Hydrological monitoring of high-latitude shallow water bodies from high-resolution space-borne D-InSAR

Assessment of Surface Hydrological Connectivity in an Ungauged Multi-Lake System with a Combined Approach Using Geostatistics and Spaceborne SAR Observations

“…In the SAR imagery, the characteristics of rivers, lakes, and other water bodies are distinguished by the low return of the radar signal. Although the interferometric synthetic aperture radar (InSAR) using phase information is merely suitable for monitoring the water level, flow direction and flow patterns related to hydrological connectivity in swamp/marsh wetlands through double-bounce effect of the radar signal [25,26], the backscatter coefficient information of SAR images has been successfully used to derive surface water dynamics in open water [27]. The disadvantage of SAR imagery is that speckle noise will reduce the image quality and complicate the extraction of surface water dynamics, but these noises can be eliminated by various speckle removal algorithms.…”

Peer Review #1 of "Investigating the potential use of Sentinel-1 data for monitoring wetland water level changes in China’s Momoge National Nature Reserve (v0.1)"

“…RADARSAT-1/2 (Brisco et al 2017;Gondwe et al 2010;Kim et al 2017;Kim et al 2009;Lu & Kwoun 2008;Mohammadimanesh et al 2018a;Siles et al 2020), ENVISAT (Wdowinski et al 2006), ALOS PALSAR-1/2 (Cao et al 2018;Jaramillo et al 2018;Kim et al 2017;Kim et al 2014;Kim et al 2009;Mohammadimanesh et al 2018a;Palomino-Ángel et al 2019;Yuan et al 2017) and TerraSAR-X (Hong et al 2010b;Mohammadimanesh et al 2017) to detect water level changes in different types of wetlands. However, most SAR satellites that provide data for previous wetland InSAR studies have a relatively short life span and have been out of operation for years or even two decades.…”

“…Wetland InSAR technique can be an excellent complementary tool for in-situ ground observations to better understand and monitor a wide area with high spatial resolution (Hong & Wdowinski 2017). Since the first time Alsdorf et al (2000) and Alsdorf et al (2001) mapped a spatial detailed image of centimeter-scale variations in the Amazon floodplain water level response to changing river discharge through InSAR, innovative applications of InSAR to monitoring hydrologic changes in wetlands have also been successful in different regions of the world (Kim et al 2014), including but not limited to the Everglades (Hong et al 2010a;Kim et al 2014;Liao & Wdowinski 2018;Wdowinski et al 2004;Wdowinski et al 2008), the Louisiana wetlands (Kim et al 2009;Kwoun & Lu 2009;Lu et al 2005), the Amazon floodplain (Cao et al 2018), the Sian Ka'an in Yucatan (Gondwe et al 2010), the Yellow River Delta (Xie et al 2013;Xie et al 2015;Yuan et al 2016), the Liaohe River (Zhang et al 2016), the Great Dismal Swamp (Kim et al 2017), the Ciénaga Grande de Santa Marta (Jaramillo et al 2018), the Yukon Flats Basin (Pitcher et al 2019) and, most recently, the Peace-Athabasca Delta (Siles et al 2020). Today, wetland InSAR technique has evolved from monitoring relative water level changes to monitoring absolute water level time series.…”

Investigating the potential use of Sentinel-1 data for monitoring wetland water level changes in China’s Momoge National Nature Reserve

“…Wetland InSAR technique can be an excellent complementary tool for in-situ ground observations to better understand and monitor a wide area with high spatial resolution (Hong & Wdowinski, 2017). Since the first time Alsdorf et al (2000) and Alsdorf, Smith & Melack (2001) mapped a spatial detailed image of centimeter-scale variations in the Amazon floodplain water level response to changing river discharge through InSAR, innovative applications of InSAR to monitoring hydrologic changes in wetlands have also been successful in different regions of the world (Kim et al, 2014), including but not limited to the Everglades (Hong et al, 2010a;Kim et al, 2014;Liao & Wdowinski, 2018;Wdowinski et al, 2004;Wdowinski et al, 2008), the Louisiana wetlands (Kim et al, 2009;Kwoun & Lu, 2009;Lu et al, 2005), the Amazon floodplain (Cao et al, 2018), the Sian Ka'an in Yucatan (Gondwe et al, 2010), the Yellow River Delta (Xie et al, 2013;Xie et al, 2015;Yuan et al, 2016), the Liaohe River (Zhang et al, 2016), the Great Dismal Swamp (Kim et al, 2017), the Ciénaga Grande de Santa Marta (Jaramillo et al, 2018), the Yukon Flats Basin (Pitcher et al, 2019) and, most recently, the Peace-Athabasca Delta (Siles et al, 2020). Today, wetland InSAR technique has evolved from monitoring relative water level changes to monitoring absolute water level time series.…”

“…Furthermore, different wetland classes such as marsh, swamp, bog, fen, and shallow water have different backscattering behavior depending on SAR satellites wavelength, polarization, incidence angle, spatial resolution, environmental variables, and wetland phenology (Mohammadimanesh et al, 2018b). To date, a number of studies have discussed the potential of using different SAR data sources such as ERS-1/2 (Lu et al, 2005;Lu & Kwoun, 2008), JERS-1 (Wdowinski et al, 2004;Wdowinski et al, 2008), RADARSAT-1/2 (Brisco et al, 2017;Gondwe et al, 2010;Kim et al, 2017;Kim et al, 2009;Lu & Kwoun, 2008;Mohammadimanesh et al, 2018a;Siles et al, 2020), ENVISAT (Wdowinski et al, 2006), ALOS PALSAR-1/2 (Cao et al, 2018;Jaramillo et al, 2018;Kim et al, 2017;Kim et al, 2014;Kim et al, 2009;Mohammadimanesh et al, 2018a;Palomino-Ángel et al, 2019;Yuan, Lee & Jung, 2017) and TerraSAR-X (Hong, Wdowinski & Kim, 2010b;Mohammadimanesh et al, 2017) to detect water level changes in different types of wetlands. However, most SAR satellites that provide data for previous wetland InSAR studies have a relatively short life span and have been out of operation for years or even two decades.…”