LS_WATER_3577_0_-35_20200529003008000000_v1591944321.nc

dataset of product wofs_albers
Indexed by lpgs , created
Archived
for 29th May 2020

Fields 🔗

creation_time 2020-06-12 07:47:18 🔍 format NetCDF id b716a27e-bbad-459f-bb4a-4ba72ded3b72 🔍 instrument ETM 🔍 label • 🔍 lat -32.112 to -31.216 🔍 lon 132.543 to 133.069 🔍 platform LANDSAT_7 🔍 product_type wofs time 2020-05-29 00:30:08 to 2020-05-29 00:30:08 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/0_-35/LS_WATER_3577_0_-35_20200529003008000000_v1591944321.nc

Metadata Document 🔗

RAW As Stac
id: b716a27e-bbad-459f-bb4a-4ba72ded3b72
product_type: wofs
creation_dt: 2020-06-12T07:47:18.613828
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -32.11225632357796
lon: 132.5470665351756
lr:
lat: -32.10949630747245
lon: 133.06886782538226
ul:
lat: -31.21882800263388
lon: 132.54252743225302
ur:
lat: -31.21609389215026
lon: 133.05999955116872
to_dt: 2020-05-29T00:30:08
from_dt: 2020-05-29T00:30:08
center_dt: 2020-05-29T00:30:08
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
100000.0
-3500000.0
]
[
51180.9880786817
-3500000.0
]
[
67524.38322131953
-3431332.7440547533
]
[
74997.9831870906
-3400000.0
]
[
100000.0
-3400000.0
]
[
100000.0
-3500000.0
]
]
]
geo_ref_points:
ll:
x: 0.0
y: -3500000.0
lr:
x: 100000.0
y: -3500000.0
ul:
x: 0.0
y: -3400000.0
ur:
x: 100000.0
y: -3400000.0
spatial_reference: EPSG:3577
image:
bands:
water:
path:
layer: water
lineage:
algorithm:
name: wofs
version: 1.5.3
repo_url: https://github.com/GeoscienceAustralia/wofs.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/20200610/wofs/config/wofs_albers.yaml
machine:
uname: Linux gadi-cpu-clx-2832.gadi.nci.org.au 4.18.0-147.5.1.el8.nci.x86_64 #1 SMP Tue Mar 17 06:23:28 UTC 2020 x86_64
hostname: gadi-cpu-clx-2832.gadi.nci.org.au
software_versions:
python:
version: 3.6.10 | packaged by conda-forge | (default, Apr 24 2020, 16:44:11) [GCC 7.3.0]
datacube:
version: 1.8.0
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: