WOFS_3577_-12_-21_2020

creation_dt 2021-02-19T06:18:47.587069 creation_time 2021-02-19 06:18:47 format NetCDF id 703dff5a-ddaf-4af3-bdd6-8236eadd04ba instrument TM,ETM,OLI label • lat -19.196 to -18.22 lon 120.549 to 121.576 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

Locations

Active:

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Ann_25_2_1/netcdf/-12_-21/WOFS_3577_-12_-21_2020_summary.nc

Metadata Document

RAW As Stac

id: 703dff5a-ddaf-4af3-bdd6-8236eadd04ba

product_type: wofs_annual_summary

creation_dt: 2021-02-19T06:18:47.587069

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -19.118719579584067

lon: 120.54895728770917

lr:

lat: -19.196024675171063

lon: 121.49872478221846

ul:

lat: -18.220354621126233

lon: 120.6336313242617

ur:

lat: -18.297260057849506

lon: 121.5764413765341

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: [

[

-1200000.0

-2014118.418442314

]

[

-1200000.0

-2000000.0

]

[

-1100000.0

-2000000.0

]

[

-1100000.0

-2100000.0

]

[

-1200000.0

-2100000.0

]

[

-1200000.0

-2014118.418442314

]

geo_ref_points:

ll:

x: -1200000.0

y: -2100000.0

lr:

x: -1100000.0

y: -2100000.0

ul:

x: -1200000.0

y: -2000000.0

ur:

x: -1100000.0

y: -2000000.0

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