LS7_ETM_NBART_3577_5_-39_20191130002215500000_v1576222261.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region 5_-39 for 30th November 2019

Fields 🔗

creation_time 2019-12-13 22:58:03 🔍 format NetCDF id 767a5669-6f66-4118-a534-5220f9edf675 🔍 instrument ETM label • 🔍 lat -35.603 to -34.663 🔍 lon 137.479 to 138.629 🔍 platform LANDSAT_7 product_type nbart time 2019-11-30 00:22:15 to 2019-11-30 00:22:15 🔍

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LS7_ETM_NBART_P54_GANBART01-002_098_084_20191130
LS7_ETM_NBART_3577_5_-39_20191130002215500000_v1576222261.nc
LS7_ETM_FC_3577_5_-39_20191130002215500000_v1576560104.nc
LS7_GM_NBART_5_-39_20190101.nc
LS7_TMAD_NBART_5_-39_20190101.nc
LS_WATER_3577_5_-39_20191130002215500000_v1576560117.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/5_-39/LS7_ETM_NBART_3577_5_-39_20191130002215500000_v1576222261.nc

Metadata Document 🔗

RAW As Stac
id: 767a5669-6f66-4118-a534-5220f9edf675
product_type: nbart
creation_dt: 2019-12-13T22:58:03.582747
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -35.603281342382225
lon: 137.5260698926053
lr:
lat: -35.56047153393852
lon: 138.62946574546683
ul:
lat: -34.70489464651517
lon: 137.47870298263425
ur:
lat: -34.6625460891296
lon: 138.5726717800677
to_dt: 2019-11-30T00:22:15.500000
from_dt: 2019-11-30T00:22:15.500000
center_dt: 2019-11-30T00:22:15.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
500000.0
-3882637.954255458
]
[
500000.0
-3800000.0
]
[
600000.0
-3800000.0
]
[
600000.0
-3836933.965062135
]
[
583930.8997032053
-3895720.6796871894
]
[
582730.8108553899
-3900000.0
]
[
578938.4055626788
-3900000.0
]
[
516002.6151835535
-3886182.8703510286
]
[
500000.0
-3882637.954255458
]
]
]
geo_ref_points:
ll:
x: 500000.0
y: -3900000.0
lr:
x: 600000.0
y: -3900000.0
ul:
x: 500000.0
y: -3800000.0
ur:
x: 600000.0
y: -3800000.0
spatial_reference: EPSG:3577
image:
bands:
nir:
path:
layer: nir
red:
path:
layer: red
blue:
path:
layer: blue
green:
path:
layer: green
swir1:
path:
layer: swir1
swir2:
path:
layer: swir2
lineage:
algorithm:
name: datacube-ingest
version: 1.7+164.gbdf45994
repo_url: https://github.com/opendatacube/datacube-core.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/unstable/lib/python3.6/site-packages/digitalearthau/config/ingestion/ls7_nbart_albers.yaml
machine:
uname: Linux gadi-cpu-clx-2376.gadi.nci.org.au 4.18.0-80.11.2.el8_0.x86_64 #1 SMP Tue Sep 24 11:32:19 UTC 2019 x86_64
hostname: gadi-cpu-clx-2376.gadi.nci.org.au
software_versions:
python:
version: 3.6.7 | packaged by conda-forge | (default, Nov 6 2019, 16:19:42) [GCC 7.3.0]
datacube:
version: 1.7+164.gbdf45994
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: