LS7_ETM_NBART_3577_-10_-35_20190325013257500000_v1554710336.nc

dataset of product ls7_nbart_albers
Indexed by tb1251 , created
Region -10_-35 for 25th March 2019
LS7_ETM_NBART_P54_GANBART01-002_108_081_20190325
LS7_ETM_NBART_3577_-10_-35_20190325013257500000_v1554710336.nc
LS7_ETM_FC_3577_-10_-35_20190325013257500000_v1554754907.nc
LS7_GM_NBART_-10_-35_20190101.nc
LS7_TMAD_NBART_-10_-35_20190101.nc
LS_WATER_3577_-10_-35_20190325013257500000_v1554776503.nc

Fields 🔗

creation_dt 2019-04-08T19:56:28.317621 creation_time 2019-04-08 19:56:28 format NetCDF id d3fd6cdd-ddf6-4c42-88ce-d0d6428a9811 instrument ETM label • lat -31.029 to -30.887 lon 121.948 to 122.477 platform LANDSAT_7 product_type nbart time 2019-03-25 01:32:57 to 2019-03-25 01:32:57

Location 🔗

file:///g/data/rs0/datacube/002/LS7_ETM_NBART/-10_-35/LS7_ETM_NBART_3577_-10_-35_20190325013257500000_v1554710336.nc

Metadata Document 🔗

RAW As Stac
id: d3fd6cdd-ddf6-4c42-88ce-d0d6428a9811
product_type: nbart
creation_dt: 2019-04-08T19:56:28.317621
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -30.995279203491
lon: 121.94789728199179
lr:
lat: -31.028973764268862
lon: 122.4678308475489
ul:
lat: -30.886533562550234
lon: 121.95804683028906
ur:
lat: -30.92019053292351
lon: 122.47745942606952
to_dt: 2019-03-25T01:32:57.500000
from_dt: 2019-03-25T01:32:57.500000
center_dt: 2019-03-25T01:32:57.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-948290.2333258613
-3400000.0
]
[
-900000.0
-3400000.0
]
[
-900000.0
-3412219.2874097093
]
[
-944587.8166061579
-3407837.872697357
]
[
-948240.4739707179
-3407456.5032325806
]
[
-949271.2215459709
-3406968.612846281
]
[
-949288.5653584471
-3406891.7601583493
]
[
-948740.2522866229
-3403004.138135273
]
[
-948290.2333258613
-3400000.0
]
]
]
geo_ref_points:
ll:
x: -1000000.0
y: -3500000.0
lr:
x: -900000.0
y: -3500000.0
ul:
x: -1000000.0
y: -3400000.0
ur:
x: -900000.0
y: -3400000.0
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 r1495 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r1495
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: