LS7_ETM_NBART_3577_-7_-34_20190428011922500000_v1557719048.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region -7_-34 for 28th April 2019

Fields 🔗

creation_time 2019-05-13 08:52:17 🔍 format NetCDF id 609106fd-7ef8-4bdd-be3a-49e9e11c5fa7 🔍 instrument ETM label • 🔍 lat -31.042 to -30.169 🔍 lon 125.04 to 125.697 🔍 platform LANDSAT_7 product_type nbart time 2019-04-28 01:19:22 to 2019-04-28 01:19:22 🔍

Related Datasets 🔗

LS7_ETM_NBART_P54_GANBART01-002_106_081_20190428
LS7_ETM_NBART_3577_-7_-34_20190428011922500000_v1557719048.nc
LS7_ETM_FC_3577_-7_-34_20190428011922500000_v1557791487.nc
LS7_GM_NBART_-7_-34_20190101.nc
LS7_TMAD_NBART_-7_-34_20190101.nc
LS_WATER_3577_-7_-34_20190428011922500000_v1557796663.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-7_-34/LS7_ETM_NBART_3577_-7_-34_20190428011922500000_v1557719048.nc

Metadata Document 🔗

RAW As Stac
id: 609106fd-7ef8-4bdd-be3a-49e9e11c5fa7
product_type: nbart
creation_dt: 2019-05-13T08:52:17.357576
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -31.01478980996643
lon: 125.04000241027487
lr:
lat: -31.041530284391555
lon: 125.64775838917706
ul:
lat: -30.168638598146426
lon: 125.09427991844315
ur:
lat: -30.195151061371675
lon: 125.69731250937504
to_dt: 2019-04-28T01:19:22.500000
from_dt: 2019-04-28T01:19:22.500000
center_dt: 2019-04-28T01:19:22.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-642220.9770301228
-3300000.0
]
[
-600000.0
-3300000.0
]
[
-600000.0
-3394954.1375802564
]
[
-640360.0869556062
-3389867.0662693293
]
[
-656491.8036281938
-3387815.4864181117
]
[
-657501.567752535
-3387224.8022016315
]
[
-657514.2695377517
-3387148.26522265
]
[
-654140.1812824482
-3367784.6585338437
]
[
-647179.0941212316
-3328104.226793659
]
[
-642220.9770301228
-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
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 r3245 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r3245
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: