STUDY OF LAPAN SADEWA SATELLITE DATA AS A PREDICTOR OF KATULAMPA HOURLY WATER LEVEL DATA USING MACHINE LEARNING

Satellite remote sensing data is still rarely used for high accuracy spatial-temporal water level prediction. However, this study proves that satellite data from LAPAN Sadewa (sadewa.sains.lapan.go.id) with a spatial resolution of 0.01*0.01 decimal degree (30.8????????2/pixel) is able to predict the...

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Bibliographic Details
Main Author: Raditya Valerian, Jonathan
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/58062
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Institution: Institut Teknologi Bandung
Language: Indonesia

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