LS_WATER_3577_-11_-23_20161210015647000000_v1526770084.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 10th December 2016

Fields 🔗

creation_time 2018-05-20 11:32:35 🔍 format NetCDF id 9049aba1-d136-4316-bc33-506cefd570c0 🔍 instrument OLI_TIRS 🔍 label • 🔍 lat -21.021 to -20.899 🔍 lon 121.34 to 121.781 🔍 platform LANDSAT_8 🔍 product_type wofs time 2016-12-10 01:56:47 to 2016-12-10 01:56:47 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/-11_-23/LS_WATER_3577_-11_-23_20161210015647000000_v1526770084.nc

Metadata Document 🔗

RAW As Stac
id: 9049aba1-d136-4316-bc33-506cefd570c0
product_type: wofs
creation_dt: 2018-05-20T11:32:35.887605
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -20.987910512207602
lon: 121.33977049574436
lr:
lat: -21.02080388227038
lon: 121.772921200252
ul:
lat: -20.898533989487976
lon: 121.34782708596269
ur:
lat: -20.931408167489746
lon: 121.78065329058465
to_dt: 2016-12-10T01:56:47
from_dt: 2016-12-10T01:56:47
center_dt: 2016-12-10T01:56:47
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-1100000.0
-2300000.0
]
[
-1100000.0
-2290006.281008076
]
[
-1055108.7764866694
-2295972.709702362
]
[
-1055619.1414323382
-2300000.0
]
[
-1100000.0
-2300000.0
]
]
]
geo_ref_points:
ll:
x: -1100000.0
y: -2300000.0
lr:
x: -1000000.0
y: -2300000.0
ul:
x: -1100000.0
y: -2200000.0
ur:
x: -1000000.0
y: -2200000.0
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 r1072 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r1072
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: