LS_WATER_3577_20_-33_20150401234130500000_v1526766106.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 2nd April 2015

Fields 🔗

creation_time 2018-05-20 11:31:20 format NetCDF id b6586c6f-0889-406e-b2c8-d6dee2e7c3a3 instrument OLI_TIRS label • lat -28.585 to -27.842 🔍 lon 152.672 to 153.805 🔍 platform LANDSAT_8 product_type wofs time 2015-04-01 23:41:30 to 2015-04-01 23:41:30 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/20_-33/LS_WATER_3577_20_-33_20150401234130500000_v1526766106.nc

Metadata Document 🔗

RAW As Stac
id: b6586c6f-0889-406e-b2c8-d6dee2e7c3a3
product_type: wofs
creation_dt: 2018-05-20T11:31:20.783693
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -28.58495210134968
lon: 152.78489725515396
lr:
lat: -28.437051788034367
lon: 153.80454130247603
ul:
lat: -27.989589312793527
lon: 152.67208446793745
ur:
lat: -27.842493610545517
lon: 153.68640386522375
to_dt: 2015-04-01T23:41:30.500000
from_dt: 2015-04-01T23:41:30.500000
center_dt: 2015-04-01T23:41:30.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
2000000.0
-3226209.699121752
]
[
2000000.0
-3200000.0
]
[
2100000.0
-3200000.0
]
[
2100000.0
-3267678.543397816
]
[
2000000.0
-3226209.699121752
]
]
]
geo_ref_points:
ll:
x: 2000000.0
y: -3300000.0
lr:
x: 2100000.0
y: -3300000.0
ul:
x: 2000000.0
y: -3200000.0
ur:
x: 2100000.0
y: -3200000.0
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 r718 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r718
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: