orthophoto

🚀 Extract and analyze high-accuracy georeferenced vehicle trajectories from bird's-eye-view aerial video using computer vision and deep learning, for scalable urban traffic analysis.

Overlay web map tiles (OSM, aerial, custom XYZ) onto Autodesk APS Viewer as a camera-synced 3D ground plane. Handles coordinate transforms, frustum calculation, tile stitching, and caching.

UAV photogrammetry with GCP-based geodetic validation. Demonstrates orthophoto and DSM generation from drone imagery using OpenDroneMap.

A fully open-source alternative to commercial photogrammetry suites. Turns aerial/drone photos into point clouds, meshes, DSM/DTM, orthomosaics, and contours — with an experimental 3D Gaussian Splatting branch. MIT licensed, GPU-agnostic.

Resilient, decentralized data distribution via Source Cooperative, Zenodo, Internet Archive, Data for Canada infrastructure, and community, using peer-to-peer delivery and FAIR metadata.

NodeODM-compatible WebODM engine: COLMAP sparse + full OpenMVS chain (ReconstructMesh/RefineMesh)

A simple tool to view Ground Sampling Distance (GSD) information from orthophoto files with built-in support for matching DJI camera codes to drone models.

Turn raw raster data into production-ready maps.

OrthoViewer is a free GeoTIFF online viewer platform

This project provides a suite of Python, R and Octave/Matlab scripts allowing the end-user to use machine learning to assess the health state of trees based on orthophotos and a LiDAR point cloud.

SatOrtho: satellite-map-prior-assisted real-time orthophoto generation for GNSS-denied UAV mapping.

A scenery generator for the X-Plane flight simulator

Automated pipeline for detecting, mapping and counting birch seedlings | Qgis, Random Forest

航空写真（正射画像）から XYZ ラスタータイル / PMTiles を生成するパイプライン。検査 → 前処理 → モザイク結合 → タイル生成 → TileJSON を設定ファイル1枚で通す。GSD から最大ズームレベルを自動決定し、図郭コードから平面直角座標系の系番号を判定する。

Pack a huge orthophoto into one shareable PMTiles file plus an offline viewer that opens with no server, no internet and no QGIS. QGIS plugin + headless Python CLI.

Four-stage geospatial pipeline: downloads orthophoto tiles for arbitrary areas, validates and recovers them, and assembles georeferenced GeoTIFFs (EPSG:3857) with memory-safe incremental writes.

Archaeological feature extraction and vectorisation pipeline: turns georeferenced orthophotos & DEMs into vector geometry (stones, walls, edges, sections) for a PostGIS archaeology database.

A place to experiment with metadata dissemination and its associated processes.

Geospatial Segment Anything Model (GeoSAM) : Case Study at Chulalongkorn University