Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

damen, m. c. j.

Bibliographic data

Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856641294

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: IX Seiten, Seiten 551-956

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A,. A. Balkema

Identifier (digital):: 856641294

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,2)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Damen, M. C. J.

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: 7 Human settlements: Urban surveys, human settlement analysis and archaeology. Chairman: W. G. Collins, Co-chairman: B. C. Forster, Liaison: P. Hofstee

Write comment:: Wegen zu enger Bindung kommt es teilweise im Original zu Textverlust.

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Evaluation of combined multiple incident angle SIR-B digital data and Landsat MSS data over an urban complex. B. C. Forster

Document type:: Multivolume work

Structure type:: Chapter

813 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 Evaluation of combined multiple incident angle SIR-B digital data and Landsat MSS data over an urban complex B.C.Forster Centre for Remote Sensing, University of New South Wales, Sydney, Australia ABSTRACT: As part of the NASA sponsored SIR-B experiment, digital data with incident angles of 17°, 36° and 43° were recorded over Sydney, Australia, and havebeen used in a study of radar imagery for urban purposes. The effect on radar backscatter of the multifaceted and oriented features found in urban regions has been examined as a means for improving urban discrimination when combined with Landsat multispectral data. Imagery at different incidence angles were registered to each other and to Landsat data and analysed using an image analysis computer system. While systematic interpretation of the radar imagery is complicated by the high response from urban features aligned at right angles to the incident radiation, the combined radar and Land sat images are shown to give good discrimination between sites cleared for development and those heavily urbanised. These areas show a similar Landsat response but are markedly different in radar. Moreover in older residential areas, with significant tree cover, the Landsat response is dominated by the vegetation signature, while radar is shown to provide an increased response from the underlying buildings. 1. INTRODUCTION A number of previous studies have examined urban areas using radar imagery, these include Bryan (1979) and, Hardaway and Gustafson (1982). In general these studies have concentrated on the so called 'cardinal effect'. Here the intersection of roads and build ings tend to act as corner reflectors when they are aligned at right angles to the incident radiation. They showed that backscatter was very sensitive to street alignment, and reduced from a maximum to a constant value as the street orientation approached a threshold value of 20° to 25° away from the right angle relationship. Both these studies used single incident angle synthetic aperture radar data from earlier NASA missions, Seasat and SIR-A (Shuttle Imaging Radar-A), while the present study had the advantage of multiple incident angle data in a digi tal form compatible with digital Landsat MSS data. Data over Sydney was acquired as part of the NASA SIR-B (Shuttle Imaging Radar-B) experiment launched on the 17th flight of space shuttle in October of 1984. This 8-day mission collected microwave data of many parts of the Earth's surface. Table 1 compares the characteristics of Seasat, SIR-A and SIR-B. Table 1. Characteristics of NASA Spaceborne Synthetic Aperture Radars. Seasat SIR-A SIR-B Spacecraft' 800 km 260 km 225 km Altitude Wavelength 23.5 cm 23.5 cm 23.5 cm Polarisation HH HH HH Look Angle 20° 47° 15°-57° Swath Width 100 km 50 km 14-44 km Azimuth 25 m 40 m 25 m Resolution Range Resolution 25 m 40 m 58-17 m Data at three incident angles were acquired over the Sydney region (43°, 36° and 17°), as shown in figure 1, imaged from a path to the northeast of the city. Part of the swath of the 36° data take is shown in imaee form in figure 2. 2. IMAGE REGISTRATION AND PREPROCESSING The SIR-B data was available in a digital form at 12.5 m pixel centres. Because this was substantially less than the inherent resolution of the data, and to reduce speckle effects, the data was resampled to a pixel size of 25 m using a cubic convolution re sampling procedure. Following this a total of 50 control points were selected in an overlapping area of the 43 and 36° incident angle images (with over lap dimensions of approximately 10 by 40 km). These were naturally occurring points (road and stream intersections, centres of small parks, water/land features, etc) arrayed in banks of five across track. Their location and number were designed to give maximum registration accuracy, particularly across track where the maximum errors due to geo metry would occur. Using a 2nd order polynomial transformation and holding the 36° data fixed, re gistration errors of 2.2 pixels across track and 0.9 pixels along track (standard error of the esti mate) were determined. A nearest neighbourhood re sampling procedure was used to register the 43° inci dent angle data to the 36° data. Data from Landsat bands 7 (near infrared) and 5 (visible red) were viewed simultaneously with the radar data and a total of 12 common points were determined. Selection of common points was difficult Figure. 1. Coverage of SIR-B radar swaths at 17°, 36° and 43° incident angles.

Access restriction

Copyright

fullscreen: Remote sensing for resources development and environmental management (Volume 2)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation