WOFS_3577_8_-28_2015-04_2015-10_summary.nc

dataset of product wofs_apr_oct_summary
Indexed by adh547 , created
Archived
for 1st April 2015

Fields 🔗

creation_time 2018-11-23 02:57:58 🔍 format NetCDF id d17aa143-8909-4cf6-803f-382093e1fca4 🔍 instrument TM,ETM,OLI label • 🔍 lat -25.644 to -24.694 🔍 lon 140.004 to 141.073 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_apr_oct_summary time 2015-04-01 00:00:00 to 2015-04-01 00:00:00 🔍

Related Datasets 🔗

LS_WATER_3577_8_-28_20150410003032000000_v1526766106.nc
LS_WATER_3577_8_-28_20150604003606000000_v1526766106.nc
LS_WATER_3577_8_-28_20150901003034000000_v1526766106.nc
LS_WATER_3577_8_-28_20150908003712000000_v1526766106.nc
LS_WATER_3577_8_-28_20150723003030500000_v1526766106.nc
LS_WATER_3577_8_-28_20150715003042000000_v1526766106.nc
LS_WATER_3577_8_-28_20150426003028000000_v1526766106.nc
LS_WATER_3577_8_-28_20150629003032000000_v1526766106.nc
LS_WATER_3577_8_-28_20150409003630500000_v1526766106.nc
LS_WATER_3577_8_-28_20150714003704500000_v1526766106.nc
LS_WATER_3577_8_-28_20150731003046500000_v1526766106.nc
LS_WATER_3577_8_-28_20151002003651000000_v1526766106.nc
LS_WATER_3577_8_-28_20150511003644500000_v1526766106.nc
LS_WATER_3577_8_-28_20150604003630000000_v1526766106.nc
LS_WATER_3577_8_-28_20150402003014000000_v1526766106.nc
LS_WATER_3577_8_-28_20150512002948000000_v1526766106.nc
LS_WATER_3577_8_-28_20151003003046500000_v1526766106.nc
LS_WATER_3577_8_-28_20150815003710500000_v1526766106.nc
LS_WATER_3577_8_-28_20150916003652500000_v1526766106.nc
LS_WATER_3577_8_-28_20150528003014000000_v1526766106.nc
LS_WATER_3577_8_-28_20150807003634000000_v1526766106.nc
LS_WATER_3577_8_-28_20150715003018000000_v1526766106.nc
LS_WATER_3577_8_-28_20150402002950500000_v1526766106.nc
LS_WATER_3577_8_-28_20150706003624000000_v1526766106.nc
LS_WATER_3577_8_-28_20150909003103000000_v1526766106.nc
LS_WATER_3577_8_-28_20150503003608000000_v1526766106.nc
LS_WATER_3577_8_-28_20150417003643000000_v1526766106.nc
LS_WATER_3577_8_-28_20151027003133000000_v1526766106.nc
LS_WATER_3577_8_-28_20150519003622500000_v1526766106.nc
LS_WATER_3577_8_-28_20150823003642500000_v1526766106.nc
... 71 more
WOFS_3577_8_-28_2015-04_2015-10_summary.nc

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/8_-28/WOFS_3577_8_-28_2015-04_2015-10_summary.nc

Metadata Document 🔗

RAW As Stac
id: d17aa143-8909-4cf6-803f-382093e1fca4
product_type: wofs_apr_oct_summary
creation_dt: 2018-11-23T02:57:58.545428
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -25.643839186955432
lon: 140.0672973907526
lr:
lat: -25.584046166390102
lon: 141.07250992215845
ul:
lat: -24.753304705390654
lon: 140.00420125624038
ur:
lat: -24.693937182313313
lon: 141.00160119085047
to_dt: 2015-04-01T00:00:00
from_dt: 2015-04-01T00:00:00
center_dt: 2015-04-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
800000.0
-2743453.2019733824
]
[
800000.0
-2700000.0
]
[
900000.0
-2700000.0
]
[
900000.0
-2800000.0
]
[
800000.0
-2800000.0
]
[
800000.0
-2743453.2019733824
]
]
]
geo_ref_points:
ll:
x: 800000.0
y: -2800000.0
lr:
x: 900000.0
y: -2800000.0
ul:
x: 800000.0
y: -2700000.0
ur:
x: 900000.0
y: -2700000.0
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:
[ [180 items...]
[
4
-23
] ,
[
4
-24
] ,
[
4
-25
] ,
[
4
-26
] ,
[
4
-27
] ,
[
4
-28
] ,
[
4
-29
] ,
[
4
-30
] ,
[
4
-31
] ,
[
4
-32
] ,
[
4
-33
] ,
[
4
-34
] ,
[
4
-35
] ,
[
4
-36
] ,
[
4
-37
] ,
[
4
-38
] ,
[
4
-39
] ,
[
4
-40
] ,
[
4
-41
] ,
[
4
-42
] ,
[
4
-43
] ,
[
5
-10
] ,
[
5
-11
] ,
[
5
-12
] ,
[
5
-13
] ,
[
5
-14
] ,
[
5
-15
] ,
[
5
-16
] ,
[
5
-17
] ,
[
5
-18
] ,
[
5
-19
] ,
[
5
-20
] ,
[
5
-21
] ,
[
5
-22
] ,
[
5
-23
] ,
[
5
-24
] ,
[
5
-25
] ,
[
5
-26
] ,
[
5
-27
] ,
[
5
-28
] ,
[
5
-29
] ,
[
5
-30
] ,
[
5
-31
] ,
[
5
-32
] ,
[
5
-33
] ,
[
5
-34
] ,
[
5
-35
] ,
[
5
-36
] ,
[
5
-37
] ,
[
5
-38
] ,
[
5
-39
] ,
[
5
-40
] ,
[
5
-41
] ,
[
5
-42
] ,
[
5
-43
] ,
[
5
-44
] ,
[
5
-45
] ,
[
5
-46
] ,
[
6
-10
] ,
[
6
-11
] ,
[
6
-12
] ,
[
6
-13
] ,
[
6
-14
] ,
[
6
-15
] ,
[
6
-16
] ,
[
6
-17
] ,
[
6
-18
] ,
[
6
-19
] ,
[
6
-20
] ,
[
6
-21
] ,
[
6
-22
] ,
[
6
-23
] ,
[
6
-24
] ,
[
6
-25
] ,
[
6
-26
] ,
[
6
-27
] ,
[
6
-28
] ,
[
6
-29
] ,
[
6
-30
] ,
[
6
-31
] ,
[
6
-32
] ,
[
6
-33
] ,
[
6
-34
] ,
[
6
-35
] ,
[
6
-36
] ,
[
6
-37
] ,
[
6
-38
] ,
[
6
-39
] ,
[
6
-40
] ,
[
6
-41
] ,
[
6
-42
] ,
[
6
-43
] ,
[
6
-44
] ,
[
6
-45
] ,
[
6
-46
] ,
[
7
-10
] ,
[
7
-11
] ,
[
7
-12
] ,
[
7
-13
] ,
[
7
-14
] ,
[
7
-15
] ,
[
7
-16
] ,
[
7
-17
] ,
[
7
-18
] ,
[
7
-19
] ,
[
7
-20
] ,
[
7
-21
] ,
[
7
-22
] ,
[
7
-23
] ,
[
7
-24
] ,
[
7
-25
] ,
[
7
-26
] ,
[
7
-27
] ,
[
7
-28
] ,
[
7
-29
] ,
[
7
-30
] ,
[
7
-31
] ,
[
7
-32
] ,
[
7
-33
] ,
[
7
-34
] ,
[
7
-35
] ,
[
7
-36
] ,
[
7
-37
] ,
[
7
-38
] ,
[
7
-39
] ,
[
7
-40
] ,
[
7
-41
] ,
[
7
-42
] ,
[
7
-43
] ,
[
7
-44
] ,
[
7
-45
] ,
[
7
-46
] ,
[
8
-10
] ,
[
8
-11
] ,
[
8
-12
] ,
[
8
-13
] ,
[
8
-14
] ,
[
8
-15
] ,
[
8
-16
] ,
[
8
-17
] ,
[
8
-18
] ,
[
8
-19
] ,
[
8
-20
] ,
[
8
-21
] ,
[
8
-22
] ,
[
8
-23
] ,
[
8
-24
] ,
[
8
-25
] ,
[
8
-26
] ,
[
8
-27
] ,
[
8
-28
] ,
[
8
-29
] ,
[
8
-30
] ,
[
8
-31
] ,
[
8
-32
] ,
[
8
-33
] ,
[
8
-34
] ,
[
8
-35
] ,
[
8
-36
] ,
[
8
-37
] ,
[
8
-38
] ,
[
8
-39
] ,
[
8
-40
] ,
[
8
-41
] ,
[
8
-42
] ,
[
8
-43
] ,
[
8
-44
] ,
[
8
-45
] ,
[
8
-46
] ,
[
8
-47
] ,
[
8
-48
] ,
[
8
-49
] ,
[
9
-10
] ,
[
9
-11
] ,
[
9
-12
] ,
[
9
-13
] ,
[
9
-14
] ,
[
9
-15
] ,
[
9
-16
] ,
[
9
-17
] ,
]
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 r3445 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r3445
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