LS_WATER_3577_-1_-19_20170322011751000000_v1526773851.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 22nd March 2017

Fields 🔗

creation_time 2018-05-20 10:18:01 🔍 format NetCDF id b50d092c-af3c-40db-b02c-1b8594509fcd 🔍 instrument OLI_TIRS 🔍 label • 🔍 lat -17.799 to -16.891 🔍 lon 131.057 to 131.987 🔍 platform LANDSAT_8 🔍 product_type wofs time 2017-03-22 01:17:51 to 2017-03-22 01:17:51 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/-1_-19/LS_WATER_3577_-1_-19_20170322011751000000_v1526773851.nc

Metadata Document 🔗

RAW As Stac
id: b50d092c-af3c-40db-b02c-1b8594509fcd
product_type: wofs
creation_dt: 2018-05-20T10:18:01.462532
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -17.79615075226609
lon: 131.05732034950185
lr:
lat: -17.79948524631345
lon: 131.98646637129698
ul:
lat: -16.89104758008332
lon: 131.06422508716682
ur:
lat: -16.894366061668357
lon: 131.98656550307507
to_dt: 2017-03-22T01:17:51
from_dt: 2017-03-22T01:17:51
center_dt: 2017-03-22T01:17:51
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-100000.0
-1900000.0
]
[
-100000.0
-1800000.0
]
[
-1435.6290737322843
-1800000.0
]
[
-16221.073575594213
-1869521.61770696
]
[
-22634.5217054562
-1900000.0
]
[
-100000.0
-1900000.0
]
]
]
geo_ref_points:
ll:
x: -100000.0
y: -1900000.0
lr:
x: 0.0
y: -1900000.0
ul:
x: -100000.0
y: -1800000.0
ur:
x: 0.0
y: -1800000.0
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 r1461 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r1461
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: