LS_WATER_3577_5_-37_19881031001019500000_v1526619448.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 31st October 1988

Fields 🔗

creation_time 2018-05-18 14:12:05 🔍 format NetCDF id b3471407-9822-4cd1-a10a-f2b9a1a9c20b 🔍 instrument TM 🔍 label • 🔍 lat -33.808 to -33.783 🔍 lon 137.431 to 137.547 🔍 platform LANDSAT_5 🔍 product_type wofs time 1988-10-31 00:10:19 to 1988-10-31 00:10:19 🔍

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LS_WATER_3577_5_-37_19881031001019500000_v1526619448.nc
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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/5_-37/LS_WATER_3577_5_-37_19881031001019500000_v1526619448.nc

Metadata Document 🔗

RAW As Stac
id: b3471407-9822-4cd1-a10a-f2b9a1a9c20b
product_type: wofs
creation_dt: 2018-05-18T14:12:05.101736
platform:
code: LANDSAT_5
instrument:
name: TM
format:
name: NetCDF
extent:
coord:
ll:
lat: -33.80836537550474
lon: 137.4321407007433
lr:
lat: -33.80427607858536
lon: 137.54735878302336
ul:
lat: -33.78726012102038
lon: 137.43105306580182
ur:
lat: -33.7831718135053
lon: 137.54624813626992
to_dt: 1988-10-31T00:10:19.500000
from_dt: 1988-10-31T00:10:19.500000
center_dt: 1988-10-31T00:10:19.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
500000.0
-3700000.0
]
[
500000.0
-3697643.6472267103
]
[
510618.42229513754
-3700000.0
]
[
500000.0
-3700000.0
]
]
]
geo_ref_points:
ll:
x: 500000.0
y: -3700000.0
lr:
x: 600000.0
y: -3700000.0
ul:
x: 500000.0
y: -3600000.0
ur:
x: 600000.0
y: -3600000.0
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 r298 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r298
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: