This codebook.txt file was generated on <20181023> by ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset: Land Cover Shapefiles for Minneapolis and St. Paul, Minnesota 2. Author Information Primary Author Contact Information Name: Abigail Anderson Institution: University of Minnesota Twin Cities Email: awoodsanderson@gmail.com Co-Author Contact Information Name: Kyler McLachlan Institution: University of Minnesota Twin Cities 3. Date of data development: October 2016 to August 2017 4. Geographic location of data collection (where was data collected?): Minneaplis and St. Paul, Minnesota. Minneapolis centroid: UTM 15N 479535 4980722 St. Paul centroid: UTM 15N 492734 4976993 5. Information about funding sources that supported the collection of the data: none 6. Acknowledgements: The authors acknowledge guidance and assistance provided by the following: Rob Blair, Trevor Host, Andy Jenks, Don Kilberg, Keith Pelletier, Lian Rampi, and U-Spatial. -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC0 1.0 Universal 2. Links to publications that cite or use the data: none 3. Links to other publicly accessible locations of the data: none 4. Links/relationships to ancillary data sets: none 5. Was data derived from another source? If yes, list source(s): Twin Cities Metro Lidar 2011 (DEM): ftp://ftp.lmic.state.mn.us/pub/data/elevation/lidar/projects/metro/lidar_metro2011.html#Identification_Information Digitial surface models: Derived from Twin Cities Metro Lidar 2011, produced in LASTools using “spike-free” algorithm with assistance from U of MN student Trevor Host LiDAR Intensity models: Derived from Twin Cities Metro Lidar 2011, produced in LASTools (las2dem function) and then mosaicked using ERDAS Imagine Mosaic Pro NAIP 2010 aerial imagery: https://gisdata.mn.gov/dataset/base-naip-2010-airphotos NAIP 2013 aerial imagery: https://gisdata.mn.gov/dataset/base-naip-2013-airphotos National Wetland Inventory (NWI): ftp://ftp.gisdata.mn.gov/pub/gdrs/data/pub/us_mn_state_dnr/water_nat_wetlands_inv_2009_2014/metadata/metadata.html Open Street Maps (OSM) building data accessed October 2016 6. Recommended citation for the data: Anderson, Abigail W; McLachlan, K. (2018). Land Cover Shapefiles for Minneapolis and St. Paul, Minnesota. Retrieved from the Data Repository for the University of Minnesota, http://hdl.handle.net/11299/200700. --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: Minneapolis_LandCover Short description: Shapefile (.dbf, .prj, .shp, and .shx) of land cover in 10 categories created via OBIA, 1 meter resolution B. Filename: MinneapolisRuleSet Short description: Text file documentation of OBIA rule set used to develop "Minneapolis_LandCover" shapefile C. Filename: StPaul_LandCover Short description: Shapefile (.dbf, .prj, .shp, and .shx) of land cover in 10 categories created via OBIA, 1 meter resolution D. Filename: StPaulRuleSet Short description: Text file documentation of OBIA rule set used to develop "StPaul_LandCover" shapefile E. Filename: Developing a land cover model of urban sites using remotely sensed data Short description: PDF contains a brief report on the objectives and methods for this land cover project. 2. Relationship between files: Both shapefiles were created using similar data sources and analytical methods. Text files document complete analytical methods for developing land cover data. PDF provides context and additional details for this project. 3. Additional related data collected that was not included in the current data package: none. 4. Are there multiple versions of the dataset? no -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: To classify land cover in the study site, multiple sources of spatial data were integrated, analyzed, and interpreted using Object-based Image Analysis (OBIA). The analysis was conducted using eCognition (version 4.0) published by Definiens. The objective was to discriminate potential cover and foraging habitat (i.e. vegetation and water) for migrating birds, from features that are less suitable (i.e. buildings and impervious surfaces). 2. Methods for processing the data: OBIA rule sets were developed to classify land cover into 10 categories ("Class_name"), as follows: 1. Bare or compacted earth (i.e. mulch, dead turf grass, and other non-paved surfaces) 2. Buildings 3. Elevated Greenspace 4. Fountian or Pool 5. Impervious and unknown 6. Roads 7. Shrub 8. Trees 9. Turf 10. Water Complete OBIA rule sets are documented in text files. In simplest terms, classification steps were as follows: A. Building polygons were classified using OSM data. B. Vegetation (inclusive of elevated greenspaces, shrubs, turf, and trees) was identified using NDVI (Normalized Difference Vegetation Index). C. Vegetation was further classified as elevated greenspace, shrubs, turf, or trees using nDSM values and/or overlap with building polygons. D. Areas of "bare or compacted earth" did not satisfy NDVI values set for vegetation, but did not conform with attributes of impervious surfaces, either. Presumably, these areas might contain vegetation in temporal frames outside NAIP imagery. E. Water was classified using NWI. The additional class of "fountain or pool" captures built/artificial water features that are distinct from natural water features and may be relevant to wildlife. F. Roads were classified using OSM data. 3. Instrument- or software-specific information needed to interpret the data: ArcMap by ESRI 4. Standards and calibration information, if appropriate: none 5. Environmental/experimental conditions: none 6. Describe any quality-assurance procedures performed on the data: none 7. People involved with sample collection, processing, analysis and/or submission: Abigail Anderson, Kyler McLachlan. The authors acknowledge guidance and assistance provided by the following: Rob Blair, Trevor Host, Andy Jenks, Don Kilberg, Keith Pelletier, Lian Rampi, and U-Spatial. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Minneapolis_LandCover ----------------------------------------- 1. Number of variables: 3 2. Number of cases/rows: 155390 3. Missing data codes: none (unidentified land cover was classified as "Impervious and unknown") 4. Variable List A. Name: FID Description: ID value assigned to spatial feature B. Name: Shape Description: Type of spatial feature (all polygons) C. Name: Class_name Description: land cover category assigned to spatial feature Bare or compacted earth (mulch, dead turf grass, and other non-paved surfaces) Buildings Elevated Greenspace Fountian or Pool Impervious and unknown Roads Shrub Trees Turf Water ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: StPaul_LandCover ----------------------------------------- 1. Number of variables: 3 2. Number of cases/rows: 199400 3. Missing data codes: none (unidentified land cover was classified as "Impervious and unknown") 4. Variable List A. Name: FID Description: ID value assigned to spatial feature B. Name: Shape Description: Type of spatial feature (all polygons) C. Name: Class_name Description: land cover category assigned to spatial feature Bare or compacted earth (mulch, dead turf grass, and other non-paved surfaces) Buildings Elevated Greenspace Fountian or Pool Impervious and unknown Roads Shrub Trees Turf Water