The NSW green accumulation index derived from Landsat data
Data type:	Raster
Pixel size:	30 m
Base imagery:	Landsat 5 TM, Landsat 7 ETM+ (1988-2012)

Image pixel values

Raw value of area under the curve (image djj):

001 to ~9000 (unit = fraction days)

Percentile classes of % of max area under the curve (image djs):

class 1 = 0%
class 2 = 0 to <3%
class 3 = 3 to <6%
class 4 = 6 to <9%
class 5 = 9 to <12%
class 6 = 12 to <15%
class 7 = 15 to <18%
class 8 = 18 to <21%
class 9 = 21 to <24%
class 10 = 24 to <27%
class 11 = 27 to <30%
class 12 = 30 to <36%
class 13 = 36 to <42%
class 14 = 42 to <51%
class 15 ≥51%
0 = null


The standard form of the file naming convention is:

<satellite category code>
<instrument code>
<product code>
_<where>
_<when>
_<processing stage code>
_<additional dataset specific tags>

For these datasets the naming is shown below (bar-separated):

Data Naming Element | Possible Code(s) | Descriptor Standard Elements
satellite category | lz | Landsat
instrument | tm | thematic
product | re | reflective
where | pathrow | reference system two path/row identifier, for example, p096r082
when  | yYYYYYYY  | start and end year
processing stage | djj, djs | Raw values of ‘area under the curve’ per pixel, 
Percentile classes of the percent of maximum theoretical area under the curve - percentage of the maximum possible area under the curve classified into 15 discrete classes
data projection | m4,m5,m6 | Universal Transverse Mercator (UTM) Zone 54, UTM Zone 55, UTM Zone 56