The potential of satellite imagery in soil compaction studies for implementation of precision farming

The objective of this study is to evaluate the potential of satellite imagery and GIS (Geographic Information System) in soil compaction studies by investigating the spectral reflectance in producing soil compaction maps for implementation of precision farming. It analyzes the significant correlati...

Full description

Saved in:

Bibliographic Details
Main Author:	Norasmanizan, Abdullah
Format:	Thesis
Language:	English
Subjects:	Precision agriculture Remote sensing Soil compaction Regression Satellite imagery Geographic Information System (GIS)
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31919/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31919/2/Full%20text.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-unimap-31919
record_format	uketd_dc
spelling	my-unimap-319192014-02-13T14:24:17Z The potential of satellite imagery in soil compaction studies for implementation of precision farming Norasmanizan, Abdullah The objective of this study is to evaluate the potential of satellite imagery and GIS (Geographic Information System) in soil compaction studies by investigating the spectral reflectance in producing soil compaction maps for implementation of precision farming. It analyzes the significant correlation between soil penetration resistance data and reflectance data of the Landsat 5 TM image. This study identifies the possible areas of soil compaction by analyzing the spectral indexes of moisture content (NDMI), vegetation indexes (SAVI,MSAVI) and soil index (BSI). The relationship between variables is investigated using coefficient of determination (R²). The results of gravimeter measurement showed had a significant relationship of water content level in soil compaction. Thus, NDMI reflectance data were studied and it was found that it had significant correlation (R²=0.755) with soil penetration data. Linear regression of SWIR channel indicated highest significant correlation (R²=0.84) with (p<0.05) compared to several channels visible band of Band 1, (R²=0.209) Band 2, (R²=0.142), Band 3, (R²=0.382) and Band 7, (R²=0.305). The expression of linear regression was used in predicting the compact area using Band Math function and the compaction status map was created using geostatistical method. The mathematical models of spectral indexes also indicated a correlation with the significant correlation of SAVI is (R²=0.724), MSAVI (R²=0.725) and BSI (R²=0.422). The combined information of the soil compaction map and space technology is valuable for farmers and growers in land treatment, tillage activities and consequently in the implementation of site specific agricultural management. Universiti Malaysia Perlis (UniMAP) 2013 Thesis en http://dspace.unimap.edu.my:80/dspace/handle/123456789/31919 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31919/1/Page%201-24.pdf d2b68f936d329c038dd21e48f3b856ff http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31919/2/Full%20text.pdf 42954f68ee7022d32acd44553da462d6 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31919/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Precision agriculture Remote sensing Soil compaction Regression Satellite imagery Geographic Information System (GIS) School of Environmental Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
topic	Precision agriculture Remote sensing Soil compaction Regression Satellite imagery Geographic Information System (GIS)
spellingShingle	Precision agriculture Remote sensing Soil compaction Regression Satellite imagery Geographic Information System (GIS) Norasmanizan, Abdullah The potential of satellite imagery in soil compaction studies for implementation of precision farming
description	The objective of this study is to evaluate the potential of satellite imagery and GIS (Geographic Information System) in soil compaction studies by investigating the spectral reflectance in producing soil compaction maps for implementation of precision farming. It analyzes the significant correlation between soil penetration resistance data and reflectance data of the Landsat 5 TM image. This study identifies the possible areas of soil compaction by analyzing the spectral indexes of moisture content (NDMI), vegetation indexes (SAVI,MSAVI) and soil index (BSI). The relationship between variables is investigated using coefficient of determination (R²). The results of gravimeter measurement showed had a significant relationship of water content level in soil compaction. Thus, NDMI reflectance data were studied and it was found that it had significant correlation (R²=0.755) with soil penetration data. Linear regression of SWIR channel indicated highest significant correlation (R²=0.84) with (p<0.05) compared to several channels visible band of Band 1, (R²=0.209) Band 2, (R²=0.142), Band 3, (R²=0.382) and Band 7, (R²=0.305). The expression of linear regression was used in predicting the compact area using Band Math function and the compaction status map was created using geostatistical method. The mathematical models of spectral indexes also indicated a correlation with the significant correlation of SAVI is (R²=0.724), MSAVI (R²=0.725) and BSI (R²=0.422). The combined information of the soil compaction map and space technology is valuable for farmers and growers in land treatment, tillage activities and consequently in the implementation of site specific agricultural management.
format	Thesis
author	Norasmanizan, Abdullah
author_facet	Norasmanizan, Abdullah
author_sort	Norasmanizan, Abdullah
title	The potential of satellite imagery in soil compaction studies for implementation of precision farming
title_short	The potential of satellite imagery in soil compaction studies for implementation of precision farming
title_full	The potential of satellite imagery in soil compaction studies for implementation of precision farming
title_fullStr	The potential of satellite imagery in soil compaction studies for implementation of precision farming
title_full_unstemmed	The potential of satellite imagery in soil compaction studies for implementation of precision farming
title_sort	potential of satellite imagery in soil compaction studies for implementation of precision farming
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Environmental Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31919/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31919/2/Full%20text.pdf
_version_	1747836795376107520

The potential of satellite imagery in soil compaction studies for implementation of precision farming

Similar Items