Dataset for: "Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra" ...
Input materials, scripts and results for:- Trend analyses in MODIS Enhanced Vegetation Index for 2000-2019 in the Indigirka Lowlands, Sakha Republic, Russian federation.- Land Cover Change Detection of Vegetation Functional Groups in an Arcitc tundra site using very high resolution (0.5) satellite i...
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DANS Data Station Life Sciences
2021
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Online Access: | https://dx.doi.org/10.17026/dans-zke-thy4 https://lifesciences.datastations.nl/citation?persistentId=doi:10.17026/dans-zke-thy4 |
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ftdatacite:10.17026/dans-zke-thy4 2024-01-28T10:08:53+01:00 Dataset for: "Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra" ... Magnússon, R Í 2021 https://dx.doi.org/10.17026/dans-zke-thy4 https://lifesciences.datastations.nl/citation?persistentId=doi:10.17026/dans-zke-thy4 en eng DANS Data Station Life Sciences Dataset dataset 2021 ftdatacite https://doi.org/10.17026/dans-zke-thy4 2024-01-04T15:43:23Z Input materials, scripts and results for:- Trend analyses in MODIS Enhanced Vegetation Index for 2000-2019 in the Indigirka Lowlands, Sakha Republic, Russian federation.- Land Cover Change Detection of Vegetation Functional Groups in an Arcitc tundra site using very high resolution (0.5) satellite images in a focus area in the Kytalyk Reserve, Indigirka Lowlands over the period 2010-2019. ... Dataset Sakha Republic Tundra DataCite Metadata Store (German National Library of Science and Technology) Indigirka ENVELOPE(149.609,149.609,70.929,70.929) Sakha |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
description |
Input materials, scripts and results for:- Trend analyses in MODIS Enhanced Vegetation Index for 2000-2019 in the Indigirka Lowlands, Sakha Republic, Russian federation.- Land Cover Change Detection of Vegetation Functional Groups in an Arcitc tundra site using very high resolution (0.5) satellite images in a focus area in the Kytalyk Reserve, Indigirka Lowlands over the period 2010-2019. ... |
format |
Dataset |
author |
Magnússon, R Í |
spellingShingle |
Magnússon, R Í Dataset for: "Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra" ... |
author_facet |
Magnússon, R Í |
author_sort |
Magnússon, R Í |
title |
Dataset for: "Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra" ... |
title_short |
Dataset for: "Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra" ... |
title_full |
Dataset for: "Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra" ... |
title_fullStr |
Dataset for: "Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra" ... |
title_full_unstemmed |
Dataset for: "Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra" ... |
title_sort |
dataset for: "shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the siberian lowland tundra" ... |
publisher |
DANS Data Station Life Sciences |
publishDate |
2021 |
url |
https://dx.doi.org/10.17026/dans-zke-thy4 https://lifesciences.datastations.nl/citation?persistentId=doi:10.17026/dans-zke-thy4 |
long_lat |
ENVELOPE(149.609,149.609,70.929,70.929) |
geographic |
Indigirka Sakha |
geographic_facet |
Indigirka Sakha |
genre |
Sakha Republic Tundra |
genre_facet |
Sakha Republic Tundra |
op_doi |
https://doi.org/10.17026/dans-zke-thy4 |
_version_ |
1789338106518831104 |