RWI

Citation Author(s):
Eduardo
Justiniano
University of São Paulo
Fernando
kawakubo
University of São Paulo
Edimilson
dos Santos Júnior
University of São Paulo
Breno
de Melo
Federal University of São Carlos
Gustavo
Menezes
University of São Paulo
Marcel
Fantin
University of São Paulo
Julio
Pedrassoli
Western Michigan University
Marcos
Martines
Federal University of São Carlos
Rúbia
Morato
University of São Paulo
Submitted by:
Eduardo Justiniano
Last updated:
Fri, 12/13/2024 - 21:19
DOI:
10.21227/1ybz-1y91
Data Format:
.csv and text (.txt)
License:
Creative Commons Attribution
136 Views
Categories:
Image Processing
Remote Sensing
Keywords:
image classification, spectral analysis, Urban area, water
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Abstract 

This dataset (samplePointsCities_20240811_harmonized.csv) was used for the Rescaled Water Index (RWI) proposal. The GitHub page (https://github.com/edujusti/Rescaled-Water-Index-RWI) contains the Python and JavaScript (Google Earth Engine) scripts used for data production, statistical analyses, and result visualization of the RWI spectral index.

This spectral index is a modification of MNDWI to enhance the mappings of water surfaces.

 

     

Instructions: 

The attached code files (py and txt) contain data and Python code with all the statistical analyses used for the WRI proposal.

The script blocks can be imported into Jupyter Notebook or Colab.

The JavaScript files in GitHub (https://github.com/edujusti/Rescaled-Water-Index-RWI) contain the addresses of the images used. These allow the selection and export of sample data and the visualization of results.

     

Funding Agency: 
Coordination of Superior Level Staff Improvement - Brazil (CAPES)
Grant Number: 
677934

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