WOFS_3577_14_-36_1989_summary.nc

dataset of product wofs_annual_summary
Indexed by bt2744 , created
Archived
for 1st January 1989

Fields 🔗

creation_time 2018-09-14 15:20:04 🔍 format NetCDF id 7571fefe-7897-4cc1-b557-a9979b85599b 🔍 instrument TM,ETM,OLI label • 🔍 lat -32.271 to -31.276 🔍 lon 146.897 to 148.083 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_annual_summary time 1989-01-01 00:00:00 to 1989-01-01 00:00:00 🔍

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WOFS_3577_14_-36_1989_summary.nc
ga_ls_landcover_class_cyear_2_1-0-0_au_1989-01-01

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Ann_25_2_1/netcdf/14_-36/WOFS_3577_14_-36_1989_summary.nc

Metadata Document 🔗

RAW As Stac
id: 7571fefe-7897-4cc1-b557-a9979b85599b
product_type: wofs_annual_summary
creation_dt: 2018-09-14T15:20:04.149802
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
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lon: 147.02115411496487
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lon: 146.8966175701107
ur:
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lon: 147.95000104809344
to_dt: 1989-01-01T00:00:00
from_dt: 1989-01-01T00:00:00
center_dt: 1989-01-01T00:00:00
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spatial_reference: EPSG:3577
image:
bands:
count_wet:
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frequency:
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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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fuse_func: digitalearthau.utils.wofs_fuser
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computation:
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date_ranges:
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filter_product:
var_attributes:
output_products: [
name: wofs_annual_summary
metadata:
format:
name: NetCDF
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
statistic: wofs_summary
product_type: wofs_annual_summary
output_params:
zlib: True
fletcher32: True
file_path_template: WOFS_3577_{x}_{y}_{epoch_start:%Y}_summary.nc
]
global_attributes:
title: Water Observations from Space Annual Statistics 2.1.5
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 r2866 3.10.0-862.3.3.el6.x86_64 #1 SMP Wed Jun 27 18:22:35 AEST 2018 x86_64
hostname: r2866
software_versions:
python:
version: 3.6.6 | packaged by conda-forge | (default, Jul 26 2018, 09:53:17) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
datacube:
version: 1.6rc2+108.g096a26d5
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets:
statistics:
step: 1y
period: 1y