Abstract
Recently threat to crop health are observed by exposure of the crop to the thermal
radiation. The power transmission line are the big structure that known gives the thermal
radiation. It became one of the factor that may influence the crop health. This study was to
analyses the paddy's health affected by the exposure. There are various type of power line.
This study used high voltage power line, 115 kV which composed of seven single cable. The
conventional method from previous research is limited to analyses the large cover area as they
performed experiment in laboratory. Therefore, remote sensing method is be able to overcome
those. It offers fast processing computer based method. Two type of satellite images used
which are Sentinel 2 and Landsat 8. Sentinel 2 were used to analyze the paddy's health by
Normalized Difference Vegetation Index (NDVI) and emission of thermal radiation is detect
using Landsat 8 by Land Surface Temperature (LST). Both are processed in Erdas software
then map and analyze in ArcGIS software. This study are for 2 years observation during
paddy's growth. Therefore, the study reveals that thermal radiation from the power line did
effect to paddy health. It is found that R-squared value of correlation are 0.2083 for 2 m
distance of paddy field with power line in year 2016 and increase with 0.3326 for year 2017.
However, the relationship are weak and it is not the main factor that contributes to paddy
healthiness. This research benefit to related party such as MADA or farmer himself,
considering that remote sensing is easy and suitable method for them to analyse paddy's
health effectively
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Ruzaini, Aida Syahindah UNSPECIFIED |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > Remote Sensing G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems Q Science > QC Physics > Radiation physics (General) |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying |
Keywords: | crop health ; radiation ; remote sensing ; ArcGIS software |
Date: | December 2018 |
URI: | https://ir.uitm.edu.my/id/eprint/22482 |
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