LS_WATER_3577_-6_-21_20150322013706000000_v1526766106.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 22nd March 2015

Fields 🔗

creation_time 2018-05-20 13:16:41 🔍 format NetCDF id 0a1d3370-673b-4051-b9db-b390165e4e19 🔍 instrument OLI_TIRS 🔍 label • 🔍 lat -19.492 to -19.444 🔍 lon 126.263 to 126.501 🔍 platform LANDSAT_8 🔍 product_type wofs time 2015-03-22 01:37:06 to 2015-03-22 01:37:06 🔍

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LS_WATER_3577_-6_-21_20150322013706000000_v1526766106.nc
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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/-6_-21/LS_WATER_3577_-6_-21_20150322013706000000_v1526766106.nc

Metadata Document 🔗

RAW As Stac
id: 0a1d3370-673b-4051-b9db-b390165e4e19
product_type: wofs
creation_dt: 2018-05-20T13:16:41.033356
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -19.482026582577326
lon: 126.26295587756942
lr:
lat: -19.4918190909202
lon: 126.49922874053185
ul:
lat: -19.444112141648436
lon: 126.26476429055285
ur:
lat: -19.45390241412825
lon: 126.50096286439714
to_dt: 2015-03-22T01:37:06
from_dt: 2015-03-22T01:37:06
center_dt: 2015-03-22T01:37:06
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-600000.0
-2100000.0
]
[
-600000.0
-2095784.1826598812
]
[
-575258.5399444515
-2100000.0
]
[
-600000.0
-2100000.0
]
]
]
geo_ref_points:
ll:
x: -600000.0
y: -2100000.0
lr:
x: -500000.0
y: -2100000.0
ul:
x: -600000.0
y: -2000000.0
ur:
x: -500000.0
y: -2000000.0
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 r745 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r745
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: