Deforestation Monitoring of Smallholder Cocoa Farms with Google Earth Engine
Challenge Background
Tropical forests play a crucial role in tackling climate change, protecting biodiversity, and ensuring ecosystem services hence helping in the achievement of agricultural sustainability. There is therefore the need to perform a deforestation risk assessment of all smallholder cocoa farms with regard to international certification standards in order to help these farmers get support in terms of premiums to increase their income.
The Problem
Deforestation and land degradation has been on the ascendency for the past 10 years which is affecting cocoa productivity, a major economic cash crop in Ghana and also the environment as a whole due to activities of artisanal small scale miners and also expansion of farm lands by farmers.
Goal of the Project
- Determine land areas inside smallholder farmers affected by deforestation since 2014 percentage of farmlands affected by deforestation.
- Suggest the number of shade trees to be planted for restoration efforts.
- Determine the amount of carbon emissions caused by the deforestation.
Project Timeline
Project preparation and brainstorming
Data collection and Editing of small holder farmers polygons
Introduction to google earth engine
Actual project code implementation
Analysis of project outcomes
Creation of Dashboards
Final presentation of results
What you'll learn
Google earth engine, JavaScript and python, remote sensing
First Omdena Local Chapter Project?
Beginner-friendly, but also welcomes experts
Education-focused
Duration: 4 to 8 weeks
Open-source
Your Benefits
Address a significant real-world problem with your skills
Build your project portfolio
Access paid projects (as an Omdena Top Talent)
Get hired at top organizations
Requirements
Good English
Suitable for AI/ Data Science beginners but also more senior collaborators
Learning mindset
Application Form
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