I will do forest carbon mrv and deforestation analysis


About this gig
FOREST CARBON ANALYSIS USING GOOGLE EARTH ENGINE
I deliver forest carbon stock estimates, deforestation analysis, and
emissions assessments for any forested area in the world using the same
satellite datasets that REDD+ projects, NGOs, and academic researchers use.
WHAT YOU GET
- Annual forest loss area (hectares per year)
- Aboveground biomass and carbon stock estimates (Mg / ha)
- CO emissions from forest loss (Mg CO)
- Per-hectare emission factor (Mg CO / ha)
- Carbon market value translation ($/tCO, optional)
- Clean, publication-ready charts and maps
- Raw data export (CSV) for your own use
️ DATASETS I USE
- Hansen Global Forest Change (30 m, annual loss 20012023)
- ESA CCI Biomass v6.0 (100 m, aboveground biomass)
- WDPA protected area boundaries (when relevant)
- IPCC Tier 1 default factors (carbon fraction 0.47, CO ratio 44/12)
All datasets are peer-reviewed, publicly available, and standard in the
carbon and conservation sector.
WHO THIS IS FOR
- Master's & PhD students working on forestry, ecology, climate
- NGOs and conservation groups needing baseline numbers for proposals
- Sustainability consultants supporting clients on forest impact
- Journalists and researchers
Get to know Reda T.
Precise, Fast and Respect
- FromMorocco
- Member sinceOct 2018
- Avg. response time1 hour
- Last delivery6 months
Languages
English, Arabic, French, Spanish
My Portfolio
Other Data Visualization Services I Offer
FAQ
Can you cover any country or only specific regions?
Anywhere on Earth. Hansen and ESA CCI Biomass are global datasets. The methodology is the same whether the AOI is in the Amazon, the Congo Basin, Borneo, or boreal Russia.
I don't have a shapefile — can I still order?
Yes. I can pull the boundary from public sources (WDPA for protected areas, GAUL for administrative boundaries) or work from coordinates / a description / a polygon you draw on a map.
How accurate are the carbon numbers?
The methodology uses peer-reviewed global datasets (Hansen GFC, ESA CCI Biomass) and IPCC default factors. This is the same approach used in published research and many REDD+ project baselines. Like all remote-sensing-based estimates, results have uncertainty — typically ±20–30% on biomass. I includ
Can you deliver this faster?
Yes — 24-hour delivery is available as an extra ($+25). Quality stays the same; I just prioritize your job.
Will I get the underlying GEE code?
Source code isn't included by default. It's available as a $40 add-on if you want to re-run or modify the analysis yourself.

