
Measurements Using Artificial Neural Networks, 57:79 Cerovic, Z. G., Goulas, Y., Gorbunov, M., Briantais,
Amparo Gilabert, M., Gandia, S., Melia, J.: Analyses of J. M., Camenen, L., Moya, I.: Fluorosensing of Water
Spectral-Biophysical Relationships for a Corn Canopy, Stress in Plants: Diurnal Changes of the Mean Lifetime
do:11 and Yield of Chlorophyll Fluorescence, Measured Si-
Andreoli, G.: See Jacquemoud, S. multaneously and at Distance With a t-LIDAR and a
Modified PAM-Fluorimeter, in Maize, Sugar Beet, and
Baret, F.: See Fourty, T. Kalanchoe, 58:311
Baret, F.: See Rondeaux, G. Chehbouni, A., Lo Seen D., Njoku, E. G., Monteny,
Bateson, A., Curtiss, B.: A Method for Manual Endmem- B. M.: Examination of the Difference of between Radia-
ber Selection and Spectral Unmixing, 55:219 tive and Aerodynamic Surface Temperatures over
Bennett, B. A.: See Taylor, G. R. Sparsely Vegetated Surfaces, 58:177
Bhandari, S. M., Varma, S. K.: Potential of Simultaneous Chen, J. M., Cihlar, J.: Retrieving Leaf Area of Boreal
Dual-Frequency Radar Altimeter Measurements from Conifer Forests Using Landsat TM Images, 55:153
TOPEX/Poseidon for Rainfall Estimation over Oceans, Chorowicz, J.: See Emran, A.
98:13 Cihlar, J.: Identification of Contaminated Pixels in
Billow, C.: See Dungan, J. AVHRR Compositie Images for Studies of Land Bio-
Bréon, F.-M.: See Leroy, M. sphere, 56:149
Brewer, C. H.: See Carter, G. A. Cihlar, J.: See Chen, J. M.
Briantais, J. M.: See Cerovic, Z. G. Cihlar, J., Ly, H., Xiao, Q.: Land Cover Classification
Briottet, X.: See Cosnefroy, H. with AVHRR Multichannel Composites in Northern
Broche, P.: See Forget, P. Environments, 58:36
Burrage, D. M., Steinberg, C. R., Skirving, W. J., Kley- Clevers, J. G. P. W., van Leeuwen, H. J. C.: Combined
pas, J. A.: Mesoscale Circulation Features of the Great Use of Optical and Microwave Remote Sensing Data
Barrier Reef Region Inferred from NOAA Satellite for Crop Growth Monitoring, 56:42
Imagery, 56:21 Collins, J. B.: See Pax Lenney, M.
Collins, J. B., Woodcock, C. E.: An Assessment of Sev-
Camenen, L.: See Cerovic, Z. G. eral Linear Change Detection Techniques for Mapping
Camenen, L., Goulas, Y., Guyot, G., Cerovic, Z. G., Forest Mortality Using Multitemporal Landsat TM
Schmuck, G., Moya, I.: Estimation of the Chlorophyll Data, 56:66
Fluorescence Lifetime of Plant Canopies: Validation Colton, A. L.: Effective Thermal Parameters for a Het-
of a Deconvolution Method Based on the Use of a 3-D erogeneous Land Surface, 57:143
Canopy Mockup, 58:157 Cornillon, P.: See Cayula, J.-F.
Card, R.: See Ridley, J. Cosnefroy, H., Leroy, M., Briottet, X.: Selection and
Carter, G. A., Jones, J. H., Mitchell, R. J., Brewer, Characterization of Saharan and Arabian Desert Sites
C. H.: Detection of Solar-Excited Chlorophyll a Fluo- for the Calibration of Optical Satellite Sensors, 58:101
rescence and Leaf Photosynthetic Capacity Using a Cridland, S.: See Roderick, M.
Fraunhofer Line Radiometer, 55:89 Curran, PJ.: See Foody, G. M.
Caselles, V.: See Valor, E. Curtiss, B.: See Bateson, A.
REMOTE SENS. ENVIRON. 58:344-348 (1996)
©Elsevier Science Inc., 1996 0034-4257 / 96 / $15.00
655 Avenue of the Americas, New York, NY 10010 PII S0034-4257(96)00229-5
Author Index 345
Danin, A.: See Karnieli, A. of a Green Channel in Remote Sensing of Global
¥
d
a Daughtry, S. T.: See Rudorff, B. F. T. Vegetation from EOS-MODIS, 58:289
e
Demarez, V.: See Gastellu-Etchegarry, J. P. Gopal, S.: See Abuelgasim, A. A.
a
%
Devara, P. C. S.: See Pandithurai, G. Gopal, S.: See Moody, A.
DiMucci, D.: See Hapke, B. Gorbunov, M.: See Cerovic, Z. G.
Dungan, J., Johnson, L., Billow, C., Matson, P., Maz- Goulas, Y.: See Camenen, L.
zurco, J., Moen, J., Vanderbilt, V. High Spectral Reso- Goulas, Y.: See Cerovic, Z. G.
lution Reflectance of Douglas Fir Grown under Granberg, H: See Leblon, B.
Different Fertilization Treatments: Experiment Design Grossman, Y. L., Ustin, S. L., Jacquemoud, S., Sand-
and Treatment Effects, 55:217 erson, E. W., Schmuck, G., Verdebout, J.: Critique of
Stepwise Multiple Linear Regression for the Extraction
of Leaf Biochemistry Information from Leaf Reflec-
Emblanch, C.: See Taconet, O.
tance Data, 56:182
Emery, W. J.: See Privette, J. L.
Guyot, G.: See Camenen, L.
Emery, W. J.: See Yu, Y.
Emran, A., Hakdaoui, M., Chorowicz, J.: Anomalies
on Geologic Maps from Multispectral and Textural Hakdaoui, M.: See Emran, A.
Classification: The Bleida Mining District (Morocco), Hallikainen, M.: See Hyyppa, J.
Hamdi, H.: See Pax Lenney, M.
97:13
Hapke, B., DiMucci, D., Nelson, R., Smythe, W.: The
Ercoli, L.: See Mariotti, M.
Cause of the Hot Spot in Vegetation Canopies and
Soils: Shadow Hiding Versus Coherent Backscatter,
Ferrari, G. M., Hoepfiner, N., Mingazzini, M.: Optical
98:63
Properties of the Water in a Deltaic Environment:
Harrison, A. R.: See Hurcom, S. J.
Prospective Tool to Analyze Satellite Data in Turbid
Hay, G. J., Niemann, K. O., McLean, G. F.: An Object-
Waters, 58:69
Specific Image-Texture Analysis of H-Resolution For-
Foody, G. M., Palubinskas, G., Lucas, R.M., Curran,
est Imagery, 55:108
P.J., Honzak M.: Identifying Terrestrial Carbon Sinks:
Hewson, R. D.: See Taylor, G. R.
Classification of Successional Stages in Regenerating
Hirosawa, Y., Marsh, S. E., Kliman, D. H.: Application of
Tropical Forest from Landsat TM Data, 55:205
Standardized Principal Component Analysis to Land-
Forgan, B. W.: See Mitchell, R. M.
Cover Characterization Using Multitemporal AVHRR
Forget, P., Broche, P.: Slicks, Waves, and Fronts Ob-
Data, 58:267
served in a Sea Coastal Area by an X-Band Airborne
Hoepfiner, N.: See Ferrari, G. M.
Synthetic Aperture Radar, 57:1
Hoffbeck, J. P., Landgrebe, D. A.: Classification of Re-
Fourty, T., Baret, F., Jacquemoud, S., Schmuck, G.,
mote Sensing Images Having High Spectral Resolu-
Verdebout, J.: Leaf Optical Properties with Explicit
tion, 57:119
Description of Its Biochemical Composition: Direct
Holben, B. N.: See Kimes, D. S.
and Inverse Problems, 56:104 Honzak M.: See Foody, G. M.
Hook, S. J., Kahle, A. B.: The Micro Fourier Transform
Interferometer (uFTIR)— A New Field Spectrometer
Gallant, L.: See Leblon, B.
for Acquisition of Infrared Data of Natural Surfaces,
Gandia, S.: See Amparo Gilabert, M.
Gao, B.-C.: NDWI—A Normalized Difference Water 06:172
Hosgood, B.: See Jacquemoud, S.
Index for Remote Sensing of Vegetation Liquid Water
from Space, 58:257 Huete, A. R.: See van Leeuwen, W. J. D.
Humes, K. S.: See Zhan, X.
Gastellu-Etchegarry, J. P., Demarez, V., Pinel, V., Zagol-
ski, F.: Modeling Radiative Transfer in Heterogeneous Hurcom, S. J., Harrison, A. R., Taberner, M.: Assessment
of Biophysical Vegetation Properties through Spectral
3-D Vegetation Canopies, 58:131
Decomposition Techniques, 56:203
Gastellu-Etchegarry, J. P., Zagolski, F., Romier, J.: A
Hyyppa, J., Hallikainen, M.: Applicability of Airborne
Simple Anisotropic Reflectance Model for Homoge-
Profiling Radar to Forest Inventory, 57:39
neous Multilayer Canopies, 57:22
Gastil, M.: See LaCapra, V. C.
Gitelson, A. A., Kaufman, Y. J., Merzlyak, M. N.: Use Irons, J. R.: See Abuelgasim, A. A.
346 Author Index
Jacquemoud, S.: See Fourty, T. Li, Z., Moreau, L.: A New Approach for Remote Sensing
Jacquemoud, S.: See Grossman, Y. L. of Canopy-Absorbed Photosynthetically Active Radia-
Jacquemoud, S., Ustin, S. L., Verdebout, J., Schmuck, tion. I: Total Surface Absorption, 55:175
G., Andreoli, G., Hosgood, B.: Estimating Leaf Bio- Liang, S., Townshend, R. G.: A Modified Hapke Model
chemistry Using the PROSPECT Leaf Optical Proper- for Soil Bidirectional Reflectance, 55:1
ties Model, 56:194 Lodwick, G.: See Roderick, M.
Jakubauskas, M. E.: Thematic Mapper Characterization Lo Seen D.: See Chehbouni, A.
of Lodgepole Pine Seral Stages in Yellowstone National Lucas, RM.: See Foody, G. M.
Park, USA, 56:118 Ly, H.: See Cihlar, J.
Johnson, L.: See Dungan, J.
Jones, J. H.: See Carter, G. A.
Mah, A. H.: See Taylor, G. R.
Malet, P.: Classifying the Geometry of Canopies from
Kahle, A. B.: See Hook, S. J. Time Variations of Red and Near-Infrared Reflectance,
Karnieli, A., Shachak, M., Tsoar, H., Zaady, E., Kaufman, 56:164
Y., Danin, A., Porter, W.: The Effect of Microphytes Mariotti, M., Ercoli, L., Masoni, A.: Spectral Properties
on the Spectral Reflectance of Vegetation in Semiarid of Iron-Deficient Corn and Sunflower Leaves, 58:282
Regions, 57:88 Marsh, S. E.: See Hirosawa, Y.
Kaufman, Y. J.: See Gitelson, A. A. Masoni, A.: See Mariotti, M.
Kaufman, Y. J.: See Karnieli, A. Masuda, K., Takashima, T.: The Effect of Solar Zenith
Kaufman, Y. J.: See Tanré, D. Angle and Surface Wind Speed on Water Surface
Kaufman, Y. J., Tanré, D.: Strategy for Direct and Indi- Reflectivity, 57:58
rect Methods for Correcting the Aerosol Effect on Matson, P.: See Dungan, J.
Remote Sensing: From AVHRR to EOS-MODIS, 55: Mazzurco, J.: See Dungan, J.
65
McKee, W. A.: See Kimes, D. S.
Kierein-Young, K. S.: See Taylor, G. R.
McLean, G. F.: See Hay, G. J.
Kimes, D. S., Holben, B. N., Nickeson, J. E., McKee, Melack, J. M.: See LaCapra, V. C.
W. A.: Extracting Forest Age in a Pacific Northwest Melia, J.: See Amparo Gilabert, M.
Forest from Thematic Mapper and Topographic Data,
Merzlyak, M. N.: See Gitelson, A. A.
506:133 Michael, K. J.: See Rapier, C. B.
Kleypas, J. A.: See Burrage, D. M.
Mingazzini, M.: See Ferrari, G. M.
Kliman, D. H.: See Hirosawa, Y.
Mitchell, R. J.: See Carter, G. A.
Kriebel, K.-T.: On the Limited Validity of Reciprocity
Mitchell, R. M.: Preflight Calibration Anomaly in the
in Measured BRDFs, 58:52 NOAA 14 AVHRR Channels 1 and 2, 56:141
Kruse, F. A.: See Taylor, G. R.
Mitchell, R. M., O’Brien, D. M., Forgan, B. W.: Calibra-
Kustas, W. P.: See Zhan, X.
tion of the AVHRR Shortwave Channels: II. Applica-
tion to NOAA 11 during Early 1991, 55:139
LaCapra, V. C., Melack, J. M., Gastil, M., Valeriano, D.: Moen, J.: See Dungan, J.
Remote Sensing of Foliar Chemistry of Inundated Rice Monteny, B. M.: See Chehbouni, A.
with Imaging Spectrometry, 55:50 Moody, A., Gopal, S., Strahler, A. H.: Artificial Neural
Landgrebe, D. A.: See Hoftbeck, J. P. Network Response to Mixed Pixels in Coarse-Resolu-
Leblon, B., Gallant, L., Granberg, H.: Effects of Shadow- tion Satellite Data, 58:329
ing Types on Ground-Measured Visible and Near- Moody, A., Woodcock, C. E.: Calibration-Based Models
Infrared Shadow Reflectances, 58:322 for Correction of Area Estimates Derived from Coarse
Lee, E. H.: See Rudorff, B. F. T. Resolution Land-Cover Data, 58:225
Leroy, M.: See Cosnefroy, H. Moreau, L.: See Li, Z.
Leroy, M., Bréon, F.-M.: Angular Signatures of Surface Moreau, L., Li, Z.: A New Approach for Remote Sensing
Reflectances from Airborne POLDER Data 57:97 of Canopy-Absorbed Photosynthetically Active Radia-
Letelier, R. M., Abbott, M. R.: An Analysis of Chloro- tion. II: Proportion of Canopy Absorption, 55:192
phyll Fluorescence Algorithms for the Moderate Reso- Moya, I.: See Camenen, L.
lution Imaging Spectrometer (MODIS), 58:215 Moya, I.: See Cerovic, Z. G.
Li, Z.: See Moreau, L. Mulchi, C. L.: See Rudorff, B. F. T.
347
Author Index
Murray, B. C.: See Ray, T. W. Rondeaux, G., Steven, M., Baret, F.: Optimization of
Myneni, R. B.: See Veroustraete, F. Soil-Adjusted Vegetation Indices, 55:95
Myneni, R. B.: See Verstraete, M. M. Rudorff, B. F. T., Mulchi, C. L., Daughtry, S. T., Lee,
E. H.: Growth, Radiation Use Efficiency, and Canopy
Nelson, R.: See Hapke, B. Reflectance of Wheat and Corn Grown under Elevated
Nickeson, J. E.: See Kimes, D. S. Ozone and Carbon Dioxide Atmospheres, 55:163
Ruth, B.: Characterization of the Photosynthetic System
Niemann, K. O.: See Hay, G. J.
by Measuring the Laser-Induced Chlorophyll Fluores-
Nilsson, M.: Estimation of Tree Heights and Stand Vol-
ume Using an Airborne Lidar System, 56:1 cence in the msec Range from Medium Distances, 56:
Njoku, E. G.: See Chehbouni, A. 79
Normand, M.: See Taconet, O.
Sanderson, E. W.: See Grossman, Y. L.
O’Brien, D. M.: See Mitchell, R. M. Schimel, S. S.: See Privette, J. L.
Schmuck, G.: See Camenen, L.
Schmuck, G.: See Fourty, T.
Palacios-Orueta, A., Ustin, S. L.: Multivariate Statistical
Schmuck, G.: See Grossman, Y. L.
Classification of Soil Spectra, 57:108
Schmuck, G.: See Jacquemoud, S.
Palubinskas, G.: See Foody, G. M.
Shachak, M.: See Karnieli, A.
Pandithurai, G., Devara, P. C. S., Raj, P. E., Sharma,
Sharma, S.: See Pandithurai, G.
S.: Aerosol Size Distribution and Refractive Index from
Simpson, J. J..: See Gobat, J. I.
Bistatic Lidar Angular Scattering Measurements in the
Simpson, J. J., Gobat, J. I.: Improved Cloud Detection
Surface Layer, 56:87
for Daytime AVHRR Scenes over Land, 55:21
Patyn, J.: See Veroustraete, F.
Skirving, W. J.: See Burrage, D. M.
Pax Lenney, M., Woodcock, C. E., Collins, J. B., Hamdi,
Smith, R.: See Roderick, M.
H. The Status of Agricultural Lands in Egypt: the
Smythe, W.: See Hapke, B.
Use of Multitemporal NDVI Features Derived from
Stehman, S.: Use of Auxiliary Data to Improve the
Landsat TM, 56:8
Precision of Estimators of Thematic Map Accuracy,
Penaloza, M. A., Welch, R. M.: Feature Selection for
08:169
Classification of Polar Regions Using a Fuzzy Expert
Steinberg, C. R.: See Burrage, D. M.
System, 58:81
Steven, M.: See Rondeaux, G.
Phillips, H.: See Ridley, J.
Strahler, A. H.: See Abuelgasim, A. A.
Pinel, V.: See Gastellu-Etchegarry, J. P.
Strahler, A. H.: See Moody, A.
Pinty, B.: See Verstraete, M. M.
Strawbridge, F.: See Ridley, J.
Porter, W.: See Karnieli, A.
Privette, J. L., Emery, W. J., Schimel, S. S.: Inversion of
a Vegetation Reflectance Model with NOAA AVHRR Taberner, M.: See Hurcom, S. J.
Data, 58:187 Taconet, O., Vidal-Madjar, D., Emblanch, C., Normand,
M.: Taking into Account Vegetation Effects to Estimate
Soil Moisture from C-Band Radar Measurements, 56:
Raj, P. E.: See Pandithurai, G.
Rapier, C. B., Michael, K. J.: The Calibration of a Small, 52
Takashima, T.: See Masuda, K.
Low-Cost Thermal Infrared Radiometer, 56:97
Taylor, G. R., Mah, A. H., Kruse, F. A., Kierein- Young,
Ray, T. W., Murray, B. C.: Nonlinear Spectral Mixing
in Desert Vegetation, 55:59 K. S., Hewson, R. D., Bennett, B. A.: Characterization
of Saline Soils Using Airborne Radar Imagery, 57:127
Richards, J. A.: Classifier Performance and Map Accu-
Townshend, R. G.: See Liang, S.
racy, 57:161
Tsoar, H.: See Karnieli, A.
Ridley, J., Strawbridge, F., Card, R., Phillips, H.: Radar
Backscatter Characteristics of a Desert Surface, 57:63
Ustin, S. L.: See Grossman, Y. L.
Roderick, M., Smith, R., Cridland, S.: The Precision of
Ustin, S. L.: See Jacquemoud, S.
the NDVI Derived from AVHRR Observations, 56:57
Ustin, S. L.: See Palacios-Orueta, A.
Roderick, M., Smith, R., Lodwick, G.: Calibrating Long-
Term AVHRR-Derived NDVI Imagery, 58:1
Romier, J.: See Gastellu-Etchegorry, J. P. Valeriano, D.: See LaCapra, V. C.
348 Author Index
Valor, E., Caselles, V.: Mapping Land Surface Emissivity Vidal-Madjar, D.: See Taconet, O.
from NDVI: Application to European, African, and
Walker N. D.: Satellite Assessment of Mississippi River
South American Areas, 57:167
Plume Variability: Causes and Predictability, 58:21
Vanderbilt, V.: See Dungan, J.
van Leeuwen, H. J. C.: See Clevers, J. G. P. W. Welch, R. M.: See Penaloza, M. A.
Woodcock, C. E.: See Collins, J. B.
van Leeuwen, W. J. D., Huete, A. R.: Effects of Standing
Woodcock, C. E.: See Moody, A.
Litter on the Biophysical Interpretation of Plant Cano-
Woodcock, C. E.: See Pax Lenney, M.
pies, 55:123
Varma, S. K.: See Bhandari, S. M.
Xiao, Q.: See Cihlar, J.
Verdebout, J.: See Fourty, T.
Verdebout, J.: See Grossman, Y. L.
Yu, Y., Emery, W. J.: Satellite Derived Sea Surface
Verdebout, J.: See Jacquemoud, S.
Temperature Variability in the Western Tropical Pa-
Veroustraete, F., Patyn, J.. Myneni, R. B.: Estimating
cific Ocean, 1992-1993, 58:299
Net Ecosystem Exchange of Carbon Using the Normal-
ized Vegetation Index and an Ecosystem Model, 58:
Zaady, E.: See Karnieli, A.
115 Zagolski, F.: See Gastellu-Etchegarry, J. P.
Verstraete, M. M., Pinty, B., Myneni, R. B.: Potential Zhan, X., Kustas, W. P., Humes, K. S.: An Intercompar-
and Limitations of Information Extraction on the Ter- ison Study on Models of Sensible Heat Flux over
restrial Biosphere from Satellite Remote Sensing, 58: Partial Canopy Surfaces with Remotely Sensed Surface
201 Temperature, 58:242
ELSEVIER
Subject Index for Volumes 55-58
Algorithms and Modeling Multivariate Statistical Classification of Soil Spectra, A.
Application of Standardized Principal Component Palacios-Orueta and S. L. Ustin, 57:108
Analysis to Land-Cover Characterization Using Multi- Optimization of Soil-Adjusted Vegetation Indices, G.
temporal AVHRR Data, Y. Hirosawa, S. E. Marsh, and Rondeaux, M. Steven, and F. Baret, 55:95
D. H. Kliman, 58:267 Potential and Limitations of Information Extraction on
Artificial Neural Network Response to Mixed Pixels in the Terrestrial Biosphere from Satellite Remote Sens-
Coarse-Resolution Satellite Data, A. Moody, S. Gopal, ing, M. M. Verstraete, B. Pinty, and R. B. Myneni, 58:
and A. H. Strahler, 58:329 201
Assessment of Biophysical Vegetation Properties Selection and Characterization of Saharan and Arabian
through Spectral Decomposition Techniques, S. J. Desert Sites for the Calibration of Optical Satellite
Sensors, H. Cosnefroy, M. Leroy, and X. Briottet, 58:
Hurcom, A. R. Harrison, and M. Taberner, 56:203
An Assessment of Several Linear Change Detection 101
Techniques for Mapping Forest Mortality Using Mulkti- A Simple Anisotropic Reflectance Model for Homoge-
neous Multilayer Canopies, J. P. Gastellu-Etchegarry,
temporal Landsat TM Data, J. B. Collins and C. E.
F. Zagolski, and J. Romier, 57:22
Woodcock, 56:66
Classification of Remote Sensing Images Having High
Altimetry
Spectral Resolution, J. P. Hoffbeck and D. A. Land-
Applicability of Airborne Profiling Radar to Forest In-
grebe, 57:119
ventory, J. Hyyppa and M. Hallikainen, 57:39
Critique of Stepwise Multiple Linear Regression for the
Estimation of Tree Heights and Stand Volume Using an
Extraction of Leaf Biochemistry Information from Leaf
Airborne Lidar System, M. Nilsson, 56:1
Reflectance Data, Y. L. Grossman, S. L. Ustin, S.
Jacquemoud, E. W. Sanderson, G. Schmuck, and J.
Ancillary Data
Verdebout, 56:182
Use of Auxiliary Data to Improve the Precision of Esti-
Estimating Net Ecosystem Exchange of Carbon Using
mators of Thematic Map Accuracy. S. Stehman, 58:
the Normalized Vegetation Index and an Ecosystem
169
Model, F. Veroustraete, J. Patyn, and R. B. Myneni,
58:115
Area Estimation
Inversion of a Vegetation Reflectance Model with NOAA
Calibration-Based Models for Correction of Area Esti-
AVHRR Data, J. L. Privette, W. J. Emery, and S. S.
mates Derived from Coarse Resolution Land-Cover
Schimel, 58:187
Data, A. Moody and C. E. Woodcock, 58:225
Leaf Optical Properties with Explicit Description of Its
Biochemical Composition: Direct and Inverse Prob- Atmosphere Properties
lems, T. Fourty, F. Baret, S. Jacquemoud, G. Schmuck, Aerosol Size Distribution and Refractive Index from
and J. Verdebout, 56:104 Bistatic Lidar Angular Scattering Measurements in the
A Method for Manual Endmember Selection and Spec- Surface Layer, G. Pandithurai, P. C. S. Devara, P. E.
tral Unmixing, A. Bateson and B. Curtiss, 55:219 Raj, and S. Sharma, 56:87
Modeling Radiative Transfer in Heterogeneous 3-D Veg-
etation Canopies, J. P. Gastellu-Etchegarry, V. De- Atmospheric Effects
marez, V. Pinel, and F. Zagolski, 58:131 Strategy for Direct and Indirect Methods for Correcting
A Modified Hapke Model for Soil Bidirectional Reflec- the Aerosol Effect on Remote Sensing: From AVHRR
tance, S. Liang and R. G. Townshend, 55:1 to EOS-MODIS, Y. J. Kaufman and D. Tanré, 55:65
REMOTE SENS. ENVIRON. 58:349-357 (1996)
©Elsevier Science Inc., 1996 0034-4257 / 96 / $15.00
655 Avenue of the Americas, New York, NY 10010 PII S$0034-4257(96)00230-1
350 Subject Index
AVHRR Identification of Contaminated Pixels in AVHRR Com-
Application of Standardized Principal Component Anal- posite Images for Studies of Land Biosphere, J. Cihlar,
ysis to Land-Cover Characterization Using Multitem- 96:149
poral AVHRR Data, Y. Hirosawa, S. E. Marsh, and Improved Cloud Detection for Daytime AVHRR Scenes
D. H. Kliman, 58:267 over Land, J. J. Simpson and J. I. Gobat, 55:21
Calibrating Long-Term AVHRR-Derived NDVI Imag-
ery, M. Roderick, R. Smith, and G. Lodwick, 58:1 Crops
Calibration of the AVHRR Shortwave Channels: II. Ap- Analyses of Spectral-Biophysical Relationships for a
plication to NOAA 11 during Early 1991, R. M. Mitch- Corn Canopy, M. Amparo Gilabert, S. Gandia, J.
ell, D. M. O’Brien, B. W. Forgan, 55:139 Melia., 55:11
Identification of Contaminated Pixels in AVHRR Com- Combined Use of Optical and Microwave Remote Sens-
posite Images for Studies of Land Biosphere, J. Cihlar, ing Data for Crop Growth Monitoring, J. G. P. W.
96:149 Clevers and H. J. C. van Leeuwen, 56:42
Improved Cloud Detection for Daytime AVHRR Scenes Growth, Radiation Use Efficiency, and Canopy Reflec-
over Land, J. J. Simpson and J. I. Gobat, 55:21 tance of Wheat and Corn Grown under Elevated
Inversion of a Vegetation Reflectance Model with NOAA Ozone and Carbon Dioxide Atmospheres, B. F. T.
AVHRR Data, J. L. Privette, W. J. Emery, and S. S.
Rudorff, C. L. Mulchi, $. T. Daughtry, E. H. Lee, 55:
Schimel, 58:187 163
Land Cover Classification with AVHRR Multichannel Remote Sensing of Foliar Chemistry of Inundated Rice
Composites in Northern Environments, J. Cihlar, H. with Imaging Spectrometry, V. C. LaCapra, J. M. Mel-
Ly, and Q. Xiao, 58:36 ack, M. Gastil, and D. Valeriano, 55:50
Mapping Land Surface Emissivity from NDVI:Applica- Spectral Properties of Iron-Deficient Corn and Sun-
tion to European, African, and South American Areas, flower Leaves, M. Mariotti, L. Ercoli, and Masoni, A.,
E. Valor and V. Caselles, 57:167
08:282
Mesoscale Circulation Features of the Great Barrier The Status of Agricultural Lands in Egypt: the Use of
Reef Region Inferred from NOAA Satellite Imagery, Multitemporal NDVI Features Derived from Landsat
D. M. Burrage, C. R. Steinberg, W. J. Skirving., and TM, M. Pax Lenney, C. E. Woodcock, J. B. Collins.,
J. A. Kleypas, 56:21 and H. Hamdi, 56:8
The Precision of the NDVI Derived from AVHRR Ob-
servations, M. Roderick, R. Smith, and S. Cridland,
Desert
96:57
The Effect of Microphytes on the Spectral Reflectance
Preflight Calibration Anomaly in the NOAA 14 AVHRR
of Vegetation in Semiarid Regions, A. Karnieli, M.
Channels 1 and 2, R. M. Mitchell, 56:141
Shachak, H. Tsoar, E. Zaady, Y. Kaufman, A. Danin,
Satellite Assessment of Mississippi River Plume Variabil-
and W. Porter, 57:88
ity: Causes and Predictability, N. D. Walker, 58:21
Nonlinear Spectral Mixing in Desert Vegetation, T. W.
Strategy for Direct and Indirect Methods for Correcting
Ray and B. C. Murray, 55:59
the Aerosol Effect on Remote Sensing: From AVHRR
Radar Backscatter Characteristics of a Desert Surface,
to EOS-MODIS, Y. J. Kaufman and D. Tanré, 55:65
J. Ridley, F. Strawbridge, R. Card, and H. Phillips, 57:
63
Biogeochemistry
Selection and Characterization of Saharan and Arabian
Desert Sites for the Calibration of Optical Satellite
Change Detection
Sensors, H. Cosnefroy, M. Leroy, and X. Briottet, 58:
An Assessment of Several Linear Change Detection
101
Techniques for Mapping Forest Mortality Using Multi-
temporal Landsat TM Data, J. B. Collins and C. E.
Earth Observing System
Woodcock, 56:66
Strategy for Direct and Indirect Methods for Correcting
Climate the Aerosol Effect on Remote Sensing: From AVHRR
to EOS-MODIS, Y. J. Kaufman and D. Tanré, 55:65
Clouds Use of a Green Channel in Remote Sensing of Global
Cloud Detection from a Sequence of SST Images, J.-F. Vegetation from EOS-MODIS, A. A. Gitelson, Y. J.
Cayula and P. Cornillon, 55:80 Kaufman, and M. N. Merzlyak, 58:289
Subject Index 351
Ecology Fluorosensing of Water Stress in Plants: Diurnal Changes
Estimating Net Ecosystem Exchange of Carbon Using of the Mean Lifetime and Yield of Chlorophyll Fluores-
the Normalized Vegetation Index and an Ecosystem cence, Measured Simultaneously and at Distance With
Model, F. Veroustraete, J. Patyn, and R. B. Myneni, a t-LIDAR and a Modified PAM-Fluorimeter, in
08:115 Maize, Sugar Beet, and Kalanchoe, Z. G. Cerovic., Y.
Identifying Terrestrial Carbon Sinks: Classification of Goulas, M. Gorbunov, J. M. Briantais, L. Camenen,
and I. Moya, 58:311
Successional Stages in Regenerating Tropical Forest
from Landsat TM Data, G. M. Foody, G. Palubinskas,
R. M. Lucas, P. J. Curran., and M. Honzak, 55:205
Forests
A New Approach for Remote Sensing of Canopy-
Applicability of Airborne Profiling Radar to Forest In-
Absorbed Photosynthetically Active Radiation. I: Total
ventory, J. Hyyppa and M. Hallikainen, 57:39
Surface Absorption, Z. Li and L. Moreau, 55:175
An Assessment of Several Linear Change Detection
A New Approach for Remote Sensing of Canopy-
Techniques for Mapping Forest Mortality Using Multi-
Absorbed Photosynthetically Active Radiation. II: Pro-
temporal Landsat TM Data, J. B. Collins and C. E.
portion of Canopy Absorption, L. Moreau and Z. Li,
Woodcock, 56:66
90:192
Estimation of Tree Heights and Stand Volume Using an
Potential and Limitations of Information Extraction on
Airborne Lidar System, M. Nilsson, 56:1
the Terrestrial Biosphere from Satellite Remote Sens-
Extracting Forest Age in a Pacific Northwest Forest
ing, M. M. Verstraete, B. Pinty, and R. B. Myneni, 58:
from Thematic Mapper and Topographic Data, D. S.
201
Kimes, B. N. Holben, J. E. Nickeson, W. A. McKee,
Retrieving Leaf Area of Boreal Conifer Forests Using
56:133
Landsat TM Images, J. M. Chen and J. Cihlar, 55:153
High Spectral Resolution Reflectance of Douglas Fir
Grown under Different Fertilization Treatments: Ex-
Emissivity
periment Design and Treatment Effects, J. Dungan,
Mapping Land Surface Emissivity from NDVI:Applica-
L. Johnson, C. Billow, P. Matson, J. Mazzurco, J. Moen,
tion to European, African, and South American Areas,
and V. Vanderbilt, 55:217
E. Valor and V. Caselles, 57:167
Identifying Terrestrial Carbon Sinks: Classification of
Successional Stages in Regenerating Tropical Forest
Energy Balance
from Landsat TM Data, G. M. Foody, G. Palubinskas,
R. M. Lucas, P. J. Curran., and M. Honzak, 55:205
Evapotranspiration An Object-Specific Image-Texture Analysis of H-Resolu-
tion Forest Imagery, G. J. Hay, K. O. Niemann, and
Fires G. F. McLean, 55:108
Potential of Simultaneous Dual-Frequency Radar Altim-
Fluorescence eter Measurements from TOPEX/Poseidon for Rainfall
An Analysis of Chlorophyll Fluorescence Algorithms Estimation over Oceans, S. M. Bhandari, and S. K.
for the Moderate Resolution Imaging Spectrometer Varma, 58:13
(MODIS), R. M. Letelier and M. R. Abbott, 58:215 Retrieving Leaf Area of Boreal Conifer Forests Using
Characterization of the Photosynthetic System by Mea- Landsat TM Images, J. M. Chen and J. Cihlar, 55:153
suring the Laser-Induced Chlorophyll Fluorescence in Thematic Mapper Characterization of Lodgepole Pine
the msec Range from Medium Distances, B. Ruth, 56: Seral Stages in Yellowstone National Park, USA, M. E.
79 Jakubauskas, 56:118
Detection of Solar-Excited Chlorophyll a Fluorescence
and Leaf Photosynthetic Capacity Using a Fraunhofer
Geographic Information Systems
Line Radiometer, G. A. Carter, J. H. Jones, R. J.
Mitchell, and C. H. Brewer, 55:89
Estimation of the Chlorophyll Fluorescence Lifetime of Geology
Plant Canopies: Validation of a Deconvolution Method Anomalies on Geologic Maps from Multispectral and
Based on the Use of a 3-D Canopy Mockup, L. Ca- Textural Classification: The Bleida Mining District
menen, Y. Goulas, G. Guyot, Z. G. Cerovic, G. (Morocco), A. Emran, M. Hakdaoui, and J. Chorowicz,
Schmuck., and I. Moya, 58:157 97:13
352 Subject Index
Global Change Coarse-Resolution Satellite Data, A. Moody, S. Gopal,
Use of a Green Channel in Remote Sensing of Global and A. H. Strahler, 58:329
Vegetation from EOS-MODIS, A. A. Gitelson, Y. J. Assessment of Biophysical Vegetation Properties
Kaufman, and M. N. Merzlyak, 58:289 through Spectral Decomposition Techniques, S. J.
Hurcom, A. R. Harrison, and M. Taberner, 56:203
An Assessment of Several Linear Change Detection
GOES
Techniques for Mapping Forest Mortality Using Multi-
temporal Landsat TM Data, J. B. Collins and C. E.
Hydrology
Woodcock, 56:66
Optical Properties of the Water in a Deltaic Environ-
Classification of ASAS Multiangle and Multispectral
ment: Prospective Tool to Analyze Satellite Data in
Measurements Using Artificial Neural Networks, A. A.
Turbid Waters, Ferrari, G. M., Hoepffner, N., Mingaz-
Abuelgasim, S$. Gopal, J. R. Irons, and A. H. Strahler,
zini, M., 58:69
97:79
Satellite Assessment of Mississippi River Plume Variabil-
Classification of Remote Sensing Images Having High
ity: Causes and Predictability, N. D. Walker, 58:21
Spectral Resolution, J. P. Hoffbeck and D. A. Land-
grebe, 57:119
Ice
Classifier Performance and Map Accuracy, J. A. Rich-
ards, 57:161
Image Processing
Classifying the Geometry of Canopies from Time Varia-
Artificial Neural Network Response to Mixed Pixels in
tions of Red and Near-Infrared Reflectance, P. Malet,
Coarse-Resolution Satellite Data, A. Moody, S. Gopal,
06:164
and A. H. Strahler, 58:329
Critique of Stepwise Multiple Linear Regression for the
Classification of ASAS Multiangle and Multispectral
Extraction of Leaf Biochemistry Information from Leaf
Measurements Using Artificial Neural Networks, A. A.
Reflectance Data, Y. L. Grossman, S. L. Ustin, S.
Abuelgasim, S. Gopal, J. R. Irons, and A. H. Strahler,
Jacquemoud, E. W. Sanderson, G. Schmuck, and J.
97:79
Verdebout, 56:182
Classification of Remote Sensing Images Having High
Extracting Forest Age in a Pacific Northwest Forest
Spectral Resolution, J. P. Hoffbeck and D. A. Land-
from Thematic Mapper and Topographic Data, D. S.
grebe, 57:119
Kimes, B. N. Holben, J. E. Nickeson, W. A. McKee,
Feature Selection for Classification of Polar Regions
96:133
Using a Fuzzy Expert System, M. A. Penaloza and
Feature Selection for Classification of Polar Regions
R. M. Welch, 58:81
Using a Fuzzy Expert System, M. A. Penaloza and
An Object-Specific Image-Texture Analysis of H-Resolu-
R. M. Welch, 58:81
tion Forest Imagery, G. J. Hay, K. O. Niemann, and
Land Cover Classification with AVHRR Multichannel
G. F. McLean, 55:108
Composites in Northern Environments, J. Cihlar, H.
Retrieving Leaf Area of Boreal Conifer Forests Using
Ly, and Q. Xiao, 58:36
Landsat TM Images, J. M. Chen and J. Cihlar, 55:153
A Method for Manual Endmember Selection and Spec-
tral Unmixing, A. Bateson and B. Curtiss, 55:219
Imaging Spectrometry
A New Approach for Remote Sensing of Canopy-
An Analysis of Chlorophyll Fluorescence Algorithms
Absorbed Photosynthetically Active Radiation. I: Total
for the Moderate Resolution Imaging Spectrometer
Surface Absorption, Z. Li and L. Moreau, 55:175
(MODIS), R. M. Letelier and M. R. Abbott, 58:215 A New Approach for Remote Sensing of Canopy-
Remote Sensing of Foliar Chemistry of Inundated Rice
Absorbed Photosynthetically Active Radiation. II: Pro-
with Imaging Spectrometry, V. C. LaCapra, J. M. Mel-
portion of Canopy Absorption, L. Moreau and Z. Li,
ack, M. Gastil, and D. Valeriano, 55:50 55:192
An Object-Specific Image-Texture Analysis of H-Resolu-
Information Extraction tion Forest Imagery, G. J. Hay, K. O. Niemann, and
Application of Standardized Principal Component Anal- G. F. McLean, 55:108
ysis to Land-Cover Characterization Using Multitem- Potential and Limitations of Information Extraction on
poral AVHRR Data, Y. Hirosawa, S. E. Marsh, and the Terrestrial Biosphere from Satellite Remote Sens-
D. H. Kliman, 58:267 ing, M. M. Verstraete, B. Pinty, and R. B. Myneni, 58:
Artificial Neural Network Response to Mixed Pixels in 201
Subject Index 353
Retrieving Leaf Area of Boreal Conifer Forests Using The Status of Agricultural Lands in Egypt: the Use of
Landsat TM Images, J. M. Chen and J. Cihlar, 55:153 Multitemporal NDVI Features Derived from Landsat
Use of Auxiliary Data to Improve the Precision of Esti- TM, M. Pax Lenney, C. E. Woodcock, J. B. Collins.,
mators of Thematic Map Accuracy. S. Stehman, 58: and H. Hamdi, 56:8
169 Thematic Mapper Characterization of Lodgepole Pine
Seral Stages in Yellowstone National Park, USA, M. E.
Land Classification Jakubauskas, 56:118
Classification of ASAS Multiangle and Multispectral
Measurements Using Artificial Neural Networks, A. A. Land Surface
Abuelgasim, S$. Gopal, J. R. Irons, and A. H. Strahler,
97:79 Leaf Biochemistry
Classification of Remote Sensing Images Having High Critique of Stepwise Multiple Linear Regression for the
Spectral Resolution, J. P. Hoffbeck and D. A. Land- Extraction of Leaf Biochemistry Information from Leaf
grebe, 57:119 Reflectance Data, Y. L. Grossman, S. L. Ustin, S.
Classifier Performance and Map Accuracy, J. A. Rich- Jacquemoud, E. W. Sanderson, G. Schmuck, and J.
ards, 57:161 Verdebout, 56:182
Effective Thermal Parameters for a Heterogeneous Estimating Leaf Biochemistry Using the PROSPECT
Land Surface, A. L. Colton, 57:143 Leaf Optical Properties Model, S. Jacquemoud, S. L.
Feature Selection for Classification of Polar Regions Ustin, J. Verdebout, G. Schmuck, G. Andreoli, and B.
Using a Fuzzy Expert System, M. A. Penaloza and R. Hosgood, 56:194
M. Welch, 58:81 Leaf Optical Properties with Explicit Description of Its
Land Cover Classification with AVHRR Multichannel Biochemical Composition: Direct and Inverse Prob-
Composites in Northern Environments, J. Cihlar, H. lems, T. Fourty, F. Baret, S. Jacquemoud, G. Schmuck,
Ly, and Q. Xiao, 58:36 and J. Verdebout, 56:104
Mapping Land Surface Emissivity from NDVI:Applica- Remote Sensing of Foliar Chemistry of Inundated Rice
tion to European, African, and South American Areas, with Imaging Spectrometry, V. C. LaCapra, J. M. Mel-
E. Valor and V. Caselles, 57:167 ack, M. Gastil, and D. Valeriano, 55:50
An Object-Specific Image-Texture Analysis of H-Resolu-
tion Forest Imagery, G. J. Hay, K. O. Niemann, and Lidar
G. F. McLean, 55:108 Estimation of Tree Heights and Stand Volume Using an
The Status of Agricultural Lands in Egypt: the Use of Airborne Lidar System, M. Nilsson, 56:1
Multitemporal NDVI Features Derived from Landsat
TM, M. Pax Lenney, C. E. Woodcock, J. B. Collins., Mixture Models
and H. Hamdi, 56:8 Artificial Neural Network Response to Mixed Pixels in
Coarse-Resolution Satellite Data, A. Moody, S. Gopal,
Landsat TM and A. H. Strahler, 58:329
An Assessment of Several Linear Change Detection Assessment of Biophysical Vegetation Properties
Techniques for Mapping Forest Mortality Using Multi- through Spectral Decomposition Techniques, S. J.
temporal Landsat TM Data, J. B. Collins and C. E. Hurcom, A. R. Harrison, and M. Taberner, 56:203
Woodcock, 56:66 Combined Use of Optical and Microwave Remote Sens-
Extracting Forest Age in a Pacific Northwest Forest ing Data for Crop Growth Monitoring, J. G. P. W.
from Thematic Mapper and Topographic Data, D. S. Clevers and H. J. C. van Leeuwen, 56:42
Kimes, B. N. Holben, J. E. Nickeson, W. A. McKee, A Method for Manual Endmember Selection and Spec-
96:133 tral Unmixing, A. Bateson and B. Curtiss, 55:219
Identifying Terrestrial Carbon Sinks: Classification of
Successional Stages in Regenerating Tropical Forest Multitemporal
from Landsat TM Data, G. M. Foody, G. Palubinskas, An Assessment of Several Linear Change Detection
R. M. Lucas, P. J. Curran., and M. Honzak, 55:205 Techniques for Mapping Forest Mortality Using Multi-
Retrieving Leaf Area of Boreal Conifer Forests Using temporal Landsat TM Data, J. B. Collins and C. E.
Landsat TM Images, J. M. Chen and J. Cihlar, 55:153 Woodcock, 56:66