LS_WATER_3577_-5_-17_20170122013604000000_v1526773851.nc

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

Fields 🔗

creation_time 2018-05-20 10:13:21 🔍 format NetCDF id cd9e8479-b12e-4e0e-9525-b7ca57089968 🔍 instrument OLI_TIRS 🔍 label • 🔍 lat -15.508 to -14.995 🔍 lon 127.372 to 127.748 🔍 platform LANDSAT_8 🔍 product_type wofs time 2017-01-22 01:36:04 to 2017-01-22 01:36:04 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/-5_-17/LS_WATER_3577_-5_-17_20170122013604000000_v1526773851.nc

Metadata Document 🔗

RAW As Stac
id: cd9e8479-b12e-4e0e-9525-b7ca57089968
product_type: wofs
creation_dt: 2018-05-20T10:13:21.741557
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -15.495901315181207
lon: 127.37221496623567
lr:
lat: -15.508211012595892
lon: 127.73153462220225
ul:
lat: -14.994532473342183
lon: 127.39059854795472
ur:
lat: -15.00681356574702
lon: 127.74849303105789
to_dt: 2017-01-22T01:36:04
from_dt: 2017-01-22T01:36:04
center_dt: 2017-01-22T01:36:04
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-500000.0
-1650066.233103386
]
[
-500000.0
-1600000.0
]
[
-461147.88564963656
-1600000.0
]
[
-471149.8937547188
-1655074.7016919043
]
[
-500000.0
-1650066.233103386
]
]
]
geo_ref_points:
ll:
x: -500000.0
y: -1700000.0
lr:
x: -400000.0
y: -1700000.0
ul:
x: -500000.0
y: -1600000.0
ur:
x: -400000.0
y: -1600000.0
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: