<del>WOFS_3577_19_-15_2019-04_2019-10

WOFS_3577_19_-15_2019-04_2019-10_summary.nc

dataset of product wofs_apr_oct_summary

Indexed by dra547 3 years ago, created 3 years ago

Archived 2 years ago

for 1st April 2019

Fields 🔗

creation_time 2020-06-22 08:45:16 🔍 format NetCDF id 321267c2-21dc-4429-b71e-86ebf24dab18 🔍 instrument TM,ETM,OLI label • 🔍 lat -12.498 to -11.946 🔍 lon 149.679 to 150.131 🔍 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_19_-15_20190916000257178530_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190511000212056238_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190831000252178553_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190409000157000000_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190527000221935546_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190511000158000000_v1559178892.nc~~

~~LS_WATER_3577_19_-15_20191002000248000000_v1573709072.nc~~

~~LS_WATER_3577_19_-15_20190916000244000000_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190628000220000000_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190714000237048500_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190730000242929322_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190815000248930715_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20191018000304174092_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190612000215000000_v1561031451.nc~~

~~LS_WATER_3577_19_-15_20190425000203934151_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190612000228932211_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190815000235000000_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190409000210930524_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190628000234050409_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20191002000302054052_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190831000238500000_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190527000208000000_v1560395186.nc~~

~~LS_WATER_3577_19_-15_20190730000229000000_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20191018000250500000_v1573709072.nc~~

~~LS_WATER_3577_19_-15_20190714000223000000_v1584672374.nc~~

~~LS_WATER_3577_19_-15_20190425000150000000_v1557796663.nc~~

~~WOFS_3577_19_-15_2019-04_2019-10_summary.nc~~

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/19_-15/WOFS_3577_19_-15_2019-04_2019-10_summary.nc

Metadata Document 🔗

RAW As Stac

id: 321267c2-21dc-4429-b71e-86ebf24dab18

product_type: wofs_apr_oct_summary

creation_dt: 2020-06-22T08:45:16.719476

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -12.497718032580433

lon: 149.74716284217573

lr:

lat: -12.442459962204008

lon: 150.13112743433825

ul:

lat: -12.000848495500415

lon: 149.679238851854

ur:

lat: -11.94569146362666

lon: 150.0617729096682

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: [

[

2000000.0

-1454447.0210204523

]

[

2000000.0

-1454476.1844103073

]

[

1957096.8458642515

-1438806.7465181556

]

[

1957090.004087077

-1438727.1800188113

]

[

1957661.687984203

-1437213.8837389997

]

[

1957553.661374249

-1437174.4301493566

]

[

1957512.635499511

-1437134.4952295786

]

[

1957568.640381963

-1436939.5692267616

]

[

1967720.3526397785

-1410220.8384360545

]

[

1967934.8909486255

-1409658.7528475372

]

[

1967960.7362248779

-1409632.9040219716

]

[

1971627.9650899274

-1400000.0

]

[

2000000.0

-1400000.0

]

[

2000000.0

-1454447.0210204523

]

geo_ref_points:

ll:

x: 1900000.0

y: -1500000.0

lr:

x: 2000000.0

y: -1500000.0

ul:

x: 1900000.0

y: -1400000.0

ur:

x: 2000000.0

y: -1400000.0

spatial_reference: EPSG:3577

image:

bands:

count_wet:

path:

layer: count_wet

frequency:

path:

layer: frequency

count_clear:

path:

layer: count_clear

lineage:

algorithm:

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

]

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

]

filter_product:

var_attributes:

output_products: [

metadata:

format:

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

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