作者: Christos G. Karydas , Pericles Toukiloglou , Chara Minakou , Ioannis Z. Gitas
DOI: 10.1117/12.2193162
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摘要: In the framework of ERMES project (FP7 66983), an algorithm for mapping rice cultivation extents using mediumhigh resolution satellite data was developed. (An Earth obseRvation Model based RicE information Service) aims to develop a prototype downstream service yield modelling on combination Observation and in situ data. The designed as set rules applied time series Landsat 8 images, acquired throughout season 2014 from plain Thessaloniki, Greece. rely use spectral indices, such Normalized Difference Vegetation Index (NDVI), Water (NDWI), Seasonal Wetness (NSWI), extracted dataset. is subdivided into two phases: a) hard classification phase, resulting binary map (rice/no-rice), where pixels are judged according their performance all images series, while index thresholds were defined after trial error approach; b) soft fuzzy map, by assigning scores which passed (as ‘rice’) first phase. Finally, user-defined threshold score will discriminate no-rice output map. tested subset Thessaloniki against selected field results indicated overall accuracy higher than 97%. also study Spain (Valencia) preliminary test similar performance, i.e. about 98%. Currently, being modified, so early (by end June), with view contribute more substantially prediction ERMES. Both modes (late early) planned be extra Mediterranean areas, Greece, Italy, Spain.