Bulletin of Surveying and Mapping ›› 2022, Vol. 0 ›› Issue (9): 39-44.doi: 10.13474/j.cnki.11-2246.2022.0261

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Analysis of temporal and spatial changes of the central plains urban agglomeration based on luminous remote sensing data

CHENG Jiehai, HU Pan, YUAN Zhanliang   

  1. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China
  • Received:2021-11-15 Revised:2022-07-20 Published:2022-09-30

Abstract: Based on the “NPP-VIIRS-like” luminous remote sensing data set, this paper uses the improved statistical data comparison method to extract the built-up area of the central plains urban agglomeration, and analyzes the temporal and spatial variation characteristics of the built-up area of the central plains urban agglomeration from 2002 to 2020 in combination with the center of gravity migration index and the typical landscape pattern index. Research shows that: ①The expansion intensity of the built-up areas of the central plains urban agglomeration is first fast and then slow, and the overall trend is declining. The center of gravity of the built-up area finally points to the southeast after several shifts, but it has always been located within the Zhengzhou metropolitan area.②The urban agglomeration in the central plains has developed rapidly. The total area of built-up areas has increased by 1.429 times between 2002 and 2020, and a large number of emerging towns have appeared between 2011 and 2012. After 2014, it has stabilized, and the connection between towns has become more and more close. ③The complexity of the spatial pattern of the built-up areas of the central plains urban agglomeration has increased year by year, and the degree of fragmentation has generally decreased. The expansion rate of the built-up areas in the Zhengzhou metropolitan area is significantly faster than that of the overall built-up areas of the central plains urban agglomeration.

Key words: luminous remote sensing, the central plains urban agglomeration, temporal and spatial changes, landscape pattern index, improved statistical data comparison method

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