LS7_ETM_NBART_3577_-17_-29_20191006015501500000_v1573117146.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region -17_-29 for 6th October 2019

Fields 🔗

creation_time 2019-11-08 16:50:57 🔍 format NetCDF id 2933a3c0-3e79-4efb-b8ac-a6e7ed3f3b19 🔍 instrument ETM label • 🔍 lat -25.855 to -25.034 🔍 lon 115.596 to 115.917 🔍 platform LANDSAT_7 product_type nbart time 2019-10-06 01:55:01 to 2019-10-06 01:55:01 🔍

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LS7_ETM_NBART_P54_GANBART01-002_113_078_20191006
LS7_ETM_NBART_3577_-17_-29_20191006015501500000_v1573117146.nc
LS7_ETM_FC_3577_-17_-29_20191006015501500000_v1573710240.nc
LS7_GM_NBART_-17_-29_20190101.nc
LS7_TMAD_NBART_-17_-29_20190101.nc
LS_WATER_3577_-17_-29_20191006015501500000_v1573709072.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-17_-29/LS7_ETM_NBART_3577_-17_-29_20191006015501500000_v1573117146.nc

Metadata Document 🔗

RAW As Stac
id: 2933a3c0-3e79-4efb-b8ac-a6e7ed3f3b19
product_type: nbart
creation_dt: 2019-11-08T16:50:57.083970
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -25.83183852880469
lon: 115.59591342822627
lr:
lat: -25.855260661146893
lon: 115.80256321166993
ul:
lat: -25.033983955183373
lon: 115.71164336177952
ur:
lat: -25.057254771224386
lon: 115.91686649754405
to_dt: 2019-10-06T01:55:01.500000
from_dt: 2019-10-06T01:55:01.500000
center_dt: 2019-10-06T01:55:01.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-1600000.0
-2810267.922091756
]
[
-1600000.0
-2900000.0
]
[
-1620637.7607113468
-2900000.0
]
[
-1617453.480986679
-2865565.5123577495
]
[
-1612882.190296429
-2816622.267463801
]
[
-1612288.473109119
-2810718.9628686695
]
[
-1611307.6893734387
-2809874.0493415627
]
[
-1611199.5666849825
-2809831.6629638956
]
[
-1600000.0
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]
]
]
geo_ref_points:
ll:
x: -1700000.0
y: -2900000.0
lr:
x: -1600000.0
y: -2900000.0
ul:
x: -1700000.0
y: -2800000.0
ur:
x: -1600000.0
y: -2800000.0
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 r1903 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r1903
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: