LS7_ETM_NBART_3577_14_-48_20190902233842000000_v1569401634.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region 14_-48 for 3rd September 2019

Fields 🔗

creation_time 2019-09-25 22:07:02 🔍 format NetCDF id 0ede6fb4-82a9-4a61-af1c-f3d65c711ed2 🔍 instrument ETM label • 🔍 lat -42.742 to -42.123 🔍 lon 148.542 to 149.019 🔍 platform LANDSAT_7 product_type nbart time 2019-09-02 23:38:42 to 2019-09-02 23:38:42 🔍

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LS7_ETM_NBART_P54_GANBART01-002_090_089_20190902
LS7_ETM_NBART_3577_14_-48_20190902233842000000_v1569401634.nc
LS7_ETM_FC_3577_14_-48_20190902233842000000_v1569460816.nc
LS7_GM_NBART_14_-48_20190101.nc
LS7_TMAD_NBART_14_-48_20190101.nc
LS_WATER_3577_14_-48_20190902233842000000_v1569453213.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/14_-48/LS7_ETM_NBART_3577_14_-48_20190902233842000000_v1569401634.nc

Metadata Document 🔗

RAW As Stac
id: 0ede6fb4-82a9-4a61-af1c-f3d65c711ed2
product_type: nbart
creation_dt: 2019-09-25T22:07:02.369303
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -42.74201526065092
lon: 148.63820770684436
lr:
lat: -42.70255292440014
lon: 149.0186710328679
ul:
lat: -42.16196220392461
lon: 148.54155754131943
ur:
lat: -42.122858000437056
lon: 148.91986226861263
to_dt: 2019-09-02T23:38:42
from_dt: 2019-09-02T23:38:42
center_dt: 2019-09-02T23:38:42
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1400000.0
-4760979.328343424
]
[
1400000.0
-4700000.0
]
[
1432391.1883967693
-4700000.0
]
[
1412022.9080648045
-4752436.415017651
]
[
1407839.9762956386
-4763024.593731486
]
[
1407124.841236847
-4763164.154841855
]
[
1406988.5831401984
-4763150.126379292
]
[
1405604.4549348871
-4762725.7890398605
]
[
1400000.0
-4760979.328343424
]
]
]
geo_ref_points:
ll:
x: 1400000.0
y: -4800000.0
lr:
x: 1500000.0
y: -4800000.0
ul:
x: 1400000.0
y: -4700000.0
ur:
x: 1500000.0
y: -4700000.0
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: 1.6.2+398.g0e94625d
repo_url: https://github.com/opendatacube/datacube-core.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/20190329/lib/python3.6/site-packages/digitalearthau/config/ingestion/ls7_nbart_albers.yaml
machine:
uname: Linux r1303 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r1303
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: