LS7_ETM_NBART_3577_-7_-36_20190903011447500000_v1569401634.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region -7_-36 for 3rd September 2019
LS7_ETM_NBART_P54_GANBART01-002_106_082_20190903
LS7_ETM_NBART_3577_-7_-36_20190903011447500000_v1569401634.nc
LS7_ETM_FC_3577_-7_-36_20190903011447500000_v1569460816.nc
LS7_GM_NBART_-7_-36_20190101.nc
LS7_TMAD_NBART_-7_-36_20190101.nc
LS_WATER_3577_-7_-36_20190903011447500000_v1569453213.nc

Fields

creation_dt 2019-09-25T22:04:33.464876 creation_time 2019-09-25 22:04:33 format NetCDF id 1ac15126-63cd-4182-8cf5-d2ddef2cd804 instrument ETM label • lat -32.517 to -31.938 lon 124.646 to 125.592 platform LANDSAT_7 product_type nbart time 2019-09-03 01:14:47 to 2019-09-03 01:14:47

Locations

Active:
file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-7_-36/LS7_ETM_NBART_3577_-7_-36_20190903011447500000_v1569401634.nc

Metadata Document

RAW As Stac
id: 1ac15126-63cd-4182-8cf5-d2ddef2cd804
product_type: nbart
creation_dt: 2019-09-25T22:04:33.464876
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -32.47632819023882
lon: 124.6460275952902
lr:
lat: -32.517490695632006
lon: 125.55956567973668
ul:
lat: -31.937780000136417
lon: 124.68306940759966
ur:
lat: -31.978703919910437
lon: 125.59202260818066
to_dt: 2019-09-03T01:14:47.500000
from_dt: 2019-09-03T01:14:47.500000
center_dt: 2019-09-03T01:14:47.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-676680.0093534795
-3500000.0
]
[
-600000.0
-3500000.0
]
[
-600000.0
-3560334.97595722
]
[
-613442.8812027231
-3558659.5229495564
]
[
-679428.3673679797
-3550346.6832408006
]
[
-684321.9796130344
-3549720.071552108
]
[
-685267.7181026635
-3549153.3353929
]
[
-685283.0897352337
-3549077.352294309
]
[
-684975.2679735201
-3547158.4191605984
]
[
-677329.9635751632
-3503685.161020269
]
[
-676680.0093534795
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]
]
]
geo_ref_points:
ll:
x: -700000.0
y: -3600000.0
lr:
x: -600000.0
y: -3600000.0
ul:
x: -700000.0
y: -3500000.0
ur:
x: -600000.0
y: -3500000.0
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: 1.6.2+398.g0e94625d
repo_url: https://github.com/opendatacube/datacube-core.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/20190329/lib/python3.6/site-packages/digitalearthau/config/ingestion/ls7_nbart_albers.yaml
machine:
uname: Linux r1311 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r1311
software_versions:
python:
version: 3.6.7 | packaged by conda-forge | (default, Feb 20 2019, 02:51:38) [GCC 7.3.0]
datacube:
version: 1.6.2+398.g0e94625d
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: