Initial GeoIntel V1 foundation

rfc/RFC-001-sentinel-integration.md

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+# RFC-001 — Sentinel Integration
+
+## Status
+Proposed for V2.
+
+## Goal
+Add Sentinel-2 workflows for NDVI, NDWI, NDBI, seasonal comparison, and raster-based change detection.
+
+## Required capabilities
+
+- Search imagery by area/date/cloud cover.
+- Download or stream bands.
+- Clip to project area.
+- Compute indices.
+- Store derived rasters.
+- Visualize index maps.
+- Export statistics per area.
+
+## Out of scope for V1
+Live Copernicus/STAC integration should not block the V1 GeoAI foundation.

rfc/RFC-002-lidar-workbench.md

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+# RFC-002 — LiDAR Workbench
+
+## Status
+Proposed for V3/V4.
+
+## Goal
+Support LAS/LAZ metadata, clipping, filtering, DEM/DSM derivation, and height profile analysis using PDAL and laspy.
+
+## Planned workflow
+
+1. Upload or reference LAZ/LAS.
+2. Extract metadata.
+3. Clip to area.
+4. Generate DEM/DSM where feasible.
+5. Store derived raster outputs.
+6. Visualize height products on the map.
+
+## Out of scope for V1
+Full point cloud visualization, large-scale tiling, and 3D rendering.

rfc/RFC-003-training-studio.md

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+# RFC-003 — Training Studio
+
+## Status
+Proposed for V3.
+
+## Goal
+Allow users to create annotation datasets and fine-tune object detection/segmentation models.
+
+## Required prerequisites
+
+- Annotation Studio.
+- YOLO/COCO export.
+- Dataset versioning.
+- Model registry.
+- Training run metadata.
+- Evaluation metrics.
+
+## Out of scope for V1
+Model training execution. V1 focuses on inference and QA/QC.

rfc/RFC-004-qgis-plugin.md

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+# RFC-004 — QGIS Plugin
+
+## Status
+Future idea.
+
+## Goal
+Allow QGIS users to send selected areas/layers to GeoIntel and pull back detections, segmentations, QA results, and exports.
+
+## Rationale
+This would strongly align GeoIntel with real GIS workflows, but should only be considered after API stability.

rfc/RFC-005-mlops-model-registry.md

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+# RFC-005 — MLOps and Model Registry
+
+## Status
+Proposed after Training Studio.
+
+## Goal
+Track model versions, metrics, datasets, training parameters, artifacts, and deployment eligibility.
+
+## V1 preparation
+The V1 schema includes model registry concepts, but no full MLOps workflow is required.