WOFS_3577_-2_-24_2007_summary.nc
dataset of product wofs_annual_summary
Indexed by bt2744
,
created
Archived
for
1st January 2007
Fields 🔗
creation_time
2018-09-14 14:50:38 🔍
format
NetCDF
id
f8914a37-02b7-4974-91b4-ade484e2af8a 🔍
instrument
TM,ETM,OLI
label
• 🔍
lat
-22.292 to -21.386 🔍
lon
130.043 to 131.029 🔍
platform
LANDSAT_5,LANDSAT_7,LANDSAT_8
product_type
wofs_annual_summary
time
2007-01-01 00:00:00 to 2007-01-01 00:00:00 🔍
Location 🔗
Metadata Document 🔗
id:
f8914a37-02b7-4974-91b4-ade484e2af8a
product_type:
wofs_annual_summary
creation_dt:
2018-09-14T14:50:38.259941
platform:
code:
LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name:
TM,ETM,OLI
format:
name:
NetCDF
extent:
coord:
ll:
lat:
-22.282099808410045
lon:
130.042534328125
lr:
lat:
-22.292388706462688
lon:
131.02120971844266
ul:
lat:
-21.386188417226293
lon:
130.05741525160005
ur:
lat:
-21.396414516166487
lon:
131.0286514804241
to_dt:
2007-01-01T00:00:00
from_dt:
2007-01-01T00:00:00
center_dt:
2007-01-01T00:00:00
grid_spatial:
projection:
valid_data:
type:
Polygon
coordinates:
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spatial_reference:
EPSG:3577
image:
bands:
count_wet:
path:
layer:
count_wet
frequency:
path:
layer:
frequency
count_clear:
path:
layer:
count_clear
lineage:
algorithm:
name:
datacube-stats
version:
0.9b1
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
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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:
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dimension_order:
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time
y
x
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location:
/g/data/u46/users/bt2744/work/data/wofs/output/prod/annualstats
computation:
chunking:
x:
2000
y:
2000
date_ranges:
end_date:
2018-01-01
step_size:
1y
start_date:
1985-01-01
stats_duration:
1y
input_region:
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-6
-33
]
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[
-6
-34
]
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[
-6
-35
]
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[
-6
-36
]
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[
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-37
]
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[
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-38
]
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[
-6
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[
-6
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]
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[
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]
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[
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-11
]
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[
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-12
]
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[
-5
-13
]
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[
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-14
]
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[
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-15
]
,
[
-5
-16
]
,
[
-5
-17
]
,
[
-5
-18
]
,
[
-5
-19
]
,
[
-5
-20
]
,
[
-5
-21
]
,
[
-5
-22
]
,
[
-5
-23
]
,
[
-5
-24
]
,
[
-5
-25
]
,
[
-5
-26
]
,
[
-5
-27
]
,
[
-5
-28
]
,
[
-5
-29
]
,
[
-5
-30
]
,
[
-5
-31
]
,
[
-5
-32
]
,
[
-5
-33
]
,
[
-5
-34
]
,
[
-5
-35
]
,
[
-5
-36
]
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[
-5
-37
]
,
[
-5
-38
]
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[
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-10
]
,
[
-4
-11
]
,
[
-4
-12
]
,
[
-4
-13
]
,
[
-4
-14
]
,
[
-4
-15
]
,
[
-4
-16
]
,
[
-4
-17
]
,
[
-4
-18
]
,
[
-4
-19
]
,
[
-4
-20
]
,
[
-4
-21
]
,
[
-4
-22
]
,
[
-4
-23
]
,
[
-4
-24
]
,
[
-4
-25
]
,
[
-4
-26
]
,
[
-4
-27
]
,
[
-4
-28
]
,
[
-4
-29
]
,
[
-4
-30
]
,
[
-4
-31
]
,
[
-4
-32
]
,
[
-4
-33
]
,
[
-4
-34
]
,
[
-4
-35
]
,
[
-4
-36
]
,
[
-4
-37
]
,
[
-4
-38
]
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[
-3
-10
]
,
[
-3
-11
]
,
[
-3
-12
]
,
[
-3
-13
]
,
[
-3
-14
]
,
[
-3
-15
]
,
[
-3
-16
]
,
[
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-17
]
,
[
-3
-18
]
,
[
-3
-19
]
,
[
-3
-20
]
,
[
-3
-21
]
,
[
-3
-22
]
,
[
-3
-23
]
,
[
-3
-24
]
,
[
-3
-25
]
,
[
-3
-26
]
,
[
-3
-27
]
,
[
-3
-28
]
,
[
-3
-29
]
,
[
-3
-30
]
,
[
-3
-31
]
,
[
-3
-32
]
,
[
-3
-33
]
,
[
-3
-34
]
,
[
-3
-35
]
,
[
-3
-36
]
,
[
-3
-37
]
,
[
-3
-38
]
,
[
-2
-10
]
,
[
-2
-11
]
,
[
-2
-12
]
,
[
-2
-13
]
,
[
-2
-14
]
,
[
-2
-15
]
,
[
-2
-16
]
,
[
-2
-17
]
,
[
-2
-18
]
,
[
-2
-19
]
,
[
-2
-20
]
,
[
-2
-21
]
,
[
-2
-22
]
,
[
-2
-23
]
,
[
-2
-24
]
,
[
-2
-25
]
,
[
-2
-26
]
,
[
-2
-27
]
,
[
-2
-28
]
,
[
-2
-29
]
,
[
-2
-30
]
,
[
-2
-31
]
,
[
]
-2
-32
]
,
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 r3132 3.10.0-862.3.3.el6.x86_64 #1 SMP Wed Jun 27 18:22:35 AEST 2018 x86_64
hostname:
r3132
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