Tugai wetland maps and validation data at the Syr Darya floodplain based on MODIS and Landsat 7 NDVI time series

Published: 27 November 2023| Version 2 | DOI: 10.17632/sxyjnhvbm5.2
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 Tugai wetlands NDVI reference profile (csv). The wetland maps are results from a linear regression-based wetland detection analysis with Landsat 7 and MODIS time series data (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 Tugai 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. 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). If you use this data, please cite this article: Schulz, C.; Kleinschmit, B. Monitoring the Condition of Wetlands in the Syr Darya Floodplain—How Healthy Are the Tugai Forests in Kazakhstan? Forests 2023, 14, 2305. https://doi.org/10.3390/f14122305.



Technische Universitat Berlin


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