Table 2.

An explanation of the sections, for example, text string (in text), which shows the format of data subsets written in the ASCII text file outputs from MODISSubsets. These ASCII files can be read back into an R workspace using read.csv(“filename.asc”, header = FALSE, as.is = TRUE). The resulting data.frame would contain columns for each section described below and rows for each date in the time series

Section description	Example
Number of tile rows	1
Number of tile columns	1
x-coordinate (MODIS datum longitude) for lower left corner of tile	13702705
y-coordinate (MODIS datum latitude) for lower left corner of tile	–3709977
Pixel size (meters)	231.6564
Unique Identifier	MOD13Q1.A2009001.h30v12.005.2009020003129.250m_16_days_EVI
Shortname code for the MODIS product requested	MOD13Q1
Date code for this string of data, year and Julian day (A[YYYYDDD])	A2009001
Input coordinates and the width (Samp) and height (Line) in number of pixels of the tile surrounding the input coordinate	Lat-33.3636449991Lon147.548402Samp1Line1
Date–time that MODIS data product was processed (YYYYDDDHHMMSS)	2009020003129
All values following are data for each pixel in the tile (n = Samp × Line), which are ordered by row. The number of columns should equal the number of pixels in the tile – in this case 1. See ?ExtractTile to rearrange the data back into spatially ordered tiles.	1567