This repository is for a global validaton of soil moisture retrieval algorithms
Ground soil moisture measurements are available at https://ismn.geo.tuwien.ac.at/en/.
A jupyter notebook (Preprocessing_ISMN_Raw_Data.ipynb) was built for the preprocessing of the raw data
The outputs include:
- Site-specific files named as network-station including the available daily averaged soil moisutre at 0 - 5 cm of each station;
- A csv file containing the details of each station.
The SMAP data is available at https://nsidc.org/data/SPL3SMP. A pyhton script can be generated automatically for batch download
Use Extract the SMAP soil moisture.ipynb to extract the soil moisutre over each station.
An google developer account is required to access the GEE
The https://github.com/giswqs/geemap is suggested for the setup of GEE
Use Extract GEE data.ipynb to download Sentinel-1 and MODIS NDVI
Use Extract static auxiliary data.ipynb to download landcover from GEE
comming soon
Update on Dec. 23 2022: The author is struggling with his KPI and obviously the python version is not comming shortly. You may request a MATLAB version instead by sending to liujun.zhu@hhu.edu.cn
Liujun Zhu, Rui Si, Xiaoji Shen & Jeffrey P. Walker (2022) An advanced change detection method for time-series soil moisture retrieval from Sentinel-1, Remote Sensing of Environment