Urban Spatial Pattern and Interaction based on Analysis of Nighttime Remote Sensing Data and Geo-social Media Information

Nila Ratnasari; Erika Dwi Candra; Defa Herdianta Saputra; Aji Putra Perdana

doi:10.1088/1755-1315/47/1/012038

Urban Spatial Pattern and Interaction based on Analysis of Nighttime Remote Sensing Data and Geo-social Media Information

Nila Ratnasari, Erika Dwi Candra, Defa Herdianta Saputra, Aji Putra Perdana

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Scopus)

Abstract

Urban development in Indonesia significantly incerasing in line with rapid development of infrastructure, utility, and transportation network. Recently, people live depend on lights at night and social media and these two aspects can depicted urban spatial pattern and interaction. This research used nighttime remote sensing data with the VIIRS ( Visible Infrared Imaging Radiometer Suite ) day-night band detects lights, gas flares, auroras, and wildfires. Geo-social media information derived from twitter data gave big picture on spatial interaction from the geospatial footprint. Combined both data produced comprehensive urban spatial pattern and interaction in general for Indonesian territory. The result is shown as a preliminary study of integrating nighttime remote sensing data and geospatial footprint from twitter data.

Original language	English
Pages (from-to)	012038
Number of pages	1
Journal	IOP conference series: Earth and environmental science
Volume	47
Issue number	1
DOIs	https://doi.org/10.1088/1755-1315/47/1/012038
Publication status	Published - 2016
Externally published	Yes

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10.1088/1755-1315/47/1/012038Licence: CC BY

http://stacks.iop.org/1755-1315/47/i=1/a=012038Licence: CC BY

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title = "Urban Spatial Pattern and Interaction based on Analysis of Nighttime Remote Sensing Data and Geo-social Media Information",

abstract = "Urban development in Indonesia significantly incerasing in line with rapid development of infrastructure, utility, and transportation network. Recently, people live depend on lights at night and social media and these two aspects can depicted urban spatial pattern and interaction. This research used nighttime remote sensing data with the VIIRS ( Visible Infrared Imaging Radiometer Suite ) day-night band detects lights, gas flares, auroras, and wildfires. Geo-social media information derived from twitter data gave big picture on spatial interaction from the geospatial footprint. Combined both data produced comprehensive urban spatial pattern and interaction in general for Indonesian territory. The result is shown as a preliminary study of integrating nighttime remote sensing data and geospatial footprint from twitter data.",

author = "Nila Ratnasari and Candra, {Erika Dwi} and Saputra, {Defa Herdianta} and Perdana, {Aji Putra}",

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Urban Spatial Pattern and Interaction based on Analysis of Nighttime Remote Sensing Data and Geo-social Media Information. / Ratnasari, Nila; Candra, Erika Dwi; Saputra, Defa Herdianta; Perdana, Aji Putra.

In: IOP conference series: Earth and environmental science, Vol. 47, No. 1, 2016, p. 012038.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Urban Spatial Pattern and Interaction based on Analysis of Nighttime Remote Sensing Data and Geo-social Media Information

AU - Ratnasari, Nila

AU - Candra, Erika Dwi

AU - Saputra, Defa Herdianta

AU - Perdana, Aji Putra

PY - 2016

Y1 - 2016

N2 - Urban development in Indonesia significantly incerasing in line with rapid development of infrastructure, utility, and transportation network. Recently, people live depend on lights at night and social media and these two aspects can depicted urban spatial pattern and interaction. This research used nighttime remote sensing data with the VIIRS ( Visible Infrared Imaging Radiometer Suite ) day-night band detects lights, gas flares, auroras, and wildfires. Geo-social media information derived from twitter data gave big picture on spatial interaction from the geospatial footprint. Combined both data produced comprehensive urban spatial pattern and interaction in general for Indonesian territory. The result is shown as a preliminary study of integrating nighttime remote sensing data and geospatial footprint from twitter data.

AB - Urban development in Indonesia significantly incerasing in line with rapid development of infrastructure, utility, and transportation network. Recently, people live depend on lights at night and social media and these two aspects can depicted urban spatial pattern and interaction. This research used nighttime remote sensing data with the VIIRS ( Visible Infrared Imaging Radiometer Suite ) day-night band detects lights, gas flares, auroras, and wildfires. Geo-social media information derived from twitter data gave big picture on spatial interaction from the geospatial footprint. Combined both data produced comprehensive urban spatial pattern and interaction in general for Indonesian territory. The result is shown as a preliminary study of integrating nighttime remote sensing data and geospatial footprint from twitter data.

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DO - 10.1088/1755-1315/47/1/012038

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JF - IOP conference series: Earth and environmental science

SN - 1755-1307

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Urban Spatial Pattern and Interaction based on Analysis of Nighttime Remote Sensing Data and Geo-social Media Information

Abstract

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