Authors: Gargi Chaudhuri*, University of Wisconsin La Crosse, Niti B. Mishra, University of Wisconsin La Crosse, Kumar P. Mainali, University of Maryland College Park
Topics: Urban Geography, Remote Sensing, Land Use and Land Cover Change
Keywords: India, Urban, BFAST, Change Detection
Session Type: Poster
Start / End Time: 1:20 PM / 3:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded
Delhi National Capital Region is one of the fastest growing megacities in the world. The aim of this study is to map spatio-temporal changes of land cover in the Delhi National Capital Region, India. The breaks for additive seasonal and trend (BFAST) method is an automatic and robust tool to derive the timing and locations of land cover changes from spatio-temporal datasets. It has been successfully applied to map and analyze vegetation and agricultural changes worldwide. For this study, BFAST method was used to analyze urban expansion, with NDVI time series calculated from MODIS (MOD09A1 product) during the period 2000–2017. This study demonstrates that BFAST is an effective method for monitoring urban expansion.