LS7_ETM_NBART_3577_14_-24_20181014000814500000_v1541111839.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region 14_-24 for 14th October 2018

Fields 🔗

creation_time 2018-11-01 22:57:36 🔍 format NetCDF id 53ea24a8-c66b-46c3-996b-e9a190daca38 🔍 instrument ETM label • 🔍 lat -20.984 to -20.635 🔍 lon 146.139 to 146.546 🔍 platform LANDSAT_7 product_type nbart time 2018-10-14 00:08:14 to 2018-10-14 00:08:14 🔍

Related Datasets 🔗

LS7_ETM_NBART_P54_GANBART01-002_094_074_20181014
LS7_ETM_NBART_3577_14_-24_20181014000814500000_v1541111839.nc
LS7_ETM_FC_3577_14_-24_20181014000814500000_v1541123455.nc
LS7_GM_NBART_14_-24_20180101.nc
LS7_TMAD_NBART_14_-24_20180101.nc
LS_WATER_3577_14_-24_20181014000814500000_v1541117988.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/14_-24/LS7_ETM_NBART_3577_14_-24_20181014000814500000_v1541111839.nc

Metadata Document 🔗

RAW As Stac
id: 53ea24a8-c66b-46c3-996b-e9a190daca38
product_type: nbart
creation_dt: 2018-11-01T22:57:36.369178
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -20.984092851027512
lon: 146.1757629587936
lr:
lat: -20.9453379524281
lon: 146.54600422091872
ul:
lat: -20.673432082158968
lon: 146.13853698483197
ur:
lat: -20.63475508625344
lon: 146.50782256127616
to_dt: 2018-10-14T00:08:14.500000
from_dt: 2018-10-14T00:08:14.500000
center_dt: 2018-10-14T00:08:14.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1469533.0584757335
-2300000.0
]
[
1500000.0
-2300000.0
]
[
1500000.0
-2334821.958807636
]
[
1466190.1302549613
-2325453.44224521
]
[
1462362.7674753629
-2324373.294769943
]
[
1461500.9915179415
-2323708.2758782334
]
[
1462091.4895268495
-2321803.1682561506
]
[
1464581.6072379313
-2314391.919145803
]
[
1469533.0584757335
-2300000.0
]
]
]
geo_ref_points:
ll:
x: 1400000.0
y: -2400000.0
lr:
x: 1500000.0
y: -2400000.0
ul:
x: 1400000.0
y: -2300000.0
ur:
x: 1500000.0
y: -2300000.0
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: 1.6.1+139.g9509423c
repo_url: https://github.com/opendatacube/datacube-core.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/20181101/lib/python3.6/site-packages/digitalearthau/config/ingestion/ls7_nbart_albers.yaml
machine:
uname: Linux r78 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r78
software_versions:
python:
version: 3.6.6 | packaged by conda-forge | (default, Oct 12 2018, 14:08:43) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
datacube:
version: 1.6.1+139.g9509423c
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: