LS_WATER_3577_8_-20_20200810001534000000_v1597891757.nc

dataset of product wofs_albers
Indexed by lpgs , created
Archived
for 10th August 2020

Fields 🔗

creation_time 2020-08-20 03:01:21 🔍 format NetCDF id e6997065-0c30-4649-aae9-a4b18bb4851f 🔍 instrument ETM 🔍 label • 🔍 lat -17.928 to -17.581 🔍 lon 139.533 to 139.651 🔍 platform LANDSAT_7 🔍 product_type wofs time 2020-08-10 00:15:34 to 2020-08-10 00:15:34 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/8_-20/LS_WATER_3577_8_-20_20200810001534000000_v1597891757.nc

Metadata Document 🔗

RAW As Stac
id: e6997065-0c30-4649-aae9-a4b18bb4851f
product_type: wofs
creation_dt: 2020-08-20T03:01:21.434166
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -17.928203702134518
lon: 139.55390826999502
lr:
lat: -17.92264198751562
lon: 139.651388072432
ul:
lat: -17.58615629895794
lon: 139.53283235252943
ur:
lat: -17.58060494724357
lon: 139.63004146791752
to_dt: 2020-08-10T00:15:34
from_dt: 2020-08-10T00:15:34
center_dt: 2020-08-10T00:15:34
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
800000.0
-1937899.3487855252
]
[
800000.0
-1900000.0
]
[
810348.2119441566
-1900000.0
]
[
800000.0
-1937899.3487855252
]
]
]
geo_ref_points:
ll:
x: 800000.0
y: -2000000.0
lr:
x: 900000.0
y: -2000000.0
ul:
x: 800000.0
y: -1900000.0
ur:
x: 900000.0
y: -1900000.0
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-1689.gadi.nci.org.au 4.18.0-193.6.3.el8.nci.x86_64 #1 SMP Tue Jun 23 04:50:57 UTC 2020 x86_64
hostname: gadi-cpu-clx-1689.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: