TerraSight Offline Satellite Analysis Powered by Gemma 4
TerraSight is a geospatial analysis tool designed for offline use, allowing users to analyze Landsat 9 satellite data on their own machines. It computes indices such as NDVI, NDBI, and LST, providing insights without the need for expensive software or GIS expertise. The tool aims to make satellite imagery analysis accessible to a broader audience, including farmers and students.
- ▪TerraSight runs entirely on local machines, processing satellite data without cloud dependency.
- ▪The application computes three key indices: NDVI for vegetation health, NDBI for urban coverage, and LST for land temperature.
- ▪Gemma 4 enhances the tool by providing contextual AI responses based on the computed statistics.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/hyster_alan_cae6913e040c6/terrasight-offline-satellite-analysis-powered-by-gemma-4-2nkk |
| Publication time | Sun, 24 May 2026 06:30:54 +0000 |
| Retrieval time | 2026-05-24T07:07:31.109Z |
| Last seen | 2026-05-24T07:07:31.109Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | pIbMKIv3YFpj |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 1665096) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Hyster Alan Posted on May 24 TerraSight Offline Satellite Analysis Powered by Gemma 4 #devchallenge #gemmachallenge #gemma Gemma 4 Challenge: Build With Gemma 4 Submission This is a submission for the Gemma 4 Challenge: Build with Gemma 4 What I Built TerraSight is a geospatial analysis tool that runs entirely on your machine.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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