Land cover change in Badung Regency 2016-2020 : An approach using machine learning method: Random Forest & Extreme Gradient Boost (XGB)

Afifuddin,Siti Arfah,Dionysius Bryan Sencaki,Zilda Dona Okta Permata,Mega Novetrishka Putri,Hartanto Sanjaya

2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)（2021）

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摘要

Badung Regency is one area that mostly suffered from Covid-19 pandemic. Their gross regional domestic product has decreased 21.5% from 2019 to 2020 because of sluggishness of the tourism sector. It also affects the physical development of Badung Regency as a fast-changing area. To map the change of its land cover, satellite imagery-based classification was conducted. Both optical and radar imagery...

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关键词

Radio frequency,Training,Laser radar,Machine learning algorithms,Spaceborne radar,Urban areas,Vegetation mapping

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