research-article

An integrative method for mapping urban land use change using "geo-sensor" data

Authors:

Caixia WangAuthors Info & Claims

UrbanGIS'15: Proceedings of the 1st International ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics

Pages 47 - 54

https://doi.org/10.1145/2835022.2835031

Published: 03 November 2015 Publication History

Abstract

Due to lack of high-resolution data both in space and time, mapping land use change in built-up areas remain challenging. In this work, we developed an approach that integrates multiple "geo-sensor" data sources, including remote sensing and social media, for mapping urban land use changes. The approach starts by mapping built-up expansion annually in small patches, using dense time periods of remotely sensed imagery. We refine these patches and identify the major categories of land use such as residential, commercial, manufacturing, recreational, and office. We further select one major category---residential---and use social media data and house trading records to classify it into three sub-categories: gated communities, ordinary communities, and urban slums. We demonstrate our approach using the multi-sourced data of Kunming, a medium-sized city in China. The results showed that our approach provides an efficient and integrative way for mapping large-scale land use change in urban regions with significant details that are not feasible only with limited remote sensing data.

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Cited By

Yin JFu PHamm NLi ZYou NHe YCheshmehzangi ADong J(2021)Decision-Level and Feature-Level Integration of Remote Sensing and Geospatial Big Data for Urban Land Use MappingRemote Sensing10.3390/rs1308157913:8(1579)Online publication date: 19-Apr-2021
https://doi.org/10.3390/rs13081579
Chang C(2020)A Data Driven Approach to Study the Social and Political Statuses of Urban Communities in KunmingJournal of Chinese History10.1017/jch.2019.42(1-21)Online publication date: 21-Apr-2020
https://doi.org/10.1017/jch.2019.42
Simwanda MMurayama Y(2017)Integrating Geospatial Techniques for Urban Land Use Classification in the Developing Sub-Saharan African City of Lusaka, ZambiaISPRS International Journal of Geo-Information10.3390/ijgi60401026:4(102)Online publication date: 30-Mar-2017
https://doi.org/10.3390/ijgi6040102

Index Terms

An integrative method for mapping urban land use change using "geo-sensor" data
1. Applied computing
  1. Law, social and behavioral sciences

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cover image ACM Conferences

UrbanGIS'15: Proceedings of the 1st International ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics

November 2015

128 pages

ISBN:9781450339735

DOI:10.1145/2835022

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 November 2015

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SIGSPATIAL'15: 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 3 - 6, 2015

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Cited By

Yin JFu PHamm NLi ZYou NHe YCheshmehzangi ADong J(2021)Decision-Level and Feature-Level Integration of Remote Sensing and Geospatial Big Data for Urban Land Use MappingRemote Sensing10.3390/rs1308157913:8(1579)Online publication date: 19-Apr-2021
https://doi.org/10.3390/rs13081579
Chang C(2020)A Data Driven Approach to Study the Social and Political Statuses of Urban Communities in KunmingJournal of Chinese History10.1017/jch.2019.42(1-21)Online publication date: 21-Apr-2020
https://doi.org/10.1017/jch.2019.42
Simwanda MMurayama Y(2017)Integrating Geospatial Techniques for Urban Land Use Classification in the Developing Sub-Saharan African City of Lusaka, ZambiaISPRS International Journal of Geo-Information10.3390/ijgi60401026:4(102)Online publication date: 30-Mar-2017
https://doi.org/10.3390/ijgi6040102

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