LS7_ETM_NBART_3577_5_-31_20190402004226500000_v1556301497.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region 5_-31 for 2nd April 2019

Fields 🔗

creation_time 2019-04-27 09:04:14 🔍 format NetCDF id a54a4634-6980-4cb2-b8db-e6a7bb6435bf 🔍 instrument ETM label • 🔍 lat -28.377 to -27.554 🔍 lon 137.127 to 137.411 🔍 platform LANDSAT_7 product_type nbart time 2019-04-02 00:42:26 to 2019-04-02 00:42:26 🔍

Related Datasets 🔗

LS7_ETM_NBART_P54_GANBART01-002_100_079_20190402
LS7_ETM_NBART_3577_5_-31_20190402004226500000_v1556301497.nc
LS7_ETM_FC_3577_5_-31_20190402004226500000_v1556505760.nc
LS7_GM_NBART_5_-31_20190101.nc
LS7_TMAD_NBART_5_-31_20190101.nc
LS_WATER_3577_5_-31_20190402004226500000_v1556505761.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/5_-31/LS7_ETM_NBART_3577_5_-31_20190402004226500000_v1556301497.nc

Metadata Document 🔗

RAW As Stac
id: a54a4634-6980-4cb2-b8db-e6a7bb6435bf
product_type: nbart
creation_dt: 2019-04-27T09:04:14.457555
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -28.376693656139125
lon: 137.16496867737064
lr:
lat: -28.367912599210996
lon: 137.4106042907859
ul:
lat: -27.562881057260306
lon: 137.12710962627082
ur:
lat: -27.554164595318092
lon: 137.37094890238998
to_dt: 2019-04-02T00:42:26.500000
from_dt: 2019-04-02T00:42:26.500000
center_dt: 2019-04-02T00:42:26.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
500000.0
-3091372.3610402783
]
[
500000.0
-3000000.0
]
[
523806.81442077406
-3000000.0
]
[
521965.2672789221
-3007267.2495909813
]
[
500728.9168881081
-3091222.9371198076
]
[
500250.31808268523
-3091365.378847916
]
[
500000.0
-3091372.3610402783
]
]
]
geo_ref_points:
ll:
x: 500000.0
y: -3100000.0
lr:
x: 600000.0
y: -3100000.0
ul:
x: 500000.0
y: -3000000.0
ur:
x: 600000.0
y: -3000000.0
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 r1768 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r1768
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: