A Simple Method for Backdating High-Rise Building Areas from Time Series Data Using Contemporary Spatial Constraints

Zhenzhu Wang; Liwei Li; Gang Cheng

doi:10.54097/dbx4q046

Authors

Zhenzhu Wang
Liwei Li
Gang Cheng

DOI:

https://doi.org/10.54097/dbx4q046

Keywords:

High-rise building areas, backdating, composite impervious surface extraction index, long term Landsat data.

Abstract

In the past two decades, China has experienced rapid urbanization, resulting in the widespread emergence of High-Rise Building Areas (HRBAs). However, open public data on the completion times of HRBAs in large scale is still lacking due to various reasons. To fill this gap, this study proposes a simple backdating method for extracting the construction years of HRBAs using historical Landsat-5/7/8 imagery. Using the HRBAs results of the 2020 as constraints, the method constructs change features by combining spectral and spatial information to accurately capture pixel-level changes in HRBAs. Additionally, a window-based statistical replacement technique is used to minimize the influence of outlier on prediction accuracy. The proposed method is validated using Landsat data from 2000 to 2020, optimized in Zhengzhou, and tested in diverse regions including Jiaozuo, Xinyang, and Nanyang. The results demonstrate that, within a ±2-year threshold, the method achieves extraction accuracies of 80.82% (Zhengzhou), 87.31% (Jiaozuo), 66.95% (Nanyang), and 70.95% (Xinyang), confirming its effectiveness in accurately tracking HRB construction years. The proposed approach offers an efficient solution for backdating HRBAs construction times in large scale and can help provide valuable insights into the urbanization process in China.

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