WE PROPOSE TO DEVELOP AN ALGORITHM FOR MAPPING AND CHARACTERIZING HUMAN ACTIVITY CHANGES BASED ON NASA DAILY LEVEL-3 LUNAR BRDF-ADJUSTED NIGHTTIME LIGHT BLACK MARBLE PRODUCT SUITE (VNP46) (ROMAN ET AL. 2018). WE WILL CREATE CHANGE PRODUCTS TO CHARACTERIZE THE NIGHTTIME LIGHT DYNAMICS. A TOTAL OF FOUR CHANGE LAYERS WILL BE PROVIDED INCLUDING TWO LAYERS FOR ABRUPT SHORT-TERM CHANGES (E.G. TIMING OF CHANGE AND MAGNITUDE OF CHANGE) AND TWO LAYERS FOR GRADUAL CHANGES (E.G. TRENDS OF CHANGE AND DURATION OF CHANGE). TIME SERIES TECHNIQUES SIMILAR AS THE CONTINUOUS CHANGE DETECTION AND CLASSIFICATION (CCDC) (ZHU AND WOODCOCK 2014) WILL BE USED AS OUR PRIMARY APPROACH TO MODEL NIGHTTIME LIGHT DYNAMICS AND IDENTIFY SHORT-TERM AND LONG-TERM HUMAN ACTIVITY CHANGES.

University Of Connecticut, Storrs CT

Investigators