Land Use and Land Cover - IMPERVIOUS_SURFACE_CHANGE_2001_2006_USGS_IN: Estimated Percent Change of Impervious Surface in Indiana, Derived from the 2001 and 2006 National Land Cover Database (United States Geological Survey, 30-Meter TIFF Image) Metadata Updated: August 19, 2017. 19039_DRFT will not process state-level “binary” 1992 NLCD files • Supplement land cover with percent impervious and tree canopy • Characterize individual wind sectors as airport/non … 4. 99 (1) Historic assignment of CNs to complexes 100 Table 9–1 was initially developed as follows: 101 The data literature was searched for watersheds in single complexes (one soil group and one What geographic area does the data set cover? Impervious areas are predominantly flat paved or unpaved surfaces (e.g. The results are many, including an increased burden on stormwater infrastructure, erosion, reduced water quality, 'heat island effects', and both ground-level and water pollution. These coefficients were then applied to the area of the four developed classes to estimate the amount of impervious area associated with each. Percent Developed Impervious surface provides nationally consistent estimates of the amount of man-made impervious surfaces present over a given area. 5. Impervious surfaces account for 20-49 percent of total cover. The new production techniques have helped free up time for the detailed impervious surface products that are unique to the NLCD product suite. Like the other NLCD, these data sets are derived from Landsat satellite imagery using classification schemes. Impervious surfaces, including paved areas such as roads, parking lots, and sidewalks as well as rooftops, prevent water from draining naturally into the ground. The two intermediate products and 2006 imperviousness were compared to remove false estimates in non-urban areas and generate a 2011 impervious surface estimate. The USA NLCD Impervious Surface layer covers the entire continental United States, but your study area covers the extent of the Madison, Wisconsin, area. New for NLCD 2016 is an impervious surface descriptor layer. The use of remote sensing techniques is the only means of accurately carrying out global mapping of impervious surfaces covering large areas. This product is used to assess urban growth, map and inventory wetlands, delineate wildlife habitat, determine changes in land cover over time, and more. Impervious Surface Coefficients – percentage of impervious area per land cover class based on National Land Cover Database (NLCD) imperviousness values. 4. Think of this as the percentage of a pixel that’s been covered by concrete, pavement, buildings, roads, etc. The images in the time series were produced by MRLC, the Multiresolution Land Characteristics Consortium, a 20 year partnership responsible for producing land cover updates of the United States.Direct project partners for this work include the United States Department of Interior, US … NLCD (the National Land Cover Database) is a 30-m Landsat-based land cover database spanning 8 epochs (1992, 2001, 2004, 2006, 2008, 2011, 2013 and 2016). IMPERVIOUS_SURFACE_2011_USGS_IN is a grid (30-meter cell size) showing estimated percentages of impervious surfaces in Indiana in 2011.This grid is a subset of the National Land Cover Database (NLCD 2011) suite of data products. Process_Description: Process Step for NLCD 2011 (amended 2014): The release in 2014 of amended versions of land cover for 2001, 2006, and 2011 was made to correct for unintended differences between the impervious dataset and the four land cover developed classes (Open Space, Low Intensity, Medium Intensity, and High Intensity). Full metadata are included in the nlcd16id.img.xml file located in the same path as the maintenance format file. NLCD imperviousness products represent urban impervious surfaces as a percentage of developed surface over every 30-meter pixel in the United States. Also included in this release are thematic image layers of the percentage of tree cover within each 30 meter pixel, and the percentage of each pixel that is impervious surface. As a result, you'll create a subset of the source data to the extent of your study area by using the Extract By Mask geoprocessing tool. Abstract. Impervious Surface Time Series, Showing West Houston in 2001, 2006, 2011, and 2016. • Process NLCD 1992, 2001, 2006, and 2011 ( GeoTIFFonly) o. USGS no longer providing NLCD 1992. o. Questions about the NLCD 2011 land cover product can be directed to the NLCD 2011 land cover mapping team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov." By 2017, the total impervious surface area in China has been 209,950 km 2 while in Japan this value was 14,290 km 2, 6.8% of China’s total. Nationwide coverage, including Alaska, Hawaii, and Puerto Rico. These areas most commonly include single-family housing units. NLCD 2016 updates all previously released versions of impervious products for CONUS (NLCD 2001, NLCD 2006, NLCD 2011) along with a new date of impervious surface for 2016. 1. The emergence of high-resolution land cover data has created the opportunity to assess the accuracy of impervious cover (IC) provided by the National Land Cover Database (NLCD). NLCD Percent Developed Impervious Surface values, in order to calculate an average impervious surface value for each developed class. We calculated the amount of impervious surface in each hydrologic unit using the USA NLCD Impervious Surface layer and units in the Living Atlas, using the zonal statistics as table geoprocessing tool. NLCD also provides unique products not represented in LCMAP data that may be useful for specific user applications. Accurately mapping a small number of new urban areas doesn’t lend itself well to automated classification, as patches of trees and bare urban areas can so easily be tagged as forest or bare ground. The 2017 per capita impervious surface area of Chinese people (151.7 m 2) was 35% more than that of Japanese people (112.7 m 2). 2009 nighttime lights imagery from the NOAA Defense Meteorological Satellite Program (DMSP) was imposed on the NLCD 2006 impervious surface product to exclude low density imperviousness outside urban and suburban centers so that only imperviousness in urban core … The USA NLCD Land Cover Change layer shows only the land cover that changed type between 2006 and 2011, displaying areas of no change with a transparent symbol. Landsat Thematic Mapper satellite data are used as the base imagery for the classification. The attributes are percentage values of estimated impervious-surface cover within each 30-meter grid cell, or pixel. NLCD 2006 quantifies land cover change for the conterminous U.S. between the years 2001 to 2006. Generation of NLCD 2006 helped identify and correct issues in the NLCD 2001 land cover and impervious surface products only, and no changes were made to the NLCD 2001 canopy product. 4. This data layer is a final 2006 impervious estimate ready for distribution through NOAA CSC. The NLCD is the source for the max_imperv variable that you filtered the image by in the previous lesson. As the surface of the land becomes more impervious due to development, the ability of the groundwater to recharge diminishes. airport terminal, commercial structures, residential) China’s over-expansion in land development is worthy of deeper analysis. Impervious surface layers (currently provided at nominal 5-year intervals) provide information valuable for hydrologic applications, for example. The data set is the 2006 update of NLCD 2001 impervious surfaces for Zone 1, Washington state. 3. Developed, Medium Intensity - Includes areas with a mixture of constructed materials and vegetation. NLCD supports a wide variety of Federal, State, local, and nongovernmental applications that seek to assess ecosystem status and health, understand the spatial patterns of … The National Land Cover Dataset (NLCD) Impervious Surface 2001 is a raster impervious cover map developed by the U.S. Geological Survey (USGS) for the conterminous United States, southeast Alaska, Hawaii, and Puerto Rico at a spatial resolution of 30 meters. These values were then summed to produce a total impervious surface area for each watershed. Impervious surfaces 98 and water surfaces, which are not listed, are always assigned a CN of 97. With the 2016 release, the intended snapshot interval is 2-3 years, beginning with 2001. First, 2001 nighttime lights imagery from the NOAA Defense Meteorological Satellite Program (DMSP) was imposed on the NLCD 2001 impervious surface product to exclude low density imperviousness outside urban and suburban centers so that only imperviousness in urban core areas would be used in the training dataset. 2. First, 2009 nighttime lights imagery from the NOAA Defense Meteorological Satellite Program (DMSP) was imposed on the NLCD 2006 impervious surface product to exclude low density imperviousness outside urban and suburban centers so that only imperviousness in urban core areas would be used in the training dataset. First, 2009 nighttime lights imagery from the NOAA Defense Meteorological Satellite Program (DMSP) was imposed on the NLCD 2006 impervious surface product to exclude low density imperviousness outside urban and suburban centers so that only imperviousness in urban core areas would be used in the training dataset. 1. First, 2009 nighttime lights imagery from the NOAA Defense Meteorological Satellite Program (DMSP) was imposed on the NLCD 2006 impervious surface product to exclude low density imperviousness outside urban and suburban centers so that only imperviousness in urban core areas would be used in the training dataset. Ground surfaces that are impenetrable to water can cause serious environmental problems, including flooding and contaminated runoff. runways, parking lots, roads) Airport 0.03-0.07 0.02-0.07 0.03-0.07 0.04-0.08 0.03-0.08 Developed –Low, Medium, High Intensity (22-24) Impervious areas substantial mix of buildings/structures and paved areas (e.g. The USGS acknowledges the support of USGS NLCD 2006 Land Cover Mapping Teams in development of data for this map. Impervious surfaces account for 50-79 percent of the total cover. Remote Sensing of Environment, 114, 1676-1686. In this case, 0.85 represents the measured level of interpretation accuracy for the 2011 National Land Cover Database (NLCD) Impervious Surface Estimation layer. One of the layers in the NLCD is human-built impervious surface percent. NLCD 2016 products include 20 classes of land cover for Alaska, as well as a separate product that defines impervious surfaces in urban areas (usually composed of concrete, asphalt, stone, and metal — widely recognized as a key indicator of environmental quality in urban areas). NLCD provides spatial reference and descriptive data for characteristics of the land surface such as thematic class (for example, urban, agriculture, and forest), percent impervious surface, and percent tree canopy cover. 30 meter raster, with cells classified into one of 21 land cover classes. NLCD data are public domain, and may be freely downloaded from the MRLC website. Questions about the NLCD 2011 products can be directed to the NLCD 2011 land cover mapping team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. The amount of impervious surface is an important indicator in the monitoring of the intensity of human activity and environmental change. This descriptor layer identifies types of roads, core urban areas, and energy production sites for each impervious pixel to allow deeper analysis of developed features. Updating the 2001 National Land Cover Database impervious surface products to 2006 using Landsat imagery change detection methods. See Legend. Note: These coefficients will be derived as an example in the Tutorial and the process can be repeated for other areas.) 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