LS_WATER_3577_-1_-32_20170213010248000000_v1526773851.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 13th February 2017

Fields 🔗

creation_time 2018-05-20 08:37:54 🔍 format NetCDF id c350d267-693d-420a-a7af-1e08805509af 🔍 instrument OLI_TIRS 🔍 label • 🔍 lat -29.435 to -28.543 🔍 lon 131.715 to 132.0 🔍 platform LANDSAT_8 🔍 product_type wofs time 2017-02-13 01:02:48 to 2017-02-13 01:02:48 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/-1_-32/LS_WATER_3577_-1_-32_20170213010248000000_v1526773851.nc

Metadata Document 🔗

RAW As Stac
id: c350d267-693d-420a-a7af-1e08805509af
product_type: wofs
creation_dt: 2018-05-20T08:37:54.923619
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -29.434996723091185
lon: 131.71451560961833
lr:
lat: -29.435269504370435
lon: 131.99999999999997
ul:
lat: -28.543440944067967
lon: 131.71682681235328
ur:
lat: -28.54371143143031
lon: 131.99999999999997
to_dt: 2017-02-13T01:02:48
from_dt: 2017-02-13T01:02:48
center_dt: 2017-02-13T01:02:48
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
0.0
-3200000.0
]
[
-27378.850716189976
-3200000.0
]
[
-17278.03367987818
-3155685.784851183
]
[
-4559.438498803326
-3100000.0
]
[
0.0
-3100000.0
]
[
0.0
-3200000.0
]
]
]
geo_ref_points:
ll:
x: -100000.0
y: -3200000.0
lr:
x: 0.0
y: -3200000.0
ul:
x: -100000.0
y: -3100000.0
ur:
x: 0.0
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 r1471 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r1471
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: