Normalization of time series DMSP-OLS nighttime light images for urban growth analysis with Pseudo Invariant Features

2014 ◽  
Vol 128 ◽  
pp. 1-13 ◽  
Author(s):  
Ye Wei ◽  
Hongxing Liu ◽  
Wei Song ◽  
Bailang Yu ◽  
Chunliang Xiu
2020 ◽  
Vol 12 (11) ◽  
pp. 4673
Author(s):  
Inmaculada Picon-Cabrera ◽  
Jesus Maria Garcia-Gago ◽  
Luis Javier Sanchez-Aparicio ◽  
Pablo Rodriguez-Gonzalvez ◽  
Diego Gonzalez-Aguilera

Historical aerial images are a unique and relatively unexplored means of deriving spatio-temporal information for scenes and landscapes. Such historical imagery can be combined with photointerpretation and image-based 3D modelling techniques, providing the fourth dimension of time to 3D geometrical representations. This allows urban planners, historians, and other specialists to identify, describe, and analyse changes in scenes and landscapes. Urban growth has an important impact on the sustainable development of cities. An important step for the analysis of urban growth is the identification of different urban sectors. To this end, this paper proposes a methodology for the 4D urban growth analysis of cities through time using a free and open source software developed by the authors. This approach uses the latest advances in photogrammetry, including the so-called incremental Structure from Motion, to evaluate the urbanistic changes of a city by means of confronting two-point clouds from different eras. The objectives of this paper are twofold: (i) first, the processing of historical aerial images using modern photogrammetric techniques; (ii) second, deriving spatio-temporal information for urban cities, offering a method for researchers to identify changes over time. In order to validate this method, the urban growth of the city of Avila between 1956 and 2017 was assessed taking the historical American flight of 1956 and the digital aerial flight of 2017. The results were statistically assessed according to georeferencing quality, confirming that the approach developed can be used to support urban growth analysis through time and providing relevant data in 2D and 3D.


Author(s):  
Zuoqi Chen ◽  
Bailang Yu ◽  
Yuyu Zhou ◽  
Hongxing Liu ◽  
Chengshu Yang ◽  
...  

1979 ◽  
Vol 11 (10) ◽  
pp. 1105-1114 ◽  
Author(s):  
N Sakashita

This paper is an excerpt from a book written by three authors, Sakashita, Asano, and Irie (1979), in which a multidimensional analysis of the urban growth in postwar Japan has been made. After a brief introduction, an analysis that involves the use of several kinds of Hoover indices for the set of all Japanese cities over the period 1955–1975 is made, with a view to demonstrating the strong tendency of the population to concentrate in the metropolitan area. Application of the theoretical lognormal and Pareto distributions is then discussed. The paper closes with a theoretical consideration that coordinates the observations presented.


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257776
Author(s):  
Yanghua Zhang ◽  
Liang Zhao ◽  
Hu Zhao ◽  
Xiaofeng Gao

Uncontrolled urban growth detracts from healthy urban development. Understanding urban development trends and predicting future urban spatial states is of great practical significance. In order to comprehensively analyze urbanization and its effect on vegetation cover, we extracted urban development trends from time series DMSP/OLS NTL and NDVI data from 2000 to 2015, using a linear model fitting method. Six urban development trend types were identified by clustering the linear model parameters. The identified trend types were found to accurately reflect the on-ground conditions and changes in the Jinan area. For example, a high-density, stable urban type was found in the city center while a stable dense vegetation type was found in the mountains to the south. The SLEUTH model was used for urban growth simulation under three scenarios built on the urban development analysis results. The simulation results project a gentle urban growth trend from 2015 to 2030, demonstrating the prospects for urban growth from the perspective of environmental protection and conservative urban development.


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