You will get a Python Script that analyzes satellite imagery in Google Earth Engine
Top Rated
You will get a Python Script that analyzes satellite imagery in Google Earth Engine
Top Rated
Project details
You will get a Python Script that automates Land Cover change detection analysis in an area using Satellite imagery and high quality maps and graphs that show the changes. With over 8 years as a GIS and Remote Sensing Analyst and 2+ years as a Machine Learning professional, I can take your company's spatial data analytics to the next level by incorporating machine learning to your workflows using PyTorch and Fast.ai. The work I do is 100% original and high quality and can be implemented in ArcGIS Pro, Google Colab or Google Earth Engine to take advantage of the petabyte scale satellite images hosted by google.
What's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | 4 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - |
Frequently asked questions
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CB
Carolina B.
Aug 20, 2024
Find_beginning Time of formation and plot it
Excellent work and extremely proficient in anything python.
CR
Cyrus R.
Jul 10, 2024
Back-End Development for Generative AI Project
One of the best people I've worked with in any discipline and any capacity. John is the ultimate team player and is so knowledgable. He single-handedly set up all our cloud environments and built our backend data structures to scale into any use case we need. He's a superhero
JN
Janice N.
Feb 23, 2024
30 minute consultation
JW
Jim W.
Feb 8, 2023
ArgGIS Pro Expert Needed For LiDAR Data Mapping Project
FL
Francois L.
Jan 16, 2023
Streamlit with Postgresql and DataGrid Display
John was a pleasure to work with on with stream-lit. They demonstrated a strong understanding of [specific technical skills or programming languages required for the project, and were able to quickly and effectively implement the necessary changes to our codebase.
In addition, John was excellent at communicating progress and addressing any issues that arose during the project. They were responsive and easy to work with, which made the project run smoothly.
Overall, I would highly recommend John for any future projects and look forward to the opportunity to work with them again.
In addition, John was excellent at communicating progress and addressing any issues that arose during the project. They were responsive and easy to work with, which made the project run smoothly.
Overall, I would highly recommend John for any future projects and look forward to the opportunity to work with them again.
About John
Expert Vetted AI Engineer: Creating AI, GIS, and Cloud Solutions
100%
Job Success
Nairobi, Kenya - 7:55 pm local time
🚀 Pioneering with Generative AI and Customized AI Solutions
📊 Advanced AI Engineering:
Deep proficiency in cutting-edge AI technologies propels my work, especially in the realms of Generative AI. Leveraging frameworks like PyTorch and tools within Vertex AI, I develop systems capable of producing new, valuable content, from textual narratives to predictive models that anticipate your operational needs.
📊 Customizing Large Language Models (LLMs):
My expertise extends to tailoring LLMs, such as GPT and Gemini, using tools like Langchain, Llama Index, Weaviate, and Pinecone. This enables highly specialized, context-aware AI solutions that can interact, analyze, and generate insights from custom datasets, offering unparalleled precision in decision-making and automation.
📊 Geospatial Mastery:
I leverage GIS technologies and tools like the Esri ArcGIS ecosystem and Google Earth Engine to bridge the gap between AI and location intelligence and deliver comprehensive spatial analyses. This unique skill set brings a spatial dimension to AI-driven insights, unveiling the 'where' alongside the 'what' and 'why'.
📊 Google Cloud Platform Expertise:
As a cornerstone of my technological stack, GCP (including Cloud Run, BigQuery, App Engine, and Vertex AI) provides the infrastructure necessary for deploying scalable and efficient AI and data solutions. This platform supports everything from data engineering to AI model deployment, ensuring your projects are built on a robust, cloud-native foundation.
📊 Python Development and Data Visualization:
My approach integrates Python's vast backend development and data presentation capabilities, employing frameworks like Django and Fast API for application development alongside Google Data Studio and Plotly for transformative data visualization. This dual capability ensures that insights generated by AI are not only understood but are also actionable.
🌐 Integrating AI, Data, and DevOps
📊 Strategic Data Engineering:
I engineer and manage sophisticated data pipelines that feed into Generative AI models, ensuring a seamless flow of information crucial for generating accurate and relevant outputs. Utilizing Google Cloud's data management tools, I ensure your data is primed for AI transformation.
📊 Applying DevOps for AI:
I merge AI development with DevOps and SRE principles, emphasizing automation, monitoring, and continuous delivery. This enables rapid yet reliable deployment of AI-driven applications. This integration ensures that AI innovations are delivered swiftly and optimally in production environments.
🌟 Collaborating Towards Revolutionary Outcomes
Your vision for leveraging AI is within reach. My role is to be your guide and collaborator, transforming complex ambitions into tangible, innovative solutions. By merging artful Generative AI with precise spatial analytics and robust cloud engineering, we can unlock new dimensions of insights and capabilities for your projects.
👉 Eager to Explore the Boundless Possibilities of AI and Geospatial Innovation? Let's connect and chart a course toward a future shaped by insightful, AI-driven solutions.
Steps for completing your project
After purchasing the project, send requirements so John can start the project.
Delivery time starts when John receives requirements from you.
John works on your project following the steps below.
Revisions may occur after the delivery date.
Gather the project requirements and Area of Study
Define the study area and understand the research questions that the analysis is supposed to answer. Identify the datasets that needs to be analyzed and the potential methods of analysis that can be applied.
Create Outline of the Analysis and the Training Classes
Generate the training classes that needs to be fed into a machine learning model as shapefiles or geojson. Deliver the classes together with outline of the upcoming analysis steps.