Large-scale, Multi-temporal Remote Sensing of Palaeo-river Networks: A Case Study from Northwest India and its Implications for the Indus Civilisation

Hector Orengo & Cameron Petrie
Remote sensing has considerable potential to contribute to the identification and reconstruction of lost hydrological systems and networks. Remote sensing-based reconstructions of palaeo-river networks have commonly employed single or limited time-span imagery, which limits their capacity to identify features in complex and varied landscape contexts. This paper presents a seasonal multi-temporal approach to the detection of palaeo-rivers over large areas based on long-term vegetation dynamics and spectral decomposition techniques. The use of multi-temporal data has...
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