WOFS_3577_22_-13_2017-04_2017-10_summary.nc

dataset of product wofs_apr_oct_summary
Indexed by adh547 , created
Archived
for 1st April 2017

Fields 🔗

creation_time 2018-11-23 01:04:39 🔍 format NetCDF id 1e1ea902-5db6-40d3-a7f0-150674f103d2 🔍 instrument TM,ETM,OLI label • 🔍 lat -10.759 to -9.856 🔍 lon 151.59 to 152.583 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_apr_oct_summary time 2017-04-01 00:00:00 to 2017-04-01 00:00:00 🔍

Related Datasets 🔗

LS_WATER_3577_22_-13_20170513235517000000_v1526773851.nc
LS_WATER_3577_22_-13_20171028000221000000_v1526773851.nc
LS_WATER_3577_22_-13_20170724000157000000_v1526773851.nc
LS_WATER_3577_22_-13_20170427235510500000_v1526773851.nc
LS_WATER_3577_22_-13_20170513235541000000_v1526773851.nc
LS_WATER_3577_22_-13_20170622000147000000_v1526773851.nc
LS_WATER_3577_22_-13_20170521000133000000_v1526773851.nc
LS_WATER_3577_22_-13_20171012000220000000_v1526773851.nc
LS_WATER_3577_22_-13_20170825000208000000_v1526773851.nc
LS_WATER_3577_22_-13_20170817235620000000_v1526773851.nc
LS_WATER_3577_22_-13_20170505000121000000_v1526773851.nc
LS_WATER_3577_22_-13_20170411235545000000_v1526773851.nc
LS_WATER_3577_22_-13_20170427235534500000_v1526773851.nc
LS_WATER_3577_22_-13_20170918235625000000_v1526773851.nc
LS_WATER_3577_22_-13_20170910000209500000_v1526773851.nc
LS_WATER_3577_22_-13_20170403000136500000_v1526773851.nc
LS_WATER_3577_22_-13_20170817235556000000_v1526773851.nc
LS_WATER_3577_22_-13_20170606000141500000_v1526773851.nc
LS_WATER_3577_22_-13_20170708000151000000_v1526773851.nc
LS_WATER_3577_22_-13_20170926000215000000_v1526773851.nc
LS_WATER_3577_22_-13_20170411235521000000_v1526773851.nc
LS_WATER_3577_22_-13_20170918235601000000_v1526773851.nc
LS_WATER_3577_22_-13_20170529235551000000_v1526773851.nc
WOFS_3577_22_-13_2017-04_2017-10_summary.nc

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/22_-13/WOFS_3577_22_-13_2017-04_2017-10_summary.nc

Metadata Document 🔗

RAW As Stac
id: 1e1ea902-5db6-40d3-a7f0-150674f103d2
product_type: wofs_apr_oct_summary
creation_dt: 2018-11-23T01:04:39.520451
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -10.759212602680176
lon: 151.70235943216954
lr:
lat: -10.613675069111924
lon: 152.5828306155875
ul:
lat: -10.001112447656464
lon: 151.58974854425247
ur:
lat: -9.855915575254846
lon: 152.46535730518002
to_dt: 2017-04-01T00:00:00
from_dt: 2017-04-01T00:00:00
center_dt: 2017-04-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
2200000.0
-1280289.5196392166
]
[
2200000.0
-1217346.25746501
]
[
2251003.5427658614
-1225216.478299423
]
[
2300000.0
-1233160.7506986158
]
[
2300000.0
-1300000.0
]
[
2200000.0
-1300000.0
]
[
2200000.0
-1280289.5196392166
]
]
]
geo_ref_points:
ll:
x: 2200000.0
y: -1300000.0
lr:
x: 2300000.0
y: -1300000.0
ul:
x: 2200000.0
y: -1200000.0
ur:
x: 2300000.0
y: -1200000.0
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:
[ [184 items...]
[
18
-27
] ,
[
18
-28
] ,
[
18
-29
] ,
[
18
-30
] ,
[
18
-31
] ,
[
18
-32
] ,
[
18
-33
] ,
[
18
-34
] ,
[
18
-35
] ,
[
18
-36
] ,
[
18
-37
] ,
[
18
-38
] ,
[
18
-39
] ,
[
18
-40
] ,
[
18
-41
] ,
[
18
-42
] ,
[
19
-10
] ,
[
19
-11
] ,
[
19
-12
] ,
[
19
-13
] ,
[
19
-14
] ,
[
19
-15
] ,
[
19
-16
] ,
[
19
-17
] ,
[
19
-18
] ,
[
19
-19
] ,
[
19
-20
] ,
[
19
-21
] ,
[
19
-22
] ,
[
19
-23
] ,
[
19
-24
] ,
[
19
-25
] ,
[
19
-26
] ,
[
19
-27
] ,
[
19
-28
] ,
[
19
-29
] ,
[
19
-30
] ,
[
19
-31
] ,
[
19
-32
] ,
[
19
-33
] ,
[
19
-34
] ,
[
19
-35
] ,
[
19
-36
] ,
[
19
-37
] ,
[
19
-38
] ,
[
19
-39
] ,
[
19
-40
] ,
[
19
-41
] ,
[
20
-11
] ,
[
20
-12
] ,
[
20
-13
] ,
[
20
-14
] ,
[
20
-15
] ,
[
20
-16
] ,
[
20
-17
] ,
[
20
-18
] ,
[
20
-19
] ,
[
20
-20
] ,
[
20
-21
] ,
[
20
-22
] ,
[
20
-23
] ,
[
20
-24
] ,
[
20
-25
] ,
[
20
-26
] ,
[
20
-27
] ,
[
20
-28
] ,
[
20
-29
] ,
[
20
-30
] ,
[
20
-31
] ,
[
20
-32
] ,
[
20
-33
] ,
[
20
-34
] ,
[
20
-35
] ,
[
20
-36
] ,
[
20
-37
] ,
[
20
-38
] ,
[
20
-39
] ,
[
20
-40
] ,
[
21
-12
] ,
[
21
-13
] ,
[
21
-14
] ,
[
21
-15
] ,
[
21
-16
] ,
[
21
-18
] ,
[
21
-19
] ,
[
21
-20
] ,
[
21
-21
] ,
[
21
-22
] ,
[
21
-23
] ,
[
21
-24
] ,
[
21
-25
] ,
[
21
-26
] ,
[
21
-27
] ,
[
21
-28
] ,
[
21
-29
] ,
[
21
-30
] ,
[
21
-31
] ,
[
21
-32
] ,
[
21
-33
] ,
[
21
-34
] ,
[
21
-35
] ,
[
21
-36
] ,
[
21
-37
] ,
[
21
-38
] ,
[
22
-12
] ,
[
22
-13
] ,
[
22
-14
] ,
[
22
-15
] ,
[
22
-16
] ,
[
22
-18
] ,
[
22
-19
] ,
[
22
-20
] ,
[
22
-21
] ,
[
22
-22
] ,
[
22
-23
] ,
[
22
-24
] ,
[
22
-25
] ,
[
22
-26
] ,
[
22
-27
] ,
[
22
-28
] ,
[
22
-29
] ,
[
22
-30
] ,
[
22
-31
] ,
[
22
-32
] ,
[
22
-33
] ,
[
22
-34
] ,
[
22
-35
] ,
[
23
-12
] ,
[
23
-13
] ,
[
23
-14
] ,
[
23
-15
] ,
[
23
-16
] ,
[
23
-20
] ,
[
23
-21
] ,
[
23
-22
] ,
[
23
-23
] ,
[
23
-24
] ,
[
23
-25
] ,
[
23
-26
] ,
[
23
-27
] ,
[
23
-28
] ,
[
23
-29
] ,
[
23
-30
] ,
[
23
-31
] ,
[
23
-32
] ,
[
23
-33
] ,
[
24
-12
] ,
[
24
-13
] ,
[
24
-14
] ,
[
24
-15
] ,
[
24
-16
] ,
[
24
-20
] ,
[
24
-21
] ,
[
24
-22
] ,
[
24
-23
] ,
[
24
-24
] ,
[
24
-25
] ,
[
24
-26
] ,
[
24
-27
] ,
[
24
-28
] ,
[
24
-29
] ,
[
24
-30
] ,
[
25
-12
] ,
[
25
-13
] ,
[
25
-14
] ,
[
25
-15
] ,
[
25
-16
] ,
[
25
-20
] ,
[
25
-21
] ,
[
25
-22
] ,
[
25
-23
] ,
[
25
-24
] ,
[
25
-27
] ,
[
25
-28
] ,
[
26
-12
] ,
[
26
-13
] ,
[
26
-14
] ,
[
26
-15
] ,
[
26
-16
] ,
[
26
-21
] ,
[
26
-22
] ,
[
27
-13
] ,
[
27
-14
] ,
[
27
-15
] ,
]
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 r3189 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r3189
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