LS7_ETM_NBART_3577_-1_-31_20181004011217500000_v1539426401.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region -1_-31 for 4th October 2018

Fields 🔗

creation_time 2018-10-13 10:45:24 🔍 format NetCDF id d8b8cb3c-1606-4fa6-95f0-c663a1ac1485 🔍 instrument ETM label • 🔍 lat -28.379 to -27.649 🔍 lon 130.967 to 131.162 🔍 platform LANDSAT_7 product_type nbart time 2018-10-04 01:12:17 to 2018-10-04 01:12:17 🔍

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LS7_ETM_NBART_P54_GANBART01-002_104_079_20181004
LS7_ETM_NBART_3577_-1_-31_20181004011217500000_v1539426401.nc
LS7_ETM_FC_3577_-1_-31_20181004011217500000_v1539512335.nc
LS7_GM_NBART_-1_-31_20180101.nc
LS7_TMAD_NBART_-1_-31_20180101.nc
LS_WATER_3577_-1_-31_20181004011217500000_v1539512435.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-1_-31/LS7_ETM_NBART_3577_-1_-31_20181004011217500000_v1539426401.nc

Metadata Document 🔗

RAW As Stac
id: d8b8cb3c-1606-4fa6-95f0-c663a1ac1485
product_type: nbart
creation_dt: 2018-10-13T10:45:24.561764
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -28.377467228320008
lon: 130.9672691476371
lr:
lat: -28.378665931568406
lon: 131.1563762533135
ul:
lat: -27.648745929399436
lon: 130.97404926455442
ur:
lat: -27.649936717220584
lon: 131.16191491782735
to_dt: 2018-10-04T01:12:17.500000
from_dt: 2018-10-04T01:12:17.500000
center_dt: 2018-10-04T01:12:17.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-100000.0
-3081700.323921708
]
[
-100000.0
-3000000.0
]
[
-81688.04399832553
-3000000.0
]
[
-91348.59004425319
-3047763.3579226513
]
[
-95832.7404172544
-3069921.6638696273
]
[
-98213.17524326895
-3081490.194982147
]
[
-98710.48565122897
-3081706.8358578384
]
[
-99624.0853743279
-3081754.8347367914
]
[
-100000.0
-3081700.323921708
]
]
]
geo_ref_points:
ll:
x: -100000.0
y: -3100000.0
lr:
x: 0.0
y: -3100000.0
ul:
x: -100000.0
y: -3000000.0
ur:
x: 0.0
y: -3000000.0
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
repo_url: https://github.com/opendatacube/datacube-core.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/20181011/lib/python3.6/site-packages/digitalearthau/config/ingestion/ls7_nbart_albers.yaml
machine:
uname: Linux r1378 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r1378
software_versions:
python:
version: 3.6.6 | packaged by conda-forge | (default, Jul 26 2018, 09:53:17) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
datacube:
version: 1.6.1+69.g72992af8
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: