Remote sensing in inventory of high altitude pastures of the eastern Tibetan Plateau
The animal husbandry practised on high altitude pastures of the eastern Tibetan Plateau is based on the use of natural pastures. The livestock consists of yaks, sheep and horses. During the recent decades the number of animals has increased in the Dzoge study area, which is located in the north west...
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Septentrio Academic Publishing
2004
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ftunitroemsoe:oai:ojs.henry.ub.uit.no:article/1724 2023-05-15T18:03:55+02:00 Remote sensing in inventory of high altitude pastures of the eastern Tibetan Plateau Kumpula, Timo Colpaert, Alfred Qian, Wang Manderscheid, Angela 2004-04-01 application/pdf https://septentrio.uit.no/index.php/rangifer/article/view/1724 https://doi.org/10.7557/2.24.4.1724 eng eng Septentrio Academic Publishing https://septentrio.uit.no/index.php/rangifer/article/view/1724/1609 https://septentrio.uit.no/index.php/rangifer/article/view/1724 doi:10.7557/2.24.4.1724 Copyright (c) 2015 Timo Kumpula, Alfred Colpaert, Wang Qian, Angela Manderscheid http://creativecommons.org/licenses/by/3.0/ CC-BY Rangifer; Vol 24 (2004): Special Issue No. 15; 53-63 1890-6729 satellite telemetry remote sensing pastures Tibet yaks sheep horses high altitude pastures info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2004 ftunitroemsoe https://doi.org/10.7557/2.24.4.1724 2021-08-16T15:06:01Z The animal husbandry practised on high altitude pastures of the eastern Tibetan Plateau is based on the use of natural pastures. The livestock consists of yaks, sheep and horses. During the recent decades the number of animals has increased in the Dzoge study area, which is located in the north western part of the Sichuan province at an altitude of 2800-4000 meters. Most of Dzoge is treeless grassland with large peat land areas. The remote sensing and Geographical Information System (GIS) methods combined with the conventional pasture mapping provide a methodology to make a cost effective and reliable inventory of large areas. Providing accurate data about the quality and quantity of pastures and also of the amount of natural forage resources promotes sustainable use of the pastures. Two field trips were made to Dzoge. Random test plots (186) covering the main vegetation types in the research area were selected. The Landsat TM image is the remote sensing data in used this study. The image classification was done in the ERMapper program. The final map producing and the accuracy assessment were performed in the ArcGIS program. The Landsat TM image proved to be a useful data source in the mapping of pastures in the Dzoge area. The main vegetation classes were classified accurately. The estimations of the biomass of different vegetation types were made. Elevation differences were relatively small and the shadows on the slopes did not affect the classification significantly. Article in Journal/Newspaper Rangifer University of Tromsø: Septentrio Academic Publishing Rangifer 53 63 |
institution |
Open Polar |
collection |
University of Tromsø: Septentrio Academic Publishing |
op_collection_id |
ftunitroemsoe |
language |
English |
topic |
satellite telemetry remote sensing pastures Tibet yaks sheep horses high altitude pastures |
spellingShingle |
satellite telemetry remote sensing pastures Tibet yaks sheep horses high altitude pastures Kumpula, Timo Colpaert, Alfred Qian, Wang Manderscheid, Angela Remote sensing in inventory of high altitude pastures of the eastern Tibetan Plateau |
topic_facet |
satellite telemetry remote sensing pastures Tibet yaks sheep horses high altitude pastures |
description |
The animal husbandry practised on high altitude pastures of the eastern Tibetan Plateau is based on the use of natural pastures. The livestock consists of yaks, sheep and horses. During the recent decades the number of animals has increased in the Dzoge study area, which is located in the north western part of the Sichuan province at an altitude of 2800-4000 meters. Most of Dzoge is treeless grassland with large peat land areas. The remote sensing and Geographical Information System (GIS) methods combined with the conventional pasture mapping provide a methodology to make a cost effective and reliable inventory of large areas. Providing accurate data about the quality and quantity of pastures and also of the amount of natural forage resources promotes sustainable use of the pastures. Two field trips were made to Dzoge. Random test plots (186) covering the main vegetation types in the research area were selected. The Landsat TM image is the remote sensing data in used this study. The image classification was done in the ERMapper program. The final map producing and the accuracy assessment were performed in the ArcGIS program. The Landsat TM image proved to be a useful data source in the mapping of pastures in the Dzoge area. The main vegetation classes were classified accurately. The estimations of the biomass of different vegetation types were made. Elevation differences were relatively small and the shadows on the slopes did not affect the classification significantly. |
format |
Article in Journal/Newspaper |
author |
Kumpula, Timo Colpaert, Alfred Qian, Wang Manderscheid, Angela |
author_facet |
Kumpula, Timo Colpaert, Alfred Qian, Wang Manderscheid, Angela |
author_sort |
Kumpula, Timo |
title |
Remote sensing in inventory of high altitude pastures of the eastern Tibetan Plateau |
title_short |
Remote sensing in inventory of high altitude pastures of the eastern Tibetan Plateau |
title_full |
Remote sensing in inventory of high altitude pastures of the eastern Tibetan Plateau |
title_fullStr |
Remote sensing in inventory of high altitude pastures of the eastern Tibetan Plateau |
title_full_unstemmed |
Remote sensing in inventory of high altitude pastures of the eastern Tibetan Plateau |
title_sort |
remote sensing in inventory of high altitude pastures of the eastern tibetan plateau |
publisher |
Septentrio Academic Publishing |
publishDate |
2004 |
url |
https://septentrio.uit.no/index.php/rangifer/article/view/1724 https://doi.org/10.7557/2.24.4.1724 |
genre |
Rangifer |
genre_facet |
Rangifer |
op_source |
Rangifer; Vol 24 (2004): Special Issue No. 15; 53-63 1890-6729 |
op_relation |
https://septentrio.uit.no/index.php/rangifer/article/view/1724/1609 https://septentrio.uit.no/index.php/rangifer/article/view/1724 doi:10.7557/2.24.4.1724 |
op_rights |
Copyright (c) 2015 Timo Kumpula, Alfred Colpaert, Wang Qian, Angela Manderscheid http://creativecommons.org/licenses/by/3.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.7557/2.24.4.1724 |
container_title |
Rangifer |
container_start_page |
53 |
op_container_end_page |
63 |
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1766175128307105792 |