ENVISAT multipolarised ASAR data for flood mapping

Analysis of ENVISAT ASAR data for forest parameter retrieval and forest type classification—a case study over deciduous forests of central India

“…HH-for horizontal transmit and horizontal receive; VV-for vertical transmit and vertical receive; HV-for horizontal transmit and vertical receive; and VH-for vertical transmit and horizontal receive. HH and VV are referred to as like-polarized, while HV and VH are referred to as cross-polarized (Henry et al 2006).…”

The Use of Various Optical and Radar Remote Sensing Data in Operative Space Monitoring of Flood in Kazakhstan

“…Очень часто радарная съемка является единственным способом получить достоверную информацию о ситуации с прохождением паводковых вод и наводнений. Эта особенность радарных данных обусловливает их многолетнее применение для этих целей [9][10][11][12]. Обратим внимание на следующий момент.…”

Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A.

“…Consequently, an alternating polarization precision image, using like-and cross-polarization, seemed to constitute a better image for flood mapping than a monopolarized image, especially if a rapid mapping response is required (Baghdadi et al, 2001;Henry et al, 2006;Ngiem et al, 2000). Ramsey et al (2012) presented a summary of the limitations and potentials of satellite imagery to monitor and map coastal flooding for Hurricanes Gustav and Ike (2008), demonstrating that the correspondence between ground data and ASAR-based flood mapping ranged from 86% to 96% for water levels .0.8 m.…”

“…Discrimination of inundated areas can be optimized by selecting the most suitable polarization of the radar waves. Henry et al (2006) compared the Envisat advanced SAR (ASAR) with the performance of the SAR system on ERS-2 to evaluate the contribution of polarized configurations to flood boundary delineation. The ASAR instrument was activated in the alternating polarization and image modes, providing highresolution data sets.…”