LS_WATER_3577_-1_-30_20170603011426000000_v1526773851.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 3rd June 2017

Fields 🔗

creation_time 2018-05-20 06:40:21 🔍 format NetCDF id 377262bd-0faa-40dc-8729-936db38d2268 🔍 instrument OLI_TIRS 🔍 label • 🔍 lat -27.65 to -26.757 🔍 lon 130.974 to 131.237 🔍 platform LANDSAT_8 🔍 product_type wofs time 2017-06-03 01:14:26 to 2017-06-03 01:14:26 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/-1_-30/LS_WATER_3577_-1_-30_20170603011426000000_v1526773851.nc

Metadata Document 🔗

RAW As Stac
id: 377262bd-0faa-40dc-8729-936db38d2268
product_type: wofs
creation_dt: 2018-05-20T06:40:21.273698
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -27.648745929399436
lon: 130.97404926455442
lr:
lat: -27.650313439788285
lon: 131.23084574181678
ul:
lat: -26.757342516766744
lon: 130.98222241707782
ur:
lat: -26.758897805144077
lon: 131.2369732602323
to_dt: 2017-06-03T01:14:26
from_dt: 2017-06-03T01:14:26
center_dt: 2017-06-03T01:14:26
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-100000.0
-3000000.0
]
[
-100000.0
-2900000.0
]
[
-74969.19591573051
-2900000.0
]
[
-94616.41891839451
-2996494.3391345874
]
[
-95328.69040940583
-3000000.0
]
[
-100000.0
-3000000.0
]
]
]
geo_ref_points:
ll:
x: -100000.0
y: -3000000.0
lr:
x: 0.0
y: -3000000.0
ul:
x: -100000.0
y: -2900000.0
ur:
x: 0.0
y: -2900000.0
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 r1501 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r1501
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: