Mapping urban expansion using night-time light images from Luojia1-01 and International Space Station-Reference-Cited by-同舟云学术

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Mapping urban expansion using night-time light images from Luojia1-01 and International Space Station

Published:2019-11-19 Issue:7 Volume:41 Page:2603-2623
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Yin Zimin¹,Li Xi¹²,Tong Fei³,Li Zhibiao³,Jendryke Michael¹⁴

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, China

3. Institute of West-Asian and African Studies, Chinese Academy of Social Sciences, Beijing, China

4. School of Resource and Environmental Sciences, Wuhan University, Wuhan, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1693661

Reference57 articles.

1. Characterizing relationships between population density and nighttime imagery for Denver, Colorado: issues of scale and representation

2. Contrasting trends in light pollution across Europe based on satellite observed night time lights

3. Per-pixel and object-oriented classification methods for mapping urban features using Ikonos satellite data

4. Detecting Light Outages After Severe Storms Using the S-NPP/VIIRS Day/Night Band Radiances

5. Using luminosity data as a proxy for economic statistics

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1. The Impact of the Expansion and Contraction of China Cities on Carbon Emissions, 2002–2021, Evidence from Integrated Nighttime Light Data and City Attributes;Remote Sensing;2024-09-03

2. Urban Growth Monitoring and Prediction Using Remote Sensing Urban Monitoring Indices Approach and Integrating CA-Markov Model: A Case Study of Lagos City, Nigeria;Sustainability;2023-12-19

3. Estimating change in the spatial economy of the city of Johannesburg using nighttime lights imagery and population data in a Random Forest modelling environment;Remote Sensing Technologies and Applications in Urban Environments VIII;2023-10-19

4. Nighttime light remote sensing for urban applications: Progress, challenges, and prospects;ISPRS Journal of Photogrammetry and Remote Sensing;2023-08

5. Time Ring Data: Definition and Application in Spatio-Temporal Analysis of Urban Expansion and Forest Loss;Remote Sensing;2023-02-10

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