Landsat subpixel water cover of Lena River Delta, Siberia, with link to ESRI grid files ...
Landsat data for Samoylov Island (Lena Delta, Siberia) was classified using a k-means unsupervised algorithm in the ENVI 4.7 software. Unsupervised classifications are based solely on the natural groupings within the image, i.e. the spectral properties of the surface, and as such return classes cont...
Main Authors: | , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
PANGAEA
2012
|
Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.786926 https://doi.pangaea.de/10.1594/PANGAEA.786926 |
id |
ftdatacite:10.1594/pangaea.786926 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.1594/pangaea.786926 2024-09-15T18:17:40+00:00 Landsat subpixel water cover of Lena River Delta, Siberia, with link to ESRI grid files ... Muster, Sina Langer, Moritz Heim, Birgit Westermann, Sebastian Boike, Julia 2012 application/zip https://dx.doi.org/10.1594/pangaea.786926 https://doi.pangaea.de/10.1594/PANGAEA.786926 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.786927 https://dx.doi.org/10.3402/tellusb.v64i0.17301 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 Arctic Tundra river delta Permafrost Research Periglacial Dynamics @ AWI AWI_PerDyn dataset Dataset 2012 ftdatacite https://doi.org/10.1594/pangaea.78692610.1594/pangaea.78692710.3402/tellusb.v64i0.17301 2024-08-01T10:30:25Z Landsat data for Samoylov Island (Lena Delta, Siberia) was classified using a k-means unsupervised algorithm in the ENVI 4.7 software. Unsupervised classifications are based solely on the natural groupings within the image, i.e. the spectral properties of the surface, and as such return classes containing spectrally similar pixels. The resulting satellite spectral classification was compared with the aerial land cover classification in order to assess the fine-scale land cover variability within each satellite pixel and k-means class. Classification of was performed with 15 clusters and 15 iterations. The 15 clusters were reduced to 9 groups by merging clusters with little pixel count into spectrally adjacent classes. k-means classification of Landsat pixels is determined by the proportions of open water and dry tundra within each pixel. Class 1 is a water class. Classes 2-9 are characterized by a gradual decrease in open water and an increase in dry tundra.The entire Lena Delta was then classified using an ... Dataset lena delta lena river permafrost Tundra Siberia DataCite |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
Arctic Tundra river delta Permafrost Research Periglacial Dynamics @ AWI AWI_PerDyn |
spellingShingle |
Arctic Tundra river delta Permafrost Research Periglacial Dynamics @ AWI AWI_PerDyn Muster, Sina Langer, Moritz Heim, Birgit Westermann, Sebastian Boike, Julia Landsat subpixel water cover of Lena River Delta, Siberia, with link to ESRI grid files ... |
topic_facet |
Arctic Tundra river delta Permafrost Research Periglacial Dynamics @ AWI AWI_PerDyn |
description |
Landsat data for Samoylov Island (Lena Delta, Siberia) was classified using a k-means unsupervised algorithm in the ENVI 4.7 software. Unsupervised classifications are based solely on the natural groupings within the image, i.e. the spectral properties of the surface, and as such return classes containing spectrally similar pixels. The resulting satellite spectral classification was compared with the aerial land cover classification in order to assess the fine-scale land cover variability within each satellite pixel and k-means class. Classification of was performed with 15 clusters and 15 iterations. The 15 clusters were reduced to 9 groups by merging clusters with little pixel count into spectrally adjacent classes. k-means classification of Landsat pixels is determined by the proportions of open water and dry tundra within each pixel. Class 1 is a water class. Classes 2-9 are characterized by a gradual decrease in open water and an increase in dry tundra.The entire Lena Delta was then classified using an ... |
format |
Dataset |
author |
Muster, Sina Langer, Moritz Heim, Birgit Westermann, Sebastian Boike, Julia |
author_facet |
Muster, Sina Langer, Moritz Heim, Birgit Westermann, Sebastian Boike, Julia |
author_sort |
Muster, Sina |
title |
Landsat subpixel water cover of Lena River Delta, Siberia, with link to ESRI grid files ... |
title_short |
Landsat subpixel water cover of Lena River Delta, Siberia, with link to ESRI grid files ... |
title_full |
Landsat subpixel water cover of Lena River Delta, Siberia, with link to ESRI grid files ... |
title_fullStr |
Landsat subpixel water cover of Lena River Delta, Siberia, with link to ESRI grid files ... |
title_full_unstemmed |
Landsat subpixel water cover of Lena River Delta, Siberia, with link to ESRI grid files ... |
title_sort |
landsat subpixel water cover of lena river delta, siberia, with link to esri grid files ... |
publisher |
PANGAEA |
publishDate |
2012 |
url |
https://dx.doi.org/10.1594/pangaea.786926 https://doi.pangaea.de/10.1594/PANGAEA.786926 |
genre |
lena delta lena river permafrost Tundra Siberia |
genre_facet |
lena delta lena river permafrost Tundra Siberia |
op_relation |
https://dx.doi.org/10.1594/pangaea.786927 https://dx.doi.org/10.3402/tellusb.v64i0.17301 |
op_rights |
Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_doi |
https://doi.org/10.1594/pangaea.78692610.1594/pangaea.78692710.3402/tellusb.v64i0.17301 |
_version_ |
1810455736774295552 |