LS7_ETM_NBART_3577_6_-30_20181017004039500000_v1541111839.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region 6_-30 for 17th October 2018

Fields 🔗

creation_time 2018-11-01 22:58:20 🔍 format NetCDF id 6a3b8084-1e6f-418b-bbb3-efebaec549a7 🔍 instrument ETM label • 🔍 lat -26.979 to -26.587 🔍 lon 138.102 to 139.139 🔍 platform LANDSAT_7 product_type nbart time 2018-10-17 00:40:39 to 2018-10-17 00:40:39 🔍

Related Datasets 🔗

LS7_ETM_NBART_P54_GANBART01-002_099_078_20181017
LS7_ETM_NBART_3577_6_-30_20181017004039500000_v1541111839.nc
LS7_ETM_FC_3577_6_-30_20181017004039500000_v1541123455.nc
LS7_GM_NBART_6_-30_20180101.nc
LS7_TMAD_NBART_6_-30_20180101.nc
LS_WATER_3577_6_-30_20181017004039500000_v1541117988.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/6_-30/LS7_ETM_NBART_3577_6_-30_20181017004039500000_v1541111839.nc

Metadata Document 🔗

RAW As Stac
id: 6a3b8084-1e6f-418b-bbb3-efebaec549a7
product_type: nbart
creation_dt: 2018-11-01T22:58:20.054025
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -26.97872448692606
lon: 138.1210471096773
lr:
lat: -26.932480026574705
lon: 139.13925026170338
ul:
lat: -26.633117872794404
lon: 138.10214993521586
ur:
lat: -26.58701097230756
lon: 139.11722174862368
to_dt: 2018-10-17T00:40:39.500000
from_dt: 2018-10-17T00:40:39.500000
center_dt: 2018-10-17T00:40:39.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
600000.0
-2919472.755883974
]
[
600000.0
-2900000.0
]
[
700000.0
-2900000.0
]
[
700000.0
-2911925.4007528136
]
[
692808.7329243239
-2938662.5812412235
]
[
692273.4753734305
-2938803.314233266
]
[
691305.232534018
-2938810.690238991
]
[
688765.2137460907
-2938274.6387996934
]
[
600000.0
-2919472.755883974
]
]
]
geo_ref_points:
ll:
x: 600000.0
y: -3000000.0
lr:
x: 700000.0
y: -3000000.0
ul:
x: 600000.0
y: -2900000.0
ur:
x: 700000.0
y: -2900000.0
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 r76 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r76
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: