[1.0.0] Multispectral indices

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
30/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Quiet
Tech stack
python
Domain
data

Research direction

Start with xrspatial/multispectral.py and compare ndvi, evi, savi, msavi2, osavi, arvi, bai, mndwi, ndwi, nbr, ndbi, ndsi, and sipi against the README feature matrix. Read the dark-corner discussion in #2930, then run /deep-sweep xrspatial/multispectral.py and review the notebook example requirements. Done means the public surface, unresolved decisions, sweep checks, and example checklist are addressed.

Written by the indexing model from the issue text.

Description

1.0.0-tracking area:spectral

1.0.0 readiness: Multispectral indices

Area: Spectral Functions: ndvi, evi, savi, msavi2, osavi, arvi, bai, mndwi, ndwi, nbr, ndbi, ndsi, sipi
Source: xrspatial/multispectral.py

Scope
  • Public surface frozen against the README feature matrix
  • Dark-corner decisions resolved (see #2930)
Sweep clearance, no CRITICAL or HIGH (accuracy and security first)
  • Accuracy /deep-sweep xrspatial/multispectral.py
  • Security
  • Performance
  • API consistency

Last swept: none yet

Examples
  • Notebook example
  • (optional) standalone script
Linked bug issues

none yet

Dominant language
Python
Stars
972
Forks
92
Avg merge
2d 12h
Merged PRs (30d)
7

Contributor guide

Open the contributing guide

First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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