Land Cover Change Detection around Upstream of Serayu Watershed using Machine Learning-Reference-Cited by-同舟云学术

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Land Cover Change Detection around Upstream of Serayu Watershed using Machine Learning

Published:2022-12-22 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE)
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Author:

Permata Zilda D. O.¹,Sencaki Dionysius Bryan¹,Afifuddin ¹,Frederik Marina C. G²,Priyadi Hari¹,Putri Mega N.³,Arfah Siti¹,Agustan ¹,Alhasanah Fauziah⁴,Sumargana Lena¹,Arifandri Robby¹,Anatoly Nico⁵

Affiliation:

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

2. National Research and Innovation Agency (BRIN),Research Center for Geological Disaster (PRKG),Jakarta,Indonesia

3. National Research and Innovation Agency (BRIN),Dit. Environment, Maritime, Natural Resources. and Nuclear Dev. Policy,Jakarta,Indonesia

4. National Research and Innovation Agency (BRIN),Dit. Research & Innovation Infrastructure & Partnerships,Jakarta,Indonesia

5. National Research and Innovation Agency (BRIN),Research Center for Limnology and Water Resources,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10180901/10180410/10180994.pdf?arnumber=10180994

Reference18 articles.

1. Derivation of Tasseled Cap Transformation Coefficients for Sentinel-2 MSI At-Sensor Reflectance Data

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

3. XGBoost

4. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery

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