LS7_ETM_NBART_3577_-5_-33_20190903011359500000_v1569401634.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region -5_-33 for 3rd September 2019
LS7_ETM_NBART_P54_GANBART01-002_106_080_20190903
LS7_ETM_NBART_3577_-5_-33_20190903011359500000_v1569401634.nc
LS7_ETM_FC_3577_-5_-33_20190903011359500000_v1569460816.nc
LS7_GM_NBART_-5_-33_20190101.nc
LS7_TMAD_NBART_-5_-33_20190101.nc
LS_WATER_3577_-5_-33_20190903011359500000_v1569453213.nc

Fields

creation_dt 2019-09-25T22:04:50.686259 creation_time 2019-09-25 22:04:50 format NetCDF id ad98f9e5-5a69-48ed-8a11-e32b0f4a4c3c instrument ETM label • lat -29.821 to -29.344 lon 126.768 to 127.674 platform LANDSAT_7 product_type nbart time 2019-09-03 01:13:59 to 2019-09-03 01:13:59

Locations

Active:
file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-5_-33/LS7_ETM_NBART_3577_-5_-33_20190903011359500000_v1569401634.nc

Metadata Document

RAW As Stac
id: ad98f9e5-5a69-48ed-8a11-e32b0f4a4c3c
product_type: nbart
creation_dt: 2019-09-25T22:04:50.686259
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -29.792720174110823
lon: 126.76782362111321
lr:
lat: -29.8211079753474
lon: 127.6559469019956
ul:
lat: -29.34433380314729
lon: 126.78928925949737
ur:
lat: -29.37259829882452
lon: 127.67377506337826
to_dt: 2019-09-03T01:13:59.500000
from_dt: 2019-09-03T01:13:59.500000
center_dt: 2019-09-03T01:13:59.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-500000.0
-3241244.439943723
]
[
-500000.0
-3200000.0
]
[
-415056.54748592654
-3200000.0
]
[
-420277.1058330793
-3229701.694631165
]
[
-423889.94925575564
-3250039.2885384765
]
[
-424483.47553571704
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]
[
-425198.49839091714
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]
[
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]
[
-491658.11328237224
-3242264.855933974
]
[
-500000.0
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]
]
]
geo_ref_points:
ll:
x: -500000.0
y: -3300000.0
lr:
x: -400000.0
y: -3300000.0
ul:
x: -500000.0
y: -3200000.0
ur:
x: -400000.0
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: 1.6.2+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 r1304 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r1304
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: