WOFS_3577_6_-33_2020_summary.nc

dataset of product wofs_annual_summary
Indexed by qcp547 , created
Archived
for 1st January 2020

Fields 🔗

creation_time 2021-02-19 08:22:46 🔍 format NetCDF id 0853bd51-b14c-4948-8c74-4f4f67365259 🔍 instrument TM,ETM,OLI label • 🔍 lat -30.195 to -29.257 🔍 lon 138.251 to 139.351 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_annual_summary time 2020-01-01 00:00:00 to 2020-01-01 00:00:00 🔍

Related Datasets 🔗

LS_WATER_3577_6_-33_20200421004352000000_v1591166799.nc
LS_WATER_3577_6_-33_20200625000937500000_v1594338562.nc
LS_WATER_3577_6_-33_20200110001247500000_v1584921047.nc
LS_WATER_3577_6_-33_20200720000155500000_v1597891757.nc
LS_WATER_3577_6_-33_20201123000539500000_v1608606541.nc
LS_WATER_3577_6_-33_20200829003229000000_v1599550136.nc
LS_WATER_3577_6_-33_20201023003852000000_v1608631160.nc
LS_WATER_3577_6_-33_20200217004420500000_v1584921047.nc
LS_WATER_3577_6_-33_20200108002450500000_v1584921047.nc
LS_WATER_3577_6_-33_20200508001229000000_v1591250981.nc
LS_WATER_3577_6_-33_20200430003737000000_v1591756693.nc
LS_WATER_3577_6_-33_20201217235737500000_v1608606541.nc
LS_WATER_3577_6_-33_20201124003828000000_v1610380557.nc
LS_WATER_3577_6_-33_20201209000453000000_v1608606541.nc
LS_WATER_3577_6_-33_20201116000022000000_v1608606541.nc
LS_WATER_3577_6_-33_20200827004450000000_v1599550136.nc
LS_WATER_3577_6_-33_20201115004436000000_v1610380557.nc
LS_WATER_3577_6_-33_20200312002157500000_v1586408680.nc
LS_WATER_3577_6_-33_20200321001452500000_v1586408680.nc
LS_WATER_3577_6_-33_20200430003800500000_v1591756693.nc
LS_WATER_3577_6_-33_20200703003756000000_v1594338562.nc
LS_WATER_3577_6_-33_20200407003200000000_v1587010870.nc
LS_WATER_3577_6_-33_20200813003220500000_v1599550136.nc
LS_WATER_3577_6_-33_20200201004424000000_v1584921047.nc
LS_WATER_3577_6_-33_20201016003241500000_v1608631160.nc
LS_WATER_3577_6_-33_20200703003820000000_v1594338562.nc
LS_WATER_3577_6_-33_20200209002339500000_v1584921047.nc
LS_WATER_3577_6_-33_20201030004438000000_v1608631160.nc
LS_WATER_3577_6_-33_20200601003802000000_v1591944321.nc
LS_WATER_3577_6_-33_20200304004439000000_v1584921047.nc
... 170 more
WOFS_3577_6_-33_2020_summary.nc
ga_ls_landcover_class_cyear_2_1-0-0_au_2020-01-01

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Ann_25_2_1/netcdf/6_-33/WOFS_3577_6_-33_2020_summary.nc

Metadata Document 🔗

RAW As Stac
id: 0853bd51-b14c-4948-8c74-4f4f67365259
product_type: wofs_annual_summary
creation_dt: 2021-02-19T08:22:46.152980
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -30.195151061371682
lon: 138.30268749062495
lr:
lat: -30.147501460947165
lon: 139.3509834046743
ul:
lat: -29.304347279499147
lon: 138.2513284587783
ur:
lat: -29.257110250305992
lon: 139.29111668049504
to_dt: 2020-01-01T00:00:00
from_dt: 2020-01-01T00:00:00
center_dt: 2020-01-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
600000.0
-3201262.0114812166
]
[
600000.0
-3200000.0
]
[
700000.0
-3200000.0
]
[
700000.0
-3300000.0
]
[
600000.0
-3300000.0
]
[
600000.0
-3201262.0114812166
]
]
]
geo_ref_points:
ll:
x: 600000.0
y: -3300000.0
lr:
x: 700000.0
y: -3300000.0
ul:
x: 600000.0
y: -3200000.0
ur:
x: 700000.0
y: -3200000.0
spatial_reference: EPSG:3577
image:
bands:
count_wet:
path:
layer: count_wet
frequency:
path:
layer: frequency
count_clear:
path:
layer: count_clear
lineage:
algorithm:
name: datacube-stats
version: 1.0.2
repo_url: https://github.com/GeoscienceAustralia/datacube-stats.git
parameters:
configuration_file:
sources: [
product: wofs_albers
group_by: solar_day
fuse_func: digitalearthau.utils.wofs_fuser
mask_nodata: False
measurements: [
water
]
source_filter:
product: ls5_level1_scene
gqa_iterative_mean_xy: [
0
1
]
product: wofs_albers
group_by: solar_day
fuse_func: digitalearthau.utils.wofs_fuser
mask_nodata: False
measurements: [
water
]
source_filter:
product: ls7_level1_scene
gqa_iterative_mean_xy: [
0
1
]
product: wofs_albers
group_by: solar_day
fuse_func: digitalearthau.utils.wofs_fuser
mask_nodata: False
measurements: [
water
]
source_filter:
product: ls8_level1_scene
gqa_iterative_mean_xy: [
0
1
]
]
storage:
crs: EPSG:3577
driver: NetCDF CF
chunking:
x: 200
y: 200
time: 1
tile_size:
x: 100000.0
y: 100000.0
resolution:
x: 25
y: -25
dimension_order: [
time
y
x
]
location: ./output
computation:
chunking:
x: 4000
y: 4000
date_ranges:
end_date: 2021-01-01
step_size: 1y
start_date: 2020-01-01
stats_duration: 1y
input_region: null
filter_product:
var_attributes:
output_products: [
name: wofs_summary
metadata:
format:
name: NetCDF
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
statistic: wofs_summary
product_type: wofs_annual_summary
output_params:
zlib: True
fletcher32: True
file_path_template: annual/wofs_{x}_{y}_stats_{epoch_start:%Y%m%d}_{epoch_end:%Y%m%d}.nc
]
global_attributes:
machine:
uname: Linux gadi-cpu-clx-2924.gadi.nci.org.au 4.18.0-240.1.1.el8.nci.x86_64 #1 SMP Tue Dec 15 02:36:21 UTC 2020 x86_64
hostname: gadi-cpu-clx-2924.gadi.nci.org.au
software_versions:
python:
version: 3.6.10 | packaged by conda-forge | (default, Apr 24 2020, 16:44:11) [GCC 7.3.0]
datacube:
version: 1.8.3
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets:
statistics:
step: 1y
period: 1y