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 Eyjafjörđur and the Skagafjörđur. The comparative analysis of the following VIs was perfor...
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ftunivbruxelles:oai:dipot.ulb.ac.be:2013/364047 2023-11-12T04:14:03+01:00 Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland Lemenkova, Polina 2020-11-28 1 full-text file(s): application/pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/364047 https://dipot.ulb.ac.be/dspace/bitstream/2013/364047/3/25438050_ARLS_Hyperspectral_Vegetation_Indices.pdf en eng uri/info:doi/10.2478/arls-2020-0021 https://dipot.ulb.ac.be/dspace/bitstream/2013/364047/3/25438050_ARLS_Hyperspectral_Vegetation_Indices.pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/364047 1 full-text file(s): info:eu-repo/semantics/openAccess Advanced Research in Life Sciences, 4 (1 Sciences exactes et naturelles Sciences de la terre et du cosmos Cartographie Géodésie Géographie physique Géomorphologie et orographie Photogéologie [géogr.phys. géomorph. pédologie etc.] Photogéologie [hydrogéologie ingénierie géograph. et géolog.] Physique du globe Sédimentologie Systèmes d'information géographique Aménagement du territoire Sciences de l'ingénieur Disciplines auxiliaires de l'ingénieur Disciplines graphiques Géodésie appliquée topographie [télédétection] Géodésie appliquée topographie [géodésie] Méthodes mathématiques et quantitatives Méthodologie de la recherche scientifique Landsat TM QGIS NDVI Vegetation Index Cartography info:eu-repo/semantics/article info:ulb-repo/semantics/articlePeerReview info:ulb-repo/semantics/openurl/article 2020 ftunivbruxelles 2023-10-25T22:23:36Z 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 Eyjafjörđur and the Skagafjörđur. 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. info:eu-repo/semantics/published Article in Journal/Newspaper Arctic Iceland DI-fusion : dépôt institutionnel de l'Université libre de Bruxelles (ULB) Arctic Géodésie ENVELOPE(139.846,139.846,-66.675,-66.675) |
institution |
Open Polar |
collection |
DI-fusion : dépôt institutionnel de l'Université libre de Bruxelles (ULB) |
op_collection_id |
ftunivbruxelles |
language |
English |
topic |
Sciences exactes et naturelles Sciences de la terre et du cosmos Cartographie Géodésie Géographie physique Géomorphologie et orographie Photogéologie [géogr.phys. géomorph. pédologie etc.] Photogéologie [hydrogéologie ingénierie géograph. et géolog.] Physique du globe Sédimentologie Systèmes d'information géographique Aménagement du territoire Sciences de l'ingénieur Disciplines auxiliaires de l'ingénieur Disciplines graphiques Géodésie appliquée topographie [télédétection] Géodésie appliquée topographie [géodésie] Méthodes mathématiques et quantitatives Méthodologie de la recherche scientifique Landsat TM QGIS NDVI Vegetation Index Cartography |
spellingShingle |
Sciences exactes et naturelles Sciences de la terre et du cosmos Cartographie Géodésie Géographie physique Géomorphologie et orographie Photogéologie [géogr.phys. géomorph. pédologie etc.] Photogéologie [hydrogéologie ingénierie géograph. et géolog.] Physique du globe Sédimentologie Systèmes d'information géographique Aménagement du territoire Sciences de l'ingénieur Disciplines auxiliaires de l'ingénieur Disciplines graphiques Géodésie appliquée topographie [télédétection] Géodésie appliquée topographie [géodésie] Méthodes mathématiques et quantitatives Méthodologie de la recherche scientifique Landsat TM QGIS NDVI Vegetation Index Cartography Lemenkova, Polina Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland |
topic_facet |
Sciences exactes et naturelles Sciences de la terre et du cosmos Cartographie Géodésie Géographie physique Géomorphologie et orographie Photogéologie [géogr.phys. géomorph. pédologie etc.] Photogéologie [hydrogéologie ingénierie géograph. et géolog.] Physique du globe Sédimentologie Systèmes d'information géographique Aménagement du territoire Sciences de l'ingénieur Disciplines auxiliaires de l'ingénieur Disciplines graphiques Géodésie appliquée topographie [télédétection] Géodésie appliquée topographie [géodésie] Méthodes mathématiques et quantitatives Méthodologie de la recherche scientifique Landsat TM QGIS NDVI Vegetation Index Cartography |
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 Eyjafjörđur and the Skagafjörđur. 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. info:eu-repo/semantics/published |
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 |
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/364047 https://dipot.ulb.ac.be/dspace/bitstream/2013/364047/3/25438050_ARLS_Hyperspectral_Vegetation_Indices.pdf |
long_lat |
ENVELOPE(139.846,139.846,-66.675,-66.675) |
geographic |
Arctic Géodésie |
geographic_facet |
Arctic Géodésie |
genre |
Arctic Iceland |
genre_facet |
Arctic Iceland |
op_source |
Advanced Research in Life Sciences, 4 (1 |
op_relation |
uri/info:doi/10.2478/arls-2020-0021 https://dipot.ulb.ac.be/dspace/bitstream/2013/364047/3/25438050_ARLS_Hyperspectral_Vegetation_Indices.pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/364047 |
op_rights |
1 full-text file(s): info:eu-repo/semantics/openAccess |
_version_ |
1782331775461097472 |