WOFS_3577_9_-18_1999_summary.nc
dataset of product wofs_annual_summary
Indexed by bt2744
,
created
Archived
for
1st January 1999
Fields 🔗
creation_time
2018-09-14 15:59:17 🔍
format
NetCDF
id
737eac6a-f8d1-4aa9-80f4-f833ed8b1f04 🔍
instrument
TM,ETM,OLI
label
• 🔍
lat
-16.626 to -15.657 🔍
lon
140.349 to 141.341 🔍
platform
LANDSAT_5,LANDSAT_7,LANDSAT_8
product_type
wofs_annual_summary
time
1999-01-01 00:00:00 to 1999-01-01 00:00:00 🔍
Location 🔗
Metadata Document 🔗
id:
737eac6a-f8d1-4aa9-80f4-f833ed8b1f04
product_type:
wofs_annual_summary
creation_dt:
2018-09-14T15:59:17.538735
platform:
code:
LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name:
TM,ETM,OLI
format:
name:
NetCDF
extent:
coord:
ll:
lat:
-16.625697673841323
lon:
140.4099559082236
lr:
lat:
-16.5627298608884
lon:
141.34123401981452
ul:
lat:
-15.719397758125753
lon:
140.34897679852898
ur:
lat:
-15.656710417073214
lon:
141.27354765915223
to_dt:
1999-01-01T00:00:00
from_dt:
1999-01-01T00:00:00
center_dt:
1999-01-01T00:00:00
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:
[
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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13
-22
]
,
[
13
-23
]
,
[
13
-24
]
,
[
13
-25
]
,
[
13
-26
]
,
[
13
-27
]
,
[
13
-28
]
,
[
13
-29
]
,
[
13
-30
]
,
[
13
-31
]
,
[
13
-32
]
,
[
]
13
-33
]
,
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 r2443 3.10.0-862.3.3.el6.x86_64 #1 SMP Wed Jun 27 18:22:35 AEST 2018 x86_64
hostname:
r2443
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