LS7_ETM_NBART_3577_-4_-34_20181223011131000000_v1548211882.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region -4_-34 for 23rd December 2018

Fields 🔗

creation_time 2019-01-23 16:59:32 🔍 format NetCDF id 72f7e58b-a11e-4296-86d8-5f6d8c086f73 🔍 instrument ETM label • 🔍 lat -31.186 to -30.783 🔍 lon 128.051 to 128.832 🔍 platform LANDSAT_7 product_type nbart time 2018-12-23 01:11:31 to 2018-12-23 01:11:31 🔍

Related Datasets 🔗

LS7_ETM_NBART_P54_GANBART01-002_104_082_20181223
LS7_ETM_NBART_3577_-4_-34_20181223011131000000_v1548211882.nc
LS7_ETM_FC_3577_-4_-34_20181223011131000000_v1548283303.nc
LS7_GM_NBART_-4_-34_20180101.nc
LS7_TMAD_NBART_-4_-34_20180101.nc
LS_WATER_3577_-4_-34_20181223011131000000_v1548283314.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-4_-34/LS7_ETM_NBART_3577_-4_-34_20181223011131000000_v1548211882.nc

Metadata Document 🔗

RAW As Stac
id: 72f7e58b-a11e-4296-86d8-5f6d8c086f73
product_type: nbart
creation_dt: 2019-01-23T16:59:32.338288
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -31.16837120898539
lon: 128.05123369566604
lr:
lat: -31.186462842821417
lon: 128.820584921298
ul:
lat: -30.783074189334233
lon: 128.06532153755185
ur:
lat: -30.801094340958564
lon: 128.83193051035704
to_dt: 2018-12-23T01:11:31
from_dt: 2018-12-23T01:11:31
center_dt: 2018-12-23T01:11:31
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-300000.0
-3366102.6257735128
]
[
-300000.0
-3400000.0
]
[
-372635.40546322835
-3400000.0
]
[
-364269.86992274586
-3358564.4061173787
]
[
-364058.2712818304
-3357583.4270849344
]
[
-362899.18483152793
-3356820.636131866
]
[
-300000.0
-3366102.6257735128
]
]
]
geo_ref_points:
ll:
x: -400000.0
y: -3400000.0
lr:
x: -300000.0
y: -3400000.0
ul:
x: -400000.0
y: -3300000.0
ur:
x: -300000.0
y: -3300000.0
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+200.g83bae20d
repo_url: https://github.com/opendatacube/datacube-core.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/20181211/lib/python3.6/site-packages/digitalearthau/config/ingestion/ls7_nbart_albers.yaml
machine:
uname: Linux r1387 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r1387
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+200.g83bae20d
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: