Biomass
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0 tCO₂e/ha
884 tCO₂e/ha
10m resolution biomass for a protected area in Southeast Asia, with patchwork deforestation.
Leaftime
Scientific and technical consulting for natural climate solutions projects, using remote sensing and machine learning
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Fire Return Interval
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1 yr (higher risk)
22 yrs or longer (lower risk)
Fire return interval (average years between fires) for a carbon project in Africa, quantifying natural risk.
Services & Methodologies
Leaftime provides scientific and technical consulting for natural climate solutions projects, combining satellite remote sensing, machine learning, and deep methodology expertise. Services include pre-feasibility assessment, feasibility analysis, project description document (PD) writing, and digital MRV (monitoring, reporting, and verification). Methodology experience includes Verra VM0047 (ARR) and VM0048 (REDD), Plan Vivo PM001, Gold Standard A/R Methodology, and others.
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About
Leaftime is a sole proprietorship owned by Stephen Klosterman.
Stephen Klosterman
Stephen received his PhD in Organismic and Evolutionary Biology from Harvard University and published several highly-cited papers in the fields of remote sensing, leaf lifecycles (phenology), and the forest carbon cycle (Google Scholar). He was the founding scientist at Earthshot Labs and science and technology lead at TIST. He has also held senior data science positions in healthcare and fintech, bringing expertise in causal inference and production machine learning to the natural climate solutions space. He is the author of a book on Data Science Projects with Python.
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