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random_forest_water_classification

https://github.com/dotido10/random_forest_water_classification

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
    Found 2 DOI reference(s) in README
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    Academic publication links
    Links to: zenodo.org
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    Scientific vocabulary similarity
    Low similarity (3.9%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Dotido10
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 1.55 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Citation

README.md

RandomForestWater_Classification

For this work, we will use data from the Sentinel-2 instrument and a Random Forest algorithm to perform water classification.

The intent of this notebook is two-fold:

First, we will perform some training using the Random Forest algorithm.

Second, we will perform inference using the Random Forest algorithm, and will include some metrics to analyze its performance.

For this exercise we have downloaded our features data from the copernicus platform by using the Google Earth Engine .

We digitized manually our labeled data from the sentinel-2 image by using the QGIS software. Water extend frorm Lakes Azeui and Enriquillo in the island of Haiti were used.

DOI

Owner

  • Login: Dotido10
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Sauveur"
  given-names: "Renaldo"
  orcid: "https://orcid.org/0009-0004-4583-1403"
title: "Random Forest Water Classification"
version: 0.1.1
doi: 10.5281/zenodo.14894604
date-released: 2024-08-04
url: "https://doi.org/10.5281/zenodo.14894604"

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Last Year
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