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Conterminous United States land cover change patterns 2001–2016 from the 2016 National Land Cover Database

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TLDR
The 2016 National Land Cover Database (NLCD) product suite as discussed by the authors provides important new information on land change patterns across CONUS from 2001 to 2016, including land cover, urban imperviousness, and tree, shrub, herbaceous and bare ground fractional percentages.
Abstract
The 2016 National Land Cover Database (NLCD) product suite (available on www.mrlc.gov ), includes Landsat-based, 30 m resolution products over the conterminous (CONUS) United States (U.S.) for land cover, urban imperviousness, and tree, shrub, herbaceous and bare ground fractional percentages. The release of NLCD 2016 provides important new information on land change patterns across CONUS from 2001 to 2016. For land cover, seven epochs were concurrently generated for years 2001, 2004, 2006, 2008, 2011, 2013, and 2016. Products reveal that land cover change is significant across most land cover classes and time periods. The land cover product was validated using existing reference data from the legacy NLCD 2011 accuracy assessment, applied to the 2011 epoch of the NLCD 2016 product line. The legacy and new NLCD 2011 overall accuracies were 82% and 83%, respectively, (standard error (SE) was 0.5%), demonstrating a small but significant increase in overall accuracy. Between 2001 and 2016, the CONUS landscape experienced significant change, with almost 8% of the landscape having experienced a land cover change at least once during this period. Nearly 50% of that change involves forest, driven by change agents of harvest, fire, disease and pests that resulted in an overall forest decline, including increasing fragmentation and loss of interior forest. Agricultural change represented 15.9% of the change, with total agricultural spatial extent showing only a slight increase of 4778 km2, however there was a substantial decline (7.94%) in pasture/hay during this time, transitioning mostly to cultivated crop. Water and wetland change comprised 15.2% of change and represent highly dynamic land cover classes from epoch to epoch, heavily influenced by precipitation. Grass and shrub change comprise 14.5% of the total change, with most change resulting from fire. Developed change was the most persistent and permanent land change increase adding almost 29,000 km2 over 15 years (5.6% of total CONUS change), with southern states exhibiting expansion much faster than most of the northern states. Temporal rates of developed change increased in 2001–2006 at twice the rate of 2011–2016, reflecting a slowdown in CONUS economic activity. Future NLCD plans include increasing monitoring frequency, reducing latency time between satellite imaging and product delivery, improving accuracy and expanding the variety of products available in an integrated database.

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Citations
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Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States

TL;DR: The National Land Cover Database (NLCD) is an operational land cover monitoring program providing updated land cover and related information for the United States at five-year intervals.
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Fewer butterflies seen by community scientists across the warming and drying landscapes of the American West

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Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States

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References
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Journal ArticleDOI

High-Resolution Global Maps of 21st-Century Forest Cover Change

TL;DR: Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally, and boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms.
Journal ArticleDOI

Solutions for a cultivated planet

TL;DR: It is shown that tremendous progress could be made by halting agricultural expansion, closing ‘yield gaps’ on underperforming lands, increasing cropping efficiency, shifting diets and reducing waste, which could double food production while greatly reducing the environmental impacts of agriculture.
OtherDOI

A land use and land cover classification system for use with remote sensor data

TL;DR: The framework of a national land use and land cover classification system is presented for use with remote sensor data and uses the features of existing widely used classification systems that are amenable to data derived from re-mote sensing sources.
Journal ArticleDOI

Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools

TL;DR: S spatially explicit probabilistic forecasts of global urban land-cover change are developed and the direct impacts on biodiversity hotspots and tropical carbon biomass are explored to minimize global biodiversity and vegetation carbon losses.
Related Papers (5)
Trending Questions (1)
How linear development influences for changes in land cover.?

Linear development, such as roads and infrastructure, contributes to the increase in developed land cover, which has expanded by almost 29,000 km2 over 15 years in the conterminous United States.