Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland
The vegetation indices (VIs) derived from the hyperspectral reflectance of vegetation are presented in this study for monitoring live green vegetation in the northern ecosystems of Iceland, along the fjords of Eyjafjörður and the Skagafjörður. The comparative analysis of the following VIs was perfor...
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ftzenodo:oai:zenodo.org:4297179 2023-05-15T15:01:51+02:00 Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland Lemenkova, Polina 2020-11-28 https://zenodo.org/record/4297179 https://doi.org/10.2478/arls-2020-0021 eng eng https://zenodo.org/record/4297179 https://doi.org/10.2478/arls-2020-0021 oai:zenodo.org:4297179 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Advanced Research in Life Sciences 4(1) 70-78 cartography mapping Iceland NDVI vegetation index land cover type land cover use environment ecology data visalization education computer science modeling satellite image image analysis QGIS geography Arctic info:eu-repo/semantics/article publication-article 2020 ftzenodo https://doi.org/10.2478/arls-2020-0021 2023-03-10T20:58:59Z The vegetation indices (VIs) derived from the hyperspectral reflectance of vegetation are presented in this study for monitoring live green vegetation in the northern ecosystems of Iceland, along the fjords of Eyjafjörður and the Skagafjörður. The comparative analysis of the following VIs was performed: the NDVI, RVI, NRVI, TVI, CTVI, TTVI and SAVI. The methodology is based on the raster calculator band in a QGIS. The dataset includes a Landsat TM scene of 2013, UTM Zone 53, WGS84 captured from the GloVis. The computed bands include the NIR and R spectral bands and their combinations according to the algorithms of each of the seven VIs. The hyperspectral reflectance and crop canopy computations were applied to generate various scales of VIs and demonstrated following data range: NDVI: -0.91 to 0.65, RVI: 0.22 to 19.65, NRVI: 0.63 to 0.90, TVI: 0 to 1.12, CTVI: -0.64 to 1.07, TTVI: 0.70 to 1.18 and SAVI: -1.36 to 0.99 (roughly to 1.00). Of these, the RVI, NRVI, TVI and TTVI are adjusted to the positive values while the NDVI, CTVI and SAVI do include the negative diapason in the dataset due to the computing algorithm. The algorithms of the seven VIs are described and visualized in form of maps based on the multispectral remote sensing Landsat TM imagery identifying vegetated areas, their health condition and distribution of green areas against the bare soils, rocks, ocean water, lakes and ice-covered glaciers. The paper contributes both to the technical presentation of the QGIS functionality for the Landsat TM data processing by a raster calculator, and to the regional geographic studies of Iceland and Arctic ecosystems. Article in Journal/Newspaper Arctic Iceland Zenodo Arctic Skagafjörður ENVELOPE(-19.561,-19.561,65.875,65.875) Eyjafjörður ENVELOPE(-18.150,-18.150,65.500,65.500) Advanced Research in Life Sciences 4 1 70 78 |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
cartography mapping Iceland NDVI vegetation index land cover type land cover use environment ecology data visalization education computer science modeling satellite image image analysis QGIS geography Arctic |
spellingShingle |
cartography mapping Iceland NDVI vegetation index land cover type land cover use environment ecology data visalization education computer science modeling satellite image image analysis QGIS geography Arctic Lemenkova, Polina Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland |
topic_facet |
cartography mapping Iceland NDVI vegetation index land cover type land cover use environment ecology data visalization education computer science modeling satellite image image analysis QGIS geography Arctic |
description |
The vegetation indices (VIs) derived from the hyperspectral reflectance of vegetation are presented in this study for monitoring live green vegetation in the northern ecosystems of Iceland, along the fjords of Eyjafjörður and the Skagafjörður. The comparative analysis of the following VIs was performed: the NDVI, RVI, NRVI, TVI, CTVI, TTVI and SAVI. The methodology is based on the raster calculator band in a QGIS. The dataset includes a Landsat TM scene of 2013, UTM Zone 53, WGS84 captured from the GloVis. The computed bands include the NIR and R spectral bands and their combinations according to the algorithms of each of the seven VIs. The hyperspectral reflectance and crop canopy computations were applied to generate various scales of VIs and demonstrated following data range: NDVI: -0.91 to 0.65, RVI: 0.22 to 19.65, NRVI: 0.63 to 0.90, TVI: 0 to 1.12, CTVI: -0.64 to 1.07, TTVI: 0.70 to 1.18 and SAVI: -1.36 to 0.99 (roughly to 1.00). Of these, the RVI, NRVI, TVI and TTVI are adjusted to the positive values while the NDVI, CTVI and SAVI do include the negative diapason in the dataset due to the computing algorithm. The algorithms of the seven VIs are described and visualized in form of maps based on the multispectral remote sensing Landsat TM imagery identifying vegetated areas, their health condition and distribution of green areas against the bare soils, rocks, ocean water, lakes and ice-covered glaciers. The paper contributes both to the technical presentation of the QGIS functionality for the Landsat TM data processing by a raster calculator, and to the regional geographic studies of Iceland and Arctic ecosystems. |
format |
Article in Journal/Newspaper |
author |
Lemenkova, Polina |
author_facet |
Lemenkova, Polina |
author_sort |
Lemenkova, Polina |
title |
Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland |
title_short |
Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland |
title_full |
Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland |
title_fullStr |
Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland |
title_full_unstemmed |
Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland |
title_sort |
hyperspectral vegetation indices calculated by qgis using landsat tm image: a case study of northern iceland |
publishDate |
2020 |
url |
https://zenodo.org/record/4297179 https://doi.org/10.2478/arls-2020-0021 |
long_lat |
ENVELOPE(-19.561,-19.561,65.875,65.875) ENVELOPE(-18.150,-18.150,65.500,65.500) |
geographic |
Arctic Skagafjörður Eyjafjörður |
geographic_facet |
Arctic Skagafjörður Eyjafjörður |
genre |
Arctic Iceland |
genre_facet |
Arctic Iceland |
op_source |
Advanced Research in Life Sciences 4(1) 70-78 |
op_relation |
https://zenodo.org/record/4297179 https://doi.org/10.2478/arls-2020-0021 oai:zenodo.org:4297179 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.2478/arls-2020-0021 |
container_title |
Advanced Research in Life Sciences |
container_volume |
4 |
container_issue |
1 |
container_start_page |
70 |
op_container_end_page |
78 |
_version_ |
1766333854190141440 |