LS_WATER_3577_10_-40_19880120234410500000_v1526619448.nc

dataset of product wofs_albers
Indexed by bt2744 , created
Archived
for 21st January 1988

Fields 🔗

creation_time 2018-05-18 16:16:30 🔍 format NetCDF id 18568368-ec64-4212-a39c-b4bd0ff47e4c 🔍 instrument TM 🔍 label • 🔍 lat -35.597 to -35.23 🔍 lon 143.032 to 144.162 🔍 platform LANDSAT_5 🔍 product_type wofs time 1988-01-20 23:44:10 to 1988-01-20 23:44:10 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/10_-40/LS_WATER_3577_10_-40_19880120234410500000_v1526619448.nc

Metadata Document 🔗

RAW As Stac
id: 18568368-ec64-4212-a39c-b4bd0ff47e4c
product_type: wofs
creation_dt: 2018-05-18T16:16:30.006969
platform:
code: LANDSAT_5
instrument:
name: TM
format:
name: NetCDF
extent:
coord:
ll:
lat: -35.59655160276944
lon: 143.06179606806106
lr:
lat: -35.514850003471395
lon: 144.1616055744054
ul:
lat: -35.31183966512113
lon: 143.03153836844618
ur:
lat: -35.23042095334759
lon: 144.12837415083308
to_dt: 1988-01-20T23:44:10.500000
from_dt: 1988-01-20T23:44:10.500000
center_dt: 1988-01-20T23:44:10.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1000000.0
-3904464.4970585047
]
[
1000000.0
-3900000.0
]
[
1100000.0
-3900000.0
]
[
1100000.0
-3931756.8423154745
]
[
1033372.7460310879
-3913634.690571007
]
[
1000000.0
-3904464.4970585047
]
]
]
geo_ref_points:
ll:
x: 1000000.0
y: -4000000.0
lr:
x: 1100000.0
y: -4000000.0
ul:
x: 1000000.0
y: -3900000.0
ur:
x: 1100000.0
y: -3900000.0
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 r326 3.10.0-693.17.1.el6.x86_64 #1 SMP Wed Mar 7 16:44:00 AEDT 2018 x86_64
hostname: r326
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: