SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness

Summary The study presents a comparative analysis of eight Vegetation Indices (VIs) used to examine vegetation greenness over the northern coasts of Iceland. The geographical extent of the study area is set by the coordinates of the two fjords, Eyjafjörður and Skagafjörður, notable for their agricul...

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Published in:Contemporary Agriculture
Main Author: Lemenkova, Polina
Format: Article in Journal/Newspaper
Language:English
Published: Walter de Gruyter GmbH 2021
Subjects:
Online Access:http://dx.doi.org/10.2478/contagri-2021-0011
https://www.sciendo.com/pdf/10.2478/contagri-2021-0011
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spelling crdegruyter:10.2478/contagri-2021-0011 2024-05-19T07:36:53+00:00 SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness Lemenkova, Polina 2021 http://dx.doi.org/10.2478/contagri-2021-0011 https://www.sciendo.com/pdf/10.2478/contagri-2021-0011 en eng Walter de Gruyter GmbH http://creativecommons.org/licenses/by-nc-nd/3.0 Contemporary Agriculture volume 70, issue 1-2, page 67-75 ISSN 2466-4774 journal-article 2021 crdegruyter https://doi.org/10.2478/contagri-2021-0011 2024-05-02T06:51:59Z Summary The study presents a comparative analysis of eight Vegetation Indices (VIs) used to examine vegetation greenness over the northern coasts of Iceland. The geographical extent of the study area is set by the coordinates of the two fjords, Eyjafjörður and Skagafjörður, notable for their agricultural significance. Vegetation in Iceland is fragile due to the harsh climate, climate change, overgrazing and volcanic activity, which increase soil erosion. The study was conducted on a Landsat TM image using SAGA GIS as a technical tool for raster bands calculations. The NDVI dataset shows a range from -0.56 to 0.24, with 0 indicating ‘no vegetation’, and negative values – ‘other surfaces’ (e.g. rocks, open terrain). The DVI, compared to the NDVI, shows statistically non-normalized values ranging from -112 to 0, with extreme negative values while the coastal vegetation areas are badly distinguished from the water areas. The NRVI shows an extent from -0.24 to 0.48 with higher values for vegetation. The NRVI reduces topographic, solar and atmospheric effects and creates a normal data distribution. RVI shows a range in a dataset from 0.2 to 3.2 with vegetation in the river valleys clearly visible and depicted, while the water areas have values 0.8 to 1.0. The CTVI shows corrected TVI, in a data range -0.10 to 1.10, as the dataset of NDVI were negative. The TVI dataset ranges from 0.44 to 0.80 with the ice-covered areas and glaciers distinguishable and water values within a range from 0.60 to 0.64 and the vegetation from 0.60 to 0.44. The TTVI dataset ranges from 0.40 to 0.80 performing similarly to the TVI, but more refined with vegetation values 0.64 to 0.68. SAVI dataset ranges from -0.80 to 0.30 with minimized effects of soil on the vegetation through a constant soil adjustment factor added into the NDVI formula. The paper presents a comparison of eight VIs for Arctic vegetation monitoring. The overall behavior of SAGA GIS in calculation and mapping of the VIs is effective in terms of their use for vegetation ... Article in Journal/Newspaper Arctic Climate change Iceland ice covered areas De Gruyter Contemporary Agriculture 70 1-2 67 75
institution Open Polar
collection De Gruyter
op_collection_id crdegruyter
language English
description Summary The study presents a comparative analysis of eight Vegetation Indices (VIs) used to examine vegetation greenness over the northern coasts of Iceland. The geographical extent of the study area is set by the coordinates of the two fjords, Eyjafjörður and Skagafjörður, notable for their agricultural significance. Vegetation in Iceland is fragile due to the harsh climate, climate change, overgrazing and volcanic activity, which increase soil erosion. The study was conducted on a Landsat TM image using SAGA GIS as a technical tool for raster bands calculations. The NDVI dataset shows a range from -0.56 to 0.24, with 0 indicating ‘no vegetation’, and negative values – ‘other surfaces’ (e.g. rocks, open terrain). The DVI, compared to the NDVI, shows statistically non-normalized values ranging from -112 to 0, with extreme negative values while the coastal vegetation areas are badly distinguished from the water areas. The NRVI shows an extent from -0.24 to 0.48 with higher values for vegetation. The NRVI reduces topographic, solar and atmospheric effects and creates a normal data distribution. RVI shows a range in a dataset from 0.2 to 3.2 with vegetation in the river valleys clearly visible and depicted, while the water areas have values 0.8 to 1.0. The CTVI shows corrected TVI, in a data range -0.10 to 1.10, as the dataset of NDVI were negative. The TVI dataset ranges from 0.44 to 0.80 with the ice-covered areas and glaciers distinguishable and water values within a range from 0.60 to 0.64 and the vegetation from 0.60 to 0.44. The TTVI dataset ranges from 0.40 to 0.80 performing similarly to the TVI, but more refined with vegetation values 0.64 to 0.68. SAVI dataset ranges from -0.80 to 0.30 with minimized effects of soil on the vegetation through a constant soil adjustment factor added into the NDVI formula. The paper presents a comparison of eight VIs for Arctic vegetation monitoring. The overall behavior of SAGA GIS in calculation and mapping of the VIs is effective in terms of their use for vegetation ...
format Article in Journal/Newspaper
author Lemenkova, Polina
spellingShingle Lemenkova, Polina
SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness
author_facet Lemenkova, Polina
author_sort Lemenkova, Polina
title SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness
title_short SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness
title_full SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness
title_fullStr SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness
title_full_unstemmed SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness
title_sort saga gis for computing multispectral vegetation indices by landsat tm for mapping vegetation greenness
publisher Walter de Gruyter GmbH
publishDate 2021
url http://dx.doi.org/10.2478/contagri-2021-0011
https://www.sciendo.com/pdf/10.2478/contagri-2021-0011
genre Arctic
Climate change
Iceland
ice covered areas
genre_facet Arctic
Climate change
Iceland
ice covered areas
op_source Contemporary Agriculture
volume 70, issue 1-2, page 67-75
ISSN 2466-4774
op_rights http://creativecommons.org/licenses/by-nc-nd/3.0
op_doi https://doi.org/10.2478/contagri-2021-0011
container_title Contemporary Agriculture
container_volume 70
container_issue 1-2
container_start_page 67
op_container_end_page 75
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