LS7_ETM_NBART_3577_1_-33_20190119005144500000_v1548500794.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region 1_-33 for 19th January 2019

Fields 🔗

creation_time 2019-01-26 11:50:50 🔍 format NetCDF id c8fdc574-28a4-4994-b64b-9b26f5e19732 🔍 instrument ETM label • 🔍 lat -30.324 to -29.421 🔍 lon 133.043 to 134.102 🔍 platform LANDSAT_7 product_type nbart time 2019-01-19 00:51:44 to 2019-01-19 00:51:44 🔍

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LS7_ETM_NBART_P54_GANBART01-002_101_081_20190119
LS7_ETM_NBART_3577_1_-33_20190119005144500000_v1548500794.nc
LS7_ETM_FC_3577_1_-33_20190119005144500000_v1548584183.nc
LS7_GM_NBART_1_-33_20190101.nc
LS7_TMAD_NBART_1_-33_20190101.nc
LS_WATER_3577_1_-33_20190119005144500000_v1548976311.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/1_-33/LS7_ETM_NBART_3577_1_-33_20190119005144500000_v1548500794.nc

Metadata Document 🔗

RAW As Stac
id: c8fdc574-28a4-4994-b64b-9b26f5e19732
product_type: nbart
creation_dt: 2019-01-26T11:50:50.320085
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -30.32355100083848
lon: 133.05127722086925
lr:
lat: -30.312538838673227
lon: 134.10241209028618
ul:
lat: -29.431630546042943
lon: 133.04269726129866
ur:
lat: -29.42071443737859
lon: 134.08525562785886
to_dt: 2019-01-19T00:51:44.500000
from_dt: 2019-01-19T00:51:44.500000
center_dt: 2019-01-19T00:51:44.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
200000.0
-3206635.931619322
]
[
200000.0
-3300000.0
]
[
100000.0
-3300000.0
]
[
100000.0
-3254616.5228793463
]
[
101997.31327676043
-3246336.406660181
]
[
113149.86227182759
-3200000.0
]
[
164183.32316925816
-3200000.0
]
[
182170.41582516773
-3203338.521551619
]
[
200000.0
-3206635.931619322
]
]
]
geo_ref_points:
ll:
x: 100000.0
y: -3300000.0
lr:
x: 200000.0
y: -3300000.0
ul:
x: 100000.0
y: -3200000.0
ur:
x: 200000.0
y: -3200000.0
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: 1.6.1+200.g83bae20d
repo_url: https://github.com/opendatacube/datacube-core.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/20181211/lib/python3.6/site-packages/digitalearthau/config/ingestion/ls7_nbart_albers.yaml
machine:
uname: Linux r2248 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r2248
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+200.g83bae20d
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: