Abstract
| 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 | |
| Publication status | Published - 2016 |
| Externally published | Yes |
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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.
UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2016/ref/perdana_urb.pdf
U2 - 10.1088/1755-1315/47/1/012038
DO - 10.1088/1755-1315/47/1/012038
M3 - Article
VL - 47
SP - 012038
JO - IOP conference series: Earth and environmental science
JF - IOP conference series: Earth and environmental science
SN - 1755-1307
IS - 1
ER -