<del>WOFS_3577_5_-33_2020_summary.nc</del>

creation_time 2021-02-19 07:10:21 format NetCDF id ee811309-e0c1-4cf0-88d5-fca0a1274f94 instrument TM,ETM,OLI label • lat -30.235 to -29.304 lon 137.211 to 138.303 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_annual_summary time 2020-01-01 00:00:00 to 2020-01-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Ann_25_2_1/netcdf/5_-33/WOFS_3577_5_-33_2020_summary.nc

Metadata Document 🔗

RAW As Stac

id: ee811309-e0c1-4cf0-88d5-fca0a1274f94

product_type: wofs_annual_summary

creation_dt: 2021-02-19T07:10:21.546905

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -30.235487609665515

lon: 137.25354150142797

lr:

lat: -30.195151061371682

lon: 138.30268749062495

ul:

lat: -29.344333803147297

lon: 137.2107107405026

ur:

lat: -29.304347279499147

lon: 138.2513284587783

to_dt: 2020-01-01T00:00:00

from_dt: 2020-01-01T00:00:00

center_dt: 2020-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

500000.0

-3208322.56386164

]

[

500000.0

-3200000.0

]

[

600000.0

-3200000.0

]

[

600000.0

-3300000.0

]

[

500000.0

-3300000.0

]

[

500000.0

-3208322.56386164

]

geo_ref_points:

ll:

x: 500000.0

y: -3300000.0

lr:

x: 600000.0

y: -3300000.0

ul:

x: 500000.0

y: -3200000.0

ur:

x: 600000.0

y: -3200000.0

spatial_reference: EPSG:3577

image:

bands:

count_wet:

path:

layer: count_wet

frequency:

path:

layer: frequency

count_clear:

path:

layer: count_clear

lineage:

algorithm:

version: 1.0.2

repo_url: https://github.com/GeoscienceAustralia/datacube-stats.git

parameters:

configuration_file:

sources: [

product: wofs_albers

group_by: solar_day

fuse_func: digitalearthau.utils.wofs_fuser

mask_nodata: False

measurements: [

water

]

source_filter:

product: ls5_level1_scene

gqa_iterative_mean_xy: [

]

product: wofs_albers

group_by: solar_day

fuse_func: digitalearthau.utils.wofs_fuser

mask_nodata: False

measurements: [

water

]

source_filter:

product: ls7_level1_scene

gqa_iterative_mean_xy: [

]

product: wofs_albers

group_by: solar_day

fuse_func: digitalearthau.utils.wofs_fuser

mask_nodata: False

measurements: [

water

]

source_filter:

product: ls8_level1_scene

gqa_iterative_mean_xy: [

]

storage:

crs: EPSG:3577

driver: NetCDF CF

chunking:

x: 200

y: 200

time: 1

tile_size:

x: 100000.0

y: 100000.0

resolution:

x: 25

y: -25

dimension_order: [

time

]

location: ./output

computation:

chunking:

x: 4000

y: 4000

date_ranges:

end_date: 2021-01-01

step_size: 1y

start_date: 2020-01-01

stats_duration: 1y

input_region: null

filter_product:

var_attributes:

output_products: [

metadata:

format:

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

statistic: wofs_summary

product_type: wofs_annual_summary

output_params:

zlib: True

fletcher32: True

file_path_template: annual/wofs_{x}_{y}_stats_{epoch_start:%Y%m%d}_{epoch_end:%Y%m%d}.nc

]

global_attributes:

machine:

uname: Linux gadi-cpu-clx-2924.gadi.nci.org.au 4.18.0-240.1.1.el8.nci.x86_64 #1 SMP Tue Dec 15 02:36:21 UTC 2020 x86_64

hostname: gadi-cpu-clx-2924.gadi.nci.org.au

software_versions:

python:

version: 3.6.10 | packaged by conda-forge | (default, Apr 24 2020, 16:44:11) [GCC 7.3.0]

datacube:

version: 1.8.3

repo_url: https://github.com/opendatacube/datacube-core.git

source_datasets:

statistics:

step: 1y

period: 1y