LS7_ETM_NBART_3577_2_-26_20201004001946500000_v1602860623.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region 2_-26 for 4th October 2020
LS7_ETM_NBART_P54_GANBART01-002_101_076_20201004
LS7_ETM_NBART_3577_2_-26_20201004001946500000_v1602860623.nc
LS7_ETM_FC_3577_2_-26_20201004001946500000_v1602862095.nc
LS7_GM_NBART_2_-26_20200101.nc
LS7_TMAD_NBART_2_-26_20200101.nc
LS_WATER_3577_2_-26_20201004001946500000_v1602865354.nc
LS_WATER_3577_2_-26_20201004001946500000_v1608606541.nc

Fields 🔗

creation_time 2020-10-16 15:21:14 format NetCDF id f56b0121-e0f5-4e8b-a02c-e5dc11f51cc6 instrument ETM label • lat -23.826 to -23.159 lon 134.66 to 134.976 platform LANDSAT_7 product_type nbart time 2020-10-04 00:19:46 to 2020-10-04 00:19:46

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/2_-26/LS7_ETM_NBART_3577_2_-26_20201004001946500000_v1602860623.nc

Metadata Document 🔗

RAW As Stac
id: f56b0121-e0f5-4e8b-a02c-e5dc11f51cc6
product_type: nbart
creation_dt: 2020-10-16T15:21:14.655541
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -23.825509248807986
lon: 134.67505711276843
lr:
lat: -23.819521939129675
lon: 134.97553297227196
ul:
lat: -23.165454381474476
lon: 134.65980662383117
ur:
lat: -23.159496304276797
lon: 134.95857063827395
to_dt: 2020-10-04T00:19:46.500000
from_dt: 2020-10-04T00:19:46.500000
center_dt: 2020-10-04T00:19:46.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
286094.1124008716
-2500000.0
]
[
300000.0
-2500000.0
]
[
300000.0
-2573861.6085309717
]
[
275636.9392193601
-2569225.795233334
]
[
270386.2404592127
-2568218.5388594815
]
[
269695.98651515914
-2567641.429736263
]
[
270300.5823617019
-2564672.6590621257
]
[
276569.1132715526
-2538886.546690678
]
[
286094.1124008716
-2500000.0
]
]
]
geo_ref_points:
ll:
x: 200000.0
y: -2600000.0
lr:
x: 300000.0
y: -2600000.0
ul:
x: 200000.0
y: -2500000.0
ur:
x: 300000.0
y: -2500000.0
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-2864.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-2864.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: