Drought trends analysis for the past 10 years in Perlis using / GIS and / remote sensing application / Nur Shazwani Abu Hashim

Abu Hashim, Nur Shazwani (2018) Drought trends analysis for the past 10 years in Perlis using / GIS and / remote sensing application / Nur Shazwani Abu Hashim. Degree thesis, Universiti Teknologi Mara, Perlis.


Drought phenomenon has often occurred in Malaysia especially in Perlis. Perlis has been facing a rising temperature early every year that can affect the land use and vegetation. Based on data collected from 13 rainfall stations in Perlis, a data processing was carried out in order to find the trend pattern of rainfall from 2007-2016 and to analyse the impact of drought on vegetation change by calculating the value of Standardized Precipitation Index (SPI) and Normalized Differences Vegetation Index (NDVI). In this study, the Geographic Information System (GIS) and remote sensing played a key role in studying the different types of processing in field of meteorological drought and its impact in vegetation health. SPI value was interpolated to get the spatial pattern of meteorological drought. Through interpolation method, Inverse Distance Weighted (IDW) method was used to verify the trends value for meteorological drought occurrences in Perlis. In order to show the trend pattern of meteorological drought based on SPI value, 30 years of rainfall data was collected and processed using DrinC software. ERDAS Imagine software was also used to process the satellite image of Landsat 5 TM, Landsat 7 ETM and Landsat 8 OLI-TIRS which was obtained from the U.S. Geological Survey (USGS) to get the NDVI value in Perlis. NDVI value detected the intensity and vegetation health area that has been damaged by meteorological drought based on the SPI value. The final results show the map of Perlis with the trend pattern of drought for the past 10 years and the impact of drought on the vegetation health.


Item Type: Thesis (Degree)
Email / ID Num.
Abu Hashim, Nur Shazwani
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems
Q Science > QC Physics > Heat > Temperature measurements
Q Science > QC Physics > Meteorology. Climatology. Including the earth's atmosphere
T Technology > TD Environmental technology. Sanitary engineering > Remote sensing
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying
Keywords: Normalized Differences Vegetation Index (NDVI) ; Geographic Information System (GIS) ; Standardized Precipitation Index (SPI) ; Inverse Distance Weighted (IDW) ; Remote Sensing
Date: July 2018
URI: https://ir.uitm.edu.my/id/eprint/20941
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