aoi_hls

The dataset comprises 144 (21-by-21) 30 m Enhanced Vegetation
 Index (EVI) values computed from Harmonized Landsat
 Sentinel-2 (HLS) reflectance data (the L30 and S30 products) from January 1, 2014 to December 31, 2019, for tile ID 18TYN (available via
 <a href="https://hls.gsfc.nasa.gov/data/">https://hls.gsfc.nasa.gov/data/</a>). This small area of interest is
 forested land on the Quabbin Reservoir Watershed System in central
 Massachusetts.

datasets

Models and associated tools for Bayesian inference of remotely sensed variables.

Andrew Finley

rsBayes

Bayesian Models for Remotely Sensed Data

Chad Babcock

aoi_hls function

The data are held in a 273420-by-7 data frame with the following columns:<dl class="dl-horizontal">
 <dt>pixel</dt><dd>is the pixel id</dd>
 <dt>x</dt><dd>easting coordinate</dd>
 <dt>y</dt><dd>northing coordinate</dd>
 <dt>sat</dt><dd>L30 for Landsat 8 and S30 for Sentinel-2</dd>
 <dt>year</dt><dd>of data collection</dd>
 <dt>doy</dt><dd>day of the year of data collection</dd>
 <dt>evi</dt><dd>computed enhanced vegetation index</dd>
</dl>The proj4string for these data is "+proj=utm +zone=18 +ellps=WGS84 +units=m +no_defs".

Format

The dataset comprises 144 (21-by-21) 30 m Enhanced Vegetation
 Index (EVI) values computed from Harmonized Landsat
 Sentinel-2 (HLS) reflectance data (the L30 and S30 products) from January 1, 2014 to December 31, 2019, for tile ID 18TYN (available via
 <a href='https://hls.gsfc.nasa.gov/data/'>https://hls.gsfc.nasa.gov/data/</a>). This small area of interest is
 forested land on the Quabbin Reservoir Watershed System in central
 Massachusetts.

aoi_hls: Enhanced Vegetation Index data

Description

Usage

Arguments

Format