19 June 2017

Using multi-seasonal Landsat imagery for rapid identification of abandoned land in areas affected by urban sprawl


We present a Landsat-based method for mapping abandoned land in heterogeneous and fragmented urban landscapes.
The method makes use of NDVI values and decision trees.
Vegetation phenology is accounted for indetermining which period of the growing season fits best for mapping.
Scenes encompassing the beginning of the vegetation growing season enhance classification accuracy.
Monitoring land abandonment and urban sprawl can support evaluation of land-use regulations and planning strategies.