This repository contains only the codes written in JavaScript to process Sentinel-1 and Landsat 8 images, in Google Earth Engine JavaScript API, to generate optical and radar vegetation indices. My dissertation was written in the Department of Agricultural Engineering, at the Universidade Federal de Viçosa, Brazil. From that, two scientific papers were derived, which are:
It is the first paper:
Vegetation cover monitoring in tropical regions using SAR-C dual-polarization index: seasonal and spatial influences. It was published in the International Journal of Remote Sensing, and can be accessed through the DOI: https://doi.org/10.1080/01431161.2021.1959955
It is the second paper:
A Machine Learning approach to reconstruct cloudy affected vegetation indices imagery via data fusion from Sentinel-1 and Landsat 8. It was published in the Computers and Electronics in Agriculture journal and can be accessed through the DOI: https://doi.org/10.1016/j.compag.2022.106753
Follows also a graphical abstract of the second paper:
If any of the codes published here seems useful for your, please consider citing the corresponding paper!
Erli Pinto dos Santos Agronomy Engineer PhD candidate in Agricultural Engineering Department of Agricultural Engineering Universidade Federal de Viçosa (Viçosa, Minas Gerais, Brazil)
Feel free to contact me anytime at: erlispinto@outlook.com or erli.santos@ufv.br