A framework for radiometric sensitivity evaluation of medium resolution remote sensing time series data to built-up land cover change

Medium resolution remote sensing data such as Landsat imagery and its analysis are heavily affected by the mixed pixel problem especially in regions of heterogeneous, spatially dispersed land cover such as peri-urban environments. However, this data is often the only available temporally consistent data source for multi-temporal applications that cover time periods prior to 2000. For this reason, knowledge of the radiometric sensitivity of such data with respect to the analyzed phenomenon and the inherent uncertainty of the data across time would be useful to improve such applications. In this study, we propose a framework for the evaluation of multi-temporal radiometric sensitivity of Landsat time series data to the presence of, or changes in built-up land cover. In this experiment we use publicly available integrated cadastral and building footprint data to create multi-temporal sub-pixel built-up area estimates as a reference to carry out such an evaluation.

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