Environmental monitoring of bio-restoration activities using GIS and Remote Sensing
(2009) In LUMA-GIS Thesis GISM01 20091Dept of Physical Geography and Ecosystem Science
- Abstract
- The main goal of this research was the development of GIS and Remote Sensing based methodology for environmental monitoring of bio- restoration activities of disturbed vegetation cover along oil pipeline corridor.
For the achievement of the main goal, high – resolution multispectral IKONOS and FORMOSAT satellite images acquired during vegetation peak seasons in 2007 and 2008 were processed by polynominal triangulation and orthorectification. During this process using ground control points and digital elevation model, the positional accuracy of images was increased to 1m (RMSE).
Transects along pipeline route were collected and measured in terms of spatial location and vegetation cover percentage using quadrate based field estimation.... (More) - The main goal of this research was the development of GIS and Remote Sensing based methodology for environmental monitoring of bio- restoration activities of disturbed vegetation cover along oil pipeline corridor.
For the achievement of the main goal, high – resolution multispectral IKONOS and FORMOSAT satellite images acquired during vegetation peak seasons in 2007 and 2008 were processed by polynominal triangulation and orthorectification. During this process using ground control points and digital elevation model, the positional accuracy of images was increased to 1m (RMSE).
Transects along pipeline route were collected and measured in terms of spatial location and vegetation cover percentage using quadrate based field estimation. Field estimated values for vegetation cover of transects were normalized to the acquisition date of satellite images.
Normalized Vegetation Difference Index (NDVI) was calculated from all satellite images acquired for 2007 and 2008. Normalization of areas affected by temporal factors was made for NDVI spatial grids calculated from FORMOSAT images to baseline IKONOS NDVI through a regression and further on they were mosaiced.
Correlation was done between 2007 and 2008 normalized vegetation cover for
transects and mean NDVI values extracted from 2007 and 2008 satellite images for those transects. Based on the acquired equations, spatial grids of NDVI were recalculated to vegetation cover.
Based on the prepared spatial grids of vegetation cover along pipeline route, it was applied to geo-statistical calculations to determine vegetation cover re-growth trend.
Vegetation cover maps were developed along the pipeline route and also the map of vegetation cover re-growth between 2007 and 2008 were also produced.
This allowed determining areas with negative and positive vegetation cover re-growth and based on this to evaluate overall process of bio-restoration activities between 2007 and 2008 years. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/3558941
- author
- Bayramov, Emil
- supervisor
- organization
- course
- GISM01 20091
- year
- 2009
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- GIS, remote sensing, vegetation Cover, GPS, photogrammetry, NDVI
- publication/series
- LUMA-GIS Thesis
- report number
- 3
- language
- English
- id
- 3558941
- date added to LUP
- 2013-02-27 15:02:51
- date last changed
- 2013-02-28 14:43:16
@misc{3558941,
abstract = {{The main goal of this research was the development of GIS and Remote Sensing based methodology for environmental monitoring of bio- restoration activities of disturbed vegetation cover along oil pipeline corridor.
For the achievement of the main goal, high – resolution multispectral IKONOS and FORMOSAT satellite images acquired during vegetation peak seasons in 2007 and 2008 were processed by polynominal triangulation and orthorectification. During this process using ground control points and digital elevation model, the positional accuracy of images was increased to 1m (RMSE).
Transects along pipeline route were collected and measured in terms of spatial location and vegetation cover percentage using quadrate based field estimation. Field estimated values for vegetation cover of transects were normalized to the acquisition date of satellite images.
Normalized Vegetation Difference Index (NDVI) was calculated from all satellite images acquired for 2007 and 2008. Normalization of areas affected by temporal factors was made for NDVI spatial grids calculated from FORMOSAT images to baseline IKONOS NDVI through a regression and further on they were mosaiced.
Correlation was done between 2007 and 2008 normalized vegetation cover for
transects and mean NDVI values extracted from 2007 and 2008 satellite images for those transects. Based on the acquired equations, spatial grids of NDVI were recalculated to vegetation cover.
Based on the prepared spatial grids of vegetation cover along pipeline route, it was applied to geo-statistical calculations to determine vegetation cover re-growth trend.
Vegetation cover maps were developed along the pipeline route and also the map of vegetation cover re-growth between 2007 and 2008 were also produced.
This allowed determining areas with negative and positive vegetation cover re-growth and based on this to evaluate overall process of bio-restoration activities between 2007 and 2008 years.}},
author = {{Bayramov, Emil}},
language = {{eng}},
note = {{Student Paper}},
series = {{LUMA-GIS Thesis}},
title = {{Environmental monitoring of bio-restoration activities using GIS and Remote Sensing}},
year = {{2009}},
}