WOFS_3577_7_-22_2020_summary.nc

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

Fields 🔗

creation_time 2021-02-19 07:06:16 🔍 format NetCDF id 565ec5d8-90ae-47fc-a0f7-ce9bcccbdbb2 🔍 instrument TM,ETM,OLI label • 🔍 lat -20.336 to -19.388 🔍 lon 138.692 to 139.703 🔍 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_7_-22_20200818004744500000_v1599550136.nc
LS_WATER_3577_7_-22_20200507004055500000_v1591756693.nc
LS_WATER_3577_7_-22_20200709001821000000_v1595473574.nc
LS_WATER_3577_7_-22_20201130000832500000_v1608606541.nc
LS_WATER_3577_7_-22_20200506002210500000_v1591250981.nc
LS_WATER_3577_7_-22_20200209002027500000_v1584921047.nc
LS_WATER_3577_7_-22_20201216000744500000_v1608606541.nc
LS_WATER_3577_7_-22_20200919004758000000_v1608631160.nc
LS_WATER_3577_7_-22_20200327004727000000_v1587010870.nc
LS_WATER_3577_7_-22_20200531001428000000_v1591944321.nc
LS_WATER_3577_7_-22_20200216002640500000_v1584921047.nc
LS_WATER_3577_7_-22_20201021004826000000_v1608631160.nc
LS_WATER_3577_7_-22_20200123004814500000_v1584921047.nc
LS_WATER_3577_7_-22_20200928004213500000_v1608631160.nc
LS_WATER_3577_7_-22_20201216000720500000_v1608606541.nc
LS_WATER_3577_7_-22_20200725001722000000_v1597891757.nc
LS_WATER_3577_7_-22_20200405004111000000_v1587010870.nc
LS_WATER_3577_7_-22_20201107000358500000_v1608606541.nc
LS_WATER_3577_7_-22_20200811004154000000_v1599550136.nc
LS_WATER_3577_7_-22_20201022000527000000_v1608606541.nc
LS_WATER_3577_7_-22_20200819000912500000_v1599186737.nc
LS_WATER_3577_7_-22_20200108002203000000_v1584921047.nc
LS_WATER_3577_7_-22_20200702001235500000_v1594338562.nc
LS_WATER_3577_7_-22_20201021004802000000_v1608631160.nc
LS_WATER_3577_7_-22_20201022000503000000_v1608606541.nc
LS_WATER_3577_7_-22_20200217004133000000_v1584921047.nc
LS_WATER_3577_7_-22_20200607001950500000_v1593487300.nc
LS_WATER_3577_7_-22_20201225000029500000_v1609517353.nc
LS_WATER_3577_7_-22_20200803001013500000_v1597891757.nc
LS_WATER_3577_7_-22_20201115004148000000_v1610380557.nc
... 135 more
WOFS_3577_7_-22_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/7_-22/WOFS_3577_7_-22_2020_summary.nc

Metadata Document 🔗

RAW As Stac
id: 565ec5d8-90ae-47fc-a0f7-ce9bcccbdbb2
product_type: wofs_annual_summary
creation_dt: 2021-02-19T07:06:16.245539
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -20.336409586607815
lon: 138.74199584407796
lr:
lat: -20.285636442865496
lon: 139.70295081702437
ul:
lat: -19.438253362319397
lon: 138.69159481902432
ur:
lat: -19.387760110216643
lon: 139.64539830020266
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: [
[
[
700000.0
-2101738.007803971
]
[
700000.0
-2100000.0
]
[
800000.0
-2100000.0
]
[
800000.0
-2200000.0
]
[
700000.0
-2200000.0
]
[
700000.0
-2101738.007803971
]
]
]
geo_ref_points:
ll:
x: 700000.0
y: -2200000.0
lr:
x: 800000.0
y: -2200000.0
ul:
x: 700000.0
y: -2100000.0
ur:
x: 800000.0
y: -2100000.0
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