LS_WATER_3577_9_-18_20190428003357000000_v1557796663.nc

dataset of product wofs_albers
Indexed by tb1251 , created
Archived
for 28th April 2019

Fields 🔗

creation_time 2019-05-14 09:24:35 🔍 format NetCDF id 40befb79-cfd6-4c26-ad46-4a579d004ded 🔍 instrument OLI_TIRS 🔍 label • 🔍 lat -16.583 to -15.657 🔍 lon 140.986 to 141.341 🔍 platform LANDSAT_8 🔍 product_type wofs time 2019-04-28 00:33:57 to 2019-04-28 00:33:57 🔍

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Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/9_-18/LS_WATER_3577_9_-18_20190428003357000000_v1557796663.nc

Metadata Document 🔗

RAW As Stac
id: 40befb79-cfd6-4c26-ad46-4a579d004ded
product_type: wofs
creation_dt: 2019-05-14T09:24:35.594467
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -16.58299666320676
lon: 141.05205830607972
lr:
lat: -16.5627298608884
lon: 141.34123401981452
ul:
lat: -15.676887082121777
lon: 140.98645318912256
ur:
lat: -15.656710417073214
lon: 141.27354765915223
to_dt: 2019-04-28T00:33:57
from_dt: 2019-04-28T00:33:57
center_dt: 2019-04-28T00:33:57
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1000000.0
-1800000.0
]
[
968937.5789320258
-1800000.0
]
[
987573.8574480396
-1738031.312655849
]
[
999059.9690566837
-1700000.0
]
[
1000000.0
-1700000.0
]
[
1000000.0
-1800000.0
]
]
]
geo_ref_points:
ll:
x: 900000.0
y: -1800000.0
lr:
x: 1000000.0
y: -1800000.0
ul:
x: 900000.0
y: -1700000.0
ur:
x: 1000000.0
y: -1700000.0
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/data2/v10/public/modules/dea/20190329/wofs/config/wofs_albers.yaml
machine:
uname: Linux r3201 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r3201
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: