Land cover and polygonal pond classification of the Holocene Terrace on Samoylov Island

DOI

This dataset contains two sub-datasets: 1) A land cover classification for the Holocene terrace on Samoylov island. The land cover classification is based on a high-resolution near-infrared (NIR) orthomosaic of Samoylov Island, Siberia from summer 2008 (Boike et al., 2012) as well as an existing land cover classification of part of the Holocene terrace by Muster et al. (2012). 2) A shapefile containing all waterbodies on the Holocene terrace on Samoylov island. Here, we applied minimum bounding geometry to each individual pond in order to calculate its compactness, i.e. the extent to which the ponds approximate a circular shape. The extended land cover classification was produced using ArcMap 10.8 (ESRI Inc., USA). As training data, we used a subset of the existing land cover classification by Muster et al. (2012), and applied a maximum likelihood algorithm to the near-infrared (NIR) orthomosaic of Samoylov island. The land cover classes are: wet tundra, dry tundra, open water, and overgrown water. For the water body classification, we applied a majority filter to the new classification and extracted all waterbodies, regardless of whether they were classified as open or overgrown water. After extraction, the minimum bounding distance of the smallest circle was calculated for each waterbody. In order to determine the compactness of each water body, the area of the smallest bounding circle was then divided by the area of the corresponding pond using the field calculator in ArcMap 10.8. Ponds which more closely resemble a circle have a lower measure of compactness. The pond classification was validated using the ponds classified by Rehder et al. (2020). In the data, we used the flag ‚1' for polygonal-center ponds, ‚2' signifies ice-wedge ponds and larger ponds made up of several submerged polygons (merged polygonal ponds) are indicated by the flag ‚3'. Waterbodies which do not fall into any of the three categories were excluded from the classification (‚-1').

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.944071
Related Identifier https://doi.org/10.5194/bg-2021-212
Related Identifier https://doi.org/10.1594/PANGAEA.847343
Related Identifier https://doi.org/10.3402/tellusb.v64i0.17301
Related Identifier https://doi.org/10.1594/PANGAEA.922399
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.944071
Provenance
Creator Mirbach, Charlotta; Rehder, Zoé; Kutzbach, Lars; Boike, Julia
Publisher PANGAEA - Data Publisher for Earth & Environmental Science
Publication Year 2022
Funding Reference German Science Foundation, 390683824
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Language English
Resource Type Dataset
Format text/tab-separated-values
Size 4 data points
Discipline Earth System Research
Spatial Coverage (126.489 LON, 72.376 LAT); Samoylov Island, Lena Delta, Siberia