WOFS_3577_-5_-31_2016-11_2017-03_summary.nc

dataset of product wofs_nov_mar_summary
Indexed by adh547 , created
Archived
for 1st November 2016

Fields 🔗

creation_time 2018-11-28 13:36:42 🔍 format NetCDF id ecf9b726-f0b7-4908-9aea-1ec2601fb3e8 🔍 instrument TM,ETM,OLI label • 🔍 lat -28.486 to -27.563 🔍 lon 126.831 to 127.898 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_nov_mar_summary time 2016-11-01 00:00:00 to 2016-11-01 00:00:00 🔍

Related Datasets 🔗

LS_WATER_3577_-5_-31_20161122012355500000_v1526770084.nc
LS_WATER_3577_-5_-31_20170313012655500000_v1526773851.nc
LS_WATER_3577_-5_-31_20170218012119000000_v1526773851.nc
LS_WATER_3577_-5_-31_20161216012140000000_v1526770084.nc
LS_WATER_3577_-5_-31_20170101012136500000_v1526773851.nc
LS_WATER_3577_-5_-31_20170117012133000000_v1526773851.nc
LS_WATER_3577_-5_-31_20170201012934500000_v1526773851.nc
LS_WATER_3577_-5_-31_20170322012038500000_v1526773851.nc
LS_WATER_3577_-5_-31_20170329012646500000_v1526773851.nc
LS_WATER_3577_-5_-31_20170321012922500000_v1526773851.nc
LS_WATER_3577_-5_-31_20161122012331500000_v1526770084.nc
LS_WATER_3577_-5_-31_20170225012704000000_v1526773851.nc
LS_WATER_3577_-5_-31_20161207012753000000_v1526770084.nc
LS_WATER_3577_-5_-31_20161208012352500000_v1526770084.nc
LS_WATER_3577_-5_-31_20170202012126000000_v1526773851.nc
LS_WATER_3577_-5_-31_20161113012944500000_v1526770084.nc
LS_WATER_3577_-5_-31_20170124012717000000_v1526773851.nc
LS_WATER_3577_-5_-31_20161114012144000000_v1526770084.nc
LS_WATER_3577_-5_-31_20170226012303000000_v1526773851.nc
LS_WATER_3577_-5_-31_20161130012120000000_v1526770084.nc
LS_WATER_3577_-5_-31_20170109012312500000_v1526773851.nc
LS_WATER_3577_-5_-31_20170124012741000000_v1526773851.nc
LS_WATER_3577_-5_-31_20161208012328500000_v1526770084.nc
LS_WATER_3577_-5_-31_20170306012049000000_v1526773851.nc
LS_WATER_3577_-5_-31_20161113013008500000_v1526770084.nc
LS_WATER_3577_-5_-31_20161114012120000000_v1526770084.nc
LS_WATER_3577_-5_-31_20170306012113000000_v1526773851.nc
LS_WATER_3577_-5_-31_20170217012909000000_v1526773851.nc
LS_WATER_3577_-5_-31_20161106012401500000_v1526770084.nc
LS_WATER_3577_-5_-31_20170209012732500000_v1526773851.nc
... 37 more
WOFS_3577_-5_-31_2016-11_2017-03_summary.nc

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Nov_Mar_25_2_1/netcdf/-5_-31/WOFS_3577_-5_-31_2016-11_2017-03_summary.nc

Metadata Document 🔗

RAW As Stac
id: ecf9b726-f0b7-4908-9aea-1ec2601fb3e8
product_type: wofs_nov_mar_summary
creation_dt: 2018-11-28T13:36:42.385131
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -28.45353868904758
lon: 126.83142766987895
lr:
lat: -28.485992186316167
lon: 127.86432999137642
ul:
lat: -27.562881057260306
lon: 126.87289037372913
ur:
lat: -27.595072666669875
lon: 127.89751954367856
to_dt: 2016-11-01T00:00:00
from_dt: 2016-11-01T00:00:00
center_dt: 2016-11-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-500000.0
-3048853.3555198824
]
[
-500000.0
-3000000.0
]
[
-400000.0
-3000000.0
]
[
-400000.0
-3100000.0
]
[
-500000.0
-3100000.0
]
[
-500000.0
-3048853.3555198824
]
]
]
geo_ref_points:
ll:
x: -500000.0
y: -3100000.0
lr:
x: -400000.0
y: -3100000.0
ul:
x: -500000.0
y: -3000000.0
ur:
x: -400000.0
y: -3000000.0
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: 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
y
x
]
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:
tiles:
[ [91 items...]
[
-2
-29
] ,
[
-2
-28
] ,
[
-2
-27
] ,
[
-2
-26
] ,
[
-2
-25
] ,
[
-2
-24
] ,
[
-2
-23
] ,
[
-2
-22
] ,
[
-2
-21
] ,
[
-2
-20
] ,
[
-2
-19
] ,
[
-2
-18
] ,
[
-2
-17
] ,
[
-2
-16
] ,
[
-2
-15
] ,
[
-2
-14
] ,
[
-2
-13
] ,
[
-2
-12
] ,
[
-2
-11
] ,
[
-2
-10
] ,
[
-3
-38
] ,
[
-3
-37
] ,
[
-3
-36
] ,
[
-3
-35
] ,
[
-3
-34
] ,
[
-3
-33
] ,
[
-3
-32
] ,
[
-3
-31
] ,
[
-3
-30
] ,
[
-3
-29
] ,
[
-3
-28
] ,
[
-3
-27
] ,
[
-3
-26
] ,
[
-3
-25
] ,
[
-3
-24
] ,
[
-3
-23
] ,
[
-3
-22
] ,
[
-3
-21
] ,
[
-3
-20
] ,
[
-3
-19
] ,
[
-3
-18
] ,
[
-3
-17
] ,
[
-3
-16
] ,
[
-3
-15
] ,
[
-3
-14
] ,
[
-3
-13
] ,
[
-3
-12
] ,
[
-3
-11
] ,
[
-3
-10
] ,
[
-4
-38
] ,
[
-4
-37
] ,
[
-4
-36
] ,
[
-4
-35
] ,
[
-4
-34
] ,
[
-4
-33
] ,
[
-4
-32
] ,
[
-4
-31
] ,
[
-4
-30
] ,
[
-4
-29
] ,
[
-4
-28
] ,
[
-4
-27
] ,
[
-4
-26
] ,
[
-4
-25
] ,
[
-4
-24
] ,
[
-4
-23
] ,
[
-4
-22
] ,
[
-4
-21
] ,
[
-4
-20
] ,
[
-4
-19
] ,
[
-4
-18
] ,
[
-4
-17
] ,
[
-4
-16
] ,
[
-4
-15
] ,
[
-4
-14
] ,
[
-4
-13
] ,
[
-4
-12
] ,
[
-4
-11
] ,
[
-4
-10
] ,
[
-5
-38
] ,
[
-5
-37
] ,
[
-5
-36
] ,
[
-5
-35
] ,
[
-5
-34
] ,
[
-5
-33
] ,
[
-5
-32
] ,
[
-5
-31
] ,
[
-5
-30
] ,
[
-5
-29
] ,
[
-5
-28
] ,
[
-5
-27
] ,
[
-5
-26
] ,
]
filter_product:
var_attributes:
output_products: [
name: wofs_nov_mar_summary
metadata:
format:
name: NetCDF
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
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 r2813 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r2813
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