WOFS_3577_2_-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 06:47:22 🔍 format NetCDF id 851dff79-d535-4591-947d-dac45624317b 🔍 instrument TM,ETM,OLI label • 🔍 lat -30.313 to -29.403 🔍 lon 134.085 to 135.153 🔍 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_2_-33_20201231005722000000_v1610122343.nc
LS_WATER_3577_2_-33_20200919005046000000_v1608631160.nc
LS_WATER_3577_2_-33_20200825005710500000_v1599550136.nc
LS_WATER_3577_2_-33_20201224005049000000_v1609778331.nc
LS_WATER_3577_2_-33_20200513003019000000_v1591342809.nc
LS_WATER_3577_2_-33_20201122005113000000_v1608631160.nc
LS_WATER_3577_2_-33_20201028005700000000_v1608631160.nc
LS_WATER_3577_2_-33_20200131002953500000_v1584921047.nc
LS_WATER_3577_2_-33_20200427003141500000_v1591335231.nc
LS_WATER_3577_2_-33_20200716002653500000_v1595473574.nc
LS_WATER_3577_2_-33_20201021005050000000_v1608631160.nc
LS_WATER_3577_2_-33_20200725001945500000_v1597891757.nc
LS_WATER_3577_2_-33_20201013001500500000_v1608606541.nc
LS_WATER_3577_2_-33_20201021005114000000_v1608631160.nc
LS_WATER_3577_2_-33_20200926005658000000_v1608631160.nc
LS_WATER_3577_2_-33_20200223003517000000_v1584921047.nc
LS_WATER_3577_2_-33_20200606005638000000_v1591944321.nc
LS_WATER_3577_2_-33_20201223001546500000_v1609517353.nc
LS_WATER_3577_2_-33_20200428004959500000_v1591166799.nc
LS_WATER_3577_2_-33_20200809005703000000_v1599550136.nc
LS_WATER_3577_2_-33_20201208005051000000_v1608631160.nc
LS_WATER_3577_2_-33_20200825005646500000_v1599550136.nc
LS_WATER_3577_2_-33_20200522002334500000_v1591342809.nc
LS_WATER_3577_2_-33_20200106003742500000_v1584921047.nc
LS_WATER_3577_2_-33_20201215005725000000_v1608631160.nc
LS_WATER_3577_2_-33_20201215005701500000_v1608631160.nc
LS_WATER_3577_2_-33_20200724005659500000_v1599186737.nc
LS_WATER_3577_2_-33_20200215005706500000_v1584921047.nc
LS_WATER_3577_2_-33_20200911001704500000_v1608606541.nc
LS_WATER_3577_2_-33_20200411003237500000_v1591250981.nc
... 135 more
WOFS_3577_2_-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/2_-33/WOFS_3577_2_-33_2020_summary.nc

Metadata Document 🔗

RAW As Stac
id: 851dff79-d535-4591-947d-dac45624317b
product_type: wofs_annual_summary
creation_dt: 2021-02-19T06:47:22.138797
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -30.312538838673234
lon: 134.1024120902862
lr:
lat: -30.294187929213646
lon: 135.15326237241766
ul:
lat: -29.420714437378596
lon: 134.08525562785888
ur:
lat: -29.402523475645953
lon: 135.12753631592074
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: [
[
[
200000.0
-3206308.28571309
]
[
200000.0
-3200000.0
]
[
300000.0
-3200000.0
]
[
300000.0
-3300000.0
]
[
200000.0
-3300000.0
]
[
200000.0
-3206308.28571309
]
]
]
geo_ref_points:
ll:
x: 200000.0
y: -3300000.0
lr:
x: 300000.0
y: -3300000.0
ul:
x: 200000.0
y: -3200000.0
ur:
x: 300000.0
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