2019
DOI: 10.1016/j.rse.2019.111417
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A novel approach to monitoring wetland dynamics using CYGNSS: Everglades case study

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Cited by 88 publications
(56 citation statements)
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“…For example, TDS-1 SGR-ReSI measurements have been used to characterize ocean winds [6,7], sea surface height [8], soil moisture and vegetation [9,10], wetland inundation [11,12], sea ice detection and concentration [13][14][15][16], sea ice altimetry [17], and sea ice type classification [18]. CYGNSS measurements have been used to observe ocean wind speeds [19][20][21][22], soil moisture [23,24], wetlands inundation characterization and dynamics [25][26][27], and hurricane/tsunami-driven flooding [28,29].…”
Section: Introductionmentioning
confidence: 99%
“…For example, TDS-1 SGR-ReSI measurements have been used to characterize ocean winds [6,7], sea surface height [8], soil moisture and vegetation [9,10], wetland inundation [11,12], sea ice detection and concentration [13][14][15][16], sea ice altimetry [17], and sea ice type classification [18]. CYGNSS measurements have been used to observe ocean wind speeds [19][20][21][22], soil moisture [23,24], wetlands inundation characterization and dynamics [25][26][27], and hurricane/tsunami-driven flooding [28,29].…”
Section: Introductionmentioning
confidence: 99%
“…Based on a simple scattering model that assumes the signal to be coherent and the peak power contribution to come from the first Fresnel zone, Chew et al, 2018;Morris et al, 2019 focused on data analysis at a much smaller scale than the Amazon basin, with particular attention to detecting dynamic changes in very short time scales typical of flooding and seasonal variability in heterogenous scenes. At the regional scale, availability of in-situ and other correlative data that can be used as truth in classifying an area as wet or dry, have led to introduce thresholds in reflected peak power values that differentiate between two binary states, i.e.…”
Section: More Detailsmentioning
confidence: 99%
“…At the regional scale, availability of in-situ and other correlative data that can be used as truth in classifying an area as wet or dry, have led to introduce thresholds in reflected peak power values that differentiate between two binary states, i.e. dry and wet associated with inundations [Chew et al, 2018;Morris et al, 2019].…”
Section: More Detailsmentioning
confidence: 99%
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“…These examples demonstrate the potential for TropWet to provide policy makers with crucial information to help make national, regional, or continental scale decisions regarding wetland conservation, flood/disease hazard mapping, or mitigation against the impacts of ENSO.Landsat) with microwave systems (e.g., AMSR: Advanced Microwave Scanning Radiometer, SMAP: Soil Moisture Active Passive) [17,20]. Similarly, there is growing evidence that information from global navigation systems (GNSS-R: Global Navigation Satellite System Reflectometry) can provide timely and reliable classifications of wetlands by exploiting signals over both open water and vegetated water surfaces [21][22][23][24]. These approaches provide valuable tools for quantifying wetland dynamics at continental scales with important applications such as characterising greenhouse gas flux [17,18,24,25].…”
mentioning
confidence: 99%