LS7_ETM_NBART_3577_-5_-33_20201108004957500000_v1605883148.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region -5_-33 for 8th November 2020

Fields 🔗

creation_time 2020-11-20 14:45:04 🔍 format NetCDF id a58dc182-513e-40d1-8adb-e0a4f987aac7 🔍 instrument ETM label • 🔍 lat -29.824 to -29.344 🔍 lon 126.768 to 127.692 🔍 platform LANDSAT_7 product_type nbart time 2020-11-08 00:49:57 to 2020-11-08 00:49:57 🔍

Related Datasets 🔗

LS7_ETM_NBART_P54_GANBART01-002_106_080_20201108
LS7_ETM_NBART_3577_-5_-33_20201108004957500000_v1605883148.nc
LS7_ETM_FC_3577_-5_-33_20201108004957500000_v1605883685.nc
LS7_GM_NBART_-5_-33_20200101.nc
LS7_TMAD_NBART_-5_-33_20200101.nc
LS_WATER_3577_-5_-33_20201108004957500000_v1605887424.nc
LS_WATER_3577_-5_-33_20201108004957500000_v1608606541.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-5_-33/LS7_ETM_NBART_3577_-5_-33_20201108004957500000_v1605883148.nc

Metadata Document 🔗

RAW As Stac
id: a58dc182-513e-40d1-8adb-e0a4f987aac7
product_type: nbart
creation_dt: 2020-11-20T14:45:04.543334
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -29.79484248787024
lon: 126.76772161166507
lr:
lat: -29.82376676159616
lon: 127.67438464232704
ul:
lat: -29.344333803147297
lon: 126.7892892594974
ur:
lat: -29.37313184051483
lon: 127.69222126688808
to_dt: 2020-11-08T00:49:57.500000
from_dt: 2020-11-08T00:49:57.500000
center_dt: 2020-11-08T00:49:57.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-500000.0
-3241289.862766403
]
[
-500000.0
-3200000.0
]
[
-413285.4800109193
-3200000.0
]
[
-422057.17129927035
-3250277.8477051985
]
[
-423386.08561883145
-3250560.0314070284
]
[
-423617.0069114485
-3250539.989543027
]
[
-424137.03957146785
-3250477.282577041
]
[
-500000.0
-3241289.862766403
]
]
]
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: 1.8.3
repo_url: https://github.com/opendatacube/datacube-core.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/20200828/lib/python3.6/site-packages/digitalearthau/config/ingestion/ls7_nbart_albers.yaml
machine:
uname: Linux gadi-cpu-clx-2231.gadi.nci.org.au 4.18.0-193.19.1.el8.nci.x86_64 #1 SMP Fri Sep 18 06:31:13 UTC 2020 x86_64
hostname: gadi-cpu-clx-2231.gadi.nci.org.au
software_versions:
python:
version: 3.6.10 | packaged by conda-forge | (default, Apr 24 2020, 16:44:11) [GCC 7.3.0]
datacube:
version: 1.8.3
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: