WOFS_3577_14_-41_2016-04_2016-10_summary.nc

dataset of product wofs_apr_oct_summary
Indexed by adh547 , created
Archived
for 1st April 2016

Fields 🔗

creation_time 2018-11-23 04:32:58 🔍 format NetCDF id f07fed45-1924-4d78-9348-4a245d0eb1e1 🔍 instrument TM,ETM,OLI label • 🔍 lat -36.729 to -35.72 🔍 lon 147.541 to 148.784 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_apr_oct_summary time 2016-04-01 00:00:00 to 2016-04-01 00:00:00 🔍

Related Datasets 🔗

LS_WATER_3577_14_-41_20161003000001500000_v1526770084.nc
LS_WATER_3577_14_-41_20161010235735000000_v1526770084.nc
LS_WATER_3577_14_-41_20161011235326500000_v1526770084.nc
LS_WATER_3577_14_-41_20160731235106500000_v1526770084.nc
LS_WATER_3577_14_-41_20160823235724000000_v1526770084.nc
LS_WATER_3577_14_-41_20160417235626000000_v1526770084.nc
LS_WATER_3577_14_-41_20160714235949500000_v1526770084.nc
LS_WATER_3577_14_-41_20160410235042000000_v1526770084.nc
LS_WATER_3577_14_-41_20160831235933500000_v1526770084.nc
LS_WATER_3577_14_-41_20160426235014000000_v1526770084.nc
LS_WATER_3577_14_-41_20161026235713000000_v1526770084.nc
LS_WATER_3577_14_-41_20161010235711000000_v1526770084.nc
LS_WATER_3577_14_-41_20160815235929500000_v1526770084.nc
LS_WATER_3577_14_-41_20160528235020000000_v1526770084.nc
LS_WATER_3577_14_-41_20161019235102000000_v1526770084.nc
LS_WATER_3577_14_-41_20160925235326000000_v1526770084.nc
LS_WATER_3577_14_-41_20160512235037000000_v1526770084.nc
LS_WATER_3577_14_-41_20160714235925500000_v1526770084.nc
LS_WATER_3577_14_-41_20160621235339000000_v1526770084.nc
LS_WATER_3577_14_-41_20160916235935000000_v1526770084.nc
LS_WATER_3577_14_-41_20160409235902000000_v1526770084.nc
LS_WATER_3577_14_-41_20161027235322500000_v1526770084.nc
LS_WATER_3577_14_-41_20160722235652000000_v1526770084.nc
LS_WATER_3577_14_-41_20160731235042500000_v1526770084.nc
LS_WATER_3577_14_-41_20160401235631000000_v1526770084.nc
LS_WATER_3577_14_-41_20160527235920500000_v1526770084.nc
LS_WATER_3577_14_-41_20160613235023000000_v1526770084.nc
LS_WATER_3577_14_-41_20160807235718000000_v1526770084.nc
LS_WATER_3577_14_-41_20160512235013000000_v1526770084.nc
LS_WATER_3577_14_-41_20160925235350000000_v1526770084.nc
... 43 more
WOFS_3577_14_-41_2016-04_2016-10_summary.nc

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/14_-41/WOFS_3577_14_-41_2016-04_2016-10_summary.nc

Metadata Document 🔗

RAW As Stac
id: f07fed45-1924-4d78-9348-4a245d0eb1e1
product_type: wofs_apr_oct_summary
creation_dt: 2018-11-23T04:32:58.430243
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -36.72870433407535
lon: 147.67626965057613
lr:
lat: -36.614292227775124
lon: 148.783584798922
ul:
lat: -35.83345182326026
lon: 147.54073701225525
ur:
lat: -35.72031832673588
lon: 148.63868967606328
to_dt: 2016-04-01T00:00:00
from_dt: 2016-04-01T00:00:00
center_dt: 2016-04-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1400000.0
-4065178.622780976
]
[
1400000.0
-4000000.0
]
[
1500000.0
-4000000.0
]
[
1500000.0
-4100000.0
]
[
1400000.0
-4100000.0
]
[
1400000.0
-4065178.622780976
]
]
]
geo_ref_points:
ll:
x: 1400000.0
y: -4100000.0
lr:
x: 1500000.0
y: -4100000.0
ul:
x: 1400000.0
y: -4000000.0
ur:
x: 1500000.0
y: -4000000.0
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/dry
computation:
chunking:
x: 2000
y: 2000
date_ranges:
end_date: 2018-11-01
step_size: 1y
start_date: 1986-04-01
stats_duration: 7m
input_region:
tiles:
[ [181 items...]
[
13
-34
] ,
[
13
-35
] ,
[
13
-36
] ,
[
13
-37
] ,
[
13
-38
] ,
[
13
-39
] ,
[
13
-40
] ,
[
13
-41
] ,
[
13
-42
] ,
[
13
-43
] ,
[
13
-44
] ,
[
13
-45
] ,
[
13
-46
] ,
[
13
-47
] ,
[
13
-48
] ,
[
13
-49
] ,
[
13
-50
] ,
[
14
-11
] ,
[
14
-12
] ,
[
14
-13
] ,
[
14
-14
] ,
[
14
-15
] ,
[
14
-16
] ,
[
14
-17
] ,
[
14
-18
] ,
[
14
-19
] ,
[
14
-20
] ,
[
14
-21
] ,
[
14
-22
] ,
[
14
-23
] ,
[
14
-24
] ,
[
14
-25
] ,
[
14
-26
] ,
[
14
-27
] ,
[
14
-28
] ,
[
14
-29
] ,
[
14
-30
] ,
[
14
-31
] ,
[
14
-32
] ,
[
14
-33
] ,
[
14
-34
] ,
[
14
-35
] ,
[
14
-36
] ,
[
14
-37
] ,
[
14
-38
] ,
[
14
-39
] ,
[
14
-40
] ,
[
14
-41
] ,
[
14
-42
] ,
[
14
-43
] ,
[
14
-44
] ,
[
14
-45
] ,
[
14
-46
] ,
[
14
-47
] ,
[
14
-48
] ,
[
14
-49
] ,
[
14
-50
] ,
[
15
-11
] ,
[
15
-12
] ,
[
15
-13
] ,
[
15
-14
] ,
[
15
-15
] ,
[
15
-16
] ,
[
15
-17
] ,
[
15
-18
] ,
[
15
-19
] ,
[
15
-20
] ,
[
15
-21
] ,
[
15
-22
] ,
[
15
-23
] ,
[
15
-24
] ,
[
15
-25
] ,
[
15
-26
] ,
[
15
-27
] ,
[
15
-28
] ,
[
15
-29
] ,
[
15
-30
] ,
[
15
-31
] ,
[
15
-32
] ,
[
15
-33
] ,
[
15
-34
] ,
[
15
-35
] ,
[
15
-36
] ,
[
15
-37
] ,
[
15
-38
] ,
[
15
-39
] ,
[
15
-40
] ,
[
15
-41
] ,
[
15
-42
] ,
[
15
-43
] ,
[
15
-44
] ,
[
15
-45
] ,
[
15
-46
] ,
[
15
-47
] ,
[
15
-48
] ,
[
15
-49
] ,
[
16
-11
] ,
[
16
-12
] ,
[
16
-13
] ,
[
16
-14
] ,
[
16
-15
] ,
[
16
-16
] ,
[
16
-17
] ,
[
16
-18
] ,
[
16
-19
] ,
[
16
-20
] ,
[
16
-21
] ,
[
16
-22
] ,
[
16
-23
] ,
[
16
-24
] ,
[
16
-25
] ,
[
16
-26
] ,
[
16
-27
] ,
[
16
-28
] ,
[
16
-29
] ,
[
16
-30
] ,
[
16
-31
] ,
[
16
-32
] ,
[
16
-33
] ,
[
16
-34
] ,
[
16
-35
] ,
[
16
-36
] ,
[
16
-37
] ,
[
16
-38
] ,
[
16
-39
] ,
[
16
-40
] ,
[
16
-41
] ,
[
16
-42
] ,
[
16
-43
] ,
[
16
-44
] ,
[
16
-45
] ,
[
16
-46
] ,
[
17
-10
] ,
[
17
-11
] ,
[
17
-12
] ,
[
17
-13
] ,
[
17
-16
] ,
[
17
-17
] ,
[
17
-18
] ,
[
17
-19
] ,
[
17
-20
] ,
[
17
-21
] ,
[
17
-22
] ,
[
17
-23
] ,
[
17
-24
] ,
[
17
-25
] ,
[
17
-26
] ,
[
17
-27
] ,
[
17
-28
] ,
[
17
-29
] ,
[
17
-30
] ,
[
17
-31
] ,
[
17
-32
] ,
[
17
-33
] ,
[
17
-34
] ,
[
17
-35
] ,
[
17
-36
] ,
[
17
-37
] ,
[
17
-38
] ,
[
17
-39
] ,
[
17
-40
] ,
[
17
-41
] ,
[
17
-42
] ,
[
17
-43
] ,
[
17
-44
] ,
[
18
-10
] ,
[
18
-11
] ,
[
18
-12
] ,
[
18
-13
] ,
[
18
-14
] ,
[
18
-16
] ,
[
18
-17
] ,
[
18
-18
] ,
[
18
-19
] ,
[
18
-20
] ,
[
18
-21
] ,
[
18
-22
] ,
[
18
-23
] ,
[
18
-24
] ,
[
18
-25
] ,
[
18
-26
] ,
]
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 r3459 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r3459
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: 7m