You will get an entire WebGIS MVP deployed and running over the internet.
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Top Rated
Project details
I'll deliver you a beautiful WebGIS, where you will be able to access your GIS datasets on a web page. You can receive an entire application, like an entire MVP for your project, or you can just have a single page to visualize this. I Also, I can also prepare everything from creating the codes to deploying this in a specific URL you have.
Programming Languages
PythonCoding Expertise
LocalizationWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 60 days |
Number of Revisions | 1 | 3 | 5 |
Number of Pages | 1 | 5 | 20 |
Design Customization | |||
Content Upload | - | ||
Responsive Design | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1,000 - $5,000
Additional Page
(+ 7 Days)
+$500
Content Upload
(+ 7 Days)
+$1,000
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DS
David S.
Jan 27, 2026
60 minute consultation
DA
Dina A.
Nov 5, 2025
Land Cover Analysis with Deep Learning
Great experience working with Felipe. He's skilled, responsive and reliable. Would definitely hire again.
KT
Koko T.
Mar 28, 2025
Developer GeoPortal
Nd
Nicolas d.
Jun 1, 2024
Vision Language Model (VLM) for brazilian market
Excelente working with Felipe, he was very quick and always available. Will work with him in the future.
DA
Dina A.
Feb 19, 2024
Deep learning for mapping deforestation and change analysis
I highly recommend Felipe for any project requiring expertise in remote sensing imagery. He consistently delivered every milestone on time and was always available for communication and adjustments when needed. His professionalism and reliability stand out, and I will certainly choose him again for my next project
About Felipe Matheus
GIS/Remote Sensing Specialist, Python programming and data analysis
100%
Job Success
Sao Lourenco do Oeste, Brazil - 11:12 am local time
I'm a Geospatial Data Engineer with 8+ years of experience building scalable geospatial pipelines, AI models, and WebGIS applications.
I specialize in turning raw geospatial data (satellite, UAV, vector) into automated, production-ready systems — from data ingestion to analysis, APIs, and visualization.
I’ve worked across forestry, environmental monitoring, and custom client solutions, delivering tools that reduce manual work and enable real decision-making.
What I do best:
Remote Sensing & Geospatial Processing
- End-to-end pipelines using Sentinel, Landsat, UAV imagery
- Large-scale raster processing (GDAL, Rasterio, Numpy)
- Change detection, NDVI workflows, land monitoring
- Experience with STAC APIs and satellite data automation
Data Engineering for Geospatial
- Building ETL pipelines for spatial data (Python, Pandas, SQL)
- PostgreSQL/PostGIS schema design and optimization
- Automated workflows replacing manual GIS tasks
- Handling large datasets efficiently (cloud + local processing)
AI for Geospatial Applications
- Semantic segmentation (land cover, deforestation, etc.)
- Object detection (ships, wind turbines, infrastructure)
- Custom computer vision models using PyTorch
- Applied ML (Scikit-learn, OpenCV)
WebGIS & Backend Development
- FastAPI / Django backend development
- Building REST APIs for geospatial systems
- Interactive maps (Leaflet, MapLibre)
- GeoServer and spatial services integration
Cloud & Deployment
- AWS (EC2, S3, Lambda)
- Dockerized applications
- Deploying scalable geospatial systems
- Selected Experience
- Built automated pipelines for satellite data processing and analysis
- Developed WebGIS platforms for real-time geospatial visualization
- Created AI models for environmental monitoring and object detection
- Delivered custom ETL solutions integrating complex spatial datasets
Why clients hire me?
I don’t just “analyze maps” — I build complete geospatial systems.
My focus is always:
- Automation (less manual GIS work)
- Scalability (ready for real-world data)
- Clean, maintainable code
If you need someone who can go from raw geospatial data → production system, let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Felipe Matheus can start the project.
Delivery time starts when Felipe Matheus receives requirements from you.
Felipe Matheus works on your project following the steps below.
Revisions may occur after the delivery date.
Understand your proposal
I need to know what kind of dataset I'm dealing with, where I will access this, and what you'd like to do with this (process, edit, visualize, etc...).
Create all the codes
With the initial information I can create all the codes, I'll use python in the backend and if needed, react in the frontend.