LS7_ETM_NBART_3577_1_-33_20190923004846500000_v1571374926.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region 1_-33 for 23rd September 2019

Fields 🔗

creation_time 2019-10-18 08:58:40 🔍 format NetCDF id 426671d5-198f-4fb7-8962-65e88d3f1a80 🔍 instrument ETM label • 🔍 lat -30.324 to -29.543 🔍 lon 133.044 to 133.804 🔍 platform LANDSAT_7 product_type nbart time 2019-09-23 00:48:46 to 2019-09-23 00:48:46 🔍

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LS7_ETM_NBART_P54_GANBART01-002_102_081_20190923
LS7_ETM_NBART_3577_1_-33_20190923004846500000_v1571374926.nc
LS7_ETM_FC_3577_1_-33_20190923004846500000_v1571535921.nc
LS7_GM_NBART_1_-33_20190101.nc
LS7_TMAD_NBART_1_-33_20190101.nc
LS_WATER_3577_1_-33_20190923004846500000_v1571531953.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/1_-33/LS7_ETM_NBART_3577_1_-33_20190923004846500000_v1571374926.nc

Metadata Document 🔗

RAW As Stac
id: 426671d5-198f-4fb7-8962-65e88d3f1a80
product_type: nbart
creation_dt: 2019-10-18T08:58:40.185289
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -30.32355100083848
lon: 133.05127722086925
lr:
lat: -30.316409861133838
lon: 133.80413882585233
ul:
lat: -29.55051933648089
lon: 133.04383309528194
ur:
lat: -29.543432349566846
lon: 133.79136477448202
to_dt: 2019-09-23T00:48:46.500000
from_dt: 2019-09-23T00:48:46.500000
center_dt: 2019-09-23T00:48:46.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
155228.35159132665
-3300000.0
]
[
100000.0
-3300000.0
]
[
100000.0
-3213332.6273284988
]
[
102231.97573727033
-3213716.314371258
]
[
168354.1269875111
-3225038.9191260496
]
[
170549.1947511422
-3225448.4832588336
]
[
171621.52905885494
-3226493.2123158495
]
[
169711.00798233863
-3235198.101011239
]
[
155228.35159132665
-3300000.0
]
]
]
geo_ref_points:
ll:
x: 100000.0
y: -3300000.0
lr:
x: 200000.0
y: -3300000.0
ul:
x: 100000.0
y: -3200000.0
ur:
x: 200000.0
y: -3200000.0
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 r1936 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r1936
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: