LS5_TM_NBAR_3577_18_-23_2009_v1496827052.nc#part=20

dataset of product ls5_nbar_albers
Indexed by sao547 , created
Region 18_-23 for 2nd December 2009

Fields 🔗

creation_time 2016-07-15 08:51:11 🔍 format NetCDF id 930ed780-9318-4dd6-a3cb-8f068fa9c6f1 🔍 instrument TM label • 🔍 lat -20.299 to -19.284 🔍 lon 149.247 to 150.329 🔍 platform LANDSAT_5 product_type nbar time 2009-12-01 23:49:09 to 2009-12-01 23:49:09 🔍

Related Datasets 🔗

LS5_TM_NBAR_P54_GANBAR01-002_092_074_20091201
LS5_TM_NBAR_3577_18_-23_2009_v1496827052.nc#part=20
COMPOSITE_HIGH_145_149.3_-19.84_19950101_20170101_PER_20.nc
COMPOSITE_HIGH_161_149.9_-19.92_19950101_20170101_PER_20.nc
COMPOSITE_HIGH_203_149.98_-19.87_19950101_20170101_PER_20.nc
COMPOSITE_HIGH_229_150.26_-19.4_19950101_20170101_PER_20.nc
COMPOSITE_HIGH_60_150.33_-20.41_19950101_20170101_PER_20.nc
COMPOSITE_HIGH_9_149.41_-20.22_19950101_20170101_PER_20.nc
COUNT_HIGH_145_149.3_-19.84_19950101_20170101_PER_20.nc
COUNT_HIGH_161_149.9_-19.92_19950101_20170101_PER_20.nc
COUNT_HIGH_203_149.98_-19.87_19950101_20170101_PER_20.nc
COUNT_HIGH_229_150.26_-19.4_19950101_20170101_PER_20.nc
COUNT_HIGH_60_150.33_-20.41_19950101_20170101_PER_20.nc
COUNT_HIGH_9_149.41_-20.22_19950101_20170101_PER_20.nc
ITEM_REL_145_149.30_-19.84.nc
ITEM_REL_161_149.90_-19.92.nc
ITEM_REL_203_149.98_-19.87.nc
ITEM_REL_229_150.26_-19.40.nc
ITEM_REL_60_150.33_-20.41.nc
ITEM_REL_9_149.41_-20.22.nc

Location 🔗

file:///g/data/rs0/datacube/002/LS5_TM_NBAR/18_-23/LS5_TM_NBAR_3577_18_-23_2009_v1496827052.nc#part=20

Metadata Document 🔗

RAW As Stac
id: 930ed780-9318-4dd6-a3cb-8f068fa9c6f1
product_type: nbar
creation_dt: 2016-07-15T08:51:11.062466
platform:
code: LANDSAT_5
instrument:
name: TM
format:
name: NetCDF
extent:
coord:
ll:
lat: -20.29932055003645
lon: 149.37665539210985
lr:
lat: -20.174138667530375
lon: 150.3291722748882
ul:
lat: -19.408100966571197
lon: 149.24712547998047
ur:
lat: -19.283601040013014
lon: 150.1927306199527
to_dt: 2009-12-01T23:49:09.500000
from_dt: 2009-12-01T23:49:09.500000
center_dt: 2009-12-01T23:49:09.500000
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1900000.0
-2211241.967604545
]
[
1900000.0
-2300000.0
]
[
1800000.0
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]
[
1800000.0
-2290583.418905554
]
[
1805072.2446523046
-2276910.114949441
]
[
1830642.629195371
-2208299.521584506
]
[
1833757.048124031
-2200000.0
]
[
1863502.6882461137
-2200000.0
]
[
1900000.0
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]
]
]
geo_ref_points:
ll:
x: 1800000.0
y: -2300000.0
lr:
x: 1900000.0
y: -2300000.0
ul:
x: 1800000.0
y: -2200000.0
ur:
x: 1900000.0
y: -2200000.0
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: 1.0.5
repo_url: https://github.com/GeoscienceAustralia/datacube-ingester.git
parameters:
configuration_file: ls5_nbar_albers.yaml
machine:
uname: Linux r1854 2.6.32-642.1.1.el6.x86_64 #1 SMP Tue May 31 21:57:07 UTC 2016 x86_64
hostname: r1854
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: