Identifying Urban Built-Up Areas Based on Spatial Coupling between Nighttime Light Data and POI: A Case Study of Changchun
Nighttime light (NTL) data and points of interest (POI) data offer precise visual indications of the distributional characteristics of urban spatial structures. This study employed nighttime light data and point of interest data to investigate spatial distribution patterns in Changchun, a selected s...
Main Authors: | Ziting Wu, Xindong Wei, Xiujuan He, Weijun Gao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Buildings |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-5309/14/1/19 |
Similar Items
-
Analyzing the Spatially Heterogeneous Relationships between Nighttime Light Intensity and Human Activities across Chongqing, China
by: Jihao Wu, et al.
Published: (2022-11-01) -
Integrating Spatial Heterogeneity to Identify the Urban Fringe Area Based on NPP/VIIRS Nighttime Light Data and Dual Spatial Clustering
by: Jie Zhu, et al.
Published: (2022-12-01) -
Developing a Pixel-Scale Corrected Nighttime Light Dataset (PCNL, 1992–2021) Combining DMSP-OLS and NPP-VIIRS
by: Shijie Li, et al.
Published: (2023-08-01) -
Nighttime luminosity transitions are tightly spatiotemporally correlated with land use changes: A pixelwise case study in Beijing, China
by: Junfu Fan, et al.
Published: (2022-12-01) -
Estimating Local Inequality from Nighttime Lights
by: Nils B. Weidmann, et al.
Published: (2021-11-01)