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Remote Sensing of Environment 1994: Vol 47-50 Index PDF

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Preview Remote Sensing of Environment 1994: Vol 47-50 Index

REMOTE SENS. ENVIRON. 50:353-359 (1994) Author Index for Volumes 47-506 Aase,J . K.: See Frank, A. B. Campbell, T. A.: See Abbott, J A. Abbott, J. A., Campbell, T. A., Massie, D. R.: Delayed Light Carbeil, H.: See Mouginis-Mark, P. J. Emission and Fluorescence Responses of Plants to Chilling, Carter, G. A., Miller, R. L.: Early Detection of Plant Stress by 47:87 Digital Imaging within Narrow Stress-Sensitive Wavebands, Abuelgasim, A. A. Strahler, A. H.: Modeling Bidirectional Ra- 50:295 diance Measurements Collected by the Advanced Solid- Caselles, V.: See Coll C. State Array Spectroradiometer (ASAS) over Oregon Cecchi, G.: See Valentini, R. Transect Conifer Forests, 47:261 Cecchi, G., Mazzinghi, P., Pantani, L., Valentini, R., Tirelli, Adams, P.: See Rignot, E. D., De Angelis, P.: Remote Sensing of Chlorophyll a Fluo- Agati, G.: See Valentini, R. rescence of Vegetation Canopies: 1. Near and Far Field Ahmed, N. U.: See Choudhury, B. J. Measurement Techniques, 47:18 Andrieu, B., Sohbi, Y., Ivanov, N.: A Direct Method to Meas- Cetin, H.: See Warner, T. A. ure Bidirectional Gap Fraction in Vegetation Canopies, Chappelle, E. W.: See McMurtery,J . E., ill 50:61 Chappelle, E. W., Lichtenthaler, H.: Fluorescence Measure- Arnone, R..: see Estep, L. ments of Vegetation, 47:1 Asrar, G.: See Myneni, R. B. Chauhan, N. S.: See Lang, R. H. Atkinson, P. M., Webster, R., Curran, P. J.: Cokriging with Chehbouni, A.: See Qi,J . Airborne MSS Imagery, 50:335 Cheney, R. E.: See Yan, X.-H. Choudhury, B. J.: Synergism of Multispectral Satellite Obser- Banallegue, M.: See Taconet, O. vations for Estimating Regional Land Surface Evaporation, Banin, A.: See Ben-Dor, E. 49:264 Baret, F., Vanderbilt, V. C., Steven, M. D., Jacquemoud, S.: Choudhury, B. J.: See Sippel, S. J. Use of Spectral Analogy to Evaluate Canopy Reflectance Choudhury, B. J., Ahmed, N. U., Idso, S. B., Reginato, R.J ., Sensitivity to Leaf Optical Properties, 48:253 Daughtry, C. S. T:: Relations between Evaporation Coeffi- Baufays, C.: See Guissard, A. cients and Vegetation Indices Studied by Model Simula- Baufays, C.: see Sobieski, P. tions, 50:1 Bazzani, M.: See Valentini, R. Christensen, N. L., Jr.: See Wang, Y. Beck, L. R.: See Rossi, R. E. Chuah, H. T., Kung, W. L.: A Microwave Propagation Model Bell, R.: See Warner, T. A. for Estimation of Effective Attenuation Coefficients in a Ben-Dor, E.: A Precaution Regarding Cirrus Cloud Detec- Vegetation Canopy, 50:212 tion from Airborne Imaging Spectrometer Data Using the 1.38 um Water Vapor Band, 50:346 Cihlar, J., Manak, D., Voisin, N.: AVHRR Bidirectional Re- flectance Effects and Compositing, 48:77 Ben-Dor, E., Banin, A.: Visible and Near-Infrared (0.4-1.1 6m) Analysis of Arid and Semiarid Soils, 48:261 Clarke, R. T.: See Moran M. S. Clevers, J. G. P. W., Buker, C., Van Leeuwen, H. J. C., Biggar, S. F., Slater, P. N., Gellman, D. L: Uncertainties in Bouman, B. A. M.: A Framework for Monitoring Crop the In-Flight Calibration of Sensors with Reference to Growth by Combining Directional and Spectral Remote Measured Ground Sites in the 0.4-1.1 6m Range, 48:245 Sensing Information, 50:161 Bongi, G., Palliotti, A., Rocchi, P., Moya, I., Goulas, Y.: Spec- tral Characteristics and a Possible Topological Assignment Coll, C., Caselles, V., Schmugge, T. J.: Estimation of Land of Blue Green Fluorescence Excited by UV Laser on Leaves Surface Emissivity Differences in the Split-Window Chan- of Unrelated Species, 47:55 nels of AVHRR, 48:127 Borel, C. C., Gerstl, S. A. W.: Nonlinear Spectral Mixing Collins,J .B .: See Woodcock, C. E. Models for Vegetative and Soil Surfaces, 47:403 Collins, J. B., Woodcock, C. E.: Change Detection Using the Bouman, B. A. M.: See Clevers,J .G . P. W. Gramm-Schmidt Transoformation Applied to Mapping For- Brown, P. W.: See Reicosky, D. C. est Mortality, 50:267 Buker, C.: See Clevers,J .G . P. W. Corp, L. A.: See McMurtery,J . E., Il Buschmann, C., Nagel, E., Szabé, K., Kocsanyi, L.: Spectrome- Courault, D.: See Seguin, B. ter for Fast Measurement of In Vivo Reflectance, Absorptance, Crowther, B. G.: See Neale, C. M. U. and Fluorescence in the Visible and Near-Infrared, 48:18 Curran, P. J.: See Atkinson, P. M. 354 Author Index Dahn, H.-G.: See Giinther, K. P. Fortin, J.-P.: See Marceau, D. J. D’Aria, D. M.: See Salisbury,J .W . Foschi, P. G.: A Geometric Approach to a Mixed Pixel Prob- Daughtry, C. S. T.: See Choudhury, B. J. lem: Detecting Subpixel Woody Vegetation, 50:317 Davis, F. W.: See Friedl, M. A. Fournier, R. A.: See Marceau, D. J. Davis, F. W.: See Wang, Y. Frangois, C., Ottlé, C.: Estimation of the Angular Variation of De Angelis, P.: See Cecchi, G. the Sea Surface Emissivity with the ATSR/ERS-1 Data, De Angelis, P.: See Valentini, R. 48:302 Dechambre, M.: See Taconet, O. Frank, A. B., Aase, J. K.: Residue Effects on Radiometric Re- Deering, D. W., Middleton, E. M., Eck, T. F.: Reflectance flectance Measurements of Northern Great Plains Range- Anisotropy for a Spruce-Hemlock Forest Canopy, 47:242 lands, 49:195 Deuzé, J. L.: See Roger,J .C . Franklin, S. E.: See McDermid, G. J. Devaux-Ros, C.: See Vidal, A. Fredeen, A. L.: See Pefuelas, J. Di, L.: See Hastings, D. A. Friedl, M. A., Davis, F. W.: Sources of Variation in Radiomet- Diak, G. R., Scheuer, C. J., Whipple, M. S., Smith, W. L.: ric Surface Temperature over a Tallgrass Prairie, 48:1 Remote Sensing of Land-Surface Energy Balance Using Fusi, F.: See Valentini, R. Data from the High-Resolution Interferometer Sounder (HIS): A Simulation Study, 48:106 Gallaudet, T. C., Simpson, J. J.: An Empirical Orthogonal Doraiswamy, P. C.: See Kustas, W. P. Function Analysis of Remotely Sensed Sea Surface Temper- Dowdeswell, J.A.: See Marshall, G. J. ature Variability and Its Relation to Interior Oceanic Proc- Dungan,J . L.: See Rossi, R. E. esses off Baja California, 47:375 Durand, H.: See Vidal, A. Gamon,J . A.: See Pefuelas, J. Durden, S.: See Moghaddam, M. Gao, B.-C., Goetz, A. F. H.: Extraction of Dry Leaf Spectral Features from Reflectance Spectra of Green Vegetation, Eck, T. F.: See Deering, D. W. 47:369 Egan, W. G.: Radiative Transfer Properties of the Sahara Re- Gay, M.: See Puyou-Lascassies, P. gion, 50:182 Gellman, D. L: See Biggar, S. F. Ekstrand, S.: Assessment of Forest Damage with Landsat TM: Gerstl, S. A. W.: See Borel, C. C. Correction for Varying Forest Stand Characteristics, 47:291 Goetz, A. F. H.: see Gao, B.-C. Ellefsen, E.: See Key,J . Goltz, S. M.: See Smith,J . A. Emery, W. J.: see Privette,J . L. Goossens, M. A., Kroonenberg, S. B.: Spectral Discrimination Esaias, W. F.: See Harding, L. W. of Contact Metamorphic Zones and Its Potential for Mineral Escobar, D. E.: See Wiegand, C. L. Exploration, Province of Salamanca, Spain, 47:331 Estep, L., Arnone, R.: Effect of Whitecaps on Determination Gopal, S.: See Woodcock, C. E. of Chlorophyll Concentration from Satellite Data, 50:328 Gordon, H. R.: See Wang, M. Everitt, J. H.: See Wiegand, C. L. Goulas, Y.: See Bongi, G. Goward, S. N., Huemmrich, K. F., Waring, R. H.: Visible- Farrand, W. H., Singer, R. B., Merényi, E.: Retrieval of Ap- Near-Infrared Spectral Reflectance of Landscape Compo- parent Surface Reflectance from AVIRIS Data: A Compari- nents in Western Oregon, 47:190 son of Empirical Line, Radiative Transfer, and Spectral Mix- Goward, S. N., Williams, D. L., Peterson, D. L.: NASA ture Methods, 47:311 Multisensor Aircraft Campaigns for the Study of Forest Eco- Farrar, T. J.: See Nicholson, S. E. systems, 47:107 Farrar, T. J. Nicholson, S. E., Lare, A. R.: The Influence of Gower, J. F. R.: Red Tide Monitoring Using AVHRR HRPT Soil Type on the Relationships between NDVI, Rainfall, and Imagery from a Local Receiver, 48:309 Soil Moisture in Semiarid Botswana. II. NDVI Response to Grace, J.: See Pearson, R. Soil Moisture, 50:121 Granberg, H. B.: Mapping Heat Loss Zones for Permafrost Field, C. B.: See Peiuelas, J. Prediction at the Northern/Alpine Limit of the Boreal For- Fischer, A.: A Model for the Seasonal Variations of Vegetation est Using High-Resolution C-Band SAR, 50:280 Indices in Coarse Resolution Data and Its Inversion to Ex- Gratton, D. J.: See Marceau, D. J. tract Crop Parameters, 48:220 Gu, X.-F.: See Guyot, G. Fitzgerald, R. W.: Lees, B. G.: Assessing the Classification Ac- Guérif, M.: See Seguin, B. curacy of Multisource Remote Sensing Data, 47:362 Guissard, A.: See Sobieski, P. Flament, P.: See Mouginis-Mark, P. J. Guissard, A., Baufays, C., Sobieski, P.: Fully and Nonfully Flouzat, G.: See Puyou-Lascassies, P. Developed Sea Models for Microwave Remote Sensing Ap- Author Index 355 plications, 48:25 Jonsson, L.: See Malm,J . Gimther, K. P., Dahn, H.-G., Liideker, W.: Remote Sensing Justice, C.: See Huete, A. Vegetation Status by Laser-Induced Fluorescence, 47:10 Gutman, G. G., Ignatov, A. M., Olson, S.: Towards Better Kasischke, E. S.: See Wang, Y. Quality of AVHRR Composite Images over Land: Reduc- Kawashima, S.: Relation Between Vegetation, Surface Temper- tion of Cloud Contamination, 50:134 ature, and Surface Composition in the Tokyo Region during Guyot, G., Gu, X.-F.: Effect of Radiometric Corrections on Winter, 50:52 NDVI-Determined from SPOT-HRV and Landsat-TM Kerr, Y. H.: See Qi,J . Data, 49:169 Key, J., Maslanik, J. A., Ellefsen, E.: The Effects of Sensor Field-of-View on the Geometrical Characteristics of Sea Ice Hamilton, S. K.: See Sippel, S. J. Leads and Implications for Large-Area Heat Flux Estimates, Harding, L. W., Jr., Itsweire, E. C., Esaias, W. F.: Estimates 48:347 of Phytoplankton Biomass in the Chesapeake Bay from Air- Key, J. R.: The Area Coverage of Geophysical Fields as a craft Remote Sensing of Chlorophyll Concentrations, 1989- Function of Sensor Field-of-View, 48:339 92, 49:41 Kharuk, V. I., Morgun, V. N., Rock, B. N., Williams, D. L.: Harris, A. R.: Time Series Remote Sensing of a Climatically Chlorophyll Fluorescence and Delayed Fluorescence as Po- Sensitive Lake, 50:83 tential Tools in Remote Sensing: A Reflection of Some As- Harrison, P. A.: See Kimes, D. S. pects of Problems in Comparative Analysis, 47:98 Harrison, P. R.: See Kimes, D. S. Kilic, O.: See Lang, R. H. Harward, V. J.: See Woodcock, C. E. Kim, M.: See Rock, B. N. Hastings, D. A., Di, L.: Modeling of Global Change Phenom- Kim, M. S.: See McMurtery,J . E., HI ena with GIS Using the Global Change Data Base. I: Mod- Kimes, D. S., Harrison, P. A., Harrison, P. R.: Extension of eling with GIS, 49:1 Off-Nadir View Angles for Dixectional Sensor Systems, Hastings, D. A., Di, L.: Modeling of Global Change Phenom- 50:201 ena with GIS Using the Global Change Data Base. II: Po- Klaes, K. D., Van Woert, M. L.: A Case Study of Hawaiian totype Synthesis of the AVHRR-Based Vegetation Index Convective Systems Using Complementary DMSP and from Terrestrial Data, 49:13 NOAA Satellite-Derived Meteorological Fields, 50:31 Herman M.: See Roger,J . C. Knox, R. G.: See Levine, E. R. Hlavka, C. A.: See Johnson, L. F. Kocsanyi, L.: See Buschmann, C. Ho, C.-R.: See Yan, X.-H. Krajicek, V., Vrbova, M.: Laser-Induced Fluorescence Spec- Hoque, E., Remus, G.: Native and Atrazine-Induced Fluores- tra of Plants, 47:51 cence of Chloroplasts from Palisade and Spongy Paren- Kroonenberg, S. B.: See Goossens, M. A. chyma of Beech (Fagus sylvatica L.) Leaves, 47:77 Kung, W. L.: See Chuah, H. T. Howarth, P. J.: See Marceau, D. J. Kustas, W. P., Perry, E. M., Doraiswamy, P. C., Moran, M. S.: Huemmrich, K. F.: See Goward, S. N. Using Satellite Remote Sensing to Extrapolate Huete, A., Justice, C., Liu, H.: Development of Vegetation Evapotranspiration Estimates in Time and Space over a and Soil Indices for MODIS-EOS, 49:224 Semiarid Rangeland Basin, 49:275 Huete, A. R.: See Qi,J . Kuusk, A.: A Multispectral Canopy Reflectance Model, 50:75 Idso, S. B.: See Choudhury, B. J. Lambin, E. F., Strahler, A. H.: Change-Vector Analysis in Ignatov, A. M.: See Gutman, G. G. Multitemporal Space: A Tool To Detect and Categorize Inoue, Y.: See Moran M. S. Land-Cover Change Processes Using High Temporal-Reso- Irons, J. R.: See Lawrence, W. T. lution Satellite Data, 48:231 Irons, J. R.: See Ranson, K. J. Lang, M.: See Stober, F. Itsweire, E. C.: See Harding, L. W. Lang, R. H., Chauhan, N. S., Ranson, K. J., Kilic, O.: Model- Ivanov, N.: See Andrieu, B. ing P-Band SAR Returns from a Red Pine Stand, 47:132 Lare, A. R.: See Farrar, T. J. Jackson, T. J.: See Lin, D.-S. Lauten, C. N.: See Rock, B. N. Jacquemoud, S.: See Baret, F. Lawrence, W. T.: See Levine, E. R. Jakabhazy, V. D.: See Woodcock, C. E. Lawrence, W.T., Williams, D. L., Ranson, K. J., Irons, J. R., Johnson, L. F., Hlavka, C. A., Peterson, D. L.: Multivariate Walthall, C. L.: Comparative Analysis of Data Acquired by Analysis of AVIRIS Data for Canopy Biochemical Estima- Three Narrow-Band Airborne Spectroradiometers over tion along the Oregon Transect, 47:216 Subboreal Vegetation, 47:204 356 Author Index LeCroy, S. R.: See Purgold, G. C. Matzler, C.: Microwave Transmissivity of a Forest Canopy: LeCroy, S. R.: See Wheeler, R. J. Experiments Made with A Beech, 48:172 LeCroy, S. R.: See Whitlock, C. H. May, G..: See Pearson, R. Lees, B. G.: See Fitzgerald, R. W. Mazzinghi, P.: See Cecchi, G. Lejeune, K. D.: See Weishampel, J. F. Mazzinghi, P.: See Valentini, R. Levandowski, D. W.: See Warner, T. A. McDermid, G. J., Franklin, S. E.: Spectral, Spatial, and Geo- Levine, E. R., Knox, R. G., Lawrence, W. T.: Relationships morphometric Variables for the Remote Sensing of Slope between Soil Properties and Vegetation at the Northern Ex- Processes, 49:57 perimental Forest, Howland, Maine, 49:231 McDonald, K.: See Rignot, E. Levitan, J.: See Woodcock, C. E. McMurtery,J . E., Il], Chappelle, E. W., Kim, M. S., Meisin- Li, X.: See Woodcock, C. E. ger, J. J.: See McMurtery, J. E., III Liang, S., Strahler, A. H.: Retrieval of Surface BRDF from Meisinger, J. J., Corp, L. A.: Distinguishing Nitrogen Fertili- Multiangle Remotely Sensed Data, 50:18 zation Levels in Field Corn (Zea mays L.) with Actively In- Lichtenthaler, H.: See Chappelle E. W. duced Fluorescence and Passive Reflectance Measurements, Lichtenthaler, H. K.: See Stober, F. 47:36 Lin, D.-S., Wood, E. F., Troch, P. A., Mancini, M., Jackson, Melack, J. M.: See Sippel, S. J. T. J.: Comparisons of Remotely Sensed and Model-Simu- Melack, J. M.: See Wang, Y. \ated Soil Moisture over a Heterogeneous Watershed, Merényi, E.: See Farrand, W. H. 48:159 Merino,J. : See Pefwuelas, J. Liu, H.: See Huete, A. Méthy, F. M., Olioso, A., Trabaud, L.: Chlorophyll Fluores- Liideker, W.: See Gitnther, K. P. cence as a Tool for Management of Plant Resources, 47:2 Meyer, P.: A Parametric Approach for the Geocoding of Air- Macombar, S.: See Woodcock, C. E. borne Visible/Infrared Imaging Spectrometer (AVIRIS) Macombar, S. A., Woodcock, C. E.: Mapping and Monitoring Data In Rugged ‘Terrain, 49:118 Conifer Mortality Using Remote Sensing in the Lake Tahoe Middleton, E. M.: See Deering, D. W. Basin, 50:255 Miller, R. L.: see Carter, G. A. Maillet, A.: See Vidal, A. Milton, E. J.; See Rollin, E. M. MalJ.,m Jo,nsso n, L.: Water Surface Temperature Character- Moghaddam, M., Durden, S., Zebker, H.: Radar Measure- istics and Thermal Bar Evolution during Spring in Lake La- ment of Forested Areas during OTTER, 47:154 doga, 48:332 Mohanan, C. N.: See Subhash, N. Manak, D.: See Cihlar,J . Moran, M. S.: See Kustas, W. P. Mancini, M.: See Lin, D.-S. Moran, M. S.: See Pinter, P. J., Jr. Marceau, D. J., Gratton, D. J., Fournier, R. A., Fortin, J.-P.: Moran, M. S.: See Reicosky, D. C. Remote Sensing and the Measurement of Geographical En- Moran, M. S., Clarke, R. T. Inoue, Y., Vidal, A.: Estimating tities in a Forested Environment. 2. The Optimal Spatial Crop Water Deficit Using the Relation between Surface-Air Resolution, 49:105 Temperature and Spectral Vegetation Index, 49:246 Marceau, D. J., Howarth, P. J., Gratton, D. J.: Remote Sens- Morgun, V. N.: See Kharuk, V. I. ing and the Measurement of Geographical Entities in a For- Moss, D. M.: See Rock, B. N. ested Environment. I. The Scale and Spatial Aggregation Mouginis-Mark, P. J.: See Rowland, S. K. Problem, 49:93 Mouginis-Mark, P. J., Carbeil, H., Flament, P.: Effects of Marsh, S. E., Walsh, J. L., Sobrevila, C.: Evaluation of Air- Viewing Geometry on AVHRR Observations of Volcanic borne Video Data for Land-Cover Classification Accuracy Thermal Anomalies, 48:51 Assessment in an Isolated Brazilian Forest, 48:61 Moya, I.: See Bongi, G. Marshall, G. J., Dowdeswell, J.A., Rees, W.G.: The Spatial Moya, I.: See Schmuck, G. and Temporal Effect of Cloud Cover on the Acquisition of Mugnozza, G. S.: See Valentini, R. High Quality Landsat Imagery in the European Arctic Sec- Myneni, R. B.: See Privette,J . L. tor, 50:149 Myneni, R. B., Asrar, G.: Atmospheric Effects and Spectral Martonchik, J. V.: Retrieval of Surface Directional Reflec- Vegetation Indices, 47:390 tance Properties Using Ground Level Multiangle Measure- Myneni, R. B., Williams, D. L.: On the Relationship between ments, 50:303 FAPAR and NDVI, 49:200 Maslanik,J .A .: See Key,J . Massie, D. R.: See Abbott, J A. Nagel, E.: See Buschmann, C. Matteucci, G.: See Valentini, R. Neale, C. M. U., Crowther, B. G.: An Airborne Multispectral Author Index 357 Video/Radiometer Remote Sensing System: Development Puyou-Lascassies, P., Flouzat, G., Gay, M., Vignolles, C.: and Calibration, 49:187 Validation of the Use of Multiple Linear Regression as a Nel, E. M., Wessman, C. A., Veblen T. T.; Digital and Visual Tool for Unmixing Coarse Spatial Resolution Images, Analysis of Thematic Mapper Imagery for Differentiating 49:155 Old Growth from Younger Spruce-Fir Stands, 48:29) Nicholson, S. E.: See Farrar, T. J. Qi, J., Chehbouni, A., Huete, A. R., Kerr, Y. H., Sorooshian Nicholson, S. E., Farrar, T: J.:T he Influence of Soil Type on S.: A Modified Soil Adjusted Vegetation Index, 48:119 the Relationships between NDVI, Rainfall, and Soil Mois- ture in Semiarid Botswana. I. NDVI Response to Rainfall, Raimondi, V.: See Valentini, R. 50:107 Ranson,J . K.: See Salas, W. A. Nilson, T., Peterson, U.: Age Dependence of Forest Reflec- Ranson, K. J.: See Lang, R. H. tance: Analysis of Main Driving Factors, 48:319 Ranson, K. J.: See Lawrence, W. T. Normand, M.: See Taconet, O. Ranson, K. J.: See Weishampel, J. F. Ranson, K. J., Irons, J. R., Williams, D. L.; Multispectral Bidi- Olioso, A.: See Méthy, E. W. rectional Reflectance of Northern Forest Canopies with the Olson, S.: see Gutman, G. G. Advanced Solid-State Array Spectroradiometer, 47:276 Olsson, H.: Changes in Satellite-Measured Reflectances Ranson, K. J., Sun, G.: Northern Forest Classification Using Caused by Thinning Cuttings in Boreal Forest, 50:221 Temporal Multifrequency and Multipolarimetric SAR Im- Ortlé, C.: See Francois, C. ages, 47:142 Rees, W.G.: See Marshall, G. J. Palliotti, A.: See Bongi, G. Reginato, R. J.: See Choudhury, B. J. Pantani, L.: See Cecchi, G. Reicosky, D. C., Brown, P. W., Moran, M. S.: Diurnal Trends Paris,J .F .: See Pope, K. O. in Wheat Canopy ‘Temperature, Photosynthesis, and Payne, C.: See Rignot, E. Evapotranspiration, 49:235 Pearson, R., Grace, J., May, G.: Real-Time Airborne Agricul- Remus, G.: See Hoque, E. tural Monitoring, 49:304 Rey-Benayas, J. M.: See Pope, K. O. Pefwelas, J., Gamon, J. A., Fredeen, A. L., Merino, J., Field, Rhoades,J .D .: See Wiegand, C. L. C. B.: Reflectance Indices Associated with Physiological Rignot, E., Way,J .B .: Monitoring Freeze-~Thaw Cycles along Changes in Nitrogen- and Water-Limited Sunflower North-South Alaskan Transects Using ERS-1 SAR, 49:131 Leaves, 48:135 Rignot, E. Way, J. B., McDonald, K., Viereck, L., Williams, Perry, E. M.: See Kustas, W. P. C., Adams, P., Payne, C. Wood, W., Shi, J: Monitoring of Peterson, D. L.: See Goward, S. N. Environmental Conditions in Taiga Forests Using ERS-1 Peterson, D. L.: See Johnson, L. F. SAR, 49:145 Peterson, U.: See Nilson, T. Rocchi, P.: See Bongi, G. Pinglo, F.: See Vidal, A. Roche, P.: See Rollin, E. M. Pinter, P. J., Jr., Moran, M. S.: Foreward: Remote Sensing of Rock, B. N.: See Kharuk, V. I. Soils and Vegetation, 49:167 Rock, B. N.: See Salas, W. A. Pons, X, Solé-Sugraiies, L.: A Simple Radiometric Correction Rock, B. N., Williams, D. L., Moss, D. M., Lauten, G. N., Model to Improve Automatic Mapping of Vegetation from Kim, M.: High-Spectral Resolution Field and Laboratory Multispectral Satellite Data, 48:191 Optical Reflectance Measurements of Red Spruce and East- Pope, K. O., Rey-Benayas, J. M., Paris, J. F.: Radar Remote ern Hemlock Needles and Branches, 47:176 Sensing of Forest and Wetland Ecosystems in the Central Roger, J. C., Santer, R., Herman M., Deuzé, J. L.: Polariza- American Tropics, 48:205 tion of the Solar Light Scattered by the Earth-Atmosphere Prevot, L.: See Taconet, O. system as Observed from the U.S. Shuttle, 48:275 Price, J. C.: How Unique Are Spectral Signatures?, 49:181 Rollin, E. M., Milton, E. J., Roche, P.: The Influence of Privette, J. L., Myneni, R. B., Tucker, C. J., Emery, W. J.: Weathering and Lichen Cover on the Reflectance Spectra of Invertibility of a 1-D Discrete Ordinates Canopy Reflec- Granitic Rocks, 50:194 tance Model, 48:89 Rossi, R. E., Dungan,J . L., Beck, L. R.: Kriging in the Shad- Purgold, G. C.: See Wheeler, R. J. ows: Geostatistical Interpolation for Remote Sensing, 49:32 Purgold, G. C., Whitlock, C. H., Wheeler, R. J., LeCroy, S. Rowland, S. K., Smith, G. A., Mouginis-Mark, P.J .: Prelimi- R.: A Multiwavelength Airborne Radiometer Scanner (ARS) nary ERS-1 Observations of Alaskan and Aleutian Volca- for Measuring Surface Bidirectional Reflectance Character- noes, 48:358 istics, 47:322 Ryherd, S.: See Woodcock, C. E. 358 Author Index Salas, W. A., Ranson, J. K., Rock, B. N., Smith, K. T.: Tem- Swanson,J . S.: See Wheeler, R. J. poral and Spatial Variations in Dielectric Constant and Syrén, P.: Reflectance Anisotropy for Nadir Observations of Water Status of Dominant Forest Species from New Eng- Coniferous Forest Canopies, 49:72 land, 47:109 Szabé, K.; See Buschmann, C. Salisbury, J. W., D’Aria, D. M.: Emissivity of Terrestrial Ma- terials in the 3-5 6m Atmospheric Window. 47:345 Taconet, O., Banallegue, M., Vidal-Madjar, D., Prevot, L., Santer, R.: See Roger, J. C. Dechambre, M., Normand, M..: Estimation of Soil and Crop Schaaf, C. B., Strahler, A. H.: Validation of Bidirectional and Parameters for Wheat from Airborne Radar Backscattering Hemispherical Reflectances from a Geometric-Optical Data in C and X Bands, 50:287 Model Using ASAS Imagery and Pyranometer Measure- Tai, C.-K.: See Yan, X.-H. ments of a Spruce Forest, 49:138 Tirelli, D.: See Cecchi, G. Scheuer, C. J.: See Diak, G. R. Trabaud, L.: See Méthy, E. W. Schmuck, G., Moya, I.: Time-Resolved Chlorophyll Fluores- Troch, P. A.: See Lin, D.-S. cence Spectra of Intact Leaves, 47:72 Tucker, C. J.: See Privette,J .L . Schmugge, T. J.: See Coll C. Seguin, B., Courault, D., Guérif, M.: Surface Temperature Valentini, R.: See Cecchi, G. and Evapotranspiration: Application of Local Scale Methods Valentini, R., Cecchi, G., Mazzinghi, P., Mugnozza, G. S., to Regional Scales Using Satellite Data, 49:287 Agati, G., Bazzani, M., De Angelis, P., Fusi, F., Matteucci, Shi,J. :S ee Rignot, E. G., Raimondi, V.: Remote Sensing of Chlorophyll a Fluores- Shugart, H. H.: See Weishampel,J . F. cence of Vegetation Canopies: 2. Physiological Significance Simpson, J. J.: See Gallaudet, T. C. of Fluorescence Signal in Response to Environmental Singer, R. B.: See Farrand, W. H. Stresses, 47:29 Sippel, S. J.,H amilton, S. K., Melack,J .M ., Choudhury, B. J.: Van Deusen, P. C.: Correcting Bias in Change Estimates from Determination of Inundation Area in the Amazon River Thematic Maps, 50:67 Floodplain Using the SMMR 37 GHz Polarization Differ- Van Leeuwen, H. J. C.: See Clevers,J .G . P. W. ence, 48:70 Van Woert, M. L.: See Klaes, K. D. Slater, P. N.: See Biggar, S. F. Vanderbilt, V. C.: See Baret, F. Smith, G. A.: See Rowland, S. K. Veblen T. T.: See Nel, E. M. Smith, J. A., Goltz, S$. M.: Updated Thermal Model Using Vidal, A.: See Moran M. S. Simplified Short-Wave Radiosity Calculations, 47:167 Vidal, A., Pinglo, F., Durand, H., Devaux-Ros, C., Maillet, A.: Smith, K. T.: See Salas, W. A. Evaluation of a Temporal Fire Risk Index in Mediterranean Smith, W. L.: See Diak, G. R. Forests from NOAA Thermal IR, 49:296 Sobieski, P.: See Guissard, A. Vidal-Madjar, D.: See Taconet, O. Sobieski, P., Guissard, A., Baufays, C.: Comparison of Micro- Viereck, L.: See Rignot, E. wave Signatures for fully and Nonfully Developed Sea Mod- Vignolles, C.: See Puyou-Lascassies, P. els, 48:39 Voisin, N.: See Cihlar,J . Sobrevila, C.: See Marsh, S. E. Vrbova, M.: See Krajicek, V. Sohbi, Y.: See Andrieu, B. Vukovich, F. M.: Variations of the Gulf Stream’s North Wall Solé-Sugrafies, L. see Pons, X. East of Cape Hatteras, 47:303 Sorooshian S.: See Qi,J . Steven, M. D.: See Baret, F. Walsh,J . L.: See Marsh, S. E. Stober, F., Lang, M., Lichtenthaler, H. K.: Blue, Green, and Walthall, C. L.: See Lawrence, W. T. Red Fluorescence Emission Signatures of Green, Etiolated, Wang, M., Gordon, H. R.: A Simple, Moderately Accurate, and White Leaves, 47:65 Atmospheric Correction Algorithm for SeaWiFS, 50:231 Strahler, A. H.: See Abuelgasim, A. A. Wang, Y., Kasischke, E. S., Melack, J. M., Davis, F. W., Strahler, A. H.: See Lambin, E. F. Christensen, N. L., Jr.: The Effects of Changes in Loblolly Strahler, A. H.: See Liang, S. Pine Biomass and Soil Moisture on ERS-1 SAR Backscatter, Strahler, A. H.: See Schaaf, C. B. 49:25 Subhash, N., Mohanan, C. N.: Laser-Induced Red Chloro- Warbington, R.: See Woodcock, C. E. phyll Fluorescence Signatures as Nutrient Stress Indicator in Waring, R. H.: See Goward, S. N. Rice Plants, 47:45 Waring, R. H.: See Yoder, B. J. Sun, G.: See Ranson, K. J. Warner, T. A., Levandowski, D. W., Bell, R., Cetin, H.: Rule- Sun, G.: See Weishampel,J . F. Based Geobotanical Classification of Topographic, Aero- Author Index 359 magnetic, and Remotely Sensed Vegetation Community Williams, D. L.: See Goward, S. N. Data, 50:41 Williams, D. L.: See Kharuk, V. I. Way,J . B.: See Rignot, E Williams, D. L.: See Lawrence, W. T. Webster, R.: See Atkinson, P. M. Williams, D. L.: See Myneni, R. B. Weishampel, J. F., Sun, G., Ranson, K. J., Lejeune, K. D., Williams, D. L.: See Ranson, K. J. Shugart, H. H.: Forest Textural Properties from Simulated Williams, D. L.: See Rock, B. N. Microwave Backscatter: The Influence of Spatial Resolution, Wood, E. F.: See Lin, D.-S. 47:120 Wood, W.: See Rignot, E. Wenhan, Q., Yuegin, X.: On the Hotspot Effect of Leaf Can- Woodcock, C. E.: See Collins,J . B. opies: Modeling Study and Influence of Leaf Shape, 50:95 Woodcock, C. E.: See Macombar, S. A. Wessman, C. A.: See Nel, E. M. Woodcock, C. E., Collins, J. B., Gopal, S., Jakabhazy, V. D., Wheeler, R. J.: See Purgold, G. C. Li, X., Macombar, S., Ryherd, S., Harward, V. J., LevitanJ,. , Wheeler, R. J.: See Whitlock, C. H. Wu, Y., Warbington, R.: Mapping Forest Vegetation Using Wheeler, R. J., LeCroy, S. R., Whitlock, C. H., Purgold, G. Landsat TM Imagery and a Canopy Reflectance Model, C., Swanson, J. S.: Surface Characteristics for the Alkili Flats 50:240 and Dunes Regions at White Sands Missile Range, New Wu, Y.: See Woodcock, C. E. Mexico, 48:181 Whipple, M. S.: See Diak, G. R. Yan, X.-H., Zheng, Q., Ho, C.-R., Tai, C.-K., Cheney, R. E.: Whitlock, C. H.: See Purgold, G. C. Development of the Pattern Recognition and the Spatial In- Whitlock, C. H.: See Wheeler, R. J. tegration Filtering Methods for Analyzing Satellite Altime- Whitlock, C. H., LeCroy, S. R., Wheeler, R. J.:N arrowband ter Data, 48:147 Angular Reflectance Properties of the Alkali Flats at White Yoder, B. J., Waring, R. H.: The Normalized Difference Veg- Sands, New Mexico, 50:171 etation Index of Small Douglas Fir Canopies with Varying Wiegand, C. L., Rhoades,J .D ., Escobar, D. E., Everitt,J .H .: Chlorophyll Concentrations, 49:81 Photographic and Videographic Observations for Determin- Yuegin, X. See Wenhan, Q. ing and Mapping the Response of Cotton to Soil Salinity, 49:212 Zebker, H.: See Moghaddam, M. Williams, C.: See Rignot, E. Zheng, Q.: See Yan, X.-H. REMOTE SENS. ENVIRON. 50:360-368 (1994) Subject Index for Volumes 47-50 Altimetry Change Detection Development of the Pattern Recognition and the Spatial In- Change-Vector Analysis in Multitemporal Space: A Tool To tegration Filtering Methods for Analyzing Satellite Altime- Detect and Categorize Land-Cover Change Processes Using ter Data, X.-H Yan, Q. Zheng, C.-R Ho, C.-K. Tai, R. E. High Temporal-Resolution Satellite Data, E. F. Lambin and Cheney, 48:147 A. H. Strahler, 48:231 Area Estimation Correcting Bias in Change Estimates from Thematic Maps, P. Correcting Bias in Change Estimates from Thematic Maps, P. C. Van Deusen, 50:67 C. Van Deusen, 50:67 Mapping and Monitoring Conifer Mortality Using Remote Atmospheric Effects Sensing in the Lake Tahoe Basin, S. A. Macombar and C. E. Atmospheric Effects and Spectral Vegetation Indices, R. B. Woodcock, 50:255 Time Series Remote Sensing of a Climatically Sensitive Lake, Myneni and G. Asrar, 47:390 A Simple, Moderately Accurate, Atmospheric Correction Al- A. R. Harris, 50:83 Classification Accuracy gorithm for SeaWiFS, M. Wang and H. R. Gordon, 50:231 Assessing the Classification Accuracy of Multisource Remote A Simple Radiometric Correction Model to Improve Auto- Sensing Data, R. W. Fitzgerald and B. G. Lees, 47:362 matic Mapping of Vegetation from Multispectral Satellite Correcting Bias in Change Estimates from Thematic Maps, P. Data, X. Pons and L. Sole-Sugraiies, 48:191 C. Van Deusen, 50:67 Towards Better Quality of AVHRR Composite Images over Evaluation of Airborne Video Data for Land-Cover Classifi- Land: Reduction of Cloud Contamination, G. G. Gutman, cation Accuracy Assessment in an Isolated Brazilian Forest, A. M. Ignatov, and S. Olson, 50:134 S. E. Marsh,J . L. Walsh, and C. Sobrevila, 48:61 AVHRR Cloud Effects AVHRR Bidirectional Reflectance Effects and Composting,J . A Precaution Regarding Cirrus Cloud Detection from Air- Cihlar, D. Manak, and N. Voisin, 48:77 borne Imaging Spectrometer Data Using the 1.38 um Water A Case Study of Hawaiian Convective Systems Using Com- Vapor Band, E. Ben-Dor, 50:346 plementary DMSP and NOAA Satellite-Derived Meteoro- The Spatial and Temporal Effect of Cloud Cover on the Ac- logical Fields, K. D. Klaes and M. L. Van Woert, 50:31 quisition of High Quality Landsat Imagery in the European Effects of Viewing Geometry on AVHRR Observations of Arctic Sector, G. J. Marshall, J. A.D owdeswell, and W. G. Volcanic thermal Anomalies, P. J. Mouginis-Mark, H Gar- Rees, 50:149 beil, and P. Flament, 48:51 Towards Better Quality of AVHRR Composite Images over Estimation of Land Surface Emissivity Differences in the Land: Reduction of Cloud Contamination, G. G. Gutman, Split-Window Channels of AVHRR, C. Coll, V. Caselles, A. M. Ignatov, and S. Olson, 50:134 and T. J. Schmugge, 48:127 Crop Monitoring Evaluation of a Temporal Fire Risk Index in Mediterranean Estimation of Soil and Crop Parameters for Wheat from Air- Forests from NOAA Thermal IR, A. Vidal, F. Pinglo, H. borne Radar Backscattering Data in C and X Bands, O. Ta- Durand, C. Devaux-Ros, and A. Maillet, 49:296 conet, M. Benallegue, D. Vidal-Madjar, L. Prevot, M. A Model for the Seasonal Variations of Vegetation Indices in Dechambre, and M. Normand, 50:287 Coarse Resolution Data and Its Inversion to Extract Crop A Framework for Monitoring Crop Growth by Combining Parameters, A. Fischer, 48:220 Directional and Spectral Remote Sensing Information,J . G. Modeling of Global Change Phenomena with GIS Using the P. W. Clevers, C. Buker, H. J. C. van Leeuwen, and B. A. M. Global Change Data Base. II: Prototype Synthesis of Bouman, 50:161 AVHRR-Based Vegetation Index from Terrestrial Data, D. Radiative Transfer Properties of the Sahara Region, W. G. A. Hastings and L. Di, 49:13 Egan, 50:182 Red Tide Monitoring Using AVHRR HRPT Imagery from a Real-Time Airborne Agricultural Monitoring, R. Pearson, J. Local Receiver,J .F . R. Gower, 48:309 Grace, and G. May, 49:304 Towards Better Quality of AVHRR Composite Images over Land: Reduction of Cloud Contamination, G. G. Gutman, Emissivity A. M. Ignatov, and S. Olson, 50:134 Emissivity of Terrestrial Materials in the 3-5 um Atmospheric 360 Subject Index 361 Window,J . W. Salisbury, D. M. D’Aria, 47:345 tential Tools in Remote Sensing: A Reflection of Some As- Estimation of Land Surface Emissivity Differences in the pects of Problems in Comparative Analysis, V. I. Kharuk, V. Split-Window Channels of AVHRR, C. Coll, V. Caselles, N. Morgun, B. N. Rock, and D. L. Williams, 47:98 and T. J. Schmugge, 48:127 Chlorophyll Fluorescence as a Tool for Management of Plant Estimation of the Angular Variation of the Sea Surface Emis- Resources, F. M. Méthy, A. Olioso, and L. Trabaud, 47:2 sivity with the ATSR-ERS-1 Data, C. Francois and C. Ortlé, Delayed Light Emission and Fluorescence Responses of 48:302 Plants to Chilling, J. A. Abbott, T. A. Campbell, and D. R. Energy Balance Massie, 47:87 Remote Sensing of Land-Surface Energy Balance Using Data Distinguishing Nitrogen Fertilization Levels in Field Corn from the High-Resolution Interferometer Sounder (HIS): A (Zea mays L.) with Actively Induced Fluorescence and Pas- Simulation Study, G. R. Diak, C. J. Scheuer, M. S. Whipple, sive Reflectance Measurement, J. E. McMurtrey III, E. W. and W. L. Smith, 48:106 Chappelle, M. S. Kim,J .J . Meisinger, and L. A. Corp, 47:36 ERS-1 Early Detection of Plant Stress by Digital Imaging within Estimation of the Angular Variation of the Sea Surface Emis- Narrow Stress-Sensitive Wavebands, G. A. Carter and R. L. sivity with the ATSR-ERS-1 Data, C. Francois and C. Ortlé, Miller, 50:295 48:302 Fluorescence Measurements of Vegetation, E. W. Chappelle Monitoring Freeze-Thaw Cycles along North-South Alaskan and H. Lichtenthaler, 47:1 Transects Using ERS-1 SAR, E. Rignot and J. B. Way, Laser-Induced Fluorescence Spectra of Plants, V. Krajicek 49:131 and M. Vrbova, 47:51 Monitoring of Environmental Conditions in Taiga Forests Laser-Induced Red Chlorophyll Fluorescence Signatures as Using ERS-1 SAR, E. Rignot, J. B. Way, K. McDonald, L. Nutrient Stress Indicator in Rice Plants, N. Subhash and C. Viereck, C. Williams, P. Adams, C. Payne, W. Wood, andJ . N. Mohanan, 47;45 Shi, 49:145 Native and Atrazine-Induced Fluorescence of Chloroplasts Preliminary ERS-1 Observations of Alaskan and Aleutian from Palisade and Spongy Parenchyma of Beech (Fagus syl- Volcanoes, S. L. Rowland, G. A. Smith, and P. J. Mouginis- vatica L.) Leaves, E. Hoque and G. Remus, 47:77 Mark, 48:358 Remote Sensing of Chlorophyll a Fluorescence of Vegatation Evapotranspiration Canopies: 1. Near and Far Field Measurement Techniques, Diurnal Trends in Wheat Canopy Temperature, Photosyn- G. Cecchi, P. Mazzinghi, L. Pantani, R. Valentini, D. thesis, and Evapotranspiration, D. E. Reicosky, P. W. Tirelli, and P. De Angelis, 47:18 Brown, and M. S. Moran, 49:235 Remote Sensing of Chlorophyll a Fluorescence of Vegatation Estimating Crop Water Deficit Using the Relation between Canopies: 2. Physiological Significance of Fluorescence Sig- Surface-Air Temperature and Spectral Vegetation Index, M. nal in Response to Environmental Stresses, R. Valentini, G. S. Moran, T. R. Clarke, Y. Inoue, and A. Vidal, 49:246 Cecchi, P. Mazzinghi, G. Scarascia Mugnozza, G. Agati, M. Relations between Evaporation Coefficients and Vegetation Bazzani, P. De Angelis, F. Fusi, G. Matteucci, and V. Indices Studied by Model Simulations, B. J. Choudhury, N. Raimondi, 47:29 U. Ahmed, S. B. Idso, R. J. Reginato, and C. S. T. Daughtry, Remote Sensing Vegetation Status by Laser-Induced Fluores- 50:1 cence, K. P. Giinther, H.-G. Dahn, and W. Liideker, 47:10 Surface Temperature and Evapotranspiration: Application of Spectral Characteristics and a Possible Topological Assign- Local Scale Methods to Regional Scales Using Satellite ment of Blue Green Fluorescence Excited by UV Laser on Data, B. Seguin, D. Courault, and M. Guérif, 49:287 Leaves of Unrelated Species, G. Bongi, A Palliotti, P. Roc- Synergism of Multispectral Satellite Observations for Esti- chi, I. Moya, and Y. Goulas, 47:55 mating Regional Land Surface Evaporation, B. J. Ch- Spectrometer for Fast Measurements of In Vivo Reflectance, oudhury, 49:264 Absorptance, and Fluorescence in the Visible and Near-In- Using Satellite Remote Sensing to Extrapolate Evapotranspi- frared, C. Buschmann, E, Nagel, K. Szab6, and L. Kocsanyi, ration Estimates in Time and Space over a Semiarid Range- 48:18 land Basin, W. P. Kustas, E. M. Perry, P. C. Doraiswamy, Time-Resolved Chlorophyll Fluorescence Spectra of Intact and M. S. Moran, 49:275 Leaves, G Schmuck and I. Moya, 47:72 Forests Fluorescence Age Dependence of Forest Reflectance: Analysis of Main Blue, Green, and Red Fluorescence Emission Signatures of Driving Factors, T. Nilson and U. Peterson, 48:319 Green, Etiolated, and White Leaves, F. Stober, M. Lang, Assessment of Forest Damage with Landsat TM: Correction and H. K. Lichtenthaler, 47:65 for Varying Forest Stand Characteristics, $. Ekstrand, Chlorophyll Fluorescence and Delayed Fluorescence as Po- 47:291 362 Subject Index Changes in Satellite-Measured Reflectance Caused by Thin- Northern Forest Classification Using Temporal Multifre- ning Cuttings in Boreal Forest, H. Olsson, 50:221 quency and Multipolarimetric SAR Images, K. J. Ranson and Comparative Analysis of Data Acquired by Three Narrow- C. Sun, 47:142 Band Airborne Spectroradiometers over Subboreal Vegeta- Radar Measurement of Forested Areas during OTTER, N, tion, W.T. Lawrence, D. L. Williams, K. J. Ranson, J. R. Moghaddam, S. Durden, and H. Zebker, 47:154 Radar Remote Sensing of Forest and Wetland Ecosystems in Irons, and C. L. Walthall, 47:204 the Central American Tropics, K. O. Pope, J. M. Rey-Be- Comparison of Remotely Sensed and Model-Simulated Soil nayas, andJ . F. Paris, 48:205 Moisture over a Heterogeneous Watershed, D.-S Lin, E. F. Reflectance Anisotropy for a Spruce-Hemlock Forest Can- Wood, P. A. Troch, M. Mancini, T,J. Jackson, 48:159 opy, D. W. Deering, E. M. Middleton, and T. F. Eck, 47:242 Digital and Visual Analysis of Thematic Mapper Imagery for Reflectance Anisotropy for Nadir Observations of Coniferous Differentiating Old Growth from Younger Spruce-Fir Forest Canopies, P. Syrén, 49:72 Stands, E. M. Nel, C. A. Wessman, and T. T. Veblen, 48:291 Relationships between Soil Properties and Vegetation at the The Effects of Changes in Loblolly Pine Biomass and Soil Northern Experimental Forest, Howland, Maine, E. R. Lev- Moisture on ERS-1 SAR Backscatter, Y. Wang, E. S. Kasis- ine, R. G. Knox, and W. T. Lawrence, 47:231 chke, J. M. Melack, F. W. Davis, and N. L. Christensen, Jr. Remote Sensing and the Measurement of Geographical Enti- 49:25 ties in a Forested Environment. 2. The Optimal Spatial Res- Evaluation of a Temporal Fire Risk Index in Mediterranean olution, D. J. Marceau, D. J. Gratton, R. A. Fournier, and Forests from NOAA Thermal IR, A. Vidal, F. Pinglo, H. J.-P. Fortin, 49:105 Durand, C. Devaux-Ros, and A. Maillet, 49:296 Remote Sensing and the Measurement of Geographical Enti- Evaluation of Airborne Video Data for Land-Cover Classifi- ties in a Forested Environment. I. The Scale and Spatial Ag- cation Accuracy Assessment in an Isolated Brazilian Forest, gregation Problem, D. J. Marceau, P. J. Howarth, and D. J. S. E. Marsh,J . L. Walsh, and C. Sobrevila, 48:61 Gratton, 49:93 Forest Textural Properties from Simulated Microwave Temporal and Spatial Variations in Dielectric Constant and Backscatter: The Influence of Spatial Resolution,J . F. Wei- Water Status of Dominant Forest Species from New Eng- shampel, G. Sun, K. J. Ranson, K. D. LeJeune, and Shugart land, W. A. Salas,J .K . Ranson, B. N. Rock, and K. T. Smith, H. H., 47:120 47:109 High-Spectral Resolution Field and Laboratory Optical Re- Updated Thermal Model Using Simplified Short-Wave Radi- flectance Measurements of Red Spruce and Eastern Hem- osity Calculations, J. A. Smith and S. M. Goltz, 47:167 lock Needles and Branches, B. N. Rock, D. L. Williams, D. Visible-Near Infrared Spectral Reflectance of Landscape M. Moss, G. N. Lauten, and M. Kim, 47:176 Components in Western Oregon, S. N. Goward, K. F. Modeling Bidirectional Radiance Measurements Collected by Huemmrich, and R. H. Waring, 47:190 the Advanced Solid-State Array Spectroradiometer (ASAS) Geology over Oregon Transect Conifer Forests, A. A. Abuelgasim The Influence of Weathering and Lichen Cover on the Re- and A. H. Strahler, 47:261 flectance Spectra of Granitic Rocks, E. M. Rollin, E. J. Mil- Modeling P-Band SAR Returns from a Red Pine Stand, R. H. ton, and P. Roche, 50:194 Lang, N. S. Chauhan, K. J. Ranson, and O. Kilic, 47:132 Spectral, Spatial, and Geomorphometric Variables for the Re- Monitoring of Environmental Conditions in Taiga Forests mote Sensing of Slope Processes, G. J.M cDermid and S. E. Using ERS-1 SAR, E. Rignot, J. B. Way, K. McDonald, L. Franklin, 49:57 Viereck, C. Williams, P. Adams, C. Payne, W. Wood, andJ . Spectral Discrimination of Contact Metamorphic Zones and Shi, 49:145 Its Potential for Mineral Exploration, Province of Sala- Multispectral Bidirectiional Reflectance of Northern Forest manca, Spain, M. A. Goossens and S. B. Kroonenberg, Canopies with the Advanced Solid-State Array Spectroradi- 47:331 ometer (ASAS), K. R. Ranson, J. R. Irons, and D. L. Wil- Global Change liiams, 47:276 Modeling of Global Change Phenomena with GIS Using the Multivariate Analysis of AVIRIS Data for Canopy Biochemi- Global Change Data Base. I: Modeling with GIS, D. A. cal Estimation along the Oregon Transect, L. F. Johnson, C. Hastings and L. Di, 49:1 A. Hlavka, and D. L. Peterson, 47:216 Modeling of Global Change Phenomena with GIS Using the NASA Multisensor Aircraft Campaigns for the Study of For- Global Change Data Base. II: Prototype Synthesis of est Ecosystems, S. N. Goward, D. L. Williams, and D. L. AVHRR-Based Vegetation Index from Terrestrial Data, D. Peterson, 47:107 A. Hastings and L. Di, 49:13

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