WOFS_3577_9_-46_2006-04_2006-10_summary.nc

dataset of product wofs_apr_oct_summary
Indexed by adh547 , created
Archived
for 1st April 2006

Fields 🔗

creation_time 2018-11-23 03:45:51 🔍 format NetCDF id d086028c-e604-4b1d-8205-9f377fbeb6f1 🔍 instrument TM,ETM,OLI label • 🔍 lat -41.733 to -40.736 🔍 lon 142.475 to 143.739 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_apr_oct_summary time 2006-04-01 00:00:00 to 2006-04-01 00:00:00 🔍

Related Datasets 🔗

LS_WATER_3577_9_-46_20060928235341000000_v1526739274.nc
LS_WATER_3577_9_-46_20060515235622500000_v1526739274.nc
LS_WATER_3577_9_-46_20060912235348000000_v1526739274.nc
LS_WATER_3577_9_-46_20060616235650500000_v1526739274.nc
LS_WATER_3577_9_-46_20060710235425000000_v1526739274.nc
LS_WATER_3577_9_-46_20060624000308500000_v1526739274.nc
LS_WATER_3577_9_-46_20060624235435500000_v1526739274.nc
LS_WATER_3577_9_-46_20061022235827500000_v1526739274.nc
LS_WATER_3577_9_-46_20060531000028500000_v1526739274.nc
LS_WATER_3577_9_-46_20060421000212500000_v1526739274.nc
LS_WATER_3577_9_-46_20061014235343500000_v1526739274.nc
LS_WATER_3577_9_-46_20060616235715000000_v1526739274.nc
LS_WATER_3577_9_-46_20060912235412000000_v1526739274.nc
LS_WATER_3577_9_-46_20060413000027000000_v1526739274.nc
LS_WATER_3577_9_-46_20060912000412000000_v1526739274.nc
LS_WATER_3577_9_-46_20060710235404500000_v1526739274.nc
LS_WATER_3577_9_-46_20060920235807500000_v1526739274.nc
LS_WATER_3577_9_-46_20060710000322500000_v1526739274.nc
LS_WATER_3577_9_-46_20060803235755500000_v1526739274.nc
LS_WATER_3577_9_-46_20061014235407000000_v1526739274.nc
LS_WATER_3577_9_-46_20060413235554500000_v1526739274.nc
LS_WATER_3577_9_-46_20060523000239000000_v1526739274.nc
LS_WATER_3577_9_-46_20060904235756500000_v1526739274.nc
LS_WATER_3577_9_-46_20060429235634000000_v1526739274.nc
LS_WATER_3577_9_-46_20060718235743000000_v1526739274.nc
LS_WATER_3577_9_-46_20060811235419500000_v1526739274.nc
LS_WATER_3577_9_-46_20060718235719000000_v1526739274.nc
LS_WATER_3577_9_-46_20060819000005500000_v1526739274.nc
LS_WATER_3577_9_-46_20060827000400500000_v1526739274.nc
LS_WATER_3577_9_-46_20060608000254000000_v1526739274.nc
... 9 more
WOFS_3577_9_-46_2006-04_2006-10_summary.nc

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/9_-46/WOFS_3577_9_-46_2006-04_2006-10_summary.nc

Metadata Document 🔗

RAW As Stac
id: d086028c-e604-4b1d-8205-9f377fbeb6f1
product_type: wofs_apr_oct_summary
creation_dt: 2018-11-23T03:45:51.722672
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -41.7325866794893
lon: 142.57095302529996
lr:
lat: -41.652163747556926
lon: 143.73923037867831
ul:
lat: -40.81549652739979
lon: 142.47486764530746
ur:
lat: -40.73617647569014
lon: 143.63263809417236
to_dt: 2006-04-01T00:00:00
from_dt: 2006-04-01T00:00:00
center_dt: 2006-04-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
900000.0
-4520421.159675408
]
[
900000.0
-4500000.0
]
[
1000000.0
-4500000.0
]
[
1000000.0
-4600000.0
]
[
965067.7885583447
-4600000.0
]
[
973613.7556599275
-4577144.0211145375
]
[
984637.8843453061
-4547501.446836751
]
[
957987.5826278881
-4540243.914518127
]
[
900000.0
-4524208.921561103
]
[
900000.0
-4520421.159675408
]
]
]
geo_ref_points:
ll:
x: 900000.0
y: -4600000.0
lr:
x: 1000000.0
y: -4600000.0
ul:
x: 900000.0
y: -4500000.0
ur:
x: 1000000.0
y: -4500000.0
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...]
[
9
-18
] ,
[
9
-19
] ,
[
9
-20
] ,
[
9
-21
] ,
[
9
-22
] ,
[
9
-23
] ,
[
9
-24
] ,
[
9
-25
] ,
[
9
-26
] ,
[
9
-27
] ,
[
9
-28
] ,
[
9
-29
] ,
[
9
-30
] ,
[
9
-31
] ,
[
9
-32
] ,
[
9
-33
] ,
[
9
-34
] ,
[
9
-35
] ,
[
9
-36
] ,
[
9
-37
] ,
[
9
-38
] ,
[
9
-39
] ,
[
9
-40
] ,
[
9
-41
] ,
[
9
-42
] ,
[
9
-43
] ,
[
9
-44
] ,
[
9
-45
] ,
[
9
-46
] ,
[
9
-47
] ,
[
9
-48
] ,
[
9
-49
] ,
[
9
-50
] ,
[
10
-10
] ,
[
10
-11
] ,
[
10
-12
] ,
[
10
-13
] ,
[
10
-14
] ,
[
10
-15
] ,
[
10
-16
] ,
[
10
-17
] ,
[
10
-18
] ,
[
10
-19
] ,
[
10
-20
] ,
[
10
-21
] ,
[
10
-22
] ,
[
10
-23
] ,
[
10
-24
] ,
[
10
-25
] ,
[
10
-26
] ,
[
10
-27
] ,
[
10
-28
] ,
[
10
-29
] ,
[
10
-30
] ,
[
10
-31
] ,
[
10
-32
] ,
[
10
-33
] ,
[
10
-34
] ,
[
10
-35
] ,
[
10
-36
] ,
[
10
-37
] ,
[
10
-38
] ,
[
10
-39
] ,
[
10
-40
] ,
[
10
-41
] ,
[
10
-42
] ,
[
10
-43
] ,
[
10
-44
] ,
[
10
-45
] ,
[
10
-46
] ,
[
10
-47
] ,
[
10
-48
] ,
[
10
-49
] ,
[
10
-50
] ,
[
10
-51
] ,
[
11
-10
] ,
[
11
-11
] ,
[
11
-12
] ,
[
11
-13
] ,
[
11
-14
] ,
[
11
-15
] ,
[
11
-16
] ,
[
11
-17
] ,
[
11
-18
] ,
[
11
-19
] ,
[
11
-20
] ,
[
11
-21
] ,
[
11
-22
] ,
[
11
-23
] ,
[
11
-24
] ,
[
11
-25
] ,
[
11
-26
] ,
[
11
-27
] ,
[
11
-28
] ,
[
11
-29
] ,
[
11
-30
] ,
[
11
-31
] ,
[
11
-32
] ,
[
11
-33
] ,
[
11
-34
] ,
[
11
-35
] ,
[
11
-36
] ,
[
11
-37
] ,
[
11
-38
] ,
[
11
-39
] ,
[
11
-40
] ,
[
11
-41
] ,
[
11
-42
] ,
[
11
-43
] ,
[
11
-44
] ,
[
11
-45
] ,
[
11
-46
] ,
[
11
-47
] ,
[
11
-48
] ,
[
11
-49
] ,
[
11
-50
] ,
[
11
-51
] ,
[
12
-11
] ,
[
12
-12
] ,
[
12
-13
] ,
[
12
-14
] ,
[
12
-15
] ,
[
12
-16
] ,
[
12
-17
] ,
[
12
-18
] ,
[
12
-19
] ,
[
12
-20
] ,
[
12
-21
] ,
[
12
-22
] ,
[
12
-23
] ,
[
12
-24
] ,
[
12
-25
] ,
[
12
-26
] ,
[
12
-27
] ,
[
12
-28
] ,
[
12
-29
] ,
[
12
-30
] ,
[
12
-31
] ,
[
12
-32
] ,
[
12
-33
] ,
[
12
-34
] ,
[
12
-35
] ,
[
12
-36
] ,
[
12
-37
] ,
[
12
-38
] ,
[
12
-39
] ,
[
12
-40
] ,
[
12
-41
] ,
[
12
-42
] ,
[
12
-43
] ,
[
12
-44
] ,
[
12
-45
] ,
[
12
-46
] ,
[
12
-47
] ,
[
12
-48
] ,
[
12
-49
] ,
[
12
-50
] ,
[
12
-51
] ,
[
13
-11
] ,
[
13
-12
] ,
[
13
-13
] ,
[
13
-14
] ,
[
13
-15
] ,
[
13
-16
] ,
[
13
-17
] ,
[
13
-18
] ,
[
13
-19
] ,
[
13
-20
] ,
[
13
-21
] ,
[
13
-22
] ,
[
13
-23
] ,
[
13
-24
] ,
[
13
-25
] ,
[
13
-26
] ,
[
13
-27
] ,
[
13
-28
] ,
[
13
-29
] ,
[
13
-30
] ,
[
13
-31
] ,
[
13
-32
] ,
[
13
-33
] ,
]
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 r3389 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r3389
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