Soil moisture mapping using sentinel-1A Sar data / Norliana Mokhtar

The soil moisture content (SMC) is a key hydrological cycle element, it is related to natural hazards and serves as an indicator of drought and yield in agriculture. The effectiveness of crops influenced by soil water factors for plant nutrient growth. The study aimed to estimate and map soil moistu...

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Main Author: Mokhtar, Norliana
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/42573/1/42573.pdf
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spelling my-uitm-ir.425732021-03-01T04:14:32Z Soil moisture mapping using sentinel-1A Sar data / Norliana Mokhtar 2021-02-26 Mokhtar, Norliana Aerial geography Remote Sensing Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships The soil moisture content (SMC) is a key hydrological cycle element, it is related to natural hazards and serves as an indicator of drought and yield in agriculture. The effectiveness of crops influenced by soil water factors for plant nutrient growth. The study aimed to estimate and map soil moisture content using C-band Synthetic Aperture Radar (SAR) data. To achieve the aim, the following objectives are, to do data collection and plot soil moisture, to determine the relationship between the parameter and backscatter, and to determine C-band Sentinel-1A SAR data. An agricultural area at Jalan Rani Estate near UiTM Arau, Perlis was chosen as the study area. This study will use Sentinel-1A satellite imagery to map soil moisture using remote sensing techniques. Twenty-two (22) soil sampling near Harumanis mango tree collected using handheld Global Positioning System (GPS). The effect of soil moisture and local incidence angle on the backscattering coefficient was analyzed. Indeed, the backscattering coefficient and local incidence angle were able to be used to derive the soil moisture map and showed RMSE. 2021-02 Thesis https://ir.uitm.edu.my/id/eprint/42573/ https://ir.uitm.edu.my/id/eprint/42573/1/42573.pdf text en public degree Universiti Teknologi MARA Perlis Faculty of Architecture, Planning and Surveying
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Aerial geography
Remote Sensing
Aerial geography
spellingShingle Aerial geography
Remote Sensing
Aerial geography
Mokhtar, Norliana
Soil moisture mapping using sentinel-1A Sar data / Norliana Mokhtar
description The soil moisture content (SMC) is a key hydrological cycle element, it is related to natural hazards and serves as an indicator of drought and yield in agriculture. The effectiveness of crops influenced by soil water factors for plant nutrient growth. The study aimed to estimate and map soil moisture content using C-band Synthetic Aperture Radar (SAR) data. To achieve the aim, the following objectives are, to do data collection and plot soil moisture, to determine the relationship between the parameter and backscatter, and to determine C-band Sentinel-1A SAR data. An agricultural area at Jalan Rani Estate near UiTM Arau, Perlis was chosen as the study area. This study will use Sentinel-1A satellite imagery to map soil moisture using remote sensing techniques. Twenty-two (22) soil sampling near Harumanis mango tree collected using handheld Global Positioning System (GPS). The effect of soil moisture and local incidence angle on the backscattering coefficient was analyzed. Indeed, the backscattering coefficient and local incidence angle were able to be used to derive the soil moisture map and showed RMSE.
format Thesis
qualification_level Bachelor degree
author Mokhtar, Norliana
author_facet Mokhtar, Norliana
author_sort Mokhtar, Norliana
title Soil moisture mapping using sentinel-1A Sar data / Norliana Mokhtar
title_short Soil moisture mapping using sentinel-1A Sar data / Norliana Mokhtar
title_full Soil moisture mapping using sentinel-1A Sar data / Norliana Mokhtar
title_fullStr Soil moisture mapping using sentinel-1A Sar data / Norliana Mokhtar
title_full_unstemmed Soil moisture mapping using sentinel-1A Sar data / Norliana Mokhtar
title_sort soil moisture mapping using sentinel-1a sar data / norliana mokhtar
granting_institution Universiti Teknologi MARA Perlis
granting_department Faculty of Architecture, Planning and Surveying
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/42573/1/42573.pdf
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