<del>WOFS_3577_-15_-29_2014-04_2014-10

creation_dt 2018-11-22T16:56:18.052976 creation_time 2018-11-22 16:56:18 format NetCDF id 95615ece-5e63-48b6-b3a6-032c6313e48a instrument TM,ETM,OLI label • lat -26.067 to -25.079 lon 116.805 to 117.921 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_apr_oct_summary time 2014-04-01 00:00:00 to 2014-04-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/-15_-29/WOFS_3577_-15_-29_2014-04_2014-10_summary.nc

Metadata Document 🔗

RAW As Stac

id: 95615ece-5e63-48b6-b3a6-032c6313e48a

product_type: wofs_apr_oct_summary

creation_dt: 2018-11-22T16:56:18.052976

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -25.964561232977182

lon: 116.80507063095534

lr:

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lon: 117.80946171577355

ul:

lat: -25.07872507189103

lon: 116.92405194578751

ur:

lat: -25.180325705911706

lon: 117.92071125731216

to_dt: 2014-04-01T00:00:00

from_dt: 2014-04-01T00:00:00

center_dt: 2014-04-01T00:00:00

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spatial_reference: EPSG:3577

image:

bands:

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path:

layer: count_wet

frequency:

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layer: frequency

count_clear:

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lineage:

algorithm:

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

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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_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 r3507 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64

hostname: r3507

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: 7m