Monitoring of wetland inundation dynamics in the Delmarva Peninsula using Landsat time-series imagery from 1985 to 2011

Jin, Huiran; Huang, Chengquan; Lang, Megan W.; Yeo, In‐Young; Stehman, Stephen V.

doi:10.1016/j.rse.2016.12.001

Cited by 104 publications

(73 citation statements)

References 58 publications

(69 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this study, we detected sub-canopy inundation with RMSEs of 0.15 and 0.11 during leaf-off in 2007 and 2009, respectively. While these errors are higher than those reported in a recent study quantifying SWF using Landsat imagery over the Delmarva Peninsula [44], a number of differences should be considered in this comparison. First, we considered forested wetlands in estimating algorithm accuracy, whereas Jin et al (2017) [44] based their accuracy on open waters, which was not the focus of this study.…”

Section: Forested Depressional Wetlandscontrasting

confidence: 56%

“…While these errors are higher than those reported in a recent study quantifying SWF using Landsat imagery over the Delmarva Peninsula [44], a number of differences should be considered in this comparison. First, we considered forested wetlands in estimating algorithm accuracy, whereas Jin et al (2017) [44] based their accuracy on open waters, which was not the focus of this study. Second, our algorithm does not use any local training data, and as such we expect that our results will have lower accuracies than most locally-trained algorithms, such as a similar product reported in [41].…”

Section: Forested Depressional Wetlandscontrasting

confidence: 56%

“…Detection of sub-canopy inundation in forested wetlands using optical satellite imagery is particularly difficult, and virtually impossible during leaf-on periods [41,44]. Monitoring sub-canopy inundation using synthetic aperture radar (SAR) data, on the other hand, has shown some promise, especially in the case of longer wavelength data (e.g., L-band) [79].…”

Section: Forested Depressional Wetlandsmentioning

confidence: 99%

“…Halabisky et al (2016) [42] used spectral mixture analysis to derive sub-pixel water fractions using Landsat data. Other studies used regression trees trained with fine resolution LiDAR intensity data to estimate sub-pixel water fraction using Landsat imagery [41,44]. A limitation of these methods is that they require external training data derived from in situ or other fine spatial resolution data to develop reference spectral profiles or train regression models.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery

et al. 2017

Self Cite

View full text Add to dashboard Cite

We present a fully automated and scalable algorithm for quantifying surface water inundation in wetlands. Requiring no external training data, our algorithm estimates sub-pixel water fraction (SWF) over large areas and long time periods using Landsat data. We tested our SWF algorithm over three wetland sites across North America, including the Prairie Pothole Region, the Delmarva Peninsula and the Everglades, representing a gradient of inundation and vegetation conditions. We estimated SWF at 30-m resolution with accuracies ranging from a normalized root-mean-square-error of 0.11 to 0.19 when compared with various high-resolution ground and airborne datasets. SWF estimates were more sensitive to subtle inundated features compared to previously published surface water datasets, accurately depicting water bodies, large heterogeneously inundated surfaces, narrow water courses and canopy-covered water features. Despite this enhanced sensitivity, several sources of errors affected SWF estimates, including emergent or floating vegetation and forest canopies, shadows from topographic features, urban structures and unmasked clouds. The automated algorithm described in this article allows for the production of high temporal resolution wetland inundation data products to support a broad range of applications.

show abstract

Section: Forested Depressional Wetlandscontrasting

confidence: 56%

Section: Forested Depressional Wetlandscontrasting

confidence: 56%

Section: Forested Depressional Wetlandsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…Surface water extent was measured using constrained spectral mixture analysis (SMA; Adams and Gillespie 2006) that allowed proportional estimations of water contained within a continuous 30 9 30 m pixel grid (Jin et al 2017). Surface water extent was measured using constrained spectral mixture analysis (SMA; Adams and Gillespie 2006) that allowed proportional estimations of water contained within a continuous 30 9 30 m pixel grid (Jin et al 2017).…”

Section: Modeling Wetland Surface Water Dynamicsmentioning

confidence: 99%

Synchronizing conservation to seasonal wetland hydrology and waterbird migration in semi‐arid landscapes

et al. 2019

View full text Add to dashboard Cite

2019.Synchronizing conservation to seasonal wetland hydrology and waterbird migration in semi-arid landscapes. EcosphereAbstract. In semi-arid ecosystems, timing and availability of water is a key uncertainty associated with conservation planning for wetland-dependent wildlife. Wetlands compose only 1-3% of these landscapes; however, large populations of migratory waterbirds rely on these wetlands to support energetically demanding life history events such as breeding and migration. Migration is considered a crucial period for birds associated with individual survival and reproductive success, yet our understanding of migration ecology remains limited. To better inform conservation planning supportive of these demands, we quantified synchrony of wetland flooding and waterbird migration by reconstructing bi-monthly surface water patterns from 1984 to 2015 across 11.4 million ha of the semi-arid Great Basin, USA. Results were then linked to seasonal migration chronologies for seven dabbling ducks species. Seasonal patterns were used in landscape planning simulations to assess efficiency in conservation strategies that aligned temporally sensitive wetland flooding and species migration. Wetland data were combined with land tenure to evaluate periodicity in waterfowl reliance on public and private lands. We found migration chronologies misaligned with wetland flooding. In spring, half (43-59%) to three-quarters (68-74%) of seasonal wetlands were flooded and available to early-and latemigrating species while seasonal drying restricted wetland flooding to 13-20% of sites during fall migration. Simulations showed wetland conservation inconsiderate of temporal availability was only 67-75% efficient in meeting waterfowl habitat goals on private lands that made up~70% of flooded wetland area in spring. Private-public wetland flooding was equivalent during fall migration. Accounting for spatiotemporal patterns of wetland flooding is imperative to improving efficiencies linked to migratory bird conservation. Timing of public-private wetland flooding, demonstrated by our models, provides landscape context that emphasized a joint role in supporting migratory waterbird habitat. Integrated management scenarios may capitalize on public lands' flexibility to expand fall flooding to offset seasonal drying on private lands while targeted incentive-based conservation assures private wetland flooding in spring. Such scenarios illustrate benefits of holistic public-private wetlands management representing a forward-looking alternative that aligns conservation with forecasts of increasing water scarcity.

show abstract

Monitoring and Modelling Hydrological Processes

Dadson

Hirpa

Thomson

et al. 2019

Water Science, Policy, and Management

View full text Add to dashboard Cite

Monitoring of wetland inundation dynamics in the Delmarva Peninsula using Landsat time-series imagery from 1985 to 2011

Abstract: data are becoming increasingly more affordable, the developed framework can be easily implemented to generate a continuous inundation record in many regions of the globeto assist in ongoing and future studies focused on wetland hydrology and wetland management.

Cited by 104 publications

References 58 publications

Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery

Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery

Synchronizing conservation to seasonal wetland hydrology and waterbird migration in semi‐arid landscapes

Monitoring and Modelling Hydrological Processes

Contact Info

Product

Resources

About