ROBOT: A spatiotemporal fusion model toward seamless data cube for global remote sensing applications
Code release for ROBOT (a ROBust and OpTimization-based spatiotemporal data fusion model).
Python 3 dependencies:
- numpy
- spams
Attention: Harmonizing MODIS to Landsat images has been proved important to improve the reconstruction accuracy of ROBOT (and probably any other spatiotemporal fusion algorithm), and this repo provided a script (harmonization.py) to do this harmonization as a reference (there's got to be better methods).
This is just a demo code. If you require the algorithm to be implemented with an interface more suitable to your preferences, or if you need some generated data for your research, please feel free to contact me.
Please kindly cite the papers if this code is useful and helpful for your research.
Chen, S., Wang, J., Gong, P., 2023. ROBOT: A spatiotemporal fusion model toward seamless data cube for global remote sensing applications. Remote Sensing of Environment 294, 113616. https://doi.org/10.1016/j.rse.2023.113616
Shuang Chen: shuangchen17@163.com