LS_WATER_3577_-6_-36_20191021011244000000_v1573709072.nc

dataset of product wofs_albers
Indexed by lpgs , created
Archived
for 21st October 2019

Fields 🔗

creation_time 2019-11-14 11:24:59 🔍 format NetCDF id 6c4979f5-4a1d-4c76-9134-16d60ac5d155 🔍 instrument ETM 🔍 label • 🔍 lat -32.671 to -31.979 🔍 lon 125.553 to 126.659 🔍 platform LANDSAT_7 🔍 product_type wofs time 2019-10-21 01:12:44 to 2019-10-21 01:12:44 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/-6_-36/LS_WATER_3577_-6_-36_20191021011244000000_v1573709072.nc

Metadata Document 🔗

RAW As Stac
id: 6c4979f5-4a1d-4c76-9134-16d60ac5d155
product_type: wofs
creation_dt: 2019-11-14T11:24:59.350168
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -32.63002284887766
lon: 125.55274836682881
lr:
lat: -32.67140026677374
lon: 126.62589672543075
ul:
lat: -31.978703919910437
lon: 125.59202260818066
ur:
lat: -32.01979035889044
lon: 126.65865057186201
to_dt: 2019-10-21T01:12:44
from_dt: 2019-10-21T01:12:44
center_dt: 2019-10-21T01:12:44
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-600000.0
-3560556.2186135305
]
[
-600000.0
-3500000.0
]
[
-500000.0
-3500000.0
]
[
-500000.0
-3572930.7119130148
]
[
-583081.9400135627
-3562677.621563045
]
[
-600000.0
-3560556.2186135305
]
]
]
geo_ref_points:
ll:
x: -600000.0
y: -3600000.0
lr:
x: -500000.0
y: -3600000.0
ul:
x: -600000.0
y: -3500000.0
ur:
x: -500000.0
y: -3500000.0
spatial_reference: EPSG:3577
image:
bands:
water:
path:
layer: water
lineage:
algorithm:
name: wofs
version: 1.4.1
repo_url: https://github.com/GeoscienceAustralia/wofs.git
parameters:
configuration_file: /g/data4/v10/public/modules/dea/20190329/wofs/config/wofs_albers.yaml
machine:
uname: Linux r3160 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r3160
software_versions:
python:
version: 3.6.7 | packaged by conda-forge | (default, Feb 20 2019, 02:51:38) [GCC 7.3.0]
datacube:
version: 1.6.2+398.g0e94625d
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: