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Data Package Summary    View Full Metadata

  • Land use and land cover (LULC) classification of the CAP LTER study area (central Arizona, USA) area using 2015 Landsat imagery
  • Sabu, Sandeep; Arizona State University
    Frazier, Amy; Arizona State University
  • 2022-07-26
  • Sabu, S. and A. Frazier. 2022. Land use and land cover (LULC) classification of the CAP LTER study area (central Arizona, USA) area using 2015 Landsat imagery ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-11-21).

  • overview

    The project aims to extend the CAP LTER long-term, land-use/land-cover (LULC) datasets to facilitate environmental change monitoring and social-ecological studies regarding urban sprawl and dynamics, urban heat islands, and outdoor water consumption, among others. Six LULC maps at 30 m resolution were previously created from 1985 to 2010 at five year intervals (Zhang and Li, 2017). This project updates that suite with a seventh map for 2015. As with the prior set, systematic object-based classification was utilized to ensure map consistency and direct comparison capability over time. The map comprises 11 land-use/land-cover classes with an overall accuracy of 89.1%.

    literature cited

  • N: 33.8997      S: 33.1502      E: -111.501      W: -112.8336
  • knb-lter-cap.704.1  (Uploaded 2022-07-26)  
  • 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

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