Data underlying the research of: Identifying irrigated areas using land surface temperature and hydrological modelling: Application to Rhine basin

1. INTRODUCTION
The dataset consists of 11 files:
- 10 files of irrigated and non-irrigated cropland from 2010 to 2019: irrigated_*.tif
- 1 file of irrigation frequency which is based on yearly classification from 2010 to 2019: irrigation_frequency.tif

2. METHODOLOGICAL INFORMATION
2.1 irrigated_*.tif files
File 1 to 10 were performed on the Rhine basin at 1 km resolution. 
The irrigated area in the Rhine basin were identified by using a framework that combines hydrological modelling and satellite observation of land surface temperature (Ts,obs).
Evapotranspiration estimates from hydrological model is used to compute land surface temperature (Ts,sim). Daily values of observed and simulated land surface temperature are aggregated by using statistical measures of: p10, p50, p90, mean, and standard deviation.
To classify irrigated pixels from nonirrigated pixels, random forest algorithm were used. The classification were performed on cropland class as prescribed by the CORINE Land Cover 2018.

2.2 irrigated_frequency.tif files
The file is constructed based on yearly binary value of irrigated_*.tif files at 1 km resolution.

3. DATA SPECIFIC INFORMATION
All files are in binary format, where 1 represents irrigated cropland and 0 represents non-irrigated cropland. Missing data are indicated by -999.

4. SHARING ACCESS AND INFORMATION
This data is part of Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). Please refer to the paper when using this dataset.