Case study site: Southern Taiga - Siberia

Mapping forest stability within major biomes using MODIS time series

Forest stability is a key component of ecosystem integrity and primary forests. Current remote sensing products largely focus on deforestation rather than forest degradation, and depend on machine learning calibrated with extensive field measurements. To address this, we used MODIS time series to develop a novel approach for mapping forest stability across forest biomes.

Forest stability is a key component of ecosystem integrity and primary forests. Current remote sensing products largely focus on deforestation rather than forest degradation, and depend on machine learning calibrated with extensive field measurements. To address this, we used MODIS time series to develop a novel approach for mapping forest stability across forest biomes.

Fire and logging threats to primary forests in central Siberia

Using remote sensing time series, we found increasing trends in fire and logging disturbances in primary forests of the Angara case study region. We also found large increases in fires closer to human settlements, roads, and logged sites.

Using remote sensing time series, we found increasing trends in fire and logging disturbances in primary forests of the Angara case study region. We also found large increases in fires closer to human settlements, roads, and logged sites.