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Mapping Urban Land Use by Using Landsat Images and Open Social Data
16 references·5 citing·41 second hop
Mapping Urban Land Use by Using Landsat Images and Open Social Data (2016)Mapping Urban Land Use by Using Landsat I…Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Social Sensing: A New Approac…Automated identification and characterization of parcels with OpenStreetMap and points of interest (2015)Automated identification and …A 30-year (1984–2013) record of annual urban dynamics of Beijing City derived from Landsat data (2015)A 30-year (1984–2013) record …A new insight into land use classification based on aggregated mobile phone data (2014)A new insight into land use c…Urbanisation and health in China (2012)Urbanisation and health in Ch…Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai (2012)Urban land uses and traffic ‘…Inferring land use from mobile phone activity (2012)Inferring land use from mobil…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2011)Researching Volunteered Geogr…Measuring social functions of city regions from large-scale taxi behaviors (2011)Measuring social functions of…Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks (2010)Does Urban Mobility Have a Da…Residential Redevelopment and the Entrepreneurial Local State: The Implications of Beijing’s Shifting Emphasis on Urban Redevelopment Policies (2009)Residential Redevelopment and…Placemarks and waterlines: Racialized cyberscapes in post-Katrina Google Earth (2009)Placemarks and waterlines: Ra…Housing Inequality in Transitional Beijing (2009)Housing Inequality in Transit…Introduction to digital gazetteer research (2008)Introduction to digital gazet…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile Landscapes: Using Loca…Integrating remote sensing and geospatial big data for urban land use mapping: A review (2021)Integrating remote sensing an…Deep learning-based remote and social sensing data fusion for urban region function recognition (2020)Deep learning-based remote an…Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine (2018)Geospatial analysis of land u…Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data (2017)Mapping fine-scale population…Classifying urban land use by integrating remote sensing and social media data (2017)Classifying urban land use by…Obesity relationships with community design, physical activity, and time spent in cars (2004)Citizens as sensors: the world of volunteered geography (2007)OpenStreetMap: User-Generated Street Maps (2008)Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy (2016)Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model (2016)Analyzing spatial relationships between urban land use intensity and urban vitality at street block level: A case study of five Chinese megacities (2019)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, economies, societies and nations (2004)4 What Is Web 2.0? 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References

  • 2012Urbanisation and health in China1,246 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,151 cited
  • 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis888 cited
  • 2011Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice864 cited
  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments807 cited
  • 2012Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai429 cited
  • 2014A new insight into land use classification based on aggregated mobile phone data406 cited
  • 2015A 30-year (1984–2013) record of annual urban dynamics of Beijing City derived from Landsat data384 cited
  • 2015Automated identification and characterization of parcels with OpenStreetMap and points of interest326 cited
  • 2012Inferring land use from mobile phone activity313 cited
  • 2010Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks277 cited
  • 2009Residential Redevelopment and the Entrepreneurial Local State: The Implications of Beijing’s Shifting Emphasis on Urban Redevelopment Policies216 cited
  • 2009Housing Inequality in Transitional Beijing211 cited
  • 2009Placemarks and waterlines: Racialized cyberscapes in post-Katrina Google Earth

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202 cited
  • 2008Introduction to digital gazetteer research155 cited
  • 2011Measuring social functions of city regions from large-scale taxi behaviors153 cited
  • Cited by

    • 2017Classifying urban land use by integrating remote sensing and social media data368 cited
    • 2018Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine241 cited
    • 2021Integrating remote sensing and geospatial big data for urban land use mapping: A review229 cited
    • 2017Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data227 cited
    • 2020Deep learning-based remote and social sensing data fusion for urban region function recognition209 cited