Annual continuous fields of woody vegetation structure in the Lower Mekong region from 2000‐2017 Landsat time-series.
Published in Remote Sensing of Environment, 2019
Spatially and temporally consistent vegetation structure time-series have great potential to improve the capacity for national land cover monitoring, to reduce latency and cost of international reporting, and to harmonize regional land cover characterizations. Here we present a semi-automatic, operational algorithm for mapping and monitoring of woody vegetation canopy cover and height at a regional scale using freely available Landsat time- series data. The presented algorithm employs automatic data processing and mapping using a set of lidar-based vegetation structure prediction models.
Recommended citation: Potapov, P., A. Tyukavina, S. Turubanova, Y. Talero, A. Hernandez-Serna, M. C. Hansen, D. Saah et al. "Annual continuous fields of woody vegetation structure in the Lower Mekong region from 2000‐2017 Landsat time-series." Remote Sensing of Environment 232 (2019): 111278.
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