Multitemporal analysis of urban reflectance

[1]  Kurtis J. Thome,et al.  A refined empirical line approach for reflectance factor retrieval from Landsat-5 TM and Landsat-7 ETM+ , 2001 .

[2]  V. Caselles,et al.  An alternative simple approach to estimate atmospheric correction in multitemporal studies , 1989 .

[3]  Brian L. Markham,et al.  Thematic Mapper bandpass solar exoatmospheric irradiances , 1987 .

[4]  Alan R. Gillespie,et al.  Vegetation in deserts. I - A regional measure of abundance from multispectral images. II - Environmental influences on regional abundance , 1990 .

[5]  C. Small.  Multiresolution analysis of urban reflectance , 2001, IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Cat. No.01EX482).

[6]  R. R. Lamacraft,et al.  Calibration of LANDSAT data for sparsely vegetated semi-arid rangelands , 1986 .

[7]  J. Settle,et al.  Linear mixing and the estimation of ground cover proportions , 1993 .

[8]  P. Deschamps,et al.  Description of a computer code to simulate the satellite signal in the solar spectrum : the 5S code , 1990 .

[9]  E. Milton,et al.  The use of the empirical line method to calibrate remotely sensed data to reflectance , 1999 .

[10]  D. Roberts,et al.  Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data , 1993 .

[11]  C. Small.  Estimation of urban vegetation abundance by spectral mixture analysis , 2001 .

[12]  R. Hites,et al.  Polycyclic Aromatic Hydrocarbon Accumulation in Urban, Suburban, and Rural Vegetation , 1997 .

[13]  C. Pieters,et al.  Remote geochemical analysis : elemental and mineralogical composition , 1993 .

[14]  Frederick E. Boland,et al.  Analysis of Urban-Rural Canopy Using a Surface Heat Flux/Temperature Model , 1978 .

[15]  W. Menke.  Geophysical data analysis : discrete inverse theory , 1984 .

[16]  J. Ormsby.  Evaluation of natural and man-made features using Landsat TM data , 1992 .

[17]  J. Boardman.  Inversion Of Imaging Spectrometry Data Using Singular Value Decomposition , 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

[18]  A. Goetz,et al.  Software for the derivation of scaled surface reflectances from AVIRIS data , 1992 .

[19]  D. Lobell,et al.  Quantifying vegetation change in semiarid environments: precision and accuracy of spectral mixture analysis and the normalized difference vegetation index. , 2000 .

[20]  P. Switzer,et al.  A transformation for ordering multispectral data in terms of image quality with implications for noise removal , 1988 .

[21]  R. Singer,et al.  Mars - Large scale mixing of bright and dark surface materials and implications for analysis of spectral reflectance , 1979 .

[22]  John B. Adams,et al.  Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon , 1995 .

[23]  William J. Volchok,et al.  Radiometric scene normalization using pseudoinvariant features , 1988 .

[24]  R. Kauth,et al.  The tasselled cap - A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat , 1976 .

[25]  Paul E. Johnson,et al.  Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysis , 1985 .

[26]  Paul E. Johnson,et al.  Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 Site , 1986 .

[27]  Paul E. Johnson,et al.  Quantitative analysis of planetary reflectance spectra with principal components analysis , 1985 .

[28]  David J. Nowak,et al.  Air pollution removal by Chicago's urban forest , 1994 .

[29]  J. Conel.  Determination of surface reflectance and estimates of atmospheric optical depth and single scattering albedo from Landsat Thematic Mapper data , 1990 .

[30]  R. Singer.  Near-infrared spectral reflectance of mineral mixtures - Systematic combinations of pyroxenes, olivine, and iron oxides , 1981 .

[31]  C. L. Brest.  Seasonal albedo of an urban/rural landscape from satellite observations , 1987 .

[32]  J. B. Lee,et al.  Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform , 1990 .

[33]  Samuel N. Goward,et al.  Deriving surface albedo measurements from narrow band satellite data , 1987 .

[34]  R. Jackson.  Spectral indices in N-Space , 1983 .

[35]  E. Mcpherson,et al.  Chicago's urban forest ecosystem: Results of the Chicago Urban Forest Climate Project. (Includes executive summary). Forest Service general technical report (Final) , 1994 .

[36]  Samuel N. Goward,et al.  Observed relation between thermal emission and reflected spectral radiance of a complex vegetated landscape , 1985 .

[37]  Paul E. Johnson,et al.  A semiempirical method for analysis of the reflectance spectra of binary mineral mixtures , 1983 .

[38]  S. Goetz,et al.  Radiometric rectification - Toward a common radiometric response among multidate, multisensor images , 1991 .

[39]  Gerhard Meister,et al.  Large-scale bidirectional reflectance model for urban areas , 2001, IEEE Trans. Geosci. Remote. Sens..

[40]  R. Welch,et al.  Spatial resolution requirements for urban studies , 1982 .

[41]  T. Oke.  The energetic basis of the urban heat island , 1982 .