WOFS_3577_4_-19_2020_summary.nc

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

Fields 🔗

creation_time 2021-02-19 05:52:29 🔍 format NetCDF id 73b29041-9385-4d2a-bfe3-9d5918b02e47 🔍 instrument TM,ETM,OLI label • 🔍 lat -17.746 to -16.811 🔍 lon 135.742 to 136.711 🔍 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_4_-19_20201012005349000000_v1608631160.nc
LS_WATER_3577_4_-19_20200926005347000000_v1608631160.nc
LS_WATER_3577_4_-19_20201214001927500000_v1608606541.nc
LS_WATER_3577_4_-19_20200520003228500000_v1591166799.nc
LS_WATER_3577_4_-19_20200512005840000000_v1591756693.nc
LS_WATER_3577_4_-19_20200207003231500000_v1584921047.nc
LS_WATER_3577_4_-19_20200325005926000000_v1587010870.nc
LS_WATER_3577_4_-19_20201027002227500000_v1608606541.nc
LS_WATER_3577_4_-19_20200909002559000000_v1608606541.nc
LS_WATER_3577_4_-19_20200427002805500000_v1591342809.nc
LS_WATER_3577_4_-19_20201121001458000000_v1608606541.nc
LS_WATER_3577_4_-19_20200731005936500000_v1599186737.nc
LS_WATER_3577_4_-19_20200222005916000000_v1584921047.nc
LS_WATER_3577_4_-19_20200105005952000000_v1584921047.nc
LS_WATER_3577_4_-19_20201222005935500000_v1609778331.nc
LS_WATER_3577_4_-19_20200504003351500000_v1591342809.nc
LS_WATER_3577_4_-19_20200723002903000000_v1597891757.nc
LS_WATER_3577_4_-19_20200317003637500000_v1586408680.nc
LS_WATER_3577_4_-19_20200129003909500000_v1584921047.nc
LS_WATER_3577_4_-19_20201004001810500000_v1608606541.nc
LS_WATER_3577_4_-19_20200309005910000000_v1584921047.nc
LS_WATER_3577_4_-19_20200206005919500000_v1584921047.nc
LS_WATER_3577_4_-19_20201020001708500000_v1608606541.nc
LS_WATER_3577_4_-19_20200723002839500000_v1597891757.nc
LS_WATER_3577_4_-19_20200621003059500000_v1594338562.nc
LS_WATER_3577_4_-19_20200214003756500000_v1584921047.nc
LS_WATER_3577_4_-19_20201003005959000000_v1608631160.nc
LS_WATER_3577_4_-19_20201215005350000000_v1608631160.nc
LS_WATER_3577_4_-19_20200310003050000000_v1586408680.nc
LS_WATER_3577_4_-19_20200605003155500000_v1591944321.nc
... 99 more
WOFS_3577_4_-19_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/4_-19/WOFS_3577_4_-19_2020_summary.nc

Metadata Document 🔗

RAW As Stac
id: 73b29041-9385-4d2a-bfe3-9d5918b02e47
product_type: wofs_annual_summary
creation_dt: 2021-02-19T05:52:29.295493
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -17.746130318808362
lon: 135.76969261021367
lr:
lat: -17.716124605153368
lon: 136.71134687160722
ul:
lat: -16.8412669214876
lon: 135.74209603238592
ur:
lat: -16.811404657822777
lon: 136.67686790720902
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: [
[
[
400000.0
-1900000.0
]
[
400000.0
-1800000.0
]
[
500000.0
-1800000.0
]
[
500000.0
-1900000.0
]
[
400000.0
-1900000.0
]
]
]
geo_ref_points:
ll:
x: 400000.0
y: -1900000.0
lr:
x: 500000.0
y: -1900000.0
ul:
x: 400000.0
y: -1800000.0
ur:
x: 500000.0
y: -1800000.0
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