Use of Unmanned Aircraft Systems (UAS) in a multi-scale vegetation index study of Arctic plant communities in Adventdalen on Svalbard ...
Use of Unmanned Aircraft Systems (UAS) gives the opportunity to carry out research with a reduced environmental footprint. Unmanned aircraft, including both fixed wing and multi rotor types (helicopters) allow us to collect very high resolution image data for vegetation mapping without the need for...
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Online Access: | https://dx.doi.org/10.12760/02-2014-1-09 http://eproceedings.org/vol13_S1/13_S1_tommervik1.html |
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ftdatacite:10.12760/02-2014-1-09 2023-08-27T04:03:32+02:00 Use of Unmanned Aircraft Systems (UAS) in a multi-scale vegetation index study of Arctic plant communities in Adventdalen on Svalbard ... Tommervik, Hans Karlsen, Stein-Rune Nilsen, Lennart Johansen, Bernt Storvold, Rune Zmarz, Anna Becker, Pieter S. Johansen, Kjell-Sture Hogda, Kjell-Arild Goetz, Scott Park, Tjaejin Zagajewski, Bogdan Myneni, Ranga B. Bjerk, Jarle W. 2014 https://dx.doi.org/10.12760/02-2014-1-09 http://eproceedings.org/vol13_S1/13_S1_tommervik1.html en eng EARSeL eProceedings Unmanned Aircraft Systems UAS NDVI dataset Dataset 2014 ftdatacite https://doi.org/10.12760/02-2014-1-09 2023-08-07T14:24:23Z Use of Unmanned Aircraft Systems (UAS) gives the opportunity to carry out research with a reduced environmental footprint. Unmanned aircraft, including both fixed wing and multi rotor types (helicopters) allow us to collect very high resolution image data for vegetation mapping without the need for any personnel walking into the site and thereby potentially disturbing the sensitive Arctic ecosystems. The main aim of this project was to explore the feasibility of UAS-based vegetation mapping and extraction of vegetation indices (NDVI) for a range of different Arctic plant communities including dense marshes, moss tundra communities and different tundra heaths. The study area of Adventdalen valley on Svalbard, Arctic Norway, is located at 71.2 degree N 16 degree E and experiences a dry Arctic climate with a mean July temperature of about 6 degree C. The UAS was a fixed wing aircraft instrumented with a Red, Green, Blue (RGB) compact camera and a Normalized Difference Vegetation Index (NDVI) camera taking ... Dataset Adventdalen Arctic Svalbard Tundra DataCite Metadata Store (German National Library of Science and Technology) Adventdalen ENVELOPE(16.264,16.264,78.181,78.181) Arctic Norway Svalbard |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Unmanned Aircraft Systems UAS NDVI |
spellingShingle |
Unmanned Aircraft Systems UAS NDVI Tommervik, Hans Karlsen, Stein-Rune Nilsen, Lennart Johansen, Bernt Storvold, Rune Zmarz, Anna Becker, Pieter S. Johansen, Kjell-Sture Hogda, Kjell-Arild Goetz, Scott Park, Tjaejin Zagajewski, Bogdan Myneni, Ranga B. Bjerk, Jarle W. Use of Unmanned Aircraft Systems (UAS) in a multi-scale vegetation index study of Arctic plant communities in Adventdalen on Svalbard ... |
topic_facet |
Unmanned Aircraft Systems UAS NDVI |
description |
Use of Unmanned Aircraft Systems (UAS) gives the opportunity to carry out research with a reduced environmental footprint. Unmanned aircraft, including both fixed wing and multi rotor types (helicopters) allow us to collect very high resolution image data for vegetation mapping without the need for any personnel walking into the site and thereby potentially disturbing the sensitive Arctic ecosystems. The main aim of this project was to explore the feasibility of UAS-based vegetation mapping and extraction of vegetation indices (NDVI) for a range of different Arctic plant communities including dense marshes, moss tundra communities and different tundra heaths. The study area of Adventdalen valley on Svalbard, Arctic Norway, is located at 71.2 degree N 16 degree E and experiences a dry Arctic climate with a mean July temperature of about 6 degree C. The UAS was a fixed wing aircraft instrumented with a Red, Green, Blue (RGB) compact camera and a Normalized Difference Vegetation Index (NDVI) camera taking ... |
format |
Dataset |
author |
Tommervik, Hans Karlsen, Stein-Rune Nilsen, Lennart Johansen, Bernt Storvold, Rune Zmarz, Anna Becker, Pieter S. Johansen, Kjell-Sture Hogda, Kjell-Arild Goetz, Scott Park, Tjaejin Zagajewski, Bogdan Myneni, Ranga B. Bjerk, Jarle W. |
author_facet |
Tommervik, Hans Karlsen, Stein-Rune Nilsen, Lennart Johansen, Bernt Storvold, Rune Zmarz, Anna Becker, Pieter S. Johansen, Kjell-Sture Hogda, Kjell-Arild Goetz, Scott Park, Tjaejin Zagajewski, Bogdan Myneni, Ranga B. Bjerk, Jarle W. |
author_sort |
Tommervik, Hans |
title |
Use of Unmanned Aircraft Systems (UAS) in a multi-scale vegetation index study of Arctic plant communities in Adventdalen on Svalbard ... |
title_short |
Use of Unmanned Aircraft Systems (UAS) in a multi-scale vegetation index study of Arctic plant communities in Adventdalen on Svalbard ... |
title_full |
Use of Unmanned Aircraft Systems (UAS) in a multi-scale vegetation index study of Arctic plant communities in Adventdalen on Svalbard ... |
title_fullStr |
Use of Unmanned Aircraft Systems (UAS) in a multi-scale vegetation index study of Arctic plant communities in Adventdalen on Svalbard ... |
title_full_unstemmed |
Use of Unmanned Aircraft Systems (UAS) in a multi-scale vegetation index study of Arctic plant communities in Adventdalen on Svalbard ... |
title_sort |
use of unmanned aircraft systems (uas) in a multi-scale vegetation index study of arctic plant communities in adventdalen on svalbard ... |
publisher |
EARSeL eProceedings |
publishDate |
2014 |
url |
https://dx.doi.org/10.12760/02-2014-1-09 http://eproceedings.org/vol13_S1/13_S1_tommervik1.html |
long_lat |
ENVELOPE(16.264,16.264,78.181,78.181) |
geographic |
Adventdalen Arctic Norway Svalbard |
geographic_facet |
Adventdalen Arctic Norway Svalbard |
genre |
Adventdalen Arctic Svalbard Tundra |
genre_facet |
Adventdalen Arctic Svalbard Tundra |
op_doi |
https://doi.org/10.12760/02-2014-1-09 |
_version_ |
1775350092183633920 |