LS7_ETM_NBART_3577_-17_-35_20191107015514500000_v1574238255.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region -17_-35 for 7th November 2019
LS7_ETM_NBART_P54_GANBART01-002_113_082_20191107
LS7_ETM_NBART_3577_-17_-35_20191107015514500000_v1574238255.nc
LS7_ETM_FC_3577_-17_-35_20191107015514500000_v1574303329.nc
LS7_GM_NBART_-17_-35_20190101.nc
LS7_TMAD_NBART_-17_-35_20190101.nc
LS_WATER_3577_-17_-35_20191107015514500000_v1574297551.nc

Fields 🔗

creation_dt 2019-11-20T14:20:05.416471 creation_time 2019-11-20 14:20:05 format NetCDF id 5b65aa16-260b-47a7-afcc-1d104e9174d9 instrument ETM label • lat -31.161 to -30.781 lon 114.195 to 115.044 platform LANDSAT_7 product_type nbart time 2019-11-07 01:55:14 to 2019-11-07 01:55:14

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-17_-35/LS7_ETM_NBART_3577_-17_-35_20191107015514500000_v1574238255.nc

Metadata Document 🔗

RAW As Stac
id: 5b65aa16-260b-47a7-afcc-1d104e9174d9
product_type: nbart
creation_dt: 2019-11-20T14:20:05.416471
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -31.067794492863325
lon: 114.19487315525855
lr:
lat: -31.160703046383485
lon: 114.99879097686144
ul:
lat: -30.781335431139738
lon: 114.24239421867821
ur:
lat: -30.87397096781182
lon: 115.04421836210699
to_dt: 2019-11-07T01:55:14.500000
from_dt: 2019-11-07T01:55:14.500000
center_dt: 2019-11-07T01:55:14.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-1600000.0
-3470283.435193881
]
[
-1600000.0
-3500000.0
]
[
-1676623.6890629109
-3500000.0
]
[
-1674493.8199451251
-3476299.5302002532
]
[
-1673727.3028855175
-3468485.330345912
]
[
-1672855.9366450747
-3467628.722460903
]
[
-1672358.0089078394
-3467597.468026681
]
[
-1605346.1604326193
-3470089.467748711
]
[
-1600000.0
-3470283.435193881
]
]
]
geo_ref_points:
ll:
x: -1700000.0
y: -3500000.0
lr:
x: -1600000.0
y: -3500000.0
ul:
x: -1700000.0
y: -3400000.0
ur:
x: -1600000.0
y: -3400000.0
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 r2019 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r2019
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: