PE&RS February 2018 Full - page 108

the smaller urban footprint of the new maps omits some real
urban areas in the process of removing roads. The removal of
rural roads in the
NLCD
developed layers results in an oppor-
tunity to incorporate contemporary road data compiled using
advanced methods, such as
TIGER
(U.S. Census Bureau, 2017)
or private sector data from
HERE
(formerly
NAVTEQ
) (
HERE
,
2016), into the developed class.
Conclusions
Early in our exploratory effort to review readily available in-
formation on urban lands in the United States, we determined
that rural roads included in the developed class of
NLCD
maps
were problematic due to inconsistencies in road location,
density, and continuity.
NLCD
also treats the road network as
a static input. The process described in this article provides a
way to modify the
NLCD
to map an “urban” class by reducing
errors associated with mapping rural roads as “developed”.
The benefits afforded by removing errors associated with the
mapping of roads and more effectively mapping urban lands
from 1992 to 2011 are far reaching. Our mapping of urban
lands not only leads to more accurate results but also allows
for characterizing actual urban growth rather than assessing
changes for a more generalized developed class that includes
rural roads and other small patches of rural developed land.
Based on our results, the following conclusions can be made.
• The removal of approximately 230,000 km
2
of rural roads
from the
NLCD
developed classes led to substantially less
urban land area relative to the
NLCD
developed land area
for each map date, and this difference in area likely will
impact modeling results and policy decisions for users of
these data.
• The urban maps have higher overall accuracy, much
lower urban commission error rates, and only slightly
higher urban omission error rates relative to the
NLCD
developed class.
• Most pixels removed from the
NLCD
developed class and
labeled as Not Urban were located in the eastern US
within regions characterized by low-density development
and an abundance of rural roads.
Reliable maps of urban change are essential to further
understanding of the causes and consequences of human land
use practices on the landscape. The urban maps produced
by removing rural roads as well as other small areas of rural
development from the
NLCD
developed class refine the char-
acterization of urban development patterns and change rates
and this information will assist scientists, planners, and land
managers to better understand and quantify driving forces
and impacts of urban change.
Acknowledgments
This research was supported by the
USGS
Land Change Sci-
ence and
USGS
Climate Research and Development programs
and Cooperative Agreement G12AC20221 provided by
USGS
to
SUNY ESF
. We would like to thank Michelle Funk, James Fal-
cone, Janis Taylor, and anonymous journal reviewers for their
suggestions. Any use of trade, firm, or product names is for
descriptive purposes only and does not imply endorsement
by the US Government.
Author Contributions
C.S. and W.A. conceived and designed the experiments; W.A.
and S.S. performed the experiments; C.S. and S.S. analyzed
the data; C.S., W.A., and S.S. wrote the paper.
Supplementary Material
Full-resolution (30-meter) digital maps are provided on
USGS
Sciencebase. Data can be accessed using this DOI tag: https://
doi.org/10.5066/F79G5K05.
References
Anderson, J.R., 1976. A land use and land cover classification system
for use with remote sensor data, US Government Printing Office.
Bengston, D.N., J.O. Fletcher, and K.C. Nelson, 2004. Public
policies for managing urban growth and protecting open space:
Policy instruments and lessons learned in the United States,
Landscape and Urban Planning
, 69, 271–286, doi:10.1016/j.
landurbplan.2003.08.007.
Bierwagen, B.G., D.M. Theobald, C.R. Pyke, A. Choate, P. Groth,
J.V. Thomas and P. Morefield, 2010. National housing and
impervious surface scenarios for integrated climate impact
assessments,
Proceedings of the National Academy of Sciences
,
107: 20887–20892.
Booth, D.B., D. Hartley, and R. Jackson, 2002. Forest cover,
impervious-surface area, and the mitigation of stormwater
impacts,
JAWRA Journal of the American Water Resources
Association
, 38:835–845.
Brown, D.G., K.M. Johnson, T.R. Loveland, and D.M. Theobald, 2005.
Rural land-use trends in the conterminous United States, 1950-
2000,
Ecological Applications
, 15:1851–1863.
Claggett, P.R., F.M. Irani, and R.L. Thompson, 2013. Estimating the
extent of impervious surfaces and turf grass across large regions,
JAWRA Journal of the American Water Resources Association
,
49:1057–1077. doi:10.1111/jawr.12110.
Endreny, T.A., and K.E. Thomas, 2009. Improving estimates of
simulated runoff quality and quantity using road-enhanced land
cover data,
Journal of Hydrologic Engineering
, 14:
346–351.
Fahrig, L., 2003. Effects of habitat fragmentation on biodiversity,
Annual Review of Ecology, Evolution, and Systematics
, 34:487–
515.
Falcone, J.A., 2015.
US Conterminous Wall-to-Wall Anthropogenic
Land Use Trends (NWALT), 1974–2012
, U.S. Geological Survey.
Fry, J.A., M.J. Coan, C.G. Homer, D.K. Meyer, and J.D. Wickham, 2009.
Completion of the National Land Cover Database (NLCD) 1992-
2001 Land Cover Change Retrofit Product (No. 2008–1379)
, U.S.
Geological Survey.
Göbel, P., H. Stubbe, M. Weinert, J. Zimmermann, S. Fach, C.
Dierkes, H. Kories, J. Messer, V. Mertsch, W.F. Geiger, and W.G.
Coldewey, 2004. Near-natural stormwater management and its
effects on the water budget and groundwater surface in urban
areas taking account of the hydrogeological conditions,
Journal
of Hydrology
, 299:267–283. doi:10.1016/j.jhydrol.2004.08.013
Hilferink, M., and P. Rietveld, 1999. Land use scanner: An integrated
GIS based model for long term projections of land use in urban
and rural areas,
Journal of Geographical Systems
, 1:155–177.
Homer, C., J. Dewitz, J. Fry, M. Coan, N. Hossain, C. Larson, N.
Herold, A. McKerrow, J.N. VanDriel, J. Wickham, and others,
2007. Completion of the 2001 National Land Cover database for
the Conterminous United States,
Photogrammetric Engineering &
Remote Sensing
73:337–338
Homer, C., C. Huang, L. Yang, B. Wylie, and M. Coan, 2004.
Development of a 2001 National Land-Cover Database for the
United States,
Photogrammetric Engineering & Remote Sensing
,
70, 829–840.
Intergraph, 2014. Erdas Imagine 2014. Hexagon Geospatial.
Jin, S., L.Yang, P. Danielson, C. Homer, J. Fry, J., and G. Xian, 2013.
A comprehensive change detection method for updating the
National Land Cover Database to circa 2011,
Remote Sensing of
Environment
, 132, 159–175. doi:10.1016/j.rse.2013.01.012.
Leyk, S., M. Ruther, B.P. Buttenfield, N.N. Nagle, and A.K. Stum,
2014. Modeling residential developed land in rural areas:
A size-restricted approach using parcel data,
Applied
Geography
,47:33–45.
108
February 2018
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
51...,98,99,100,101,102,103,104,105,106,107 109,110,111,112,113,114
Powered by FlippingBook