Investigation of Spectral Characteristics of Urban Surface Materials Using Field Measurements and Hyperspectral HyMap Data
Abstract
Recent developments of remote sensing technologies allow the acquisition of data with a high spectral and spatial resolution. The high information content of hyperspectral data enables the detailed analysis urban surface materials. This yields the potential for an automated identification of urban surface materials based on their spectral shape. The base for such an analysis is a detailed knowledge about spectral characteristics of urban surface materials. This study aims at investigating the spectral characteristics of urban surface materials throughout the reflective wavelength range. For this purpose urban surface materials have been systematically measured with a field spectrometer. Furthermore the measurements have been analyzed and stored in a spectral library. For the systematic assessment of materials the urban surface is categorized in regard to its degree of surface sealing resulting in urban surface cover types. The resulting categories form the thematic frame for the assessment of urban surface materials. Sealed surfaces are analyzed in terms of variations in material and color. Non-sealed surfaces, such as soil and vegetation are investigated in regard to their special urban properties. The obtained spectral library is used to explore the spectral information content of airborne hyperspectral HyMap data, which have been aquired for the study area of Dresden, Germany. In the result 79 spectral classes could be distinguished based on these data. They represent spectrally different materials (e.g. zinc and asphalt). They also contain spectral variations of the same material, which are caused by different roof geometries, color and other coating, age and intensity of use. The results of this investigation show the high spectral variability of urban surface materials in the field measurements and in the hyperspectral data. This high information content yields the potential for area-wide automated assessment of urban surface materials.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2002
- Bibcode:
- 2002AGUFM.B61C0738H
- Keywords:
-
- 0400 BIOGEOSCIENCES