Cosmo-SkyMed and TerraSAR-X datasets for geomorphological mapping in the eastern of Marajó Island, Amazon coast

• Published in: Geomorphology (Amsterdam, Netherlands) Netherlands), 2020-02, Vol.350, p.106934, Article 106934
• Main Authors: Silva Guimarães, Ulisses, de Lourdes Bueno Trindade Galo, Maria, da Silva Narvaes, Igor, de Queiroz da Silva, Arnaldo
• Format: Article
• Language: English
• Subjects: Amazon coastal environments; Random Forest; Synthetic aperture radar
• ISSN: 0169-555X; 1872-695X
• DOI: 10.1016/j.geomorph.2019.106934

[Display omitted] •The coastal environments were recognized and mapped by the CSK and TSX.•The Random Forest comprised SAR attributes based on intensity, coherence and DSM.•The Kappa’s coefficient has achieved 0.63 for TSX and 0.70 for CSK.•The incidence angle above 44° and the dry season were more suitable for mapping. The Amazon coast is marked by the high discharge of sediments and freshwater, macrotidal influence, a wide continental shelf, extensive flood plains and lowered plateaus which make it unique as a delta and estuary landscape. Further, the tropical climate imposes heavy rains and incessant cloudiness that render microwave systems more suitable for cartography. This study proposed to recognize and map the Amazon coastal environments through the X-band Synthetic Aperture Radar, provided by Cosmo-SkyMed (CSK) and TerraSAR-X (TSX) systems. The SAR datasets consisted of interferometric and stereo pairs, restricted to single-revisit and obtained with small interval (1–11 days), under steeper (θ