LS_WATER_3577_10_-31_20170126002724000000_v1526773851.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 26th January 2017

Fields 🔗

creation_time 2018-05-20 05:09:53 🔍 format NetCDF id 877ad601-40be-48b8-a0cb-d7aaef4a201d 🔍 instrument ETM 🔍 label • 🔍 lat -28.183 to -27.22 🔍 lon 142.238 to 143.347 🔍 platform LANDSAT_7 🔍 product_type wofs time 2017-01-26 00:27:24 to 2017-01-26 00:27:24 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/10_-31/LS_WATER_3577_10_-31_20170126002724000000_v1526773851.nc

Metadata Document 🔗

RAW As Stac
id: 877ad601-40be-48b8-a0cb-d7aaef4a201d
product_type: wofs
creation_dt: 2018-05-20T05:09:53.579035
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -28.183470310855242
lon: 142.32028059559835
lr:
lat: -28.10797102449264
lon: 143.34713400344174
ul:
lat: -27.294975231409563
lon: 142.23775693815114
ur:
lat: -27.22007516123369
lon: 143.25648095301526
to_dt: 2017-01-26T00:27:24
from_dt: 2017-01-26T00:27:24
center_dt: 2017-01-26T00:27:24
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1000000.0
-3100000.0
]
[
1000000.0
-3000000.0
]
[
1100000.0
-3000000.0
]
[
1100000.0
-3098364.499554561
]
[
1099499.9485363432
-3100000.0
]
[
1000000.0
-3100000.0
]
]
]
geo_ref_points:
ll:
x: 1000000.0
y: -3100000.0
lr:
x: 1100000.0
y: -3100000.0
ul:
x: 1000000.0
y: -3000000.0
ur:
x: 1100000.0
y: -3000000.0
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 r1497 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r1497
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: