LS7_ETM_NBART_3577_-3_-21_20180418011941500000_v1537611829.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region -3_-21 for 18th April 2018
LS7_ETM_NBART_P54_GANBART01-002_105_074_20180418
LS7_ETM_NBART_3577_-3_-21_20180418011941500000_v1537611829.nc
LS7_ETM_FC_3577_-3_-21_20180418011941500000_v1537697886.nc
LS7_ETM_FC_3577_-3_-21_20180418011941500000_v1537697958.nc
LS7_GM_NBART_-3_-21_20180101.nc
LS7_TMAD_NBART_-3_-21_20180101.nc
LS_WATER_3577_-3_-21_20180418011941500000_v1537759785.nc

Fields 🔗

creation_dt 2018-09-22T11:06:59.839945 creation_time 2018-09-22 11:06:59 format NetCDF id c6d39ba1-b998-4192-91d6-0f89ba597296 instrument ETM label • lat -19.59 to -19.278 lon 129.461 to 130.091 platform LANDSAT_7 product_type nbart time 2018-04-18 01:19:41 to 2018-04-18 01:19:41

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-3_-21/LS7_ETM_NBART_3577_-3_-21_20180418011941500000_v1537611829.nc

Metadata Document 🔗

RAW As Stac
id: c6d39ba1-b998-4192-91d6-0f89ba597296
product_type: nbart
creation_dt: 2018-09-22T11:06:59.839945
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -19.579570246903334
lon: 129.46101286384075
lr:
lat: -19.589825334643116
lon: 130.08650855308503
ul:
lat: -19.278182910269102
lon: 129.46736211791
ur:
lat: -19.28841943516102
lon: 130.09129417024815
to_dt: 2018-04-18T01:19:41.500000
from_dt: 2018-04-18T01:19:41.500000
center_dt: 2018-04-18T01:19:41.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-200000.0
-2074463.6993550449
]
[
-200000.0
-2100000.0
]
[
-265392.5187478766
-2100000.0
]
[
-259941.6139994277
-2073039.9525964984
]
[
-258748.6104495042
-2067291.7406706554
]
[
-257544.56153604365
-2066517.6955406053
]
[
-200000.0
-2074463.6993550449
]
]
]
geo_ref_points:
ll:
x: -300000.0
y: -2100000.0
lr:
x: -200000.0
y: -2100000.0
ul:
x: -300000.0
y: -2000000.0
ur:
x: -200000.0
y: -2000000.0
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
repo_url: https://github.com/opendatacube/datacube-core.git
parameters:
configuration_file: /g/data/v10/public/modules/dea/20180823/lib/python3.6/site-packages/digitalearthau/config/ingestion/ls7_nbart_albers.yaml
machine:
uname: Linux r2904 3.10.0-862.3.3.el6.x86_64 #1 SMP Wed Jun 27 18:22:35 AEST 2018 x86_64
hostname: r2904
software_versions:
python:
version: 3.6.6 | packaged by conda-forge | (default, Jul 26 2018, 09:53:17) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
datacube:
version: 1.6rc2+111.g38313df5
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets: