LS7_ETM_NBART_3577_9_-14_20191207002206500000_v1583809826.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region 9_-14 for 7th December 2019

Fields 🔗

creation_time 2020-03-10 03:36:03 🔍 format NetCDF id 0a7dc42a-7535-4d2f-bbed-f7495823bf44 🔍 instrument ETM label • 🔍 lat -12.978 to -12.033 🔍 lon 140.198 to 141.076 🔍 platform LANDSAT_7 product_type nbart time 2019-12-07 00:22:06 to 2019-12-07 00:22:06 🔍

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LS7_ETM_NBART_P54_GANBART01-002_099_069_20191207
LS7_ETM_NBART_3577_9_-14_20191207002206500000_v1583809826.nc
LS7_ETM_FC_3577_9_-14_20191207002206500000_v1584659811.nc
LS7_GM_NBART_9_-14_20190101.nc
LS7_TMAD_NBART_9_-14_20190101.nc
LS_WATER_3577_9_-14_20191207002206500000_v1584672374.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/9_-14/LS7_ETM_NBART_3577_9_-14_20191207002206500000_v1583809826.nc

Metadata Document 🔗

RAW As Stac
id: 0a7dc42a-7535-4d2f-bbed-f7495823bf44
product_type: nbart
creation_dt: 2020-03-10T03:36:03.365848
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -12.97842811109727
lon: 140.2539057315487
lr:
lat: -12.921868235518401
lon: 141.07623911195085
ul:
lat: -12.089468374289346
lon: 140.19757024769106
ur:
lat: -12.033097834319102
lon: 141.01432667191486
to_dt: 2019-12-07T00:22:06.500000
from_dt: 2019-12-07T00:22:06.500000
center_dt: 2019-12-07T00:22:06.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1000000.0
-1316082.8942888672
]
[
1000000.0
-1400000.0
]
[
909131.9104174064
-1400000.0
]
[
913887.4939973261
-1383834.0179537425
]
[
928298.4626261097
-1335031.2408122076
]
[
937046.633124611
-1305635.1625957845
]
[
937663.0665038731
-1303820.7901286255
]
[
938783.7654122711
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]
[
938927.2601453273
-1303162.1771365264
]
[
1000000.0
-1316082.8942888672
]
]
]
geo_ref_points:
ll:
x: 900000.0
y: -1400000.0
lr:
x: 1000000.0
y: -1400000.0
ul:
x: 900000.0
y: -1300000.0
ur:
x: 1000000.0
y: -1300000.0
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+253.ga031f3f4
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-2307.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-2307.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+253.ga031f3f4
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: