LS8_OLI_NBART_3577_-4_-36_20190406011532000000_v1556301492.nc

dataset of product ls8_nbart_albers
Indexed by tb1251 , created
Region -4_-36 for 6th April 2019

Fields 🔗

creation_time 2019-04-27 12:19:11 🔍 format NetCDF id dc3133a9-b3aa-4f7e-855a-9f6cc33c7d14 🔍 instrument OLI_TIRS label • 🔍 lat -32.606 to -32.055 🔍 lon 127.776 to 128.794 🔍 platform LANDSAT_8 product_type nbart time 2019-04-06 01:15:32 to 2019-04-06 01:15:32 🔍

Related Datasets 🔗

LS8_OLITIRS_NBART_P54_GANBART01-032_104_082_20190406
LS8_OLI_NBART_3577_-4_-36_20190406011532000000_v1556301492.nc
LS8_GM_NBART_-4_-36_20190101.nc
LS8_OLI_FC_3577_-4_-36_20190406011532000000_v1556505762.nc
LS8_TMAD_NBART_-4_-36_20190101.nc
LS_WATER_3577_-4_-36_20190406011532000000_v1556505761.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS8_OLI_NBART/-4_-36/LS8_OLI_NBART_3577_-4_-36_20190406011532000000_v1556301492.nc

Metadata Document 🔗

RAW As Stac
id: dc3133a9-b3aa-4f7e-855a-9f6cc33c7d14
product_type: nbart
creation_dt: 2019-04-27T12:19:11.875764
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -32.58174380882955
lon: 127.77601048760692
lr:
lat: -32.60608125244295
lon: 128.7781256369918
ul:
lat: -32.0553857137875
lon: 127.79680930385398
ur:
lat: -32.07958473417735
lon: 128.79399486516775
to_dt: 2019-04-06T01:15:32
from_dt: 2019-04-06T01:15:32
center_dt: 2019-04-06T01:15:32
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-385457.2302907208
-3500000.0
]
[
-300000.0
-3500000.0
]
[
-300000.0
-3558894.7234056685
]
[
-392552.80868628254
-3539504.2781717908
]
[
-393300.9616985268
-3539343.668705573
]
[
-393370.41393524443
-3539295.471299141
]
[
-393350.0678992433
-3539062.437048987
]
[
-387085.53844942746
-3508051.310647696
]
[
-385457.2302907208
-3500000.0
]
]
]
geo_ref_points:
ll:
x: -400000.0
y: -3600000.0
lr:
x: -300000.0
y: -3600000.0
ul:
x: -400000.0
y: -3500000.0
ur:
x: -300000.0
y: -3500000.0
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
coastal_aerosol:
path:
layer: coastal_aerosol
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/ls8_nbart_albers.yaml
machine:
uname: Linux r3292 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r3292
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: