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(iv) Raster Stacks of Monthly Vegetation Indices for the Phenological Analysis: 2014 to 2020

Dates

Publication Date

Citation

Petrakis, R.E., Norman, L.M., Middleton, B.R., 2023, Mapping Riparian Vegetation Response to Climate Change on the San Carlos Apache Reservation and Upper Gila River Watershed to Inform Restoration Priorities: 1935 to Present - Database of Trends in Vegetation Properties and Climate Adaptation Variables: U.S. Geological Survey data release, https://doi.org/10.5066/P9HL0N5T.

Summary

We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The full suite of data products and a link to the associated publication addressing this analysis can be found on the Parent data release. For this study, the vegetation conditions are characterized using a series of remote sensing vegetation indices developing using satellite imagery, including the Normalized Difference Vegetation Index (NDVI) and the Tasseled Cap (TC) Transformation. The NDVI is a commonly used vegetation index that quantifies [...]

Contacts

Attached Files

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Phenology_NDVI_Monthly_RasterStack.tif
“Raster Stack of Monthly NDVI for Phenological Analysis”
24.06 MB image/geotiff
Phenology_TCGreen_Monthly_RasterStack.tif
“Raster Stack of Monthly TC Greenness for Phenological Analysis”
24.64 MB image/geotiff

Purpose

These products are multi-band raster stacks that show the monthly average value for each vegetation index (i.e., NDVI, TC greenness) from January 2014 through December 2020. Each band represents a single month, where band 1 represents data for January 2014 and band 84 represents data for December 2020. In short, the raster stacks that are included in this Child Item show the monthly vegetation conditions for the riparian vegetation across portions of the Upper Gila River Level-4 Hydrologic Unit Code (HUC) watershed, and were used to identify the phenological time series for various types of vegetation.

Communities

  • National and Regional Climate Adaptation Science Centers
  • Southwest CASC

Provenance

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