LS_WATER_3577_11_-44_20170106000403000000_v1526773851.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 6th January 2017

Fields 🔗

creation_time 2018-05-20 07:22:16 🔍 format NetCDF id d3d5f99e-d8fb-475d-9dc8-7ce4b41524e1 🔍 instrument OLI_TIRS 🔍 label • 🔍 lat -39.738 to -38.737 🔍 lon 144.561 to 145.817 🔍 platform LANDSAT_8 🔍 product_type wofs time 2017-01-06 00:04:03 to 2017-01-06 00:04:03 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/11_-44/LS_WATER_3577_11_-44_20170106000403000000_v1526773851.nc

Metadata Document 🔗

RAW As Stac
id: d3d5f99e-d8fb-475d-9dc8-7ce4b41524e1
product_type: wofs
creation_dt: 2018-05-20T07:22:16.510158
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -39.737799086034066
lon: 144.6735464460197
lr:
lat: -39.64328298835133
lon: 145.8170928872677
ul:
lat: -38.83055826737329
lon: 144.56063855747132
ur:
lat: -38.73723634430453
lon: 145.6941478416134
to_dt: 2017-01-06T00:04:03
from_dt: 2017-01-06T00:04:03
center_dt: 2017-01-06T00:04:03
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1100000.0
-4391113.667680989
]
[
1100000.0
-4300000.0
]
[
1200000.0
-4300000.0
]
[
1200000.0
-4400000.0
]
[
1125307.7623017014
-4400000.0
]
[
1100000.0
-4391113.667680989
]
]
]
geo_ref_points:
ll:
x: 1100000.0
y: -4400000.0
lr:
x: 1200000.0
y: -4400000.0
ul:
x: 1100000.0
y: -4300000.0
ur:
x: 1200000.0
y: -4300000.0
spatial_reference: EPSG:3577
image:
bands:
water:
path:
layer: water
lineage:
algorithm:
name: datacube-wofs
version: ${version}
repo_url: https://github.com/GeoscienceAustralia/wofs.git
parameters:
configuration_file: wofs_albers.yaml
machine:
uname: Linux r1501 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r1501
software_versions:
python:
version: 3.6.5 | packaged by conda-forge | (default, Mar 29 2018, 23:19:37) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
datacube:
version: 1.6rc1+28.ga69dfff5
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: