WOFS_3577_6_-32_2019_summary.nc

dataset of product wofs_annual_summary
Indexed by dra547 , created
Archived
for 1st January 2019

Fields 🔗

creation_time 2020-06-03 05:49:05 🔍 format NetCDF id 8cab41b3-e085-40ff-b947-96f51c12c247 🔍 instrument TM,ETM,OLI label • 🔍 lat -29.304 to -28.367 🔍 lon 138.201 to 139.291 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_annual_summary time 2019-01-01 00:00:00 to 2019-01-01 00:00:00 🔍

Related Datasets 🔗

LS_WATER_3577_6_-32_20191121002716500000_v1576560117.nc
LS_WATER_3577_6_-32_20191215004437000000_v1584672374.nc
LS_WATER_3577_6_-32_20191223002541000000_v1584672374.nc
LS_WATER_3577_6_-32_20190614003358500000_v1561031451.nc
LS_WATER_3577_6_-32_20190521004333000000_v1560395186.nc
LS_WATER_3577_6_-32_20190903003820500000_v1569453213.nc
LS_WATER_3577_6_-32_20190809004425000000_v1566466574.nc
LS_WATER_3577_6_-32_20190318004330000000_v1554178942.nc
LS_WATER_3577_6_-32_20191231004408500000_v1584672374.nc
LS_WATER_3577_6_-32_20190129004342000000_v1550128361.nc
LS_WATER_3577_6_-32_20190910004433500000_v1569453213.nc
LS_WATER_3577_6_-32_20190412003737000000_v1556505761.nc
LS_WATER_3577_6_-32_20190506002914000000_v1559178892.nc
LS_WATER_3577_6_-32_20190214004404000000_v1551906542.nc
LS_WATER_3577_6_-32_20191129004438000000_v1576774931.nc
LS_WATER_3577_6_-32_20191028004443000000_v1574118304.nc
LS_WATER_3577_6_-32_20190911002411500000_v1569453213.nc
LS_WATER_3577_6_-32_20190809004401000000_v1566466574.nc
LS_WATER_3577_6_-32_20190606004405000000_v1561031451.nc
LS_WATER_3577_6_-32_20191012004442000000_v1573709072.nc
LS_WATER_3577_6_-32_20190623002727500000_v1562546194.nc
LS_WATER_3577_6_-32_20191231004432500000_v1584672374.nc
LS_WATER_3577_6_-32_20190215003158500000_v1551906542.nc
LS_WATER_3577_6_-32_20190130003226000000_v1550128361.nc
LS_WATER_3577_6_-32_20190106003800000000_v1548976311.nc
LS_WATER_3577_6_-32_20191113004440000000_v1576560117.nc
LS_WATER_3577_6_-32_20190716003245500000_v1563948182.nc
LS_WATER_3577_6_-32_20190327003742000000_v1554776503.nc
LS_WATER_3577_6_-32_20190817003127500000_v1568610626.nc
LS_WATER_3577_6_-32_20190121003855000000_v1550128361.nc
... 81 more
WOFS_3577_6_-32_2019_summary.nc
ga_ls_landcover_class_cyear_2_1-0-0_au_2019-01-01

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Ann_25_2_1/netcdf/6_-32/WOFS_3577_6_-32_2019_summary.nc

Metadata Document 🔗

RAW As Stac
id: 8cab41b3-e085-40ff-b947-96f51c12c247
product_type: wofs_annual_summary
creation_dt: 2020-06-03T05:49:05.794732
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -29.304347279499147
lon: 138.2513284587783
lr:
lat: -29.257110250305992
lon: 139.29111668049504
ul:
lat: -28.413886545105463
lon: 138.20079903322036
ur:
lat: -28.367043654395772
lon: 139.23221615997048
to_dt: 2019-01-01T00:00:00
from_dt: 2019-01-01T00:00:00
center_dt: 2019-01-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
600000.0
-3100034.3728092965
]
[
600000.0
-3100000.0
]
[
700000.0
-3100000.0
]
[
700000.0
-3200000.0
]
[
600000.0
-3200000.0
]
[
600000.0
-3100034.3728092965
]
]
]
geo_ref_points:
ll:
x: 600000.0
y: -3200000.0
lr:
x: 700000.0
y: -3200000.0
ul:
x: 600000.0
y: -3100000.0
ur:
x: 700000.0
y: -3100000.0
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
]
]
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: /g/data/u46/users/bt2744/work/data/prod/wofs/annual
computation:
chunking:
x: 2000
y: 2000
date_ranges:
end_date: 2020-01-01
step_size: 1y
start_date: 2019-01-01
stats_duration: 1y
input_region:
tiles: [
[
6
-32
]
]
filter_product:
var_attributes:
output_products: [
name: wofs_annual_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: WOFS_3577_{x}_{y}_{epoch_start:%Y}_summary.nc
]
global_attributes:
title: Water Observations from Space Annual Statistics 2.1.5
cmi_id: WO-STATS_25_2.1.5
source: Water Observations from Space Detection Algorithm v1.5
license: CC BY Attribution 4.0 International License
summary: WOfS-STATS (WO_STATS_2.1.5) is a set of statistical summaries of the water observations contained in WOfS (WO_2.1.5). The layers available are: the count of clear observations; the count of wet observations; the percentage of wet observations over time.
keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,ETM+,TM,OLI,EARTH SCIENCE,SURFACE WATER,FLOOD
references: N. Mueller, A. Lewis, D. Roberts, S. Ring, R. Melrose, J. Sixsmith, L. Lymburner, A. McIntyre, P. Tan, S. Curnow, A. Ip, Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia, Remote Sensing of Environment, Volume 174, 1 March 2016, Pages 341-352, ISSN 0034-4257, http://dx.doi.org/10.1016/j.rse.2015.11.003. (http://www.sciencedirect.com/science/article/pii/S0034425715301929)
institution: Commonwealth of Australia (Geoscience Australia)
cdm_data_type: Grid
product_suite: Water Observations from Space Statistics 25m
publisher_url: http://www.ga.gov.au
publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia
product_version: 2.1.5
publisher_email: earth.observation@ga.gov.au
keywords_vocabulary: GCMD
machine:
uname: Linux gadi-cpu-clx-1465.gadi.nci.org.au 4.18.0-147.5.1.el8.nci.x86_64 #1 SMP Tue Mar 17 06:23:28 UTC 2020 x86_64
hostname: gadi-cpu-clx-1465.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: 1.8.1.dev22+gc2c25d3d
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets:
statistics:
step: 1y
period: 1y