SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness
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 si...
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Sciendo
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Online Access: | https://doi.org/10.2478/contagri-2021-0011 https://doaj.org/article/a3cb1157740f487d8b454929b1b7e3e5 |
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ftdoajarticles:oai:doaj.org/article:a3cb1157740f487d8b454929b1b7e3e5 2023-05-15T15:17:33+02:00 SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness Lemenkova Polina 2021-06-01T00:00:00Z https://doi.org/10.2478/contagri-2021-0011 https://doaj.org/article/a3cb1157740f487d8b454929b1b7e3e5 EN eng Sciendo https://doi.org/10.2478/contagri-2021-0011 https://doaj.org/toc/2466-4774 2466-4774 doi:10.2478/contagri-2021-0011 https://doaj.org/article/a3cb1157740f487d8b454929b1b7e3e5 Contemporary Agriculture, Vol 70, Iss 1-2, Pp 67-75 (2021) iceland vegetation indices ndvi saga gis cartography mapping Agriculture S article 2021 ftdoajarticles https://doi.org/10.2478/contagri-2021-0011 2022-12-31T05:52:06Z 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 mapping of ... Article in Journal/Newspaper Arctic Climate change Iceland ice covered areas Directory of Open Access Journals: DOAJ Articles Arctic Eyjafjörður ENVELOPE(-18.150,-18.150,65.500,65.500) Skagafjörður ENVELOPE(-19.561,-19.561,65.875,65.875) Contemporary Agriculture 70 1-2 67 75 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
iceland vegetation indices ndvi saga gis cartography mapping Agriculture S |
spellingShingle |
iceland vegetation indices ndvi saga gis cartography mapping Agriculture S Lemenkova Polina SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness |
topic_facet |
iceland vegetation indices ndvi saga gis cartography mapping Agriculture S |
description |
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 mapping of ... |
format |
Article in Journal/Newspaper |
author |
Lemenkova Polina |
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 |
Sciendo |
publishDate |
2021 |
url |
https://doi.org/10.2478/contagri-2021-0011 https://doaj.org/article/a3cb1157740f487d8b454929b1b7e3e5 |
long_lat |
ENVELOPE(-18.150,-18.150,65.500,65.500) ENVELOPE(-19.561,-19.561,65.875,65.875) |
geographic |
Arctic Eyjafjörður Skagafjörður |
geographic_facet |
Arctic Eyjafjörður Skagafjörður |
genre |
Arctic Climate change Iceland ice covered areas |
genre_facet |
Arctic Climate change Iceland ice covered areas |
op_source |
Contemporary Agriculture, Vol 70, Iss 1-2, Pp 67-75 (2021) |
op_relation |
https://doi.org/10.2478/contagri-2021-0011 https://doaj.org/toc/2466-4774 2466-4774 doi:10.2478/contagri-2021-0011 https://doaj.org/article/a3cb1157740f487d8b454929b1b7e3e5 |
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 |
_version_ |
1766347796336607232 |