LS_WATER_3577_7_-33_20190717003829000000_v1565000316.nc

dataset of product wofs_albers
Indexed by tb1251 , created
Archived
for 17th July 2019

Fields 🔗

creation_time 2019-08-05 11:09:33 🔍 format NetCDF id 6dbb7ae5-4c45-4767-bdd4-b8cc7450b248 🔍 instrument OLI_TIRS 🔍 label • 🔍 lat -30.148 to -29.505 🔍 lon 139.309 to 139.855 🔍 platform LANDSAT_8 🔍 product_type wofs time 2019-07-17 00:38:29 to 2019-07-17 00:38:29 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/7_-33/LS_WATER_3577_7_-33_20190717003829000000_v1565000316.nc

Metadata Document 🔗

RAW As Stac
id: 6dbb7ae5-4c45-4767-bdd4-b8cc7450b248
product_type: wofs
creation_dt: 2019-08-05T11:09:33.631596
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -30.147501460947158
lon: 139.35098340467428
lr:
lat: -30.12197664875977
lon: 139.85493808003943
ul:
lat: -29.530860456512638
lon: 139.30942171806706
ur:
lat: -29.505489478032192
lon: 139.81054088097983
to_dt: 2019-07-17T00:38:29
from_dt: 2019-07-17T00:38:29
center_dt: 2019-07-17T00:38:29
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
700000.0
-3300000.0
]
[
700000.0
-3230749.981899715
]
[
748106.5281035267
-3244651.625824733
]
[
747949.201589618
-3245320.7455300787
]
[
732817.1503212872
-3300000.0
]
[
700000.0
-3300000.0
]
]
]
geo_ref_points:
ll:
x: 700000.0
y: -3300000.0
lr:
x: 800000.0
y: -3300000.0
ul:
x: 700000.0
y: -3200000.0
ur:
x: 800000.0
y: -3200000.0
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/data2/v10/public/modules/dea/20190329/wofs/config/wofs_albers.yaml
machine:
uname: Linux r3183 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r3183
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: