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Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover

Published on Feb 1, 2018in Resources Conservation and Recycling7.04
· DOI :10.1016/j.rse.2017.11.026
Ran Goldblatt7
Estimated H-index: 7
(UCSD: University of California, San Diego),
Michelle Stuhlmacher2
Estimated H-index: 2
(ASU: Arizona State University)
+ 8 AuthorsRobert C. Balling29
Estimated H-index: 29
(ASU: Arizona State University)
Abstract
Abstract Reliable representations of global urban extent remain limited, hindering scientific progress across a range of disciplines that study functionality of sustainable cities. We present an efficient and low-cost machine-learning approach for pixel-based image classification of built-up areas at a large geographic scale using Landsat data. Our methodology combines nighttime-lights data and Landsat 8 and overcomes the lack of extensive ground-reference data. We demonstrate the effectiveness of our methodology, which is implemented in Google Earth Engine, through the development of accurate 30 m resolution maps that characterize built-up land cover in three geographically diverse countries: India, Mexico, and the US. Our approach highlights the usefulness of data fusion techniques for studying the built environment and is a first step towards the creation of an accurate global-scale map of urban land cover over time.
  • References (103)
  • Citations (21)
References103
Newest
#1Andrew MacLachlan (University of Southampton)H-Index: 3
#2Gareth Roberts (University of Southampton)H-Index: 24
Last.Bryan Boruff (UWA: University of Western Australia)H-Index: 18
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#1Hallie Eakin (ASU: Arizona State University)H-Index: 32
#2Amy M. Lerner (UNAM: National Autonomous University of Mexico)H-Index: 10
Last.Luis A. Bojórquez-Tapia (UNAM: National Autonomous University of Mexico)H-Index: 16
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#1Neal Jean (Stanford University)H-Index: 4
#2Marshall Burke (Stanford University)H-Index: 28
Last.Stefano Ermon (Stanford University)H-Index: 23
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#1Ying Liu (TTU: Texas Tech University)H-Index: 5
#2Tina Delahunty (BU: Bloomsburg University of Pennsylvania)H-Index: 2
Last.Guofeng Cao (TTU: Texas Tech University)H-Index: 13
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#1Shuqing Zhao (PKU: Peking University)H-Index: 25
#2Shuguang Liu (South Dakota State University)H-Index: 37
Last.Decheng Zhou (PKU: Peking University)H-Index: 19
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#1Yong Ge (CAS: Chinese Academy of Sciences)H-Index: 18
#2Shan Hu (CAS: Chinese Academy of Sciences)H-Index: 1
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#2Yun Chen (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 21
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