Mapping urban land use by using landsat images and open social data

T Hu, J Yang, X Li, P Gong - Remote sensing, 2016 - mdpi.com
… no reports on using POI data and satellite data jointly to produce detailed land use maps. To
… utilizes medium-resolution satellite images and POI data to map urban land uses. In the rest …

The combined use of remote sensing and social sensing data in fine-grained urban land use mapping: A case study in Beijing, China

Y Zhang, Q Li, H Huang, W Wu, X Du, H Wang - Remote Sensing, 2017 - mdpi.com
… paper to automatically map fine-grained urban land use in a study … imagery and multi-source
social sensing data were used to … satellite that was launched on 19 August 2014. The GF-2 …

Classifying urban land use by integrating remote sensing and social media data

X Liu, J He, Y Yao, J Zhang, H Liang… - International Journal …, 2017 - Taylor & Francis
… HSR remote sensing images and social media data. In this … information extracted from
urban land use mapping is applied. … gap for satellite image annotation and automatic mapping

An ensemble learning approach for urban land use mapping based on remote sensing imagery and social sensing data

Z Huang, H Qi, C Kang, Y Su, Y Liu - Remote Sensing, 2020 - mdpi.com
… remote sensing and social sensing data. … social sensing data for urban land use mapping
tasks. We utilize diverse datasets including high resolution satellite images, street-view images

Urban land use and land cover classification using multisource remote sensing images and social media data

Y Shi, Z Qi, X Liu, N Niu, H Zhang - Remote Sensing, 2019 - mdpi.com
… to map urban LULC based on the synergy of social media data … sensing images, especially
multisource remote sensing data. … only used the multispectral bands of the Landsat 8 image. …

Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America

B Chen, Y Tu, Y Song, DM Theobald, T Zhang… - ISPRS Journal of …, 2021 - Elsevier
social sensing data and methods have shown great potentials in mapping urban land use
… classification at large scales without VHR satellite imagery, and we could rely on global free-…

Annual large-scale urban land mapping based on Landsat time series in Google Earth Engine and OpenStreetMap data: A case study in the middle Yangtze River …

D Liu, N Chen, X Zhang, C Wang, W Du - ISPRS Journal of …, 2020 - Elsevier
from original Landsat images and the three 30 m urban land … referenced Landsat images
shows that our mapping results … m urban land cover product for the MYRB was produced from

[HTML][HTML] Social functional mapping of urban green space using remote sensing and social sensing data

W Chen, H Huang, J Dong, Y Zhang, Y Tian… - ISPRS Journal of …, 2018 - Elsevier
urban landscape, UGS mapping should involve consideration of its physical properties and
its social functions, which correspond to urban land cover … -date Landsat imagery. Moreover, …

Mapping urban land use at street block level using openstreetmap, remote sensing data, and spatial metrics

T Grippa, S Georganos, S Zarougui… - … International Journal of …, 2018 - mdpi.com
… the urban environment. This research presents a workflow … mapping urban land use at the
street block level, with a focus on residential use, using very-high resolution satellite imagery

Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach

A Schneider - Remote Sensing of Environment, 2012 - Elsevier
… in dense time stacks of Landsat imagery using a multi-date … of Landsat 5 and Landsat 7
imagery used to map land coverfrom cropland to urban land in each region, mapped for five …