Validation data and mapping results for Tugay wetland detection at the Syr Darya based on MODIS and Landsat 7 NDVI time series

Published: 8 January 2021| Version 1 | DOI: 10.17632/sxyjnhvbm5.1
Christian Schulz


The data contains a zip-file with the validation point data (shp), mapping results (tiff, kml, txt), the area of interest (shp), and the Tugay wetlands NDVI reference profile (csv). The wetland maps are results from a linear regression based wetland detection analysis with Landsat 7 (LE7_L1T_8DAY_NDVI) and MODIS (MCD43A4_NDVI) time series data from Google Earth Engine (Gorelick et al., 2017) (Original Source: United States Geological Survey.) The trend and breakpoint detection maps are results of a time series analysis with the BFAST package (Verbesselt et al., 2010) which was done in the R statistical computing language (RStudio Team, 2020). The mean annual reference NDVI profile for Tugay wetlands was calculated for ten ground truth samples of riparian forest stands at the Syr Darya-Turkestan Nature Park. The validation data at the three 1500 km² large regions Kyzylorda, Zhanakorgan, and the Syr Darya-Turkestan Nature Park was derived from visual interpretation of very high spatial resolution Digital Globe images via Google Earth. The regions were chosen based on on a field trip in September 2017. This dataset is a contribution of the ForeCeA-project “Riparian forests in arid regions of Central Asia under pressure by use and limited water resources: definition of tipping points to ensure sustainable management” funded by the German Ministry of Research and Education (01LC1707C). For further information, we refer to the article mentioned in the references.



Technische Universitat Berlin


Remote Sensing, Time Series Analysis, Image Classification, Time Series Modeling, Riparian Vegetation, Riparian Zone, Riparian Forest, Data Validation, Satellite Image