Application of Sentinel-2 and EnMAP new satellite data to the mapping of alpine vegetation of the Karkonosze Mountains
Effective assessment of environmental changes requires an update of vegetation maps as it is an indicator of both local and global development. It is therefore important to formulate methods which would ensure constant monitoring. It can be achieved with the use of satellite data which makes the ana...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2017-09-01
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| Series: | Polish Cartographical Review |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/pcr-2017-0011 |
| _version_ | 1798039734557081600 |
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| author | Jędrych Marcjanna Zagajewski Bogdan Marcinkowska-Ochtyra Adriana |
| author_facet | Jędrych Marcjanna Zagajewski Bogdan Marcinkowska-Ochtyra Adriana |
| author_sort | Jędrych Marcjanna |
| collection | DOAJ |
| description | Effective assessment of environmental changes requires an update of vegetation maps as it is an indicator of both local and global development. It is therefore important to formulate methods which would ensure constant monitoring. It can be achieved with the use of satellite data which makes the analysis of hard-to-reach areas such as alpine ecosystems easier. |
| first_indexed | 2024-04-11T21:57:50Z |
| format | Article |
| id | doaj.art-b995e0cf1a84468c895eeef04107060d |
| institution | Directory Open Access Journal |
| issn | 0324-8321 2450-6966 |
| language | English |
| last_indexed | 2024-04-11T21:57:50Z |
| publishDate | 2017-09-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Polish Cartographical Review |
| spelling | doaj.art-b995e0cf1a84468c895eeef04107060d2022-12-22T04:01:02ZengSciendoPolish Cartographical Review0324-83212450-69662017-09-0149310711910.1515/pcr-2017-0011pcr-2017-0011Application of Sentinel-2 and EnMAP new satellite data to the mapping of alpine vegetation of the Karkonosze MountainsJędrych Marcjanna0Zagajewski Bogdan1Marcinkowska-Ochtyra Adriana2Department of Geoinformatics, Cartography and Remote Sensing, University of Warsaw, Faculty of Geography and Regional StudiesDepartment of Geoinformatics, Cartography and Remote Sensing, University of Warsaw, Faculty of Geography and Regional StudiesDepartment of Geoinformatics, Cartography and Remote Sensing, University of Warsaw, Faculty of Geography and Regional StudiesEffective assessment of environmental changes requires an update of vegetation maps as it is an indicator of both local and global development. It is therefore important to formulate methods which would ensure constant monitoring. It can be achieved with the use of satellite data which makes the analysis of hard-to-reach areas such as alpine ecosystems easier.https://doi.org/10.1515/pcr-2017-0011sentinel-2enmapclassificationalpine vegetationsatellite systems |
| spellingShingle | Jędrych Marcjanna Zagajewski Bogdan Marcinkowska-Ochtyra Adriana Application of Sentinel-2 and EnMAP new satellite data to the mapping of alpine vegetation of the Karkonosze Mountains Polish Cartographical Review sentinel-2 enmap classification alpine vegetation satellite systems |
| title | Application of Sentinel-2 and EnMAP new satellite data to the mapping of alpine vegetation of the Karkonosze Mountains |
| title_full | Application of Sentinel-2 and EnMAP new satellite data to the mapping of alpine vegetation of the Karkonosze Mountains |
| title_fullStr | Application of Sentinel-2 and EnMAP new satellite data to the mapping of alpine vegetation of the Karkonosze Mountains |
| title_full_unstemmed | Application of Sentinel-2 and EnMAP new satellite data to the mapping of alpine vegetation of the Karkonosze Mountains |
| title_short | Application of Sentinel-2 and EnMAP new satellite data to the mapping of alpine vegetation of the Karkonosze Mountains |
| title_sort | application of sentinel 2 and enmap new satellite data to the mapping of alpine vegetation of the karkonosze mountains |
| topic | sentinel-2 enmap classification alpine vegetation satellite systems |
| url | https://doi.org/10.1515/pcr-2017-0011 |
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