Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data
The aim of this study was to test the utility of Landsat 5/TM data to detect and map reindeer ranges (winter ranges). The area which has been investigated is the Ávzze area in Kautokeino, Northern Norway, on the means of Landsat 5 TM-data. A «hybrid» non-supervised/supervised classification routine...
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Septentrio Academic Publishing
1987
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ftdoajarticles:oai:doaj.org/article:a9dc52d2a7b34e8683488f2eee0c74b0 2023-05-15T17:01:46+02:00 Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data H. Tømmervik I. Lauknes 1987-06-01T00:00:00Z https://doi.org/10.7557/2.7.2.711 https://doaj.org/article/a9dc52d2a7b34e8683488f2eee0c74b0 EN eng Septentrio Academic Publishing https://septentrio.uit.no/index.php/rangifer/article/view/711 https://doaj.org/toc/1890-6729 doi:10.7557/2.7.2.711 1890-6729 https://doaj.org/article/a9dc52d2a7b34e8683488f2eee0c74b0 Rangifer, Vol 7, Iss 2 (1987) range mapping reindeer paastures reindeer remote sensing «hybrid» classification algorithm vegetation Animal culture SF1-1100 article 1987 ftdoajarticles https://doi.org/10.7557/2.7.2.711 2022-12-31T08:46:45Z The aim of this study was to test the utility of Landsat 5/TM data to detect and map reindeer ranges (winter ranges). The area which has been investigated is the Ávzze area in Kautokeino, Northern Norway, on the means of Landsat 5 TM-data. A «hybrid» non-supervised/supervised classification routine was elaborated and applied in this project. The initial stage was an analysis of several bandcombinations, and the 5/4/3 combination gave the preferable combination as input to the cluster algorithm (unsupervised classification). The image was divided in 4 sections of size 512 samples and 512 lines. One of this sections (the section which cover the ground truth map) was selected for the non-supervised classification. In the beginning 17 classes were merged, and a median filter was applied for the resultant image, which comprises 12 classes. The statistics from the final result from the non-supervised classification were then used together with the TM bandcombination 5/4/3 for the whole image, as input to the minimum distance classification algorithm. This algorithm was applied to every section in turn. A mosaic of the 4 sections was then made and a median filter was then registred to a digitalized map (UTM-pro-jection). The final result was a colored thematic map over the whole area. The classification of the scene was successful with an overall classification of 90-1 (X)% for lichen-heaths (9dx/9c/9a/9av Dry shrub, fresh shrub) and birch-forests (6d/6dv/6dx shrubtype with lichen). The condition of the lichen-heaths could be detected on a sufficient level on the basis of the satellite data, but further analysis will be done here. The accuracy of the digital classification was assessed on a quantitative basis. Visual classification and interpretation of the satellite imagery showed that areas of conflict (roads, agriculture) could be detected. In chapter 6. «Resultater og diskusjon» some other results from other studies/investigations carried out in Scandinavia concerning remote sensing in mapping of vegetation are ... Article in Journal/Newspaper Kautokeino Northern Norway Rangifer Directory of Open Access Journals: DOAJ Articles Norway Kautokeino ENVELOPE(23.048,23.048,69.003,69.003) Rangifer 7 2 2 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
range mapping reindeer paastures reindeer remote sensing «hybrid» classification algorithm vegetation Animal culture SF1-1100 |
spellingShingle |
range mapping reindeer paastures reindeer remote sensing «hybrid» classification algorithm vegetation Animal culture SF1-1100 H. Tømmervik I. Lauknes Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data |
topic_facet |
range mapping reindeer paastures reindeer remote sensing «hybrid» classification algorithm vegetation Animal culture SF1-1100 |
description |
The aim of this study was to test the utility of Landsat 5/TM data to detect and map reindeer ranges (winter ranges). The area which has been investigated is the Ávzze area in Kautokeino, Northern Norway, on the means of Landsat 5 TM-data. A «hybrid» non-supervised/supervised classification routine was elaborated and applied in this project. The initial stage was an analysis of several bandcombinations, and the 5/4/3 combination gave the preferable combination as input to the cluster algorithm (unsupervised classification). The image was divided in 4 sections of size 512 samples and 512 lines. One of this sections (the section which cover the ground truth map) was selected for the non-supervised classification. In the beginning 17 classes were merged, and a median filter was applied for the resultant image, which comprises 12 classes. The statistics from the final result from the non-supervised classification were then used together with the TM bandcombination 5/4/3 for the whole image, as input to the minimum distance classification algorithm. This algorithm was applied to every section in turn. A mosaic of the 4 sections was then made and a median filter was then registred to a digitalized map (UTM-pro-jection). The final result was a colored thematic map over the whole area. The classification of the scene was successful with an overall classification of 90-1 (X)% for lichen-heaths (9dx/9c/9a/9av Dry shrub, fresh shrub) and birch-forests (6d/6dv/6dx shrubtype with lichen). The condition of the lichen-heaths could be detected on a sufficient level on the basis of the satellite data, but further analysis will be done here. The accuracy of the digital classification was assessed on a quantitative basis. Visual classification and interpretation of the satellite imagery showed that areas of conflict (roads, agriculture) could be detected. In chapter 6. «Resultater og diskusjon» some other results from other studies/investigations carried out in Scandinavia concerning remote sensing in mapping of vegetation are ... |
format |
Article in Journal/Newspaper |
author |
H. Tømmervik I. Lauknes |
author_facet |
H. Tømmervik I. Lauknes |
author_sort |
H. Tømmervik |
title |
Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data |
title_short |
Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data |
title_full |
Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data |
title_fullStr |
Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data |
title_full_unstemmed |
Mapping of reindeer ranges in the Kautokeino area, Northern Norway, by use of Landsat 5/TM data |
title_sort |
mapping of reindeer ranges in the kautokeino area, northern norway, by use of landsat 5/tm data |
publisher |
Septentrio Academic Publishing |
publishDate |
1987 |
url |
https://doi.org/10.7557/2.7.2.711 https://doaj.org/article/a9dc52d2a7b34e8683488f2eee0c74b0 |
long_lat |
ENVELOPE(23.048,23.048,69.003,69.003) |
geographic |
Norway Kautokeino |
geographic_facet |
Norway Kautokeino |
genre |
Kautokeino Northern Norway Rangifer |
genre_facet |
Kautokeino Northern Norway Rangifer |
op_source |
Rangifer, Vol 7, Iss 2 (1987) |
op_relation |
https://septentrio.uit.no/index.php/rangifer/article/view/711 https://doaj.org/toc/1890-6729 doi:10.7557/2.7.2.711 1890-6729 https://doaj.org/article/a9dc52d2a7b34e8683488f2eee0c74b0 |
op_doi |
https://doi.org/10.7557/2.7.2.711 |
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Rangifer |
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7 |
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