LS7_ETM_NBART_3577_5_-39_20191225001513000000_v1583302258.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region 5_-39 for 25th December 2019

Fields 🔗

creation_time 2020-03-04 06:28:12 🔍 format NetCDF id 3cf7cd4a-8df7-402b-a082-8de22c78f20c 🔍 instrument ETM label • 🔍 lat -35.6 to -35.05 🔍 lon 137.597 to 138.629 🔍 platform LANDSAT_7 product_type nbart time 2019-12-25 00:15:13 to 2019-12-25 00:15:13 🔍

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LS7_ETM_NBART_P54_GANBART01-002_097_085_20191225
LS7_ETM_NBART_3577_5_-39_20191225001513000000_v1583302258.nc
LS7_ETM_FC_3577_5_-39_20191225001513000000_v1584579585.nc
LS7_GM_NBART_5_-39_20190101.nc
LS7_TMAD_NBART_5_-39_20190101.nc
LS_WATER_3577_5_-39_20191225001513000000_v1584672374.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/5_-39/LS7_ETM_NBART_3577_5_-39_20191225001513000000_v1583302258.nc

Metadata Document 🔗

RAW As Stac
id: 3cf7cd4a-8df7-402b-a082-8de22c78f20c
product_type: nbart
creation_dt: 2020-03-04T06:28:12.247478
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -35.59978895374415
lon: 137.62422487301433
lr:
lat: -35.56047153393852
lon: 138.62946574546683
ul:
lat: -35.088982765147996
lon: 137.59672603323662
ur:
lat: -35.04990850985015
lon: 138.59706811999752
to_dt: 2019-12-25T00:15:13
from_dt: 2019-12-25T00:15:13
center_dt: 2019-12-25T00:15:13
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
600000.0
-3860163.95618521
]
[
600000.0
-3900000.0
]
[
508892.46862787474
-3900000.0
]
[
510552.3463157622
-3894320.6239516246
]
[
522890.20914441755
-3852231.5081025204
]
[
525416.6644906844
-3843836.9807286137
]
[
526417.852741514
-3843166.631202814
]
[
526794.2135252802
-3843196.2195681236
]
[
592913.7073062595
-3858533.047828945
]
[
600000.0
-3860163.95618521
]
]
]
geo_ref_points:
ll:
x: 500000.0
y: -3900000.0
lr:
x: 600000.0
y: -3900000.0
ul:
x: 500000.0
y: -3800000.0
ur:
x: 600000.0
y: -3800000.0
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: 1.7+253.ga031f3f4
repo_url: https://github.com/opendatacube/datacube-core.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/unstable/lib/python3.6/site-packages/digitalearthau/config/ingestion/ls7_nbart_albers.yaml
machine:
uname: Linux gadi-cpu-clx-2981.gadi.nci.org.au 4.18.0-80.11.2.el8_0.x86_64 #1 SMP Tue Sep 24 11:32:19 UTC 2019 x86_64
hostname: gadi-cpu-clx-2981.gadi.nci.org.au
software_versions:
python:
version: 3.6.7 | packaged by conda-forge | (default, Nov 6 2019, 16:19:42) [GCC 7.3.0]
datacube:
version: 1.7+253.ga031f3f4
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: