/Single_Object_Aquaculture_Ponds_Extraction

An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine

Primary LanguageJupyter NotebookMIT LicenseMIT

An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine

This code is used in the following paper:

Title: An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine

Authors: Boyi Li, Adu Gong, Zikun Chen, Xiang Pan, Lingling Li, Jinglin Li, and Wenxuan Bao

Paper link: https://doi.org/10.3390/rs15030856

Citation

If you find this code to be useful for your research, please consider citing:

Li, B.; Gong, A.; Chen, Z.; Pan, X.; Li, L.; Li, J.; Bao, W. An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine. Remote Sens. 2023, 15, 856. https://doi.org/10.3390/rs15030856

Usage

The code can be run on Visual Studio Code or Google Colab after code edit.

Run main.ipynb

You will get the single-object aquaculture ponds extraction result.

Utils.py

Functions packaged for the method.