WOFS_3577_0_-19_1992_summary.nc
dataset of product wofs_annual_summary
Indexed by bt2744
,
created
Archived
for
1st January 1992
Fields 🔗
creation_time
2018-09-14 16:11:36 🔍
format
NetCDF
id
6b9f9641-315a-4e07-8716-f12ad877b3a2 🔍
instrument
TM,ETM,OLI
label
• 🔍
lat
-17.799 to -16.891 🔍
lon
132.0 to 132.943 🔍
platform
LANDSAT_5,LANDSAT_7,LANDSAT_8
product_type
wofs_annual_summary
time
1992-01-01 00:00:00 to 1992-01-01 00:00:00 🔍
Related Datasets 🔗
Location 🔗
Metadata Document 🔗
id:
6b9f9641-315a-4e07-8716-f12ad877b3a2
product_type:
wofs_annual_summary
creation_dt:
2018-09-14T16:11:36.942101
platform:
code:
LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name:
TM,ETM,OLI
format:
name:
NetCDF
extent:
coord:
ll:
lat:
-17.799485933710905
lon:
131.99999999999997
lr:
lat:
-17.79615075226609
lon:
132.94267965049812
ul:
lat:
-16.8943667457645
lon:
131.99999999999997
ur:
lat:
-16.89104758008332
lon:
132.93577491283312
to_dt:
1992-01-01T00:00:00
from_dt:
1992-01-01T00:00:00
center_dt:
1992-01-01T00:00:00
grid_spatial:
projection:
valid_data:
type:
Polygon
coordinates:
[
[
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0.0
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[
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geo_ref_points:
ll:
x:
0.0
y:
-1900000.0
lr:
x:
100000.0
y:
-1900000.0
ul:
x:
0.0
y:
-1800000.0
ur:
x:
100000.0
y:
-1800000.0
spatial_reference:
EPSG:3577
image:
bands:
count_wet:
path:
layer:
count_wet
frequency:
path:
layer:
frequency
count_clear:
path:
layer:
count_clear
lineage:
algorithm:
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
]
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
]
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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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 r3403 3.10.0-862.3.3.el6.x86_64 #1 SMP Wed Jun 27 18:22:35 AEST 2018 x86_64
hostname:
r3403
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