<del>WOFS_3577_6_-33_1999-11_2000-03

creation_time 2018-11-28 10:11:33 format NetCDF id a7cb71f9-afd3-49f5-9007-aa28778ec597 instrument TM,ETM,OLI label • lat -30.195 to -29.257 lon 138.251 to 139.351 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_nov_mar_summary time 1999-11-01 00:00:00 to 1999-11-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Nov_Mar_25_2_1/netcdf/6_-33/WOFS_3577_6_-33_1999-11_2000-03_summary.nc

Metadata Document 🔗

RAW As Stac

id: a7cb71f9-afd3-49f5-9007-aa28778ec597

product_type: wofs_nov_mar_summary

creation_dt: 2018-11-28T10:11:33.744778

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -30.195151061371675

lon: 138.30268749062492

lr:

lat: -30.147501460947158

lon: 139.35098340467428

ul:

lat: -29.30434727949914

lon: 138.25132845877823

ur:

lat: -29.257110250305985

lon: 139.291116680495

to_dt: 1999-11-01T00:00:00

from_dt: 1999-11-01T00:00:00

center_dt: 1999-11-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

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geo_ref_points:

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x: 600000.0

y: -3300000.0

lr:

x: 700000.0

y: -3300000.0

ul:

x: 600000.0

y: -3200000.0

ur:

x: 700000.0

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: 0.9b4

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

]

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: /g/data/u46/users/bt2744/work/data/wofs/output/prod/seasonal_stats/wet

computation:

chunking:

x: 2000

y: 2000

date_ranges:

end_date: 2018-04-01

step_size: 1y

start_date: 1986-11-01

stats_duration: 5m

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filter_product:

var_attributes:

output_products: [

metadata:

format:

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

statistic: wofs_summary

product_type: wofs_nov_mar_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 November to March 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 r2456 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64

hostname: r2456

software_versions:

python:

version: 3.6.6 | packaged by conda-forge | (default, Oct 12 2018, 14:08:43) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]

datacube:

version: 1.6.1+72.gdfc6b47a

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

source_datasets:

statistics:

step: 1y

period: 5m