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  • Numerical summaries of vegetation indices and land surface temperature derived from remotely sensed imagery in Phoenix Area Social Survey (PASS) neighborhoods of central Arizona
  • Stuhlmacher, Michelle; Arizona State University
  • 2019-10-03
  • Stuhlmacher, M. 2019. Numerical summaries of vegetation indices and land surface temperature derived from remotely sensed imagery in Phoenix Area Social Survey (PASS) neighborhoods of central Arizona ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-11-21).

  • This project calculates two vegetation indices: Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI), and land surface temperature (LST) from remotely sensed imagery. NDVI and SAVI are calculated from the 2010 and 2017 NAIP imagery (1-m resolution). LST is calculated from Landsat 5 and 8 imagery (30-m resolution) from summer months in 1985, 1990, 1995, 2000, 2005, 2010, and 2015 using study neighborhoods each from the 2011 and 2017 PASS study area boundaries. Tabular summaries of the mean, median, minimum, maximum, and standard deviation of the NDVI, SAVI, and LST values for the 2011 and 2017 Phoenix Area Social Survey boundaries (45 and 12 neighborhoods, respectively) are provided.

  • N: 34.01      S: 32.91      E: -111.59      W: -113.34
  • knb-lter-cap.668.1  (Uploaded 2019-10-03)  
  • Copyright Board of Regents, Arizona State University. This information is released to the public and may be used for academic, educational, or commercial purposes subject to the following restrictions. While the CAP LTER will make every effort possible to control and document the quality of the data it publishes, the data are made available 'as is'. The CAP LTER cannot assume responsibility for damages resulting from mis-use or mis-interpretation of datasets, or from errors or omissions that may exist in the data. It is considered a matter of professional ethics to acknowledge the work of other scientists that has resulted in data used in subsequent research. The CAP LTER expects that any use of data from this server will be accompanied with the appropriate citations and acknowledgments. The CAP LTER encourages users to contact the original investigator responsible for the data that they are accessing. Where appropriate, researchers whose projects are integrally dependent on CAP LTER data are encouraged to consider collaboration and/or co-authorship with original investigators. The CAP LTER requests that users submit to the Julie Ann Wrigley Global Institute of Sustainability at Arizona State University reference to any publication(s) resulting from the use of data obtained from this site.
  • DOI PLACE HOLDER
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