LS7_ETM_NBART_3577_-4_-26_20190903011247500000_v1569401634.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region -4_-26 for 3rd September 2019
LS7_ETM_NBART_P54_GANBART01-002_106_077_20190903
LS7_ETM_NBART_3577_-4_-26_20190903011247500000_v1569401634.nc
LS7_ETM_FC_3577_-4_-26_20190903011247500000_v1569460816.nc
LS7_GM_NBART_-4_-26_20190101.nc
LS7_TMAD_NBART_-4_-26_20190101.nc
LS_WATER_3577_-4_-26_20190903011247500000_v1569453213.nc

Fields

creation_dt 2019-09-25T22:04:27.538274 creation_time 2019-09-25 22:04:27 format NetCDF id 274cc541-6990-48d6-acbe-be5799c19e05 instrument ETM label • lat -24.052 to -23.758 lon 128.025 to 128.976 platform LANDSAT_7 product_type nbart time 2019-09-03 01:12:47 to 2019-09-03 01:12:47

Locations

Active:
file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-4_-26/LS7_ETM_NBART_3577_-4_-26_20190903011247500000_v1569401634.nc

Metadata Document

RAW As Stac
id: 274cc541-6990-48d6-acbe-be5799c19e05
product_type: nbart
creation_dt: 2019-09-25T22:04:27.538274
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -24.028652183921995
lon: 128.02511805074943
lr:
lat: -24.051922976324366
lon: 128.96897893636353
ul:
lat: -23.757877064170092
lon: 128.03446813046594
ur:
lat: -23.781100247386856
lon: 128.9761107000626
to_dt: 2019-09-03T01:12:47.500000
from_dt: 2019-09-03T01:12:47.500000
center_dt: 2019-09-03T01:12:47.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-308063.51425257657
-2600000.0
]
[
-400000.0
-2600000.0
]
[
-400000.0
-2569677.154045801
]
[
-375843.1869805899
-2572799.500965303
]
[
-310061.4828941444
-2581333.275271112
]
[
-305398.143510447
-2581972.1792335142
]
[
-304976.26332869136
-2583013.6309861657
]
[
-308063.51425257657
-2600000.0
]
]
]
geo_ref_points:
ll:
x: -400000.0
y: -2600000.0
lr:
x: -300000.0
y: -2600000.0
ul:
x: -400000.0
y: -2500000.0
ur:
x: -300000.0
y: -2500000.0
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: