Multiscale Fractal Characteristics of Urban Landscape in Indianapolis, USA
Fractal dimension (FD) algorithm, Fractal measurement, Indianapolis, Scales, Urban landscape
Scale Issues in Remote Sensing
This chapter presents an evaluation of the effectiveness of the selected triangular prism (TP) fractal dimension (FD) algorithm for characterizing urban landscape in Indianapolis, Indiana, at multiple spatial and temporal scales. The study aims at analyzing the performance of the TP approach in capturing different fractal properties recorded in remotely sensed data acquired by various sensors. It examines fractal properties of the urban landscape derived by using raw and classified images. The study also analyzes the effect of scale change on image properties with resampled images, and investigates the potential of FD in revealing landscape changes between 1985 and 2000 by four Landsat TM/ETM+ images. The efficiency of fractal measurement for detecting the scaling properties of remote sensing images due to the resampling process is also evaluated with the resampled images.
Department of Geography
Original Publication Date
DOI of published version
Liang, Bingqing and Weng, Qihao, "Multiscale Fractal Characteristics of Urban Landscape in Indianapolis, USA" (2014). Faculty Publications. 1394.