...Strong candidates should have experience in: Machine Learning / Deep Learning Computer Vision for remote sensing Geospatial data processing Experimental design for research papers Technical stack: Python PyTorch or TensorFlow OpenCV NumPy / Pandas Scikit-learn Matplotlib / Seaborn AWS cloud workflows GPU computing Experience with the following is highly desirable: Satellite imagery processing GeoJSON / GDAL STAC catalogs LLM integration Retrieval-Augmented Generation Nice-to-Have Experience Experience with: Academic ML research Remote sensing journals Geospatial AI Multimodal AI pipelines Experiment reproducibility frameworks Deliverables Summary The freelancer will produce: Experiment protocol document Dataset preparation pipeline Controlled experiment runs Evaluation metric...
...Strong candidates should have experience in: Machine Learning / Deep Learning Computer Vision for remote sensing Geospatial data processing Experimental design for research papers Technical stack: Python PyTorch or TensorFlow OpenCV NumPy / Pandas Scikit-learn Matplotlib / Seaborn AWS cloud workflows GPU computing Experience with the following is highly desirable: Satellite imagery processing GeoJSON / GDAL STAC catalogs LLM integration Retrieval-Augmented Generation Nice-to-Have Experience Experience with: Academic ML research Remote sensing journals Geospatial AI Multimodal AI pipelines Experiment reproducibility frameworks Deliverables Summary The freelancer will produce: Experiment protocol document Dataset preparation pipeline Controlled experiment runs Evaluation metric...
...any location. • Fill in a form for each feature so I can capture the notes and other data fields shown in the sample. • Edit or delete existing records and instantly see the changes on the map. • Filter and export the data to CSV/GeoJSON for reports or further analysis. Technical preferences I am open to Leaflet, Mapbox GL, OpenLayers, or an ESRI JavaScript implementation—whichever you are most comfortable with—as long as the finished product is browser-based, mobile-friendly, and stores data reliably (PostGIS, SQLite, or even a flat GeoJSON file is acceptable). Acceptance criteria • All sample data loads and renders correctly. • New records save without page refresh and persist after reload. • Export produce...
I’m building a large-capacity (150 litre) agricultural drone that must stay genuinely affordable, so every design decision needs to r...Short test video or log proving stable lift, waypoint flight and payload actuation Acceptance criteria – All listed parts must be available from mainstream suppliers (no boutique one-offs) – Hover and cruise tests demonstrate safe operation at full 150 L load – Spraying and siembra subsystems achieve uniform coverage within ±5 % of target rate – Log files export in common formats (CSV, GeoJSON) for agronomic analysis If this challenge fits your skill set, outline your approach, key component choices and any past work with heavy-lift or agri UAVs. Let’s get this drone from concept to reliable field...
...displaying 56,000+ parcel polygons for a California county (color-coded with filtering and popups) and need it rebuilt as a production-grade Mapbox GL JS application inside Next.js. What we have: Working Leaflet prototype with 56K+ parcels GeoJSON and GeoPackage datasets (parcel geometries joined to property records) Python/geopandas data pipeline producing the source files Cloudflare hosting environment What we need built: Performance & Core Map Migrate from Leaflet to Mapbox GL JS with vector tiles (Tippecanoe or PMTiles) — current build loads raw GeoJSON which bogs down at scale Target: 60fps pan/zoom and sub-2-second initial load with 50K+ polygons Color-coded parcel polygons with toggleable schemes (by dollar amount, property type, year, status) Interacti...
...QGIS, ArcMap, and Google Earth. Data Hygiene: Ensuring all layers are in the correct Coordinate Reference System (typically NAD83 / UTM zone 20N) and free of geometry errors. Technical Requirements Proficiency in QGIS (preferred) or ArcMap/ArcGIS Pro. Proven experience in georeferencing complex PDF documents with high spatial accuracy. Ability to work with various spatial data formats (KML, GeoJSON, TIFF, GPKG). Strong attention to detail—topology matters (no overlaps, no gaps). Future Phase: GUI Development (Python/PyQGIS) Beyond standard data production, I am looking to potentially develop a simple, custom GUI interface (likely using Python/PyQGIS) to help demonstrate carbon modeling results to clients. If you have experience building custom plugins, standalone QGIS...
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...manual sync) Remove records when they are deleted from the sheet Display suburb boundaries on a map using a GeoJSON file we already have Colour suburbs differently based on subscription type Ability to search address/suburb/postcode and map zoom/drops pin on location We already have: MVP Google Sheet with real data Full GeoJSON suburb boundary file Clear logic and structure We need it rebuilt properly so it is reliable and scalable - currently have 1000 rows of data but needs to be able to scale to around 12,000 Features to build Backend: Reliable Google Sheets sync Safe handling of updates, deletes, and retries Prevent duplicate suburbs and assignments Link suburbs to geometry from GeoJSON Frontend: Map showing suburb coverage - with each suburb having agents n...
I have two georeferenced GeoJSON layers and need them joined by location in ArcGIS using arcpy. The join must follow the Intersect rule—any overlap between features should merge their attributes. The end product I’m after is a single, clean georeferenced dataset that I can drop straight back into my mapping workflow. Here’s what I need from you: • An arcpy script (suitable for ArcGIS Pro or ArcMap 10.x) that reads the two GeoJSON inputs, performs the intersect-based Spatial Join, and writes out the new dataset. • Clear, inline comments so I can tweak field mappings later on. • A brief run-through in the script header or a separate README explaining required libraries, how to execute the code, and where the output will appear. If the la...
I need a clean, lightweight way to display country borders in my existing CesiumJS scene. The goal is a simple visualization: solid-line outlines that sit accurately on the globe with no tooltips or click actions—just clear, precise borders that render efficiently. You can work from a reliable GeoJSON or TopoJSON dataset, or fetch borders through an open-source tileset if that keeps the bundle smaller. Whichever source you choose, please handle the projection and height reference so the outlines hug the terrain correctly without z-fighting. Deliverables • A short, commented JavaScript module (ES6) that plugs into a standard Cesium viewer instance and loads the borders. • Styling set to solid lines, with an easily adjustable color and width parameter. • A...
... You can use the tool to capture screenshots by moving in circles around the selected location. The detector has to work at desert scale, so please build it with an established computer-vision framework (e.g., TensorFlow, PyTorch, YOLO, or a similarly robust model) and output the findings in both human-readable (an image with bounding boxes or a simple web map) and machine-readable form (CSV/GeoJSON with lat/long, time stamp, confidence score). Once I apply the tool to a new location and receive a list of car and truck pictures and coordinates automatically reflected on the map, no manual clicks—I’ll consider the project complete....
...justificada técnicamente), utilizando un conjunto de imágenes proporcionado por mí. El enfoque es académico y aplicado al sector agrícola. Alcance del trabajo Preparación y/o validación del dataset para entrenamiento. Entrenamiento y ajuste fino del modelo de detección. Generación de inferencias sobre nuevas imágenes. Exportación de resultados en formato compatible con SIG (CSV con coordenadas, GeoJSON o shapefile). Documentación básica del flujo de trabajo para poder reproducir el entrenamiento. Entregables esperados Modelo entrenado. Script de entrenamiento e inferencia (Python). Instrucciones de instalación y ejecución (README). Métricas de evaluació...
...clean GeoJSON mask, feeds it—together with my prompt—into an AI model, then returns a layout design image or vector that drops neatly back onto the map in its correct location. Python is preferred for the spatial plumbing (Shapely, GeoPandas, rasterio, etc.) and for orchestrating calls to the chosen generative model. Whether you lean on a large-language model with diffusion, a vector-based generator, or another service is open to discussion as long as it produces an easy-to-read site plan. Deliverables (minimum viable): • OpenLayers front end with draw/select tools and prompt input • Python backend API that receives geometry + text, performs spatial preprocessing, calls AI, and returns the design • Map overlay of the generated layout with basic opa...
...Systems - Strong understanding of graph-based routing - Experience working with directed networks Preferred background - Navigation engines - Logistics / routing systems - Mapping platforms This role is not suitable for someone who has only worked on map visualization or GIS layer analysis without real routing logic. Technologies used - PostgreSQL + PostGIS - pgRouting - Node.js / JavaScript - GeoJSON Notes - I’m open to technical suggestions regarding both tooling and implementation approach. - The API must be fast, with a response time not exceeding 2 seconds. - If this phase is implemented properly and the concept proves solid, there is a strong opportunity to open a dedicated project for the developer to build the routing engine professionally and complete the full ...
...Filterable attendance history with CSV export • Clear installation guide and concise technical documentation Acceptance criteria: location is captured only when a user is within the predefined radius, duplicate entries are prevented, and the attendance history for a 50-student class loads in under two seconds. If you’re comfortable with tools like Node.js, Django, Laravel, PostGIS, or MongoDB GeoJSON, include your preferred stack and timeline in your proposal....
...clean GeoJSON mask, feeds it—together with my prompt—into an AI model, then returns a layout design image or vector that drops neatly back onto the map in its correct location. Python is preferred for the spatial plumbing (Shapely, GeoPandas, rasterio, etc.) and for orchestrating calls to the chosen generative model. Whether you lean on a large-language model with diffusion, a vector-based generator, or another service is open to discussion as long as it produces an easy-to-read site plan. Deliverables (minimum viable): • OpenLayers front end with draw/select tools and prompt input • Python backend API that receives geometry + text, performs spatial preprocessing, calls AI, and returns the design • Map overlay of the generated layout with basic opa...
...receive tax parcel numbers for each county. What I care about most is rock-solid boundary delineation—nothing approximate or generalized. Each parcel line must register cleanly when overlaid on the raw imagery, standing up to a surveyor’s eye. Wherever imagery gaps appear, I expect you to flag them rather than fill them with guesswork. Deliverables (all required): • A GIS-ready layer (Shapefile or GeoJSON) containing every parcel polygon, snapped and topologically clean • An accompanying metadata file that documents methods, imagery dates, and any control points used • A brief QA/QC report listing checks run, error rates, and any parcels that need follow-up ground verification Acceptance criteria: • Parcel boundaries align to visible physica...
...gatekeepers, local registries, or online sources as long as the final count is accurate. Deliverables • A spreadsheet (CSV or XLSX) listing each plot or unit, company name, operational status, and industry type • A concise 2–3-page methodology report highlighting data sources, assumptions, and key findings • A visual summary: either a colour-coded estate map (PDF) or a lightweight GIS layer (KML/GeoJSON) showing occupancy and industry clusters Acceptance Criteria • Every plot on the estate is accounted for—no gaps, no duplicates • Industry labels are applied consistently across the dataset • All files open correctly and match the figures cited in your report If you already handle site audits or GIS field work, this is a foc...
I have a sizable environmental dataset that needs spatial analysis and clear, actionable insights. The files are already organized, but I’m flexible on format—if you prefer Shapefiles, GeoJSON, or even CSV, I can supply the data in whichever structure lets you work most efficiently. Here’s what I’m after: • A thorough spatial analysis that highlights key environmental patterns, anomalies, or correlations. • Visual outputs—maps, charts, or dashboards—that make the findings easy to present to non-technical stakeholders. • A short written summary explaining your methodology, the tools you used (ArcGIS, QGIS, Python/GeoPandas, etc.), and any recommendations that arise from the results. If additional preprocessing or data cleaning ...
...accurate across counties. Scope (Nebraska only): - Set up a PostGIS database - Obtain authoritative Nebraska PLSS quarter-section polygons from government/open sources (CadNSDI / BLM-derived) - Import PLSS data into PostGIS with correct CRS/SRID - Build backend APIs: 1) Search by legal description (quarter, section, township, range) 2) Identify parcel by lat/lng using point-in-polygon - Return GeoJSON (EPSG:4326) to the app - Replace the synthetic grid with backend results in the Expo app - Build and submit the iOS app to TestFlight / App Store Important notes: - Nebraska only (no nationwide expansion) - No owner/tax data required - No offline downloads required - Accuracy is the priority (county, section, quarter must be correct) - PostGIS / GIS experience is required Bud...
...extraction. Given OBJ-based 3D city tiles and building footprint polygons, the script must select the correct tiles, clip the mesh using the footprint polygon, clean the result, and export a compressed GLB. This is a headless pipeline only (no photogrammetry, no rendering/viewer work). The output will later be deployed on AWS. Responsibilities 1) Tile Selection - Read building footprint polygons (GeoJSON). - Transform polygon coordinates to match the mesh CRS using pyproj. - Detect which OBJ tiles intersect the footprint polygon using Shapely. - Support multi-tile selection and merging when a building crosses tile boundaries. 2) Mesh Loading and Merging - Load selected OBJ tiles into a unified mesh using Trimesh. - If multiple tiles are selected, merge into a single Trimesh obj...
I need an experienced GIS professional to turn my existing spatial files—available as Shapefile, GeoJSON and KML—into clear, decision-ready insights. The focus of the project will be agreed together; it may revolve around urban planning questions, transportation network checks or an environmental overlay, so versatility with spatial analysis, geocoding and compelling data visualisation is essential. The work starts with cleaning and validating the layers, continues through the necessary analyses inside ArcGIS or QGIS, and ends with a set of polished maps, an accompanying brief report that explains methods and findings, and all project files so I can reproduce the results later. If you’re ready to dig into the data right away, let me know the tools you prefer,...
I need to pinpoint where in Sri Lanka beauty-care activations will generate the greatest lift. I already have point-of-i...The end goal is a ranked shortlist of DS, GN, or ward-level areas ready for activation, complete with hotspot heatmaps and a concise activation playbook so commercial teams can move quickly. Deliverables • Interactive dashboard (Power BI or Tableau) • Slide-ready report in PowerPoint summarising findings and recommendations • Cleaned and enriched master dataset (CSV) • All spatial layers (GeoJSON) Acceptance criteria: methodology clearly documented, fully reproducible notebooks/scripts provided, and sensitivity checks included so assumptions are transparent. If that sounds like your wheelhouse, let’s explore Sri Lanka’s ...
...section outlining preprocessing, coherence thresholds, phase unwrapping, and any terrain correction applied. • High-resolution JPEG maps (UTM projected) clearly marking every detected anomaly, overlaid with precise GPS coordinates. • A PDF technical report that explains interpretation logic, provides depth estimates, and flags any data limitations or false-positive risks. • A shapefile or GeoJSON of anomaly footprints so I can import them directly into QGIS. Acceptance Criteria Results must resolve deformation signals or signatures consistent with cavities at the requested depth range and tie those signals to specific coordinates inside the 500 sqm boundary. Maps should be sharp at 300 dpi and all spatial layers must align within ±2 m of ground trut...
...voice guiding the viewer through each step—no on-camera presenter or animation required. A calm, well-paced narration is essential because the audience has never used SW Maps before. Please emphasise the fundamentals (creating a project, capturing waypoints, attribute entry, exporting files) and then focus on the simplest workflow for bringing that data into Google Maps, whether through KML/KMZ, GeoJSON, or direct sharing options inside the app. Consider any of delhi road as an example. Deliverables • Full-HD screen-capture video (MP4) with clean voiceover • An accompanying caption or subtitle file (SRT or VTT) for accessibility • Any project files you used (e.g., the sample data set) so we can replicate the demo in future I will supply the corporate ...
...voice guiding the viewer through each step—no on-camera presenter or animation required. A calm, well-paced narration is essential because the audience has never used SW Maps before. Please emphasise the fundamentals (creating a project, capturing waypoints, attribute entry, exporting files) and then focus on the simplest workflow for bringing that data into Google Maps, whether through KML/KMZ, GeoJSON, or direct sharing options inside the app. Consider any of delhi road as an example. Deliverables • Full-HD screen-capture video (MP4) with clean voiceover • An accompanying caption or subtitle file (SRT or VTT) for accessibility • Any project files you used (e.g., the sample data set) so we can replicate the demo in future I will supply the corporate ...
I’m looking to have a bespoke Google Maps implementation that highlights each Delivery Area we deliver to. The map must: • Layer every Delivery Area boundary on to google maps terrain view - Copy the delivery areas from...Maps implementation that highlights each Delivery Area we deliver to. The map must: • Layer every Delivery Area boundary on to google maps terrain view - Copy the delivery areas from the attatchment. The boundaries can be found I believe on Google Maps by typing in the council area e.g. Shropshire - If you’ve previously worked with custom polygons, GeoJSON, KML, or similar on Google Maps, this should be straightforward. Please include a link to a map you’ve built that uses custom shapes or layers so I can see your approach.
...data models • Ingesting and refreshing large GIS and property datasets • Computing parcel-level spatial metrics (distance, overlap, percentages) • Generating derived geometries (buffers, differences, constraint subtraction) • Building JSON / GeoJSON APIs to support map interactions • Integrating backend outputs with ArcGIS for highlighting and overlays • Supporting scalable filtering, selection, and export workflows Required experience: • PostgreSQL + PostGIS • Spatial indexing and geometry operations • Python (FastAPI preferred) or Node.js • GeoJSON-based APIs • Experience integrating backends with ArcGIS or other web mapping platforms Nice to have: • Experience with Mapbox / MapLibre / Leaflet (in case we move...
I need an online GIS map that lets users explore demographic data in an intuitive, visually engaging way. The core goal is data visualization, so the interface must update dynamically when a user pans, zooms, or applies filters. The dataset you will be working with is strictly demographic; the focal layer is a recent survey map that I will supply in GeoJSON. I want to see familiar metrics such as population density, age, and income rendered, but the map must always default to the survey layer so stakeholders can toggle the others on or off as needed. Key tasks • Set up a web-ready map (Leaflet, Mapbox GL JS, or another lightweight JavaScript library you prefer). • Style each demographic attribute with an intuitive legend and smooth, graduated color scales. &bul...
...already have the POI dataset ready to go; what I now need is a React Native specialist who can wire up Mapbox so that the core map experience is production-ready. Your focus will be threefold: • Map view – initialise Mapbox GL in React Native, centre it on the target city, enable smooth zoom/tilt, and keep performance solid on both iOS and Android. • POI markers – ingest my existing JSON/GeoJSON dataset, plot each location with custom icons, and expose a callback so tapping a marker opens a placeholder details pane. • Simple AR mode – switch from the standard map to a basic augmented-reality overlay that places the same POIs in camera view (ViroReact or a comparable Mapbox-compatible approach is fine). On top of that, I’d like the ma...
...). Slider or input box to hide all zips with less than X conversions (so I can instantly see “cold zones”). Zoom-to-fit my data automatically + search box for specific zip codes. Export the current map view as PNG or PDF (for client reports). Tech requirements (any of these is fine): Mapbox GL JS or Leaflet (Mapbox preferred) Real US ZIP code boundaries (you can download the free Census ZCTA GeoJSON and simplify it, or use a hosted tileset) Pure HTML + JavaScript (so I can host it for free on Netlify / Vercel) Or Python Streamlit if you prefer (also fine) Must be 100% offline-capable after the first load (except the map tiles). Deliverables: Complete source code (GitHub repo or zip) 1-click deploy instructions (Netlify/Vercel or Streamlit sharing link) A short 2-m...
...login—one user role only—just enough to keep the data private without the complexity of multiple permission tiers. Once signed in, the user should land straight on the map, filter layers on or off, search, click a feature, and edit its attributes. Please base everything on standard Mapbox GL JS along with a lightweight backend (PostgreSQL/PostGIS, Firebase, or anything comparably proven) so that GeoJSON layers can be queried and updated smoothly. Responsive layout is important; it has to feel as natural on mobile Safari/Chrome as on desktop. Deliverables • Deployed portal URL plus source code repository • Database schema (eight water-utility layers) and migration scripts • Brief admin guide covering user creation, data upload, and layer st...
...NO es público: es un mapa interno del barrio, usado para guiar a vecinos, invitados y proveedores. --- Objetivo del trabajo Dejar el SVG: Georreferenciado (alineado con coordenadas reales del barrio) Estructurado por capas (manzanas, calles, accesos, perímetro) Listo para que el sistema genere todas las casas automáticamente usando nuestras reglas oficiales Exportado como SVG optimizado + GeoJSON o TileLayer compatible con Leaflet --Reglas oficiales de numeración del barrio (muy importantes) Estas reglas ya fueron validadas por el barrio y aplican a TODAS las manzanas: Todas las manzanas empiezan en la MISMA esquina, marcada en el SVG (punto rojo). Esa esquina es SIEMPRE Casa 1. La numeración continúa en sentido horario por el p...
...distance, buffer, etc.) and toggle thematic views such as colour-coded classifications. On top of that analysis layer, the interface must let a visitor highlight specific areas with an on-screen tool (simple polygon / free-hand highlighter). They don’t need to add text or draw arbitrary shapes—just select one or more zones, see the combined stats and optionally export the highlighted geometry to GeoJSON. Key expectations and deliverables • Deploy the shapefile to a performant web stack of your choice (Leaflet, Mapbox GL JS, OpenLayers, or a similar modern framework). • Build an intuitive UI/UX that mirrors the smooth map interaction of , including responsive behaviour on mobile. • Implement the analytical functions and the highlight-area tool, e...
...carefully annotating both satellite and street-level panoramic imagery. The focus for this phase is the precise outlining and tagging of Buildings only; roads, vegetation, and other elements are not part of the brief right now, so every polygon or bounding box you draw must relate to man-made structures. You’ll be working in a web-based labeling environment that exports standard formats (COCO, GeoJSON), so basic software-engineering literacy and an eye for organized file structures will make the hand-off smoother. Familiarity with geospatial concepts—map projections, scale variation between zoom levels, parallax in panoramas—will help you keep labels consistent across different tile sizes and camera angles. When you apply, highlight your relevant experience: p...
I ne...dashboard The system must include a web-based dashboard with: • interactive map (Leaflet / Mapbox / Google Maps) • AI-detected plots displayed as polygons • click to view cadastral information • filters by size, class, confidence level • option to run AI analysis for a selected town or drawn area ⸻ 4. Report generation The system must produce: • CSV/Excel file with full parcel data • GeoJSON export • optional PDF report with: • map snapshots • detected parcels • basic statistics • AI confidence scores ⸻ 5. Technical requirements • Python-based backend • AI/ML or Computer Vision (TensorFlow, PyTorch, YOLO, Detectron, etc.) • GIS libraries (geopandas, shapely, rasterio) • Googl...
...workflow that follows my existing flowchart. • Embed my provided Python code in the relevant n8n Function nodes (or external scripts, if that is cleaner) so the flow can carry out image and pattern analysis as well as generation tasks. • Respect the LLM rules I will share; they govern how prompts are assembled and how results are post-processed. • Accept PNG files as the primary image input and GeoJSON data as an accompanying spatial layer. • Output the processed results to the destinations specified in the template (currently a local directory and a webhook endpoint). Key expectations – Nodes are clearly named, commented, and logically grouped. – Any environment variables or credentials are surfaced through n8n’s built-in creden...
...format and need to be downloaded, unzipped, and parsed in Python using tools like laspy, PDAL, or Open3D. Expected Outputs • Python function or script that returns: Total window surface area in m² per wall (grouped by azimuth). Optional: visualization (e.g., using Open3D or Matplotlib) for debugging or verification. • Clean, well-commented, modular Python code. • (Bonus) Export to GeoJSON, CSV, or similar. Required Skills • Experience working with LiDAR point clouds (especially .las, .laz) and building detection. • Strong Python programming. • Familiar with tools/libraries like: laspy, Open3D, PDAL, scikit-learn, numpy, matplotlib (Optional) LAStools, PCL, CloudCompare • Knowledge of geospatial concepts (CRS...
...description) that can be clicked or toggled on the map The finished product should open cleanly in Google Maps or Google My Maps and be exportable as KML/KMZ and GeoJSON for any future GIS work. Accuracy must line up with the Harris County GIS base to within a few feet, so please handle georeferencing of the scanned plat before vectorizing. Deliverables 1. Georeferenced subdivision boundary and 19 lot polygons 2. Address points matched to USPS format and visible on the map 3. Embedded attributes (parcel ID, lot size, legal text) in the feature table 4. Shareable Google Maps URL plus downloadable KML/KMZ and GeoJSON files 5. Quick “how-to” note on editing or adding new attributes later I’m ready to supply the plat file and any legal descri...
I deliver verified, location-specific environmental datasets compiled from NOAA, USGS, EPA, and NASA sources. Each dataset includes rainfall, flood, and temperature metrics formatted for AI, GIS, and compliance workflows. Deliverables: • Historical datasets (past decade, daily resolution) • Live or refreshed data feeds (hourly or daily updates) • GeoJSON, CSV, and XLSX layers organized by metric and date • Metadata file with retrieval dates, URLs, and schema definitions • Ready for integration into Google Earth, Cesium, or SWPPP reporting tools All files are cross-referenced, timestamped, and validated for compliance reporting, modeling, and visualization.
...transmission-line corridors, official earthquake hazard zones, government flooding extents, residential settlement footprints, and up-to-date land-use classifications (forestry, agricultural, etc.). The end result should allow me to zoom to any coordinate, see a clear colour-coded suitability view, query individual layers for exact distances or risk scores, and export the findings (shapefile, GeoJSON or CSV) for use in external financial models. Because regulations and infrastructure change, I also want simple instructions so I can swap in fresh datasets without rebuilding the whole project. You are free to build in QGIS, ArcGIS Pro + ArcGIS Online, or a Leaflet / Mapbox-based web app—whichever delivers smooth performance and easy layer control—but please make s...
I have a set of GeoJSON files that describe roads and related features. Before I can plug them into my application, they must be cleaned, organised, and then exposed through Directus as a consumable API. Data preparation The files need duplicate features removed, a single standard coordinate system applied (WGS-84 is ideal), and all geometries validated so every layer is ready for publishing. I normally work with QGIS and PostGIS, so feel free to lean on those or similar open-source tools. Publishing Directus is my first choice. Once the data is loaded, I’ll need REST endpoints (GraphQL is a bonus) that my dev team can query immediately. If Directus proves limiting, we can discuss Supabase or QGIS Server, but start with Directus. Budget & schedule I have roughly A...
We are seeking an experienced Python developer to build a robust, automated software for detecting building footprints from satellite imagery. The goal is to create a pipeline that takes a user's Area of Interest (AOI) and a reference date, and in response, generates a detailed GeoJSON file of all detected building footprints. This solution will leverage super-resolved Sentinel-2 imagery. The workflow will involve processing a cloud-free image composite, applying a super-resolution model, and then running a deep learning model for the core detection task. A key part of this project is the integration of existing Python software components (which will be provided) for cloud-free image generation and super-resolution. The selected freelancer will be responsible for building the...
...system are already implemented — the goal is to complete the Laravel backend, integrate it with the frontend and finish it, and deliver a working MVP ready for App Store / Play Store release within 4 weeks. (The 80% of the frontend it is already developed) -- Scope Finalize Laravel API: authentication (Sanctum + JWT), topics, exams, payments (Stripe), notifications (Firebase). Implement GeoJSON support and map data import (Nominatim + Overpass). Integrate backend with existing React frontend (login, topics, exam, payments, notifications). Build full Postman collection + automated tests. Configure GitLab CI/CD for deployment (staging → production). Prepare production build (cPanel + SSL) and documentation. -- Tech Stack Laravel 11 · MyS...
I’m preparing an environmental-governance paper on the 2019 dry-season crisis in the Lower Mekong (northern Thailand, Lao PDR, Cambodia) and need a polished, publication-ready map produced in QGIS. You’ll receive curated GeoJSON layers for PM₂.₅ and hydrological gauges, plus references outlining threshold values: concentrations above 100 µg/m³ and river discharge below 80 % of reference flow during March–April 2019. Your part is to: • integrate the supplied datasets in QGIS, • run the necessary geoprocessing to isolate the overlap zone where both thresholds are exceeded, • calculate an approximate population count for that zone (your preferred population raster or vector source is fine—just cite it), • design a clear, st...
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I need a high-detail administrative boundary for Udaipur Municipal Corporation delivered as a clean, ready-to-use Shapefile. Accuracy matters: the geometry should align with the latest official limits. Send the file along with a brief note on the date it was last updated. If you already have the layer in hand, this can be a quick turnaround job. Fu...matters: the geometry should align with the latest official limits. Send the file along with a brief note on the date it was last updated. If you already have the layer in hand, this can be a quick turnaround job. Future layers such as roads, wards, or land-use may follow, so organising the attribute table logically now will save us both time later. Deliverable: • One file in .shp, .kml, or .geojson, validated and free of geo...
...mini-track. Suunto Rely on Suunto App SDK. Equivalent UI (sector/gaps/colors, REC flag). Recording mode; send points back to mobile. Offload heavy calc to mobile/backend. Polar Similar approach via Polar SDK: Watch shows gaps/colors/REC; mobile handles projection and gaps. 3) Technical Architecture Backend Node.js + Express (REST) + WebSocket/MQTT. Database: Postgres + PostGIS or MongoDB (GeoJSON). Redis Pub/Sub for real-time fan-out. Services: auth & subscriptions, event codes, route CRUD, telemetry ingest, gaps/records/cheat detection, notifications. API contracts POST /positions: { event_id, user_id, ts, lat, lon, s?, v? }. GET /events/:id/status: { leader_gap, chaser_gap, sector_color, flags }. POST /circuits: { name, polyline, sectors }. POST /recorded:...
...underlying REST, WFS, or tiled-JSON calls rather than screen scraping. I will use the resulting dataset in two ways: first, to overlay zoning classifications on my own web map, and second, to feed the same information into an internal application that cross-references parcels with permit data. To keep that workflow simple, please structure the JSON so each feature carries its geometry (preferably in GeoJSON format) along with all attribute fields returned by the service. Key points I care about • Full coverage of every zoning polygon found on the site, with no geometry errors. • Output delivered as a single JSON file (or compressed archive if size requires). • A repeatable script or notebook in Python, Node, or another language of your choice so I can ref...
I need a small, reliable scraper that pulls the GIS (JSON/GeoJSON) layers showing every district (quartiere/municipio) for each of Italy’s major cities from a well-known real-estate website. The site exposes its map tiles through client-side calls, so the script will have to locate the endpoint that serves the district geometry and capture the full polygon data—not just centre-points. My ideal workflow is straightforward: run the script once, get a single GeoJSON file (or separate files per city) containing the district name, the geometry, and any internal ID the site already provides. Python with requests + aiohttp, pandas, or similar would be perfect, but I am open to another language if it achieves the same clean result and is easy for me to rerun later. ...
