2010
DOI: 10.1007/s13157-010-0085-z
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Calculating the Ecosystem Service of Water Storage in Isolated Wetlands using LiDAR in North Central Florida, USA

Abstract: We used remotely-sensed Light Detection and Ranging (LiDAR) data to estimate potential water storage capacity of isolated wetlands in north central Florida. Data were used to calculate the water storage potential of >8500 polygons identified as isolated wetlands. We found that isolated wetlands in this area stored 1619 m 3 /ha on average, with a median measure of 876 m 3 /ha. Significant differences in average storage capacity were found depending on wetland type, ranging from 1283 m 3 /ha in palustrine scrub-… Show more

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Cited by 86 publications
(76 citation statements)
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“…Additional information beyond the radiometric response provided with optical satellites can be extracted from SAR data to help detect flooded areas [47,48] and classify wetlands [35,48], based on hydrologic features and surface structure. In a single-channel SAR system both the transmitted and received energy from the satellite are either horizontally (H) or vertically (V) polarized.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Additional information beyond the radiometric response provided with optical satellites can be extracted from SAR data to help detect flooded areas [47,48] and classify wetlands [35,48], based on hydrologic features and surface structure. In a single-channel SAR system both the transmitted and received energy from the satellite are either horizontally (H) or vertically (V) polarized.…”
Section: Introductionmentioning
confidence: 99%
“…This allows the user to decompose the SAR backscatter being returned from the objects being sensed into four common scattering types: (1) specular scattering (no return to the SAR), which occurs from smoother surfaces such as calm water or bare soil; (2) rough scattering, which results when there is a single bounce return to the SAR from surfaces such as small shrubs or rough water; (3) volume scattering, which is when the signal is backscattered in multiple directions from features such as vegetation canopies; and (4) double-bounce or dihedral scattering, which results when two smooth surfaces create a right angle that deflects the incoming radar signal off both surfaces such that most of the energy is returned to the sensor. This latter scattering case typically occurs when vertical emergent vegetation is surrounded by a visible, smooth water surface [32,[47][48][49][50][51]. Flooded vegetation can also have a combination of double-bounce and volume backscattering [50,51].…”
Section: Introductionmentioning
confidence: 99%
“…For hydrological mod-ellers, an ideal approach is one that overcomes the need for often time-intensive topographic surveys and that is more practical for use in models at varying scales and locations. Previous studies have set about this by defining statistical relationships between surface area and volume for wetlands of specific physiographic regions (Gleason et al, 2007;Hubbard, 1982;Lane and D'Amico, 2010;Wiens, 2001). Such approaches have been found useful for modelling entire watersheds (Gleason et al, 2007), but limited for estimating storage in individual wetlands because depth and basin morphometry (i.e.…”
Section: Introductionmentioning
confidence: 99%
“…Low intensity management to protect soil recharge and storage functions, and best management practices that protect embedded wetlands (FDACS 2008), result in landscapes that persist in their capacity to retain rainfall. This has particularly important implications with increased incidence of extreme events (floods and droughts) since those storages serve the multiple roles of retaining floodwaters under high rainfall conditions (Lane and D'Amico 2010), attenuating downstream risks, and also sustaining flow to streams during drier periods (McLaughlin et al 2014).…”
Section: Water Resources Under Future Climatementioning
confidence: 99%