Environmental Data Initiative logo
EDI Development Environment

This data package was submitted to a development environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

Data Package Summary    View Full Metadata

  • Land-cover mapping of the central Arizona region based on 2015 National Agriculture Imagery Program (NAIP) imagery
  • Zhang, Yujia; Arizona State University
    Turner II, Billie; Arizona State University
  • 2020-09-24
  • Zhang, Y. and B. Turner II. 2020. Land-cover mapping of the central Arizona region based on 2015 National Agriculture Imagery Program (NAIP) imagery ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-11-21).

  • Detailed land-cover mapping is essential for a range of research issues addressed by sustainability science, especially for questions posed of urban areas, such as those of the Central Arizona-Phoenix Long-Term Ecological Research (CAP LTER) program. This project provides a 1-meter land-cover mapping of the CAP LTER study area (greater Phoenix metropolitan area and surrounding Sonoran desert). The mapping is generated primarily using 2015 National Agriculture Imagery Program (NAIP) four-band data, with auxiliary GIS data used to improve accuracy. Auxiliary data include the 2015 cadastral parcel data, the 2014 USGS LiDAR data (1-meter), the 2014 Microsoft/OpenStreetMap Building Footprint data, the 2015 Street TIGER/Line, and a previous (2010) NAIP-based land-cover map of the study area (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-cap&identifier=623). Among auxiliary data, building footprints and LiDAR data significantly improved the boundary detection of above-ground objects. Post-classification, manual editing was applied to minimize classification errors. As a result, the land-cover map achieves an overall accuracy of 94 per cent. The map contains eight land cover classes, including: (1) building, (2) asphalt, (3) bare soil and concrete, (4) tree and shrub, (5) grass, (6) water, (7) active cropland, and (8) fallow. When compared to the aforementioned, previous (2010) NAIP-based land-cover map for the study area, buildings and tree canopies are classified more accurately in this 2015 land-cover map.

  • N: 33.8871      S: 33.1756      E: -111.5581      W: -112.8256
  • knb-lter-cap.685.1  (Uploaded 2020-09-24)  
  • View Full Metadata (39 views)
  • View Quality Report
  • Data Entities:
    1. 685_accuracy_assessment_3450f3e8c9db5f54201e390e06839630.csv  (354 B; 7 downloads) 
    2. 685_land_cover_classes_37ee358ab2c5f550bebcc36751f67fe4.csv  (898 B; 8 downloads) 
    3. 685_land_cover_1m_2015_a8db4e50b4c88ceaf4e11cb73616f316.tif  (420.7 MiB; 5 downloads) 
    4. 685_LiDAR_extent.kml  (19.8 KiB; 5 downloads) 
    5. 685_land_cover_1m_2015_01d2be822e676e572bae5829b3124096.clr  (112 B; 5 downloads) 
    6. 685_land_cover_1m_2015_30df46aeafa3405285513e1435f40973.dbf  (842 B; 5 downloads) 
  • This data package is released to the "public domain" under Creative Commons CC0 1.0 "No Rights Reserved" (see: https://creativecommons.org/publicdomain/zero/1.0/). The consumer of these data ("Data User" herein) has an ethical obligation to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or coauthorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
  • Analyze this data package using:           

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

UNM logo UW-M logo