LS8_OLI_PQ_3577_11_-44_2014_v1501890175.nc#part=4

dataset of product ls8_pq_albers
Indexed by sao547 , created
Region 11_-44 for 14th January 2014
LS8_OLITIRS_PQ_P55_GAPQ01-032_092_087_20140114
LS8_OLI_PQ_3577_11_-44_2014_v1501890175.nc#part=4
COMPOSITE_HIGH_129_146.22_-39.17_20000101_20170101_PER_20.nc
COMPOSITE_HIGH_130_144.38_-39.75_20000101_20170101_PER_20.nc
COMPOSITE_HIGH_207_145.78_-38.76_20000101_20170101_PER_20.nc
COMPOSITE_HIGH_239_145.05_-40.48_20000101_20170101_PER_20.nc
COMPOSITE_HIGH_302_145.18_-38.59_20000101_20170101_PER_20.nc
COUNT_HIGH_129_146.22_-39.17_20000101_20170101_PER_20.nc
COUNT_HIGH_130_144.38_-39.75_20000101_20170101_PER_20.nc
COUNT_HIGH_207_145.78_-38.76_20000101_20170101_PER_20.nc
COUNT_HIGH_239_145.05_-40.48_20000101_20170101_PER_20.nc
COUNT_HIGH_302_145.18_-38.59_20000101_20170101_PER_20.nc
ITEM_REL_129_146.22_-39.17.nc
ITEM_REL_130_144.38_-39.75.nc
ITEM_REL_207_145.78_-38.76.nc
ITEM_REL_239_145.05_-40.48.nc
ITEM_REL_302_145.18_-38.59.nc
LS8_GM_NBART_11_-44_20140101.nc
LS8_TMAD_NBART_11_-44_20140101.nc
LS_PQ_COUNT_3577_11_-44_19860101_20170101.nc
LS_PQ_COUNT_3577_11_-44_20140101_20150101.nc

Fields 🔗

creation_dt 2016-07-12T07:27:49.560210 creation_time 2016-07-12 07:27:49 format NetCDF id c07d378c-6aec-48c4-9f7f-c22cb933eb1d instrument OLI_TIRS label • lat -39.738 to -38.737 lon 144.561 to 145.817 platform LANDSAT_8 product_type pqa time 2014-01-14 00:05:02 to 2014-01-14 00:05:02

Location 🔗

file:///g/data/rs0/datacube/002/LS8_OLI_PQ/11_-44/LS8_OLI_PQ_3577_11_-44_2014_v1501890175.nc#part=4

Metadata Document 🔗

RAW As Stac
id: c07d378c-6aec-48c4-9f7f-c22cb933eb1d
product_type: pqa
creation_dt: 2016-07-12T07:27:49.560210
platform:
code: LANDSAT_8
instrument:
name: OLI_TIRS
format:
name: NetCDF
extent:
coord:
ll:
lat: -39.73779908603407
lon: 144.6735464460197
lr:
lat: -39.643282988351345
lon: 145.8170928872677
ul:
lat: -38.830558267373306
lon: 144.56063855747135
ur:
lat: -38.73723634430454
lon: 145.6941478416134
to_dt: 2014-01-14T00:05:02
from_dt: 2014-01-14T00:05:02
center_dt: 2014-01-14T00:05:02
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1100000.0
-4390634.144757169
]
[
1100000.0
-4300000.0
]
[
1200000.0
-4300000.0
]
[
1200000.0
-4400000.0
]
[
1126833.3934718329
-4400000.0
]
[
1100000.0
-4390634.144757169
]
]
]
geo_ref_points:
ll:
x: 1100000.0
y: -4400000.0
lr:
x: 1200000.0
y: -4400000.0
ul:
x: 1100000.0
y: -4300000.0
ur:
x: 1200000.0
y: -4300000.0
spatial_reference: EPSG:3577
image:
bands:
pixelquality:
path:
layer: pixelquality
lineage:
algorithm:
name: datacube-ingest
version: 1.0.5
repo_url: https://github.com/GeoscienceAustralia/datacube-ingester.git
parameters:
configuration_file: ls8_pq_albers.yaml
machine:
uname: Linux r368 2.6.32-642.1.1.el6.x86_64 #1 SMP Tue May 31 21:57:07 UTC 2016 x86_64
hostname: r368
software_versions:
python:
version: 2.7.12 |Continuum Analytics, Inc.| (default, Jul 2 2016, 17:42:40) [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]
datacube:
version: 1.1.4
repo_url: https://github.com/data-cube/agdc-v2.git
source_datasets: