Understanding the relationships between radar response patterns and the bio- and geophysical parameters of urban areas

This paper reviews the current understanding of the relationships between radar response patterns and the bio- and geophysical parameters of urban areas. Specifically, it examines the effects of radar system, ground target, and environmental factors on the intensity and pattern of radar returns from urban features. System parameters considered include radar signal wavelength, polarization, incident angle, and look direction. Ground target factors are the dielectric properties and surface roughness of urban features. The environmental variables examined entail terrain relief, street and structure configuration, soil and vegetation types, and the composition, fragmentation, and variation of urban infrastructure elements. The effects of radar data processing techniques on the detectability of settlements and the accuracy of urban land use/land cover mapping are also described.

[1]  Floyd M. Henderson Polarization, land use type and intraurban location as variables in SAR mapping accuracy , 1986 .

[2]  M. Leonard Bryan Interpretation of an urban scene using multi-channel radar imagery , 1975 .

[3]  B. Brisco,et al.  SPACEBORNE SAR DATA FOR LAND-COVER CLASSIFICATION AND CHANGE DETECTION. , 1983 .

[4]  Raymond E. Arvidson,et al.  Spaceborne Synthetic Aperture Radar: Current Status and Future Directions. A Report to the Committee on Earth Sciences. , 1995 .

[5]  D. S. Simonett,et al.  Detection of linear cultural features with multipolarized radar imagery , 1969 .

[6]  Fawwaz T. Ulaby,et al.  Matter-energy interaction in the microwave region. , 1983 .

[7]  R. Harris,et al.  SIR-A imagery of Tunisia and its potential for population estimation. , 1985, International journal of remote sensing.

[8]  J. Cihlar,et al.  Change detection with synthetic aperture radar , 1992 .

[9]  M. Bryan Analysis of two Seasat synthetic aperture radar images of an urban scene , 1982 .

[10]  Abdalla Elsadig Ali Analogue map revision with SEASAT SAR imagery , 1987 .

[11]  F. K. Li,et al.  Tradeoffs among several synthetic aperture radar image quality parameters - Results of a user survey study , 1983 .

[12]  Marc L. Imhoff,et al.  Monsoon flood boundary delineation and damage assessment using space borne imaging radar and Landsat data , 1987 .

[13]  M. I. Daily,et al.  SAR squint analysis of directional extended targets. [using Doppler filtering of SAR signal film , 1981 .

[14]  Stephen W. Wharton,et al.  Seasat SAR identification of dry climate urban land cover , 1980 .

[15]  Eric G. Moore,et al.  Side looking radar in urban research - a case study , 1969 .

[16]  Anthony J. Lewis Evaluation of multiple polarized radar imagery for the detection of selected cultural features , 1968 .

[17]  F. Fasler Texture measurements from Seasat - SAR images for urban land use interpretation , 1981 .

[18]  Floyd M. Henderson An evaluation of seasat SAR imagery for urban analysis , 1982 .

[19]  M. Bryan,et al.  The effect of radar azimuth angle on cultural data. [urban scene analysis and land use studies] , 1979 .

[20]  D. Evans,et al.  Radar polarimetry: analysis tools and applications , 1988 .

[21]  F. Ulaby,et al.  Textural Infornation in SAR Images , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Pat S. Chavez,et al.  Cover photograph Seasat radar image of the Phoenix, Arizona, Region , 1981 .

[23]  Floyd M. Henderson Confusion errors among urban land-cover types on SAR imagery , 1985 .

[24]  Floyd M. Henderson,et al.  An analysis of settlement characterization in central Europe using SIR-B radar imagery , 1995 .

[25]  David L. Toll,et al.  Analysis of digital LANDSAT MSS and SEASAT SAR data for use in discriminating land cover at the urban fringe of Denver, Colorado , 1985 .

[26]  M. Sties,et al.  Classification of urban areas in multi-date ERS-1 images using structural features and a neural network , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[27]  Floyd M. Henderson,et al.  Urban land use separability as a function of radar polarization , 1987 .

[28]  Floyd M. Henderson,et al.  Effects of radar system parameters, population, and environmental modulation on settlement visibility , 1980 .

[29]  T L Oliver,et al.  The Response of Terrestrial Surfaces at Microwave Frequencies , 1971 .

[30]  A. J. Sieber,et al.  Statistical analysis of SAR images , 1985 .

[31]  M. Leonard Bryan Urban land use classification using synthetic aperture radar , 1983 .

[32]  F. Henderson,et al.  Principles and Applications of Imaging Radar , 1998 .

[33]  M. Leonard Bryan,et al.  Potentials for change detection using seasat synthetic aperture radar data , 1984 .

[34]  C. Lo,et al.  SETTLEMENT, POPULATION AND LAND USE ANALYSES OF THE NORTH CHINA PLAIN USING SHUTTLE IMAGING RADAR‐A DATA* , 1986 .

[35]  Philip Hartl,et al.  Radar Observation Over Freiburg , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[36]  Victor S. Frost,et al.  A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[37]  Y. A. Hussin,et al.  Effect of polarization and incidence angle on radar return from urban features using L-band aircraft radar data , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[38]  W. Geile Radar imagery of the European city influenced by variations in depression angle and look direction , 1986 .

[39]  B. Haack,et al.  Merged space borne radar and Thematic Mapper digital data for locating villages in Sudan , 1994 .

[40]  S. T. Wu An improvement in land cover classification achieved by merging microwave data with Landsat multispectral scanner data , 1980 .

[41]  B. Forster An examination of some problems and solutions in monitoring urban areas from satellite platforms , 1985 .