LS7_ETM_NBART_3577_-11_-30_20190401013806000000_v1556301497.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region -11_-30 for 1st April 2019
LS7_ETM_NBART_P54_GANBART01-002_109_079_20190401
LS7_ETM_NBART_3577_-11_-30_20190401013806000000_v1556301497.nc
LS7_ETM_FC_3577_-11_-30_20190401013806000000_v1556505760.nc
LS7_GM_NBART_-11_-30_20190101.nc
LS7_TMAD_NBART_-11_-30_20190101.nc
LS_WATER_3577_-11_-30_20190401013806000000_v1556505761.nc

Fields 🔗

creation_dt 2019-04-27T11:05:47.255369 creation_time 2019-04-27 11:05:47 format NetCDF id 7ea9767b-5388-4ace-8b56-8c7c5fa17860 instrument ETM label • lat -27.295 to -26.467 lon 121.391 to 121.836 platform LANDSAT_7 product_type nbart time 2019-04-01 01:38:06 to 2019-04-01 01:38:06

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-11_-30/LS7_ETM_NBART_3577_-11_-30_20190401013806000000_v1556301497.nc

Metadata Document 🔗

RAW As Stac
id: 7ea9767b-5388-4ace-8b56-8c7c5fa17860
product_type: nbart
creation_dt: 2019-04-27T11:05:47.255369
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -27.268495246360217
lon: 121.39076774940271
lr:
lat: -27.294975231409563
lon: 121.7622430618488
ul:
lat: -26.46680378722253
lon: 121.46674781115226
ur:
lat: -26.493100574775177
lon: 121.83558572001839
to_dt: 2019-04-01T01:38:06
from_dt: 2019-04-01T01:38:06
center_dt: 2019-04-01T01:38:06
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-1000000.0
-2911843.0989517723
]
[
-1000000.0
-3000000.0
]
[
-1036449.254596817
-3000000.0
]
[
-1031260.9197223625
-2963169.2200883506
]
[
-1023925.9345427899
-2911499.819227289
]
[
-1023761.2331967071
-2910507.2939462806
]
[
-1022637.9914870107
-2909765.38560824
]
[
-1000000.0
-2911843.0989517723
]
]
]
geo_ref_points:
ll:
x: -1100000.0
y: -3000000.0
lr:
x: -1000000.0
y: -3000000.0
ul:
x: -1100000.0
y: -2900000.0
ur:
x: -1000000.0
y: -2900000.0
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 r1768 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r1768
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: