Surface water data: Supplementary Dataset used in: Reinken et al.: Stochastic Modelling of Thermokarst Lakes: Size Distributions and Dynamic Regimes

Short Description

This dataset contains surface water polygons for UTM Zone54 (~138-144°E, 55-76.3°N) based on Nitze et al., (2017, 2018) in GeoPackage format (gpkg). Furthermore it also contains annual surface water area for each polygon using the JRC Surface annual surface water dataset v1.4 (Pekel et al, 2016) in netCDF format (nc). Both datasets (vector + netcdf) can be joined with the id_geohash field, which is unique for each feature.

This is an intermediary dataset of a larger effort to create a panarctic lake change dataset.

Files

lakes_reinken_etal_subsetN.gpkg

geospatial vector file

Projection: EPSG:4326

unique id: id_geohash

attributes

several attributes about long term lake change and geometry

lakes_reinken_etal_subsetN.nc

netCDF file

Coordinates: 

id_geohash (unique identifier to join with geospatial vector file)

date (YYYY-01-01) to indicate the surface water area in respective year and lake/feature

Data variables

area_land (land area in ha)

area_nodata (noData area in ha)

area_water_permanent (permanent water area in ha)

area_water_seasonal (seasonal water area in ha)

Usage

The files can be used with python using xarray (incl. netCDF4) for loading the netCDF file and geopandas for the GeoPackage file. The latter can be also viewed with standard GIS software, e.g. QGIS.

References

Nitze, I., Grosse, G., Jones, B., Arp, C., Ulrich, M., Fedorov, A., & Veremeeva, A. (2017). Landsat-Based Trend Analysis of Lake Dynamics across Northern Permafrost Regions. Remote Sensing, 9(7), 640. https://doi.org/10.3390/rs9070640

Nitze, I., Grosse, G., Jones, B. M., Romanovsky, V. E., & Boike, J. (2018). Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. Nature Communications, 9(1), 5423. https://doi.org/10.1038/s41467-018-07663-3

Pekel, J.-F., Cottam, A., Gorelick, N., & Belward, A. S. (2016). High-resolution mapping of global surface water and its long-term changes. Nature, 540(7633), 418–422. https://doi.org/10.1038/nature20584