Detection of Land Cover Change Using an Artificial Neural Network Within a Temporal Sliding Windowon Modis Time Series Data

The paper introduces an Artificial Neural Network (ANN) operating on a sliding window over time for detecting land cover class changes. If a class change is detected, then change detection has been accomplished. The ANN is presented as well as experimental results usingMODIS time-series data derived from 8-day 500m MODIS [MOD09] composite images in two study areas in Southern Africa. The method is supervised, i.e. it assumes training data is available, but after training it is able to detect change on testing data not seen before.