MONITORING FOREST DEGRADATION FOR A CASE STUDY IN CAMBODIA: COMPARISON OF LANDSAT 8 AND SENTINEL-2 IMAGERY

摘要

We use a Normalized Burned Ratio (NBR) differentialrnapproach for detecting forest canopy disturbance causedrnby selective logging in evergreen tropical moist forestsrnof central Cambodia. The general disturbance patternrnobtained from Landsat 8 (30 m) imagery is largelyrncompatible to Sentinel-2 (10 m), showing goodrnconformity to high resolution RapidEye reference data.rnHowever, the 10 m spatial resolution of Sentinel-2rnprovides notably higher spatial detail and purer pixelrnvalues, increasing the potential for detecting fine andrnsubtle forest canopy changes as indicators for potentialrnforest degradation. We can expect further improvementrnfor detecting short-lived disturbance signals in tropicalrnforest canopies due to an increased revisit frequency (5rndays) after the Sentinel-2B launch.