<del>WOFS_3577_4_-18_2020-04_2020-10

creation_dt 2021-02-22T23:51:30.120102 creation_time 2021-02-22 23:51:30 format NetCDF id a8896daf-3f14-4b56-a1c5-577b499690b4 instrument TM,ETM,OLI label • lat -16.841 to -15.904 lon 135.715 to 136.677 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_apr_oct_summary time 2020-04-01 00:00:00 to 2020-04-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/4_-18/WOFS_3577_4_-18_2020-04_2020-10_summary.nc

Metadata Document 🔗

RAW As Stac

id: a8896daf-3f14-4b56-a1c5-577b499690b4

product_type: wofs_apr_oct_summary

creation_dt: 2021-02-22T23:51:30.120102

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -16.8412669214876

lon: 135.74209603238592

lr:

lat: -16.811404657822777

lon: 136.67686790720902

ul:

lat: -15.933997405893455

lon: 135.71490045454055

ur:

lat: -15.904270329179145

lon: 136.64288970942724

to_dt: 2020-04-01T00:00:00

from_dt: 2020-04-01T00:00:00

center_dt: 2020-04-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

400000.0

-1758119.6203852403

]

[

400000.0

-1700000.0

]

[

500000.0

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]

[

500000.0

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]

[

400000.0

-1800000.0

]

[

400000.0

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]

geo_ref_points:

ll:

x: 400000.0

y: -1800000.0

lr:

x: 500000.0

y: -1800000.0

ul:

x: 400000.0

y: -1700000.0

ur:

x: 500000.0

y: -1700000.0

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: 2020-11-01

step_size: 1y

start_date: 2020-04-01

stats_duration: 7m

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_apr_oct_summary

output_params:

zlib: True

fletcher32: True

file_path_template: WOFS_3577_{x}_{y}_{epoch_start:%Y-%m}_{epoch_end:%Y-%m}_summary.nc

]

global_attributes:

title: Water Observations from Space April to October Statistics

cmi_id: WO-STATS_25_2.1.5

source: Water Observations from Space Detection Algorithm v1.5

license: CC BY Attribution 4.0 International License

summary: WOfS-STATS (WO_STATS_2.1.5) is a set of statistical summaries of the water observations contained in WOfS (WO_2.1.5). The layers available are: the count of clear observations; the count of wet observations; the percentage of wet observations over time.

keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,ETM+,TM,OLI,EARTH SCIENCE,SURFACE WATER,FLOOD

references: N. Mueller, A. Lewis, D. Roberts, S. Ring, R. Melrose, J. Sixsmith, L. Lymburner, A. McIntyre, P. Tan, S. Curnow, A. Ip, Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia, Remote Sensing of Environment, Volume 174, 1 March 2016, Pages 341-352, ISSN 0034-4257, http://dx.doi.org/10.1016/j.rse.2015.11.003. (http://www.sciencedirect.com/science/article/pii/S0034425715301929)

institution: Commonwealth of Australia (Geoscience Australia)

cdm_data_type: Grid

product_suite: Water Observations from Space Statistics 25m

publisher_url: http://www.ga.gov.au

publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia

product_version: 2.1.5

publisher_email: earth.observation@ga.gov.au

keywords_vocabulary: GCMD

machine:

uname: Linux gadi-cpu-clx-2755.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-2755.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: 7m