scholarly journals Assessing Synthetic Aperture Radar (SAR)-Derived Temporal Patterns and Digital Terrain Data for Palustrine Wetland Mapping

2021 ◽  
Author(s):  
Jaimee L Pyron
Keyword(s):  
Synthetic Aperture Radar ◽  
Temporal Patterns ◽  
Synthetic Aperture ◽  
Wetland Mapping ◽  
Digital Terrain ◽  
Palustrine Wetland ◽  
Aperture Radar

scholarly journals WETLAND MAPPING WITH MULTITEMPORAL SENTINEL RADAR REMOTE SENSING IN THE SOUTHEAST REGION OF BRAZIL

2020 ◽  
Vol XLII-3/W12-2020 ◽  
pp. 237-242
Author(s):  
J. B. G. Salinas ◽  
M. K. P. Eggerth ◽  
M. E. Miller ◽  
R. R. B. Meza ◽  
J. T. A. Chacaltana ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Land Reclamation ◽  
Google Earth ◽  
Synthetic Aperture ◽  
Southeastern Brazil ◽  
Wetland Mapping ◽  
Artificial Wetlands ◽  
Imagery Condition ◽  
Sar Imagery ◽  
Aperture Radar

Abstract. A classification method with multi-temporal images of synthetic aperture radar (SAR) combined with Geographic information system, geoinformation data, and field validation, was applied for wetland mapping accuracy and typology. Wetland mapping is vital for management and conservation, particularly under environmental pressures such as wetland drainage and land reclamation. The aim of this study is to develop an accurate mapping of wetlands and open water systems of the Lower Doce River Valley - LDRV (Southeastern Brazil) with Synthetic Aperture Radar (SAR) imagery, using multitemporal classification techniques and ground truth validation. Sentinel-1B SAR imagery from 2016 and 2019 was processed with Google Earth Engine (GEE). Monthly median imagery condition for the rainy season was obtained and K-means unsupervised classification was applied. The study yields 4,157 wetlands, 262.27 km2 with predominant small patches. Fieldwork revealed three main wetlands categories: coastal wetlands, inland wetlands and artificial wetlands. The results have shown an overall accuracy of 81.9% and a Kappa coefficient of 0.71. Wetlands, non-wetlands, and open waters classes present accuracy of 50, 80 and 95%, respectively.

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