LS7_ETM_NBART_3577_-7_-34_20180425012832500000_v1537611829.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region -7_-34 for 25th April 2018

Fields 🔗

creation_time 2018-09-22 11:03:21 🔍 format NetCDF id 5ead90c3-4767-4878-8328-3140dcebb651 🔍 instrument ETM label • 🔍 lat -31.041 to -30.168 🔍 lon 125.019 to 125.697 🔍 platform LANDSAT_7 product_type nbart time 2018-04-25 01:28:32 to 2018-04-25 01:28:32 🔍

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LS7_ETM_NBART_3577_-7_-34_20180425012832500000_v1537611829.nc
LS7_ETM_FC_3577_-7_-34_20180425012832500000_v1537697886.nc
LS7_ETM_FC_3577_-7_-34_20180425012832500000_v1537697958.nc
LS7_GM_NBART_-7_-34_20180101.nc
LS7_TMAD_NBART_-7_-34_20180101.nc
LS_WATER_3577_-7_-34_20180425012832500000_v1537759785.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-7_-34/LS7_ETM_NBART_3577_-7_-34_20180425012832500000_v1537611829.nc

Metadata Document 🔗

RAW As Stac
id: 5ead90c3-4767-4878-8328-3140dcebb651
product_type: nbart
creation_dt: 2018-09-22T11:03:21.555911
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -31.012899778689206
lon: 125.0193359190327
lr:
lat: -31.04059519725428
lon: 125.64781354556608
ul:
lat: -30.167691526795554
lon: 125.07371383900504
ur:
lat: -30.195151061371675
lon: 125.69731250937504
to_dt: 2018-04-25T01:28:32.500000
from_dt: 2018-04-25T01:28:32.500000
center_dt: 2018-04-25T01:28:32.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-644165.5785722311
-3300000.0
]
[
-600000.0
-3300000.0
]
[
-600000.0
-3394849.2714419244
]
[
-658205.0112191439
-3387417.7144914246
]
[
-658461.902143298
-3387368.823068536
]
[
-659474.2795198392
-3386788.1468367386
]
[
-659476.2640910711
-3386686.965747866
]
[
-657147.228119572
-3373163.919784049
]
[
-648034.643909826
-3321872.0029584067
]
[
-644165.5785722311
-3300000.0
]
]
]
geo_ref_points:
ll:
x: -700000.0
y: -3400000.0
lr:
x: -600000.0
y: -3400000.0
ul:
x: -700000.0
y: -3300000.0
ur:
x: -600000.0
y: -3300000.0
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 r2863 3.10.0-862.3.3.el6.x86_64 #1 SMP Wed Jun 27 18:22:35 AEST 2018 x86_64
hostname: r2863
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: