LS_WATER_3577_4_-24_20191119003743500000_v1576560117.nc

dataset of product wofs_albers
Indexed by lpgs , created
Archived
for 19th November 2019

Fields 🔗

creation_time 2019-12-17 05:43:27 🔍 format NetCDF id acc351c5-8dc2-47d5-91db-715cf0af982a 🔍 instrument ETM 🔍 label • 🔍 lat -22.241 to -21.315 🔍 lon 135.884 to 136.892 🔍 platform LANDSAT_7 🔍 product_type wofs time 2019-11-19 00:37:43 to 2019-11-19 00:37:43 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/4_-24/LS_WATER_3577_4_-24_20191119003743500000_v1576560117.nc

Metadata Document 🔗

RAW As Stac
id: acc351c5-8dc2-47d5-91db-715cf0af982a
product_type: wofs
creation_dt: 2019-12-17T05:43:27.185948
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -22.24095160798584
lon: 135.91401269906405
lr:
lat: -22.210098205413736
lon: 136.89165528066312
ul:
lat: -21.345290997842937
lon: 135.8842716378541
ur:
lat: -21.314625245511493
lon: 136.85449841697752
to_dt: 2019-11-19T00:37:43.500000
from_dt: 2019-11-19T00:37:43.500000
center_dt: 2019-11-19T00:37:43.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
400000.0
-2400000.0
]
[
400000.0
-2300000.0
]
[
500000.0
-2300000.0
]
[
500000.0
-2400000.0
]
[
400000.0
-2400000.0
]
]
]
geo_ref_points:
ll:
x: 400000.0
y: -2400000.0
lr:
x: 500000.0
y: -2400000.0
ul:
x: 400000.0
y: -2300000.0
ur:
x: 500000.0
y: -2300000.0
spatial_reference: EPSG:3577
image:
bands:
water:
path:
layer: water
lineage:
algorithm:
name: wofs
version: 1.4.1
repo_url: https://github.com/GeoscienceAustralia/wofs.git
parameters:
configuration_file: /g/data4/v10/public/modules/dea/20190329/wofs/config/wofs_albers.yaml
machine:
uname: Linux gadi-cpu-clx-0694.gadi.nci.org.au 4.18.0-80.11.2.el8_0.x86_64 #1 SMP Tue Sep 24 11:32:19 UTC 2019 x86_64
hostname: gadi-cpu-clx-0694.gadi.nci.org.au
software_versions:
python:
version: 3.6.7 | packaged by conda-forge | (default, Feb 20 2019, 02:51:38) [GCC 7.3.0]
datacube:
version: 1.6.2+398.g0e94625d
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: