Evaluation of satellite precipitation products [chirps data] in Peninsular Malaysia using Google Earth Engine (GEE) / Nurul Najwatul Ong Bo Jit @ Husain

The lack of data in areas with few rain gauges to conduct any hydrological study may be overcome through satellite-based precipitation products and reanalysis precipitation products. The global coverage products in the Google Earth Engine (GEE) data analysis platform's repository provide geospa...

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Main Author:	Ong Bo Jit @ Husain, Nurul Najwatul
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Aerial geography
Online Access:	https://ir.uitm.edu.my/id/eprint/69209/1/69209.pdf
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id	my-uitm-ir.69209
record_format	uketd_dc
spelling	my-uitm-ir.692092022-11-14T06:51:31Z Evaluation of satellite precipitation products [chirps data] in Peninsular Malaysia using Google Earth Engine (GEE) / Nurul Najwatul Ong Bo Jit @ Husain 2022 Ong Bo Jit @ Husain, Nurul Najwatul Aerial geography Hydrology. Water The lack of data in areas with few rain gauges to conduct any hydrological study may be overcome through satellite-based precipitation products and reanalysis precipitation products. The global coverage products in the Google Earth Engine (GEE) data analysis platform's repository provide geospatial information that can measure the amount of precipitation. Nevertheless, it is important to evaluate the reliability of the products. Thus, the aim of this study is to evaluate the reliability of satellite and reanalysis precipitation products (CHIRPS Dataset) stored in the GEE repository compared to rain gauge observation from 2011 to 2021 using data from four (4) stations (Cameron Highlands, Bayan Lepas, Subang and Gong Kedak) in Peninsular Malaysia.. The objectives of this study are; i) to determine the trend of the CHIRPS dataset and rain gauge observation from 2011 to 2021 at four (4) selected stations, ii) to determine the correlation of the CHIRPS dataset and rain gauge observation in the years 2011, 2016 and 2021 by monthly and monsoon at four (4) selected stations, iii) to map the precipitation CHIRPS dataset in 2011, 2016 and 2021 in Peninsular Malaysia. A statistical method to measure the strength of the linear relationship between two variables and compute their association called correlation analysis was performed in this study. The results show station Gong Kedak consistent with the highest correlation between rain gauge observations and CHIRPS dataset in 2011 and 2016. In 2021, the highest correlation is station Bayan Lepas. Meanwhile, station Cameron Highlands consistent with the lowest correlation in 2011, 2016 and 2021. All the stations in Inter Monsoon 2 consistent with the higher correlation in 2011, 2016 and 2021. Meanwhile, Southeast Monsoon consistent with the lowest correlation in 2011, 2016 and 2021. In Southeast Monsoon, station Gong Kedak consistent with the lowest correlation in 2011 and 2016. But, in 2021 the with the lowest correlation is Bayan Lepas. In conclusion, CHIRPS data is an alternative that can be used to estimate rainfall distribution in Malaysia. 2022 Thesis https://ir.uitm.edu.my/id/eprint/69209/ https://ir.uitm.edu.my/id/eprint/69209/1/69209.pdf text en public degree Universiti Teknologi MARA. Perlis Faculty of Architecture, Planning and Surveying Anshah, Siti Aminah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Anshah, Siti Aminah
topic	Aerial geography Aerial geography
spellingShingle	Aerial geography Aerial geography Ong Bo Jit @ Husain, Nurul Najwatul Evaluation of satellite precipitation products [chirps data] in Peninsular Malaysia using Google Earth Engine (GEE) / Nurul Najwatul Ong Bo Jit @ Husain
description	The lack of data in areas with few rain gauges to conduct any hydrological study may be overcome through satellite-based precipitation products and reanalysis precipitation products. The global coverage products in the Google Earth Engine (GEE) data analysis platform's repository provide geospatial information that can measure the amount of precipitation. Nevertheless, it is important to evaluate the reliability of the products. Thus, the aim of this study is to evaluate the reliability of satellite and reanalysis precipitation products (CHIRPS Dataset) stored in the GEE repository compared to rain gauge observation from 2011 to 2021 using data from four (4) stations (Cameron Highlands, Bayan Lepas, Subang and Gong Kedak) in Peninsular Malaysia.. The objectives of this study are; i) to determine the trend of the CHIRPS dataset and rain gauge observation from 2011 to 2021 at four (4) selected stations, ii) to determine the correlation of the CHIRPS dataset and rain gauge observation in the years 2011, 2016 and 2021 by monthly and monsoon at four (4) selected stations, iii) to map the precipitation CHIRPS dataset in 2011, 2016 and 2021 in Peninsular Malaysia. A statistical method to measure the strength of the linear relationship between two variables and compute their association called correlation analysis was performed in this study. The results show station Gong Kedak consistent with the highest correlation between rain gauge observations and CHIRPS dataset in 2011 and 2016. In 2021, the highest correlation is station Bayan Lepas. Meanwhile, station Cameron Highlands consistent with the lowest correlation in 2011, 2016 and 2021. All the stations in Inter Monsoon 2 consistent with the higher correlation in 2011, 2016 and 2021. Meanwhile, Southeast Monsoon consistent with the lowest correlation in 2011, 2016 and 2021. In Southeast Monsoon, station Gong Kedak consistent with the lowest correlation in 2011 and 2016. But, in 2021 the with the lowest correlation is Bayan Lepas. In conclusion, CHIRPS data is an alternative that can be used to estimate rainfall distribution in Malaysia.
format	Thesis
qualification_level	Bachelor degree
author	Ong Bo Jit @ Husain, Nurul Najwatul
author_facet	Ong Bo Jit @ Husain, Nurul Najwatul
author_sort	Ong Bo Jit @ Husain, Nurul Najwatul
title	Evaluation of satellite precipitation products [chirps data] in Peninsular Malaysia using Google Earth Engine (GEE) / Nurul Najwatul Ong Bo Jit @ Husain
title_short	Evaluation of satellite precipitation products [chirps data] in Peninsular Malaysia using Google Earth Engine (GEE) / Nurul Najwatul Ong Bo Jit @ Husain
title_full	Evaluation of satellite precipitation products [chirps data] in Peninsular Malaysia using Google Earth Engine (GEE) / Nurul Najwatul Ong Bo Jit @ Husain
title_fullStr	Evaluation of satellite precipitation products [chirps data] in Peninsular Malaysia using Google Earth Engine (GEE) / Nurul Najwatul Ong Bo Jit @ Husain
title_full_unstemmed	Evaluation of satellite precipitation products [chirps data] in Peninsular Malaysia using Google Earth Engine (GEE) / Nurul Najwatul Ong Bo Jit @ Husain
title_sort	evaluation of satellite precipitation products [chirps data] in peninsular malaysia using google earth engine (gee) / nurul najwatul ong bo jit @ husain
granting_institution	Universiti Teknologi MARA. Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/69209/1/69209.pdf
_version_	1783735855483977728

Evaluation of satellite precipitation products [chirps data] in Peninsular Malaysia using Google Earth Engine (GEE) / Nurul Najwatul Ong Bo Jit @ Husain

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