Assessing Elevation-Based Forest Dynamics over Space and Time toward REDD+ MRV in Upland Myanmar

Implementation of a measuring, reporting, and verifying (MRV) framework is essential for reducing emissions from deforestation forest degradation (REDD+). According to the United Nations Framework Convention on Climate Change, MRV can be regarded as an important mechanism mitigate global warming. Upland Myanmar, with elevation ~80–2600 m, experiencing tropical deforestation, which commonly explained by expansion shifting cultivation. The vegetation change tracker algorithm, its high-automation wild-adaptation features, enhanced integrated z-score were applied in this elevation-based study time series monitoring upland Myanmar using data 2003 2015. Four spatial patterns namely stripes, adjacent, filled, staggered, found research area. Moreover, our work showed that center was ~1000 m. Further analysis revealed tended shift higher over time; “golden cross”/changeover could deciphered at indicating scale intensity cultivation continue expand vertically. results suggest need track signature clearings help achieve goals REDD+ regional level rainforest countries.