LS7_ETM_NBART_3577_-6_-31_20190903011359500000_v1569401634.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region -6_-31 for 3rd September 2019
LS7_ETM_NBART_P54_GANBART01-002_106_080_20190903
LS7_ETM_NBART_3577_-6_-31_20190903011359500000_v1569401634.nc
LS7_ETM_FC_3577_-6_-31_20190903011359500000_v1569460816.nc
LS7_GM_NBART_-6_-31_20190101.nc
LS7_TMAD_NBART_-6_-31_20190101.nc
LS_WATER_3577_-6_-31_20190903011359500000_v1569453213.nc

Fields

creation_dt 2019-09-25T22:04:34.320454 creation_time 2019-09-25 22:04:34 format NetCDF id 014feb2b-2e17-4a57-a75b-10e1c9f8b699 instrument ETM label • lat -28.454 to -27.915 lon 125.799 to 126.855 platform LANDSAT_7 product_type nbart time 2019-09-03 01:13:59 to 2019-09-03 01:13:59

Locations

Active:
file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-6_-31/LS7_ETM_NBART_3577_-6_-31_20190903011359500000_v1569401634.nc

Metadata Document

RAW As Stac
id: 014feb2b-2e17-4a57-a75b-10e1c9f8b699
product_type: nbart
creation_dt: 2019-09-25T22:04:34.320454
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -28.413886545105456
lon: 125.79920096677962
lr:
lat: -28.45353868904758
lon: 126.83142766987895
ul:
lat: -27.915495266367067
lon: 125.82713140435172
ur:
lat: -27.954966816789234
lon: 126.85471971217103
to_dt: 2019-09-03T01:13:59.500000
from_dt: 2019-09-03T01:13:59.500000
center_dt: 2019-09-03T01:13:59.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-500000.0
-3055730.2437773016
]
[
-500000.0
-3100000.0
]
[
-600000.0
-3100000.0
]
[
-600000.0
-3066382.671719227
]
[
-596158.013810937
-3044801.4930028333
]
[
-595128.0273926492
-3044054.90036772
]
[
-594991.6688632616
-3044022.3903896348
]
[
-589938.9843553478
-3044620.928057004
]
[
-500000.0
-3055730.2437773016
]
]
]
geo_ref_points:
ll:
x: -600000.0
y: -3100000.0
lr:
x: -500000.0
y: -3100000.0
ul:
x: -600000.0
y: -3000000.0
ur:
x: -500000.0
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
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 r1307 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r1307
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: