LS_WATER_3577_-10_-35_20190221013423500000_v1552542262.nc

dataset of product wofs_albers
Indexed by tb1251 , created
Archived
for 21st February 2019
LS7_ETM_NBART_3577_-10_-35_20190221013423500000_v1552535502.nc
LS7_ETM_PQ_P55_GAPQ01-002_108_082_20190221
dsm1sv1_0_Clean_tiff
LS_WATER_3577_-10_-35_20190221013423500000_v1552542262.nc
WOFS_3577_-10_-35_2018-11_2019-03_summary.nc
WOFS_3577_-10_-35_2019_summary.nc

Fields 🔗

creation_dt 2019-03-14T06:12:29.524770 creation_time 2019-03-14 06:12:29 format NetCDF id ab9c9daa-cf52-4d91-8a95-c8d294c9b7e5 instrument ETM label • lat -31.811 to -30.881 lon 121.787 to 122.477 platform LANDSAT_7 product_type wofs time 2019-02-21 01:34:23 to 2019-02-21 01:34:23

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_25_2_1/netcdf/-10_-35/LS_WATER_3577_-10_-35_20190221013423500000_v1552542262.nc

Metadata Document 🔗

RAW As Stac
id: ab9c9daa-cf52-4d91-8a95-c8d294c9b7e5
product_type: wofs
creation_dt: 2019-03-14T06:12:29.524770
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -31.77097852615332
lon: 121.78676500831806
lr:
lat: -31.810810325945294
lon: 122.39808575152011
ul:
lat: -30.880726706788263
lon: 121.87115081708204
ur:
lat: -30.92019053292351
lon: 122.47745942606952
to_dt: 2019-02-21T01:34:23.500000
from_dt: 2019-02-21T01:34:23.500000
center_dt: 2019-02-21T01:34:23.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-900000.0
-3500000.0
]
[
-957537.4180285519
-3500000.0
]
[
-947233.1015147623
-3431819.2733707377
]
[
-942400.0874889431
-3400000.0
]
[
-900000.0
-3400000.0
]
[
-900000.0
-3500000.0
]
]
]
geo_ref_points:
ll:
x: -1000000.0
y: -3500000.0
lr:
x: -900000.0
y: -3500000.0
ul:
x: -1000000.0
y: -3400000.0
ur:
x: -900000.0
y: -3400000.0
spatial_reference: EPSG:3577
image:
bands:
water:
path:
layer: water
lineage:
algorithm:
name: wofs
version: 1.4
repo_url: https://github.com/GeoscienceAustralia/wofs.git
parameters:
configuration_file: /g/data2/v10/public/modules/dea/20181213/wofs/config/wofs_albers.yaml
machine:
uname: Linux r2519 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r2519
software_versions:
python:
version: 3.6.6 | packaged by conda-forge | (default, Oct 12 2018, 14:08:43) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
datacube:
version: 1.6.1+208.g1e957de4
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: