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...

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Bibliographic Details
Main Authors: Muster, Sina, Langer, Moritz, Heim, Birgit, Westermann, Sebastian, Boike, Julia
Format: Dataset
Language:English
Published: PANGAEA 2012
Subjects:
Arctic Tundra
river delta
Permafrost Research Periglacial Dynamics @ AWI AWI_PerDyn
lena delta
lena river
permafrost
Tundra
Siberia
Online Access:https://dx.doi.org/10.1594/pangaea.786926
https://doi.pangaea.de/10.1594/PANGAEA.786926
Description
Summary: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 ...

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