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English
$
USD
I will perform temporal analysis and remote sensing using google earth engine
Spatial Data Scientist, GIS Developer, GEE Dashboards , Python
Hi! I’m a Spatial Software Engineer with 5+ years of experience in turning complex geographic data into strategic business insights. I specialize in Google Earth Engine (GEE), Python Automation, ArcPy...
About this Gig
Are you looking to process planetary-scale satellite imagery, analyze climate trends, or track land-use changes over time? Do you need automated remote sensing pipelines that handle massive datasets seamlessly? You are in the right place!
I am a professional Spatial Data Scientist and GIS Developer with over 5 years of industry experience and $12,000+ in delivered spatial projects. I specialize in utilizing Google Earth Engine (GEE) via JavaScript and Python API to turn complex temporal datasets into high-precision, actionable insights.
WHAT I CAN BUILD FOR YOU:
- Temporal & Time-Series Analysis: Multi-temporal index tracking (NDVI/EVI/NDWI), vegetation dynamics, and anomaly detection.
- Advanced Crop Mapping: Detailed time-series classification for specific crop varieties (e.g., Basmati rice vs. non-Basmati).
- Environmental Change Detection: LULC mapping, glacier dynamics/recession tracking, and hazard zonation.
- Custom GEE Web Apps: Deploying interactive cloud-based dashboards for spatial visualization.
Please contact me before placing an order to discuss your study area boundary!
Programming language:
Python
•
SQL
•
Other
Frameworks:
Scikit-learn
•
Other
APIs:
Other
Tools:
Jupyter Notebook
•
Colab
•
Other
My Portfolio
FAQ
Do I need a Google Earth Engine account to run your scripts?
Yes, you will need a free Google Earth Engine account to open and run scripts in the GEE Code Editor. If you don't have one, I can guide you through the quick sign-up process.
Will you provide the final JavaScript/Python code?
Absolutely! You will receive full access to the well-commented source code, repository links, and any exported assets (like GeoTIFFs, shapefiles, or CSV charts) generated during the temporal analysis.
Can you handle advanced machine learning classification inside GEE?
Yes. I implement robust pixel-based and object-based machine learning classifiers within GEE, including Random Forest (RF), Support Vector Machines (SVM), and Classification and Regression Trees (CART) for precise LULC and crop mapping.
Can you build a public interactive app or dashboard?
Yes! With the Premium package, I can build and deploy a custom Google Earth Engine Web App. This allows your clients or stakeholders to interact with your time-series analysis and charts directly through a web link without needing a GEE account.
