Robust trends of landscape dynamics in the Arctic Lena Delta with temporally dense Landsat time-series stacks

The robust Theil-Sen regression algorithm was used to calculate trend parameters (slope, intercept, confidence intervals) on Landsat time-series stack in the north-east Siberian Lena Delta. The trend calculation was applied to different widely used multi-spectral indices (Landsat Tasseled Cap, NDVI, NDWI, NDMI), which serve as proxies for land surface conditions. Analysis was carried over the entire Landsat archive for the peak summer season (July, August) between years 1999 and 2014. Landsat data before 1999 are not available for the study site. A more detailed description of the processing steps is presented in the accompanied publication. The dataset contains 8 raster files in GeoTIFF format, projected in UTM zone 52N (EPSG:32652). There are three different data product types with following properties: 1. Raw Trends Raw trend components for each multi-spectral index with 4 bands. Band 1: slope (linear change) per decade; Band 2: Intercept (interpolated value on July 1st 2014); Band 3: lower confidence interval of slope (alpha=0.05); Band 4: upper confidence interval of slope (alpha=0.05). 2. Number of observations Raster file with the number of valid observations during the observation period. 3. Visual representation of Tasseled Cap slopes A mosaicked visual representation of the trend components of tasseled cap indices (as shown in the publication) is provided as a 3-Band GeoTIFF. Please disable any visual stretch within the used software for correct visualization.