RRepoGEO

REPOGEO REPORT · LITE

wenhwu/awesome-remote-sensing-change-detection

Default branch master · commit d315c2e8 · scanned 5/14/2026, 3:02:06 AM

GitHub: 2,209 stars · 399 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface wenhwu/awesome-remote-sensing-change-detection, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify "awesome list" nature in README's opening

    Why:

    CURRENT
    A comprehensive and up-to-date compilation of datasets, tools, methods (including foundation models, diffusion models, transformers, and CNNs), review papers, and competitions for remote sensing change detection.
    COPY-PASTE FIX
    An *awesome list*: a comprehensive and up-to-date compilation of datasets, tools, methods (including foundation models, diffusion models, transformers, and CNNs), review papers, and competitions for remote sensing change detection.
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the MIT License text, as suggested by the badge in the README.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL to `https://github.com/wenhwu/awesome-remote-sensing-change-detection`.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface wenhwu/awesome-remote-sensing-change-detection
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
opencv/opencv
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. opencv/opencv · recommended 2×
  2. OSGeo/gdal · recommended 2×
  3. scikit-image/scikit-image · recommended 2×
  4. pytorch/pytorch · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    How to find deep learning methods for identifying changes in satellite imagery?
    you: not recommended
    AI recommended (in order):
    1. PyTorch (pytorch/pytorch)
    2. TensorFlow (tensorflow/tensorflow)
    3. Keras (keras-team/keras)
    4. fastai (fastai/fastai)
    5. OpenCV (opencv/opencv)
    6. GDAL (OSGeo/gdal)
    7. rasterio (rasterio/rasterio)
    8. scikit-image (scikit-image/scikit-image)

    AI recommended 8 alternatives but never named wenhwu/awesome-remote-sensing-change-detection. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find comprehensive resources for remote sensing change detection tasks?
    you: not recommended
    AI recommended (in order):
    1. Google Earth Engine
    2. ESRI ArcGIS Pro
    3. QGIS (qgis/QGIS)
    4. GDAL/OGR (OSGeo/gdal)
    5. Rasterio (mapbox/rasterio)
    6. Scikit-image (scikit-image/scikit-image)
    7. OpenCV (opencv/opencv)

    AI recommended 7 alternatives but never named wenhwu/awesome-remote-sensing-change-detection. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of wenhwu/awesome-remote-sensing-change-detection?
    pass
    AI did not name wenhwu/awesome-remote-sensing-change-detection — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts wenhwu/awesome-remote-sensing-change-detection in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wenhwu/awesome-remote-sensing-change-detection explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo wenhwu/awesome-remote-sensing-change-detection solve, and who is the primary audience?
    pass
    AI did not name wenhwu/awesome-remote-sensing-change-detection — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of wenhwu/awesome-remote-sensing-change-detection. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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wenhwu/awesome-remote-sensing-change-detection — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite