Determining carbon abatement cost through the integration of remotely sensed land cover observations and biogeochemical model

This paper estimates the economic returns of carbon abatement through biological sequestration in the forests of Nepal under future REDD policy. Using sequential remotely sensed land cover observations and a biogeochemical model, this paper attempts to estimate the contemporary and future ecosystem carbon trends. The paper applies the General Ensemble Biogeochemical Modeling System (GEMS) and examines how effective carbon sequestration can be through a sustainable forest management approach. This study uses a case example of the Bara district of Nepal for the period of 1970-2010.