<del>WOFS_3577_14_-44_2019-11_2020-03

WOFS_3577_14_-44_2019-11_2020-03_summary.nc

dataset of product wofs_nov_mar_summary

Indexed by dra547 3 years ago, created 3 years ago

Archived 2 years ago

for 1st November 2019

Fields 🔗

creation_time 2020-06-22 06:18:34 🔍 format NetCDF id e45abf12-b7f0-4e21-ae34-4e914a499f42 🔍 instrument TM,ETM,OLI label • 🔍 lat -39.43 to -38.41 🔍 lon 147.955 to 149.234 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_nov_mar_summary time 2019-11-01 00:00:00 to 2019-11-01 00:00:00 🔍

Related Datasets 🔗

~~LS_WATER_3577_14_-44_20191222235732000000_v1584672374.nc~~

~~LS_WATER_3577_14_-44_20200224235739500000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20200304235125500000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20200201235134000000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20191206235759000000_v1576774931.nc~~

~~LS_WATER_3577_14_-44_20200313234510500000_v1586224978.nc~~

~~LS_WATER_3577_14_-44_20191215235211000000_v1584672374.nc~~

~~LS_WATER_3577_14_-44_20200329234525500000_v1587010870.nc~~

~~LS_WATER_3577_14_-44_20191122234601500000_v1584672374.nc~~

~~LS_WATER_3577_14_-44_20200123235724000000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20191129235148500000_v1584672374.nc~~

~~LS_WATER_3577_14_-44_20200116235203000000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20191231235206500000_v1584672374.nc~~

~~LS_WATER_3577_14_-44_20200320235118000000_v1586224978.nc~~

~~LS_WATER_3577_14_-44_20191224234534000000_v1584672374.nc~~

~~LS_WATER_3577_14_-44_20200320235142000000_v1586224978.nc~~

~~LS_WATER_3577_14_-44_20191120235759000000_v1576560117.nc~~

~~LS_WATER_3577_14_-44_20191106234605000000_v1584672374.nc~~

~~LS_WATER_3577_14_-44_20200125234550000000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20200123235748000000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20191215235147000000_v1584672374.nc~~

~~LS_WATER_3577_14_-44_20200210234545000000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20200226234517000000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20200217235154500000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20200216233611500000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20191224234558000000_v1584672374.nc~~

~~LS_WATER_3577_14_-44_20200125234526000000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20200208235719000000_v1584921047.nc~~

~~LS_WATER_3577_14_-44_20191104235739000000_v1574118304.nc~~

~~LS_WATER_3577_14_-44_20191206235735000000_v1576774931.nc~~

... 31 more

~~WOFS_3577_14_-44_2019-11_2020-03_summary.nc~~

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Nov_Mar_25_2_1/netcdf/14_-44/WOFS_3577_14_-44_2019-11_2020-03_summary.nc

Metadata Document 🔗

RAW As Stac

id: e45abf12-b7f0-4e21-ae34-4e914a499f42

product_type: wofs_nov_mar_summary

creation_dt: 2020-06-22T06:18:34.067006

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -39.43006121222731

lon: 148.09735545127276

lr:

lat: -39.31142766052643

lon: 149.233723483201

ul:

lat: -38.526688127223274

lon: 147.95451524670503

ur:

lat: -38.40952994919466

lon: 149.08103404595747

to_dt: 2019-11-01T00:00:00

from_dt: 2019-11-01T00:00:00

center_dt: 2019-11-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

1400000.0

-4373889.550515473

]

[

1400000.0

-4300000.0

]

[

1500000.0

-4300000.0

]

[

1500000.0

-4400000.0

]

[

1400000.0

-4400000.0

]

[

1400000.0

-4373889.550515473

]

geo_ref_points:

ll:

x: 1400000.0

y: -4400000.0

lr:

x: 1500000.0

y: -4400000.0

ul:

x: 1400000.0

y: -4300000.0

ur:

x: 1500000.0

y: -4300000.0

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_nov_mar

computation:

chunking:

x: 2000

y: 2000

date_ranges:

end_date: 2020-04-01

step_size: 1y

start_date: 2018-11-01

stats_duration: 5m

input_region:

tiles: [

[

-44

]

filter_product:

var_attributes:

output_products: [

metadata:

format:

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

statistic: wofs_summary

product_type: wofs_nov_mar_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 November to March 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-0540.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-0540.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: 5m