<del>WOFS_3577_-2_-33_1988-11_1989-03

WOFS_3577_-2_-33_1988-11_1989-03_summary.nc

dataset of product wofs_nov_mar_summary

Indexed by adh547 5 years ago, created 5 years ago

Archived 2 years ago

for 1st November 1988

Fields 🔗

creation_time 2018-11-28 11:49:25 🔍 format NetCDF id 9195e210-4361-4e00-b108-7c6ff35634ab 🔍 instrument TM,ETM,OLI label • 🔍 lat -30.324 to -29.421 🔍 lon 129.898 to 130.957 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_nov_mar_summary time 1988-11-01 00:00:00 to 1988-11-01 00:00:00 🔍

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~~LS_WATER_3577_-2_-33_19881228004556000000_v1526619448.nc~~

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~~LS_WATER_3577_-2_-33_19890223003855000000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19890327003823500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19890122003900500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19881110004548500000_v1526619448.nc~~

~~LS_WATER_3577_-2_-33_19881221003945500000_v1526619448.nc~~

~~LS_WATER_3577_-2_-33_19890302004521500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19881119004001000000_v1526619448.nc~~

~~LS_WATER_3577_-2_-33_19890207003927500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19890122003924500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19881228004532500000_v1526619448.nc~~

~~LS_WATER_3577_-2_-33_19890106003944500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19890318004417500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19890113004543500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19881212004537000000_v1526619448.nc~~

~~LS_WATER_3577_-2_-33_19881119003937500000_v1526619448.nc~~

~~LS_WATER_3577_-2_-33_19890311003830500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19890207003903500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19881212004600500000_v1526619448.nc~~

~~LS_WATER_3577_-2_-33_19890113004519500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19881126004548500000_v1526619448.nc~~

~~LS_WATER_3577_-2_-33_19890106003920500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19890302004458000000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19881110004612000000_v1526619448.nc~~

~~LS_WATER_3577_-2_-33_19890327003759500000_v1526621102.nc~~

~~LS_WATER_3577_-2_-33_19890318004441500000_v1526621102.nc~~

~~WOFS_3577_-2_-33_1988-11_1989-03_summary.nc~~

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Nov_Mar_25_2_1/netcdf/-2_-33/WOFS_3577_-2_-33_1988-11_1989-03_summary.nc

Metadata Document 🔗

RAW As Stac

id: 9195e210-4361-4e00-b108-7c6ff35634ab

product_type: wofs_nov_mar_summary

creation_dt: 2018-11-28T11:49:25.450602

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -30.312538838673227

lon: 129.8975879097138

lr:

lat: -30.32355100083848

lon: 130.9487227791307

ul:

lat: -29.42071443737859

lon: 129.9147443721411

ur:

lat: -29.431630546042943

lon: 130.9573027387013

to_dt: 1988-11-01T00:00:00

from_dt: 1988-11-01T00:00:00

center_dt: 1988-11-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

-200000.0

-3207715.119923734

]

[

-200000.0

-3200000.0

]

[

-100000.0

-3200000.0

]

[

-100000.0

-3300000.0

]

[

-200000.0

-3300000.0

]

[

-200000.0

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]

geo_ref_points:

ll:

x: -200000.0

y: -3300000.0

lr:

x: -100000.0

y: -3300000.0

ul:

x: -200000.0

y: -3200000.0

ur:

x: -100000.0

y: -3200000.0

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: 0.9b4

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/wofs/output/prod/seasonal_stats/wet

computation:

chunking:

x: 2000

y: 2000

date_ranges:

end_date: 2018-04-01

step_size: 1y

start_date: 1986-11-01

stats_duration: 5m

input_region:

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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 r2456 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64

hostname: r2456

software_versions:

python:

version: 3.6.6 | packaged by conda-forge | (default, Oct 12 2018, 14:08:43) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]

datacube:

version: 1.6.1+72.gdfc6b47a

repo_url: https://github.com/opendatacube/datacube-core.git

source_datasets:

statistics:

step: 1y

period: 5m