[HTML][HTML] Mapping tropical disturbed forests using multi-decadal 30 m optical satellite imagery
Tropical disturbed forests play an important role in global carbon sequestration due to their
rapid post-disturbance biomass accumulation rates. However, the accurate estimation of the
carbon sequestration capacity of disturbed forests is still challenging due to large
uncertainties in their spatial distribution. Using Google Earth Engine (GEE), we developed a
novel approach to map cumulative disturbed forest areas based on the 27-year time-series
of Landsat surface reflectance imagery. This approach integrates single date features with …
rapid post-disturbance biomass accumulation rates. However, the accurate estimation of the
carbon sequestration capacity of disturbed forests is still challenging due to large
uncertainties in their spatial distribution. Using Google Earth Engine (GEE), we developed a
novel approach to map cumulative disturbed forest areas based on the 27-year time-series
of Landsat surface reflectance imagery. This approach integrates single date features with …
Mapping tropical disturbed forests using multi-decadal 30 m optical satellite imagery.
WYX Wang YunXia, G Ziv, M Adami, E Mitchard… - 2019 - cabidigitallibrary.org
Tropical disturbed forests play an important role in global carbon sequestration due to their
rapid post-disturbance biomass accumulation rates. However, the accurate estimation of the
carbon sequestration capacity of disturbed forests is still challenging due to large
uncertainties in their spatial distribution. Using Google Earth Engine (GEE), we developed a
novel approach to map cumulative disturbed forest areas based on the 27-year time-series
of Landsat surface reflectance imagery. This approach integrates single date features with …
rapid post-disturbance biomass accumulation rates. However, the accurate estimation of the
carbon sequestration capacity of disturbed forests is still challenging due to large
uncertainties in their spatial distribution. Using Google Earth Engine (GEE), we developed a
novel approach to map cumulative disturbed forest areas based on the 27-year time-series
of Landsat surface reflectance imagery. This approach integrates single date features with …