Landsat-based trend analysis of lake dynamics across northern permafrost regions, supplementary material ...

Lakes are a ubiquitous landscape feature in northern permafrost regions. They have a strong impact on carbon, energy and water fluxes and can be quite responsive to climate change. The monitoring of lake change in northern high latitudes, at a sufficiently accurate spatial and temporal resolution, i...

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Bibliographic Details
Main Authors: Nitze, Ingmar, Grosse, Guido, Jones, Benjamin M, Arp, Chistopher D, Ulrich, Mathias, Fedorov, Alexander N, Veremeeva, Alexandra
Format: Dataset
Language:English
Published: PANGAEA 2017
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.876553
https://doi.pangaea.de/10.1594/PANGAEA.876553
Description
Summary:Lakes are a ubiquitous landscape feature in northern permafrost regions. They have a strong impact on carbon, energy and water fluxes and can be quite responsive to climate change. The monitoring of lake change in northern high latitudes, at a sufficiently accurate spatial and temporal resolution, is crucial for understanding the underlying processes driving lake change. To date, lake change studies in permafrost regions were based on a variety of different sources, image acquisition periods and single snapshots, and localized analysis, which hinders the comparison of different regions. Here we present, a methodology based on machine-learning based classification of robust trends of multi-spectral indices of Landsat data (TM,ETM+, OLI) and object-based lake detection, to analyze and compare the individual, local and regional lake dynamics of four different study sites (Alaska North Slope, Western Alaska, Central Yakutia, Kolyma Lowland) in the northern permafrost zone from 1999 to 2014. Regional patterns of ... : The data are supplementary vector data to "Landsat-based trend analysis of lake dynamics across northern permafrost regions". The data publication contains: 1) geospatial polygon vector files (ESRI Shapefile or GeoJSON) - Lake_change_shp.zip - Lake_change_geojson.zip 2) geospatial point vector files (ESRI Shapefile or GeoJSON) - Lake_change_centroid_shp.zip - Lake_change_centroid_geojson.zip 3) geospatial raster files (GeoTIFF) - Lake_change_rastergrid.zip The study site abbreviations are indicated in the file name. All datasets are projected in UTM. - Alaska North Slope (NSL); UTM Zone 5N - Kobuk-Selawik-Lowlands (AKS); UTM Zone 4N - Central Yakutia (CYA); UTM Zone 52N - Kolyma Lowland (KOL); UTM Zone 57N Vector data:The polygon layer contains the boundaries of each detected lake object as described in the manuscript. The point layer contains the centroid of each detected lake object. Both datasets have six different attributes; area_t0, area_t1, net-ch_ha, C-LW_ha, C-WL_ha, S-W_ha. Attributes: - area_T0: ...