LS_WATER_3577_9_-32_20151104003204000000_v1526766106.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 4th November 2015

Fields 🔗

creation_time 2018-05-20 11:58:42 🔍 format NetCDF id d4a7ebce-d246-44e9-90c8-746d881822d7 🔍 instrument OLI_TIRS 🔍 label • 🔍 lat -29.141 to -28.225 🔍 lon 141.292 to 141.781 🔍 platform LANDSAT_8 🔍 product_type wofs time 2015-11-04 00:32:04 to 2015-11-04 00:32:04 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/9_-32/LS_WATER_3577_9_-32_20151104003204000000_v1526766106.nc

Metadata Document 🔗

RAW As Stac
id: d4a7ebce-d246-44e9-90c8-746d881822d7
product_type: wofs
creation_dt: 2018-05-20T11:58:42.916334
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -29.14092536568813
lon: 141.36765908027715
lr:
lat: -29.114293129036337
lon: 141.78131288019694
ul:
lat: -28.25182419011771
lon: 141.292089115204
ur:
lat: -28.225412448991463
lon: 141.70243117907242
to_dt: 2015-11-04T00:32:04
from_dt: 2015-11-04T00:32:04
center_dt: 2015-11-04T00:32:04
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
900000.0
-3200000.0
]
[
900000.0
-3100000.0
]
[
939894.3187056739
-3100000.0
]
[
913461.0877698028
-3190743.7079929602
]
[
910763.066112408
-3200000.0
]
[
900000.0
-3200000.0
]
]
]
geo_ref_points:
ll:
x: 900000.0
y: -3200000.0
lr:
x: 1000000.0
y: -3200000.0
ul:
x: 900000.0
y: -3100000.0
ur:
x: 1000000.0
y: -3100000.0
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 r718 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r718
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: