LS7_ETM_NBART_3577_-6_-36_20190928010730500000_v1571374926.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region -6_-36 for 28th September 2019

Fields 🔗

creation_time 2019-10-18 08:57:51 🔍 format NetCDF id a347a5b6-b00f-4332-bac4-c3a13a87fa09 🔍 instrument ETM label • 🔍 lat -32.446 to -32.004 🔍 lon 126.205 to 126.659 🔍 platform LANDSAT_7 product_type nbart time 2019-09-28 01:07:30 to 2019-09-28 01:07:30 🔍

Related Datasets 🔗

LS7_ETM_NBART_P54_GANBART01-002_105_082_20190928
LS7_ETM_NBART_3577_-6_-36_20190928010730500000_v1571374926.nc
LS7_ETM_FC_3577_-6_-36_20190928010730500000_v1571535921.nc
LS7_GM_NBART_-6_-36_20190101.nc
LS7_TMAD_NBART_-6_-36_20190101.nc
LS_WATER_3577_-6_-36_20190928010730500000_v1571531953.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-6_-36/LS7_ETM_NBART_3577_-6_-36_20190928010730500000_v1571374926.nc

Metadata Document 🔗

RAW As Stac
id: a347a5b6-b00f-4332-bac4-c3a13a87fa09
product_type: nbart
creation_dt: 2019-10-18T08:57:51.723898
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -32.43043155212081
lon: 126.20524366837677
lr:
lat: -32.44617832515914
lon: 126.63725951328932
ul:
lat: -32.00411586302114
lon: 126.22835343902625
ur:
lat: -32.01979035889044
lon: 126.65865057186201
to_dt: 2019-09-28T01:07:30.500000
from_dt: 2019-09-28T01:07:30.500000
center_dt: 2019-09-28T01:07:30.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-532549.2577414183
-3500000.0
]
[
-500000.0
-3500000.0
]
[
-500000.0
-3547730.843568444
]
[
-534571.9637244234
-3542948.792285647
]
[
-539468.9095489851
-3542259.769544999
]
[
-540332.6279904643
-3541692.3772569154
]
[
-540189.8897087742
-3540655.5856425893
]
[
-536939.1918989342
-3523302.9105760944
]
[
-532549.2577414183
-3500000.0
]
]
]
geo_ref_points:
ll:
x: -600000.0
y: -3600000.0
lr:
x: -500000.0
y: -3600000.0
ul:
x: -600000.0
y: -3500000.0
ur:
x: -500000.0
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 r1941 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r1941
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: