LS7_ETM_NBART_3577_-14_-27_20191107015250500000_v1574238255.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region -14_-27 for 7th November 2019

Fields 🔗

creation_time 2019-11-20 14:21:51 🔍 format NetCDF id ae3fe0fd-20b0-477a-b8ab-423b70986b30 🔍 instrument ETM label • 🔍 lat -24.069 to -23.405 🔍 lon 118.059 to 118.259 🔍 platform LANDSAT_7 product_type nbart time 2019-11-07 01:52:50 to 2019-11-07 01:52:50 🔍

Related Datasets 🔗

LS7_ETM_NBART_P54_GANBART01-002_113_076_20191107
LS7_ETM_NBART_3577_-14_-27_20191107015250500000_v1574238255.nc
LS7_ETM_FC_3577_-14_-27_20191107015250500000_v1574303329.nc
LS7_GM_NBART_-14_-27_20190101.nc
LS7_TMAD_NBART_-14_-27_20190101.nc
LS_WATER_3577_-14_-27_20191107015250500000_v1574297551.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-14_-27/LS7_ETM_NBART_3577_-14_-27_20191107015250500000_v1574238255.nc

Metadata Document 🔗

RAW As Stac
id: ae3fe0fd-20b0-477a-b8ab-423b70986b30
product_type: nbart
creation_dt: 2019-11-20T14:21:51.809306
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -24.056597268557674
lon: 118.05912224018243
lr:
lat: -24.068562406778703
lon: 118.18117739497868
ul:
lat: -23.404891555616903
lon: 118.13807838381153
ur:
lat: -23.416798331370405
lon: 118.25945303643903
to_dt: 2019-11-07T01:52:50.500000
from_dt: 2019-11-07T01:52:50.500000
center_dt: 2019-11-07T01:52:50.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-1400000.0
-2673173.3036027155
]
[
-1400000.0
-2600000.0
]
[
-1387646.1656514849
-2600000.0
]
[
-1390643.4859132955
-2630930.240392439
]
[
-1394733.7273512585
-2673002.290315618
]
[
-1395340.2705947938
-2673353.391376777
]
[
-1395651.2704396825
-2673366.1323755956
]
[
-1400000.0
-2673173.3036027155
]
]
]
geo_ref_points:
ll:
x: -1400000.0
y: -2700000.0
lr:
x: -1300000.0
y: -2700000.0
ul:
x: -1400000.0
y: -2600000.0
ur:
x: -1300000.0
y: -2600000.0
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 r2030 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r2030
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: