Estimating the Extent of Impervious Surfaces and Turf Grass across Large Regions

Claggett, Peter R.; Irani, Frederick M.; Thompson, Renee L.

doi:10.1111/jawr.12110

Cited by 15 publications

(11 citation statements)

References 35 publications

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“…Notwithstanding map accuracy issues, more perforated interior forest, realized from an assessment based on finer grain data (Foreman 1995), may trigger changes in forest management locally or regionally (Riitters et al 2018). Similarly, increases in the amount of forest in exurban to urban contexts may have implications for water quality management (Claggett et al 2013) and spatial variation in the magnitude of the urban heat island (UHI) effect (Quattrochi and Ridd 1996).…”

Section: Introductionmentioning

confidence: 99%

Influence of high-resolution data on the assessment of forest fragmentation

Wickham

Riitters

2019

Landscape Ecol

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Context Remote sensing has been a foundation of landscape ecology. The spatial resolution (pixel size) of remotely sensed land cover products has improved since the introduction of landscape ecology in the United States. Because patterns depend on spatial resolution, emerging improvements in the spatial resolution of land cover may lead to new insights about the scaling of landscape patterns. Objective We compared forest fragmentation measures derived from very high resolution (1 m 2) data with the same measures derived from the commonly used (30 m 9-30 m; 900 m 2) Landsat-based data. Methods We applied area-density scaling to binary (forest; non-forest) maps for both sources to derive source-specific estimates of dominant (density C 60%), interior (C 90%), and intact (100%) forest. Results Switching from low-to high-resolution data produced statistical and geographic shifts in forest spatial patterns. Forest and non-forest features that were ''invisible'' at low resolution but identifiable at high resolution resulted in higher estimates of dominant and interior forest but lower estimates of intact forest from the high-resolution source. Overall, the high-resolution data detected more forest that was more contagiously distributed even at larger spatial scales. Conclusion We anticipate that improvements in the spatial resolution of remotely sensed land cover products will advance landscape ecology through reinterpretations of patterns and scaling, by fostering new landscape pattern measurements, and by testing new spatial pattern-ecological process hypotheses.

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Section: Introductionmentioning

confidence: 99%

Influence of high-resolution data on the assessment of forest fragmentation

Wickham

Riitters

2019

Landscape Ecol

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“…A surrogate parameter, such as building area or appraised floor area, may be used in the absence of measured impervious area. Impervious area may also be derived from a land cover data set (Claggett et al 2013). However, use of surrogate data without correction for additional impervious area contributed by driveways, sidewalks, paved footpaths, and so on may not yield a sufficiently reliable estimate of landscape area.…”

Section: Abstract: Coefficients Land Cover Landscape Area Water Bumentioning

confidence: 99%

“…White et al (2004) multiplied floor area by a factor of 1.5 to account for the remainder of the building footprint and other impervious features for single-family lots in College Station, Tex. Claggett et al (2013) combined information from land-cover data sets with ancillary data representative of impervious cover to increase the accuracy of pervious cover estimates in the Chesapeake Bay watershed. The relative accuracy of these correction factors, or coefficients, has not been assessed previously in the literature.…”

Section: Abstract: Coefficients Land Cover Landscape Area Water Bumentioning

confidence: 99%

Coefficients for Estimating Landscape Area on Single‐Family Residential Lots

2017

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Overwatering residential lawns and landscapes is a ubiquitous problem. One method to determine overwatering is by developing individual residential irrigation budgets. The process for developing these budgets begins with determining the size of the irrigated landscape. This article establishes a relationship between measured landscape area and appraised floor area for single‐family lots. Official lot and floor area data were obtained from appraisal district records and related to landscape area for each corresponding lot derived using geographical information systems and orthoimagery. The average proportions of landscape area to lot area were generalized into a bivariate table of coefficients. Landscape area calculated using these coefficients was compared to values computed using approaches published in past literature. The findings of this study suggest that the coefficients offer a new and convenient, empirically based approach for estimating landscape area on single‐family lots.

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“…In both cases, a manual clean-up procedure was implemented. Differentiating real mines from errors originating from problematic input data were largely resolved by using "known" land cover polygons to develop buffered masks in the manner proposed by Claggett et al (2013). The initial mask involved visually inspecting all mines over 20,000 m 2 distributed across the country in Google Earth tm using imagery spanning 1998-2007, and converting misclassified areas to a "no mine" class.…”

Section: Post-processing: Human Editing Of Outputsmentioning

confidence: 99%

Mapping Extent and Change in Surface Mines Within the United States for 2001 to 2006

et al. 2015

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A complete, spatially explicit dataset illustrating the 21st century mining footprint for the conterminous United States does not exist. To address this need, we developed a semi‐automated procedure to map the country's mining footprint (30‐m pixel) and establish a baseline to monitor changes in mine extent over time. The process uses mine seed points derived from the U.S. Energy Information Administration (EIA), U.S. Geological Survey (USGS) Mineral Resources Data System (MRDS), and USGS National Land Cover Dataset (NLCD) and recodes patches of barren land that meet a “distance to seed” requirement and a patch area requirement before mapping a pixel as mining. Seed points derived from EIA coal points, an edited MRDS point file, and 1992 NLCD mine points were used in three separate efforts using different distance and patch area parameters for each. The three products were then merged to create a 2001 map of moderate‐to‐large mines in the United States, which was subsequently manually edited to reduce omission and commission errors. This process was replicated using NLCD 2006 barren pixels as a base layer to create a 2006 mine map and a 2001–2006 mine change map focusing on areas with surface mine expansion. In 2001, 8,324 km2 of surface mines were mapped. The footprint increased to 9,181 km2 in 2006, representing a 10·3% increase over 5 years. These methods exhibit merit as a timely approach to generate wall‐to‐wall, spatially explicit maps representing the recent extent of a wide range of surface mining activities across the country. Copyright © 2015 John Wiley & Sons, Ltd.

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Estimating the Extent of Impervious Surfaces and Turf Grass across Large Regions

Cited by 15 publications

References 35 publications

Influence of high-resolution data on the assessment of forest fragmentation

Influence of high-resolution data on the assessment of forest fragmentation

Coefficients for Estimating Landscape Area on Single‐Family Residential Lots

Mapping Extent and Change in Surface Mines Within the United States for 2001 to 2006

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