Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Two landuse maps and a forest map of three different areas in Europe re completed with ERS SAR interferometry. The test sites represent various geomorphological regions with different cover types. In this article, the mapping algorithms are presented, the results are summarized, and the potential and limitations of ERS SAR interferometry for landuse mapping are discussed. Overall, the results suggest that landuse classification accuracies on the order of 75% are possible with, in the best case, simultaneous forest and nonforest accuracies of around 80-85%. The presence of topography reduces the performance.
['Tazio Strozzi', 'P.B.G. Dammert', 'Urs Wegmüller', 'J.-M. Martinez', 'J. Askne', 'A. Beaudoin', 'N.T. Hallikainen']
I am writing a research paper on a idea Landuse mapping with ERS SAR interferometry
[{"from": "human", "value": "I am writing a research paper on a idea Landuse mapping with ERS SAR interferometry"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Two landuse maps and a forest map of three different areas in Europe re completed with ERS SAR interferometry. The test sites represent various geomorphological regions with different cover types. In this article, the mapping algorithms are presented, the results are summarized, and the potential and limitations of ERS SAR interferometry for landuse mapping are discussed. Overall, the results suggest that landuse classification accuracies on the order of 75% are possible with, in the best case, simultaneous forest and nonforest accuracies of around 80-85%. The presence of topography reduces the performance."}]