WOFS_3577_15_-19_2019-04_2019-10_summary.nc

dataset of product wofs_apr_oct_summary
Indexed by dra547 , created
Archived
for 1st April 2019

Fields 🔗

creation_time 2020-06-22 06:28:13 🔍 format NetCDF id 5e1a8fda-847d-4b5a-bf3d-febbc4d392ec 🔍 instrument TM,ETM,OLI label • 🔍 lat -17.051 to -16.046 🔍 lon 145.981 to 147.014 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_apr_oct_summary time 2019-04-01 00:00:00 to 2019-04-01 00:00:00 🔍

Related Datasets 🔗

LS_WATER_3577_15_-19_20190712001556500000_v1584672374.nc
LS_WATER_3577_15_-19_20190407001555000000_v1556505761.nc
LS_WATER_3577_15_-19_20190914001616000000_v1569453213.nc
LS_WATER_3577_15_-19_20190829001612000000_v1568610626.nc
LS_WATER_3577_15_-19_20190922000158500000_v1571531953.nc
LS_WATER_3577_15_-19_20190711001049500000_v1563948182.nc
LS_WATER_3577_15_-19_20190804002215000000_v1566466574.nc
LS_WATER_3577_15_-19_20190821000322500000_v1568610626.nc
LS_WATER_3577_15_-19_20190727001011000000_v1565000316.nc
LS_WATER_3577_15_-19_20191007002233500000_v1573709072.nc
LS_WATER_3577_15_-19_20191023002235000000_v1573709072.nc
LS_WATER_3577_15_-19_20190828000851500000_v1568610626.nc
LS_WATER_3577_15_-19_20190423001548000000_v1557796663.nc
LS_WATER_3577_15_-19_20190906000241000000_v1569453213.nc
LS_WATER_3577_15_-19_20190524001235000000_v1560397152.nc
LS_WATER_3577_15_-19_20190525001540000000_v1560395186.nc
LS_WATER_3577_15_-19_20190601002155000000_v1560395186.nc
LS_WATER_3577_15_-19_20190516002146000000_v1584672374.nc
LS_WATER_3577_15_-19_20190509001554000000_v1559178892.nc
LS_WATER_3577_15_-19_20190617002201000000_v1561031451.nc
LS_WATER_3577_15_-19_20190415000817500000_v1556505761.nc
LS_WATER_3577_15_-19_20190913000809500000_v1569453213.nc
LS_WATER_3577_15_-19_20190929000727500000_v1571531953.nc
LS_WATER_3577_15_-19_20190712001620500000_v1563948182.nc
LS_WATER_3577_15_-19_20191008000118500000_v1573709072.nc
LS_WATER_3577_15_-19_20190813001631500000_v1566466574.nc
LS_WATER_3577_15_-19_20190728001625500000_v1584672374.nc
LS_WATER_3577_15_-19_20190626001617000000_v1562546194.nc
LS_WATER_3577_15_-19_20190508001312500000_v1559178892.nc
LS_WATER_3577_15_-19_20190626001553000000_v1584672374.nc
... 30 more
WOFS_3577_15_-19_2019-04_2019-10_summary.nc

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/15_-19/WOFS_3577_15_-19_2019-04_2019-10_summary.nc

Metadata Document 🔗

RAW As Stac
id: 5e1a8fda-847d-4b5a-bf3d-febbc4d392ec
product_type: wofs_apr_oct_summary
creation_dt: 2020-06-22T06:28:13.168954
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -17.050575513950115
lon: 146.08312807118938
lr:
lat: -16.94762455868534
lon: 147.0136485360093
ul:
lat: -16.14896390856297
lon: 145.98079590147196
ur:
lat: -16.046481292349895
lon: 146.90467461987615
to_dt: 2019-04-01T00:00:00
from_dt: 2019-04-01T00:00:00
center_dt: 2019-04-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1500000.0
-1813183.6126917345
]
[
1500000.0
-1800000.0
]
[
1600000.0
-1800000.0
]
[
1600000.0
-1900000.0
]
[
1500000.0
-1900000.0
]
[
1500000.0
-1813183.6126917345
]
]
]
geo_ref_points:
ll:
x: 1500000.0
y: -1900000.0
lr:
x: 1600000.0
y: -1900000.0
ul:
x: 1500000.0
y: -1800000.0
ur:
x: 1600000.0
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
]
]
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/seasonal_apr_oct
computation:
chunking:
x: 2000
y: 2000
date_ranges:
end_date: 2019-11-01
step_size: 1y
start_date: 2019-04-01
stats_duration: 7m
input_region:
tiles: [
[
15
-19
]
]
filter_product:
var_attributes:
output_products: [
name: wofs_apr_oct_summary
metadata:
format:
name: NetCDF
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
statistic: wofs_summary
product_type: wofs_apr_oct_summary
output_params:
zlib: True
fletcher32: True
file_path_template: WOFS_3577_{x}_{y}_{epoch_start:%Y-%m}_{epoch_end:%Y-%m}_summary.nc
]
global_attributes:
title: Water Observations from Space April to October Statistics
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-2156.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-2156.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.dev24+gb5cd1dd0
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets:
statistics:
step: 1y
period: 7m