LS7_ETM_NBART_3577_1_-33_20191110004643500000_v1574238255.nc

dataset of product ls7_nbart_albers
Indexed by lpgs , created
Region 1_-33 for 10th November 2019

Fields 🔗

creation_time 2019-11-20 14:20:53 🔍 format NetCDF id bd9ab022-9064-41d8-93f4-9281b8287e41 🔍 instrument ETM label • 🔍 lat -30.324 to -29.545 🔍 lon 133.044 to 133.784 🔍 platform LANDSAT_7 product_type nbart time 2019-11-10 00:46:43 to 2019-11-10 00:46:43 🔍

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LS7_ETM_NBART_P54_GANBART01-002_102_081_20191110
LS7_ETM_NBART_3577_1_-33_20191110004643500000_v1574238255.nc
LS7_ETM_FC_3577_1_-33_20191110004643500000_v1574303329.nc
LS7_GM_NBART_1_-33_20190101.nc
LS7_TMAD_NBART_1_-33_20190101.nc
LS_WATER_3577_1_-33_20191110004643500000_v1574297551.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/1_-33/LS7_ETM_NBART_3577_1_-33_20191110004643500000_v1574238255.nc

Metadata Document 🔗

RAW As Stac
id: bd9ab022-9064-41d8-93f4-9281b8287e41
product_type: nbart
creation_dt: 2019-11-20T14:20:53.514916
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -30.32355100083848
lon: 133.05127722086925
lr:
lat: -30.31665423115962
lon: 133.78363580067315
ul:
lat: -29.552314179462666
lon: 133.04385026118956
ur:
lat: -29.545469590711086
lon: 133.77103600357808
to_dt: 2019-11-10T00:46:43.500000
from_dt: 2019-11-10T00:46:43.500000
center_dt: 2019-11-10T00:46:43.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
153269.62229060644
-3300000.0
]
[
100000.0
-3300000.0
]
[
100000.0
-3213533.9013352683
]
[
166330.28056359012
-3224887.6270282054
]
[
168596.45956548542
-3225298.1795220273
]
[
169670.8917813864
-3226342.953929344
]
[
169480.40986584703
-3227374.0854624733
]
[
153269.62229060644
-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 r2034 3.10.0-957.21.3.el6.x86_64 #1 SMP Wed Jun 19 09:41:06 AEST 2019 x86_64
hostname: r2034
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: