LS7_ETM_NBART_3577_8_-41_20181113002443500000_v1543573298.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region 8_-41 for 13th November 2018

Fields 🔗

creation_time 2018-11-30 10:36:45 🔍 format NetCDF id a8df6abc-2f3f-4b4f-b8da-d1d5ef96487e 🔍 instrument ETM label • 🔍 lat -37.252 to -36.799 🔍 lon 140.95 to 141.181 🔍 platform LANDSAT_7 product_type nbart time 2018-11-13 00:24:43 to 2018-11-13 00:24:43 🔍

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LS7_ETM_NBART_P54_GANBART01-002_096_086_20181113
LS7_ETM_NBART_3577_8_-41_20181113002443500000_v1543573298.nc
LS7_ETM_FC_3577_8_-41_20181113002443500000_v1543791209.nc
LS7_GM_NBART_8_-41_20180101.nc
LS7_TMAD_NBART_8_-41_20180101.nc
LS_WATER_3577_8_-41_20181113002443500000_v1543791039.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/8_-41/LS7_ETM_NBART_3577_8_-41_20181113002443500000_v1543573298.nc

Metadata Document 🔗

RAW As Stac
id: a8df6abc-2f3f-4b4f-b8da-d1d5ef96487e
product_type: nbart
creation_dt: 2018-11-30T10:36:45.272772
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -37.25161469988089
lon: 140.98823944755603
lr:
lat: -37.24055136296253
lon: 141.18096021796384
ul:
lat: -36.810017087423354
lon: 140.94976225409857
ur:
lat: -36.79901677962264
lon: 141.1416636105382
to_dt: 2018-11-13T00:24:43.500000
from_dt: 2018-11-13T00:24:43.500000
center_dt: 2018-11-13T00:24:43.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
804136.0130597841
-4100000.0
]
[
800000.0
-4100000.0
]
[
800000.0
-4051033.239593365
]
[
814170.617435589
-4054484.654101472
]
[
817048.5954984599
-4055218.8735416867
]
[
817211.726624607
-4056223.1949354107
]
[
816679.55214923
-4058066.516966396
]
[
804136.0130597841
-4100000.0
]
]
]
geo_ref_points:
ll:
x: 800000.0
y: -4100000.0
lr:
x: 900000.0
y: -4100000.0
ul:
x: 800000.0
y: -4000000.0
ur:
x: 900000.0
y: -4000000.0
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: 1.6.1+72.gdfc6b47a
repo_url: https://github.com/opendatacube/datacube-core.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/20181015/lib/python3.6/site-packages/digitalearthau/config/ingestion/ls7_nbart_albers.yaml
machine:
uname: Linux r74 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r74
software_versions:
python:
version: 3.6.6 | packaged by conda-forge | (default, Oct 12 2018, 14:08:43) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
datacube:
version: 1.6.1+72.gdfc6b47a
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: