A Spark-based platform to extract phenological information from satellite images

摘要

Phenology is the study of periodic plant and animal life cycle events and how these are influenced by seasonal and inter-annual variations in weather and climate, as well as in other environmental factors. Time series of remote sensing (RS) images can be used to characterize land surface phenology at continental to global scales. For this, the RS images are typically transformed into various vegetation indices (VI) such as the normalized difference vegetation index (NDVI) or the enhanced vegetation index (EVI). These indices can then be used to extract various phenological metrics.