Analyzing Spectral Characteristics of Shadow Area from ADS 40 High Radiometric Resolution Aerial Images
Abstract. The shadows in optical remote sensing images are regarded as image nuisances in numerous applications. The classification and interpretation of shadow area in a remote sensing image are a challenge, because of the reduction or total loss of spectral information in those areas. In recent years, airborne multispectral aerial image devices have been developed 12 bit or higher radiometric resolution data, including Leica ADS 40, Intergraph DMC. The increased radiometric resolution of digital imagery provides more radiometric details of potential use in classification or interpretation of land cover of shadow areas. Therefore, the objectives of this study are to analyze the spectral properties of the land cover in the shadow areas by ADS 40 high radiometric resolution aerial images, and to investigate the spectral and vegetation index differences between the various shadow and non shadow land covers. According to research findings of spectral analysis of ADS 40 image: (i) The DN values in shadow area are much lower than in nonshadow area; (ii) DN values received from shadowed areas that will also be affected by different land cover, and it shows the possibility of land cover property retrieval as in nonshadow area; (iii) The DN values received from shadowed regions decrease in the visible band from short to long wavelengths due to scattering; (iv) The shadow area NIR of vegetation category also shows a strong reflection; (v) Generally, vegetation indexes (NDVI) still have utility to classify the vegetation and non vegetation in shadow area. The spectral data of high radiometric resolution images (ADS 40) is potential for the extract land cover information of shadow areas.