{ "currentVersion" : 12, "id" : 1, "name" : "gfield_2016_UTC_diss", "type" : "Feature Layer", "serviceItemId" : "47ea878c7b7f47ebb9da5298fe16f570", "cacheMaxAge" : 30, "displayField" : "ORIG_FID", "description" : "\u003cDIV STYLE=\"text-align:Left;\"\u003e\u003cDIV\u003e\u003cDIV\u003e\u003cP\u003e\u003cSPAN\u003eThis statewide dataset contains a combination of land cover mapping from 2016 aerial imagery and land use derived from standardized assessor parcel information for Massachusetts. \u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eEach location in this layer is associated with a land cover class value as well as a parcel use code\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eAlthough both land cover and land use information are included, each of these aspects can be accessed independently, or in interesting and useful combinations with one another. For instance, a user can simply display impervious surfaces (land cover), or commercial parcels (land use). In combination, it is possible to display and measure the portions of the commercial parcels that are covered by impervious surfaces or the portions of residential parcels used as developed open space.\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eThis layer is the result of a cooperative project between MassGIS and the National Oceanic and Atmospheric Administration’s (NOAA) Office of Coastal Management (OCM). Funding was provided by the Mass. Executive Office of Energy and Environmental Affairs.\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eMassGIS stores the data as a single statewide polygon feature class named \u003c/SPAN\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003eLANDCOVER_LANDUSE_POLY\u003c/SPAN\u003e\u003cSPAN\u003ein the spatial reference of NAD_1983_Contiguous_USA_Albers (EPSG: 5070).\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003eData development\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eThe following sections describe the development and features of the two components, land cover and land use, as well as the final combined dataset.\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN STYLE=\"font-style:italic;font-weight:bold;\"\u003eLand cover\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eThe thematic land cover dataset was created in raster format by NOAA's Coastal Change Analysis Program (C-CAP). C-CAP has produced numerous standardized land cover products which are included in the National Land Cover Database. These products are used in numerous ways to assess urban growth, inventory wetlands, coastal intertidal areas, and adjacent uplands, and delineate wildlife habitat to monitor changes in these areas. This information helps in the understanding of the landscape's response to natural and human-caused changes. OCM worked in close coordination with MassGIS to produce the land cover. OCM delivered the data to MassGIS in an Albers projection.\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003e2016 NAIP imagery This 2016 land cover information was initially developed as a 1-meter, 6-category draft raster derived from 2016 USDA National Agricultural Imagery Program (NAIP) aerial multispectral imagery. Classes were impervious, bare, grass, shrub, tree, and water. Additional reference data were used to create this 19-class version, including: 2016 WorldView multispectral satellite imagery, lidar-based terrain elevation data, 2016-era 2D structures data, and other ancillary data such as MassDOT Roads, MassDEP Wetlands, etc. The wetlands in the final land cover product are exclusively from the C-CAP program and will differ from the MassDEP Wetlands data.\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eThe land cover information in this product is consistent with C-CAP’s High-Resolution Land Cover Classification Scheme (PDF). Also see General information about C-CAP High-Resolution Land Cover.\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN STYLE=\"font-style:italic;font-weight:bold;\"\u003eLand use\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eThe land use component of the data layer is represented by the Property Type Classification Code associated with each parcel in MassGIS' Standardized \"Level 3\" Parcels layer. These \"use codes\" come from the Mass. Department of Revenue Division of Local Services (DLS), along with custom use codes some municipalities include in their parcel data.\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eFor this project, MassGIS created a parcel layer using data deliverables as close as possible to the time of the 2016 NAIP imagery used for the land cover. Since parcel data complying with Level 3 of the MassGIS standard was not available from every municipality for the year 2016, some information was selected from a different year to use data as close to 2016 as possible, with the following rules:\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eIf Fiscal Year (FY) 2016 data was available, it was used. Otherwise, data was used from other years in the following order: 2017 (+1), 2015 (-1), 2018 (+2), 2014 (-2), 2013 (-3), 2012 (-4), 2011 (-5). Fiscal year values were retained in the final product to help indicate relative reliability of the USECODE.\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eMassGIS merged these parcel data into one feature class and dissolved them based on these fields: \u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:1 1 1 20;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003eUSE_CODE\u003c/SPAN\u003e\u003cSPAN\u003e: Use code from DOR DLS, along with custom use codes some municipalities include in their parcel data.\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003c/P\u003e\u003cP STYLE=\"margin:1 1 1 20;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003eFY\u003c/SPAN\u003e\u003cSPAN\u003e: Fiscal year \u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003c/P\u003e\u003cP STYLE=\"margin:1 1 1 20;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003ePOLY_TYPE\u003c/SPAN\u003e\u003cSPAN\u003e: Parcel type (FEE, TAX, ROW, WATER, PRIV_ROW, RAIL_ROW)\u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:1 1 1 20;\"\u003e\u003cSPAN /\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003eTOWN_ID\u003c/SPAN\u003e\u003cSPAN\u003e: Town ID (1-351) \u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003c/P\u003e\u003cP STYLE=\"margin:1 1 1 20;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003eGEN_CODE\u003c/SPAN\u003e\u003cSPAN\u003e: Generalized use code chosen by MassGIS for this project to simplify the 1,600+ USE_CODEs for map display. \u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN STYLE=\"font-style:italic;font-weight:bold;\"\u003eCombined Land Cover – Land Use Data\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eFor efficient processing and distribution, MassGIS split up the statewide land cover raster into 291 smaller, regularly sized and spaced tiles, each 10km by 10km (10,000 x 10,000 pixels).\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eThe Create Fishnet tool produced a polygon index that precisely fit the tiles. The tiles were identified with a TILENAME value based on row and column position. For example, TILENAME “R07C17” identifies the tile in row 7, column 17. The index is named \u003c/SPAN\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003eLANDCOVER_USE_INDEX_POLY\u003c/SPAN\u003e\u003cSPAN\u003e. Aside from TILENAME, the other field is SHP_LINK, which stores a link to download a zipped land cover-land use shapefile for each tile.\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eEach land cover image was converted to a polygon shapefile using a Raster to Shapefile model in ERDAS IMAGINE. This method preserves the thematic attributes and simplifies the polygons very slightly.\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eMassGIS carried out the following steps in ArcGIS 10.6.1: \u003c/SPAN\u003e\u003c/P\u003e\u003cUL\u003e\u003cLI\u003e\u003cP\u003e\u003cSPAN\u003eReprojected the land use polygons from Massachusetts State Plane to the same Albers projection of the land cover.\u003c/SPAN\u003e\u003c/P\u003e\u003c/LI\u003e\u003cLI\u003e\u003cP\u003e\u003cSPAN\u003eUsed the Identity tool to geometrically combine the land cover polygons with the dissolved parcel data to produce a land cover-land use feature class for each tile.\u003c/SPAN\u003e\u003c/P\u003e\u003c/LI\u003e\u003cLI\u003e\u003cP\u003e\u003cSPAN\u003eChecked and repaired the geometry of the Identity output.\u003c/SPAN\u003e\u003c/P\u003e\u003c/LI\u003e\u003cLI\u003e\u003cP\u003e\u003cSPAN\u003eConverted all multipart polygons to single-part polygons in the Identity output.\u003c/SPAN\u003e\u003c/P\u003e\u003c/LI\u003e\u003c/UL\u003e\u003cP\u003e\u003cSPAN\u003eThe Identity created numerous very small polygons because the two components (land cover and land use) were not spatially correlated. 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