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...
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Online Access: | https://hdl.handle.net/11585/967902 https://doi.org/10.2478/contagri-2021-0011 https://doi.org/10.5281/zenodo.4835822 http://ssrn.com/abstract=3855345 https://www.lifescience.net/publications/19043/saga-gis-for-computing-multispectral-vegetation-in/ https://sciendo.com/article/10.2478/contagri-2021-0011 https://hal.archives-ouvertes.fr/hal-03240608 |
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ftunibolognairis:oai:cris.unibo.it:11585/967902 2024-05-19T07:36:54+00:00 SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness Lemenkova, Polina Lemenkova, Polina 2021 ELETTRONICO https://hdl.handle.net/11585/967902 https://doi.org/10.2478/contagri-2021-0011 https://doi.org/10.5281/zenodo.4835822 http://ssrn.com/abstract=3855345 https://www.lifescience.net/publications/19043/saga-gis-for-computing-multispectral-vegetation-in/ https://sciendo.com/article/10.2478/contagri-2021-0011 https://hal.archives-ouvertes.fr/hal-03240608 eng eng volume:70 issue:1-2 firstpage:67 lastpage:75 numberofpages:9 journal:CONTEMPORARY AGRICULTURE https://hdl.handle.net/11585/967902 doi:10.2478/contagri-2021-0011 https://doi.org/10.5281/zenodo.4835822 http://ssrn.com/abstract=3855345 https://www.lifescience.net/publications/19043/saga-gis-for-computing-multispectral-vegetation-in/ https://sciendo.com/article/10.2478/contagri-2021-0011 https://hal.archives-ouvertes.fr/hal-03240608 Iceland vegetation indices NDVI SAGA GIS cartography mapping info:eu-repo/semantics/article 2021 ftunibolognairis https://doi.org/10.2478/contagri-2021-001110.5281/zenodo.4835822 2024-04-26T00:17:50Z 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 IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
institution |
Open Polar |
collection |
IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
op_collection_id |
ftunibolognairis |
language |
English |
topic |
Iceland vegetation indices NDVI SAGA GIS cartography mapping |
spellingShingle |
Iceland vegetation indices NDVI SAGA GIS cartography mapping 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 |
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 ... |
author2 |
Lemenkova, Polina |
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 |
publishDate |
2021 |
url |
https://hdl.handle.net/11585/967902 https://doi.org/10.2478/contagri-2021-0011 https://doi.org/10.5281/zenodo.4835822 http://ssrn.com/abstract=3855345 https://www.lifescience.net/publications/19043/saga-gis-for-computing-multispectral-vegetation-in/ https://sciendo.com/article/10.2478/contagri-2021-0011 https://hal.archives-ouvertes.fr/hal-03240608 |
genre |
Arctic Climate change Iceland ice covered areas |
genre_facet |
Arctic Climate change Iceland ice covered areas |
op_relation |
volume:70 issue:1-2 firstpage:67 lastpage:75 numberofpages:9 journal:CONTEMPORARY AGRICULTURE https://hdl.handle.net/11585/967902 doi:10.2478/contagri-2021-0011 https://doi.org/10.5281/zenodo.4835822 http://ssrn.com/abstract=3855345 https://www.lifescience.net/publications/19043/saga-gis-for-computing-multispectral-vegetation-in/ https://sciendo.com/article/10.2478/contagri-2021-0011 https://hal.archives-ouvertes.fr/hal-03240608 |
op_doi |
https://doi.org/10.2478/contagri-2021-001110.5281/zenodo.4835822 |
_version_ |
1799476042696491008 |