WOFS_3577_17_-30_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 04:36:51 🔍 format NetCDF id 5b526fe3-e341-430e-b948-875b967c602a 🔍 instrument TM,ETM,OLI label • 🔍 lat -26.623 to -25.616 🔍 lon 149.198 to 150.34 🔍 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_17_-30_20160409235641500000_v1526770084.nc
LS_WATER_3577_17_-30_20160526235953500000_v1526770084.nc
LS_WATER_3577_17_-30_20160916235647500000_v1526770084.nc
LS_WATER_3577_17_-30_20160815235705500000_v1526770084.nc
LS_WATER_3577_17_-30_20160503000238000000_v1526770084.nc
LS_WATER_3577_17_-30_20160807235406000000_v1526770084.nc
LS_WATER_3577_17_-30_20160916235711500000_v1526770084.nc
LS_WATER_3577_17_-30_20161018000035500000_v1526770084.nc
LS_WATER_3577_17_-30_20160714235702000000_v1526770084.nc
LS_WATER_3577_17_-30_20160401235343500000_v1526770084.nc
LS_WATER_3577_17_-30_20160417235402000000_v1526770084.nc
LS_WATER_3577_17_-30_20161018235712500000_v1526770084.nc
LS_WATER_3577_17_-30_20160730235641000000_v1526770084.nc
LS_WATER_3577_17_-30_20160815235641500000_v1526770084.nc
LS_WATER_3577_17_-30_20160620235349000000_v1526770084.nc
LS_WATER_3577_17_-30_20161010235447000000_v1526770084.nc
LS_WATER_3577_17_-30_20160706235422000000_v1526770084.nc
LS_WATER_3577_17_-30_20160924000259500000_v1526770084.nc
LS_WATER_3577_17_-30_20160527235657000000_v1526770084.nc
LS_WATER_3577_17_-30_20160908000257500000_v1526770084.nc
LS_WATER_3577_17_-30_20160408235953000000_v1526770084.nc
LS_WATER_3577_17_-30_20160409235617500000_v1526770084.nc
LS_WATER_3577_17_-30_20160527235633000000_v1526770084.nc
LS_WATER_3577_17_-30_20160611235957000000_v1526770084.nc
LS_WATER_3577_17_-30_20160924235418500000_v1526770084.nc
LS_WATER_3577_17_-30_20160620235413000000_v1526770084.nc
LS_WATER_3577_17_-30_20160519235404000000_v1526770084.nc
LS_WATER_3577_17_-30_20160401000225500000_v1526770084.nc
LS_WATER_3577_17_-30_20161010000300500000_v1526770084.nc
LS_WATER_3577_17_-30_20160417000232000000_v1526770084.nc
... 30 more
WOFS_3577_17_-30_2016-04_2016-10_summary.nc

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/17_-30/WOFS_3577_17_-30_2016-04_2016-10_summary.nc

Metadata Document 🔗

RAW As Stac
id: 5b526fe3-e341-430e-b948-875b967c602a
product_type: wofs_apr_oct_summary
creation_dt: 2018-11-23T04:36:51.000509
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -26.622629411869084
lon: 149.33437259078906
lr:
lat: -26.498547910052082
lon: 150.34046908873745
ul:
lat: -25.73901694876295
lon: 149.19794273627843
ur:
lat: -25.615849571403892
lon: 150.19633085878846
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: [
[
[
1700000.0
-3000000.0
]
[
1700000.0
-2900000.0
]
[
1800000.0
-2900000.0
]
[
1800000.0
-3000000.0
]
[
1700000.0
-3000000.0
]
]
]
geo_ref_points:
ll:
x: 1700000.0
y: -3000000.0
lr:
x: 1800000.0
y: -3000000.0
ul:
x: 1700000.0
y: -2900000.0
ur:
x: 1800000.0
y: -2900000.0
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