LS_WATER_3577_-6_-25_20091008012147000000_v1526749008.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 8th October 2009

Fields 🔗

creation_time 2018-05-20 06:49:08 format NetCDF id e0de86e7-c954-4aed-899d-e02e208bb91f instrument TM label • lat -22.526 to -22.172 🔍 lon 126.115 to 127.108 🔍 platform LANDSAT_5 product_type wofs time 2009-10-08 01:21:47 to 2009-10-08 01:21:47 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/-6_-25/LS_WATER_3577_-6_-25_20091008012147000000_v1526749008.nc

Metadata Document 🔗

RAW As Stac
id: e0de86e7-c954-4aed-899d-e02e208bb91f
product_type: wofs
creation_dt: 2018-05-20T06:49:08.399112
platform:
code: LANDSAT_5
instrument:
name: TM
format:
name: NetCDF
extent:
coord:
ll:
lat: -22.488515175368363
lon: 126.11536128993357
lr:
lat: -22.526299554185577
lon: 127.09507473828212
ul:
lat: -22.172397488580238
lon: 126.13127497900916
ur:
lat: -22.210098205413736
lon: 127.10834471933683
to_dt: 2009-10-08T01:21:47
from_dt: 2009-10-08T01:21:47
center_dt: 2009-10-08T01:21:47
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-600000.0
-2423505.8830725937
]
[
-600000.0
-2400000.0
]
[
-500000.0
-2400000.0
]
[
-500000.0
-2435346.418181017
]
[
-543624.4893556667
-2430153.367369893
]
[
-600000.0
-2423505.8830725937
]
]
]
geo_ref_points:
ll:
x: -600000.0
y: -2500000.0
lr:
x: -500000.0
y: -2500000.0
ul:
x: -600000.0
y: -2400000.0
ur:
x: -500000.0
y: -2400000.0
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 r978 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r978
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: