Identification of Socio-economic Activities as Urban Growth based on Nighttime Light Data (Study on Kendal District

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Identification of Socio-economic Activities as Urban Growth based on Nighttime Light Data (Study on Kendal District - Indonesia)

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)
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Author:

Habibie Muhammad Iqbal¹^ORCID,Purwono Nugroho¹^ORCID

Affiliation:

1. Research Center for Geospatial,National Research and Innovation Agency (BRIN),Cibinong,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10093229/10093243/10093456.pdf?arnumber=10093456

Reference9 articles.

1. PEMILIHAN VARIABEL PADA MODEL GEOGRAPHICALLY WEIGHTED REGRESSION

2. FORECASTING URBAN EXPANSION BASED ON NIGHT LIGHTS

3. Geographically Weighted Regression (GWR) Modelling with Weighted Fixed Gaussian Kernel and Queen Contiguity for Dengue Fever Case Data

4. Mapping and Monitoring Urban Areas Using Sentinel 1 and Sentinel 2

5. Remote sensing of human beings – a perspective from nighttime light

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