Sensors, Vol. 18, Pages 4319: Quantifying Short-Term Urban Land Cover Change with Time Series Landsat Data: A Comparison of Four Different Cities

Sensors, Vol. 18, Pages 4319: Quantifying Short-Term Urban Land Cover Change with Time Series Landsat Data: A Comparison of Four Different Cities
Sensors doi: 10.3390/s18124319
Authors:
Hongsheng Zhang
Ting Wang
Yuhan Zhang
Yiru Dai
Jiangjie Jia
Chang Yu
Gang Li
Yinyi Lin
Hui Lin
Yang Cao

Short-term characteristics of urban land cover change have been observed and reported from satellite images, although urban landscapes are mainly influenced by anthropogenic factors. These short-term changes in urban areas are caused by rapid urbanization, seasonal climate changes, and phenological ecological changes. Quantifying and understanding these short-term characteristics of changes in various land cover types is important for numerous urban studies, such as urbanization assessments and management. Many previous studies mainly investigated one study area with insufficient datasets. To more reliably and confidently investigate temporal variation patterns, this study employed Fourier series to quantify the seasonal changes in different urban land cover types using all available Landsat images over four different cities, Melbourne, Sao Paulo, Hamburg, and Chicago, within a five-year period (2011–2015). The overall accuracy was greater than 86% and the kappa coefficient was greater than 0.80. The R-squared value was greater than 0.80 and the root mean square error was less than 7.2% for each city. The results indicated that (1) the changing periods...

Source: Sensors - December 7, 2018 Category: Biotechnology Authors: Hongsheng Zhang Ting Wang Yuhan Zhang Yiru Dai Jiangjie Jia Chang Yu Gang Li Yinyi Lin Hui Lin Yang Cao Tags: Article Source Type: research