WOFS_3577_1_-17_1999-04_1999-10_summary.nc

dataset of product wofs_apr_oct_summary
Indexed by adh547 , created
Archived
for 1st April 1999

Fields 🔗

creation_time 2018-11-23 02:55:20 🔍 format NetCDF id f887bf60-90d0-4f76-9dc3-921dbcfd6786 🔍 instrument TM,ETM,OLI label • 🔍 lat -15.984 to -15.064 🔍 lon 132.922 to 133.858 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_apr_oct_summary time 1999-04-01 00:00:00 to 1999-04-01 00:00:00 🔍

Related Datasets 🔗

LS_WATER_3577_1_-17_19990408004407500000_v1526709923.nc
LS_WATER_3577_1_-17_19990602004919000000_v1526709923.nc
LS_WATER_3577_1_-17_19990526004313500000_v1526709923.nc
LS_WATER_3577_1_-17_19990915004147500000_v1526709923.nc
LS_WATER_3577_1_-17_19990906004813500000_v1526709923.nc
LS_WATER_3577_1_-17_19990914010427500000_v1526709923.nc
LS_WATER_3577_1_-17_19990805004919500000_v1526709923.nc
LS_WATER_3577_1_-17_19991009005805000000_v1526709923.nc
LS_WATER_3577_1_-17_19990618004934500000_v1526709923.nc
LS_WATER_3577_1_-17_19990930010414500000_v1526709923.nc
LS_WATER_3577_1_-17_19991009005829000000_v1526709923.nc
LS_WATER_3577_1_-17_19990408004343500000_v1526709923.nc
LS_WATER_3577_1_-17_19990922004745500000_v1526709923.nc
LS_WATER_3577_1_-17_19990806005821500000_v1526709923.nc
LS_WATER_3577_1_-17_19990618004910500000_v1526709923.nc
LS_WATER_3577_1_-17_19990627004252500000_v1526709923.nc
LS_WATER_3577_1_-17_19990923005823500000_v1526709923.nc
LS_WATER_3577_1_-17_19990822005755500000_v1526709923.nc
LS_WATER_3577_1_-17_19990526004337500000_v1526709923.nc
LS_WATER_3577_1_-17_19990821004907500000_v1526709923.nc
LS_WATER_3577_1_-17_19991016010411500000_v1526709923.nc
LS_WATER_3577_1_-17_19990805004855500000_v1526709923.nc
LS_WATER_3577_1_-17_19990907005757500000_v1526709923.nc
LS_WATER_3577_1_-17_19991016010435500000_v1526709923.nc
LS_WATER_3577_1_-17_19990813010430500000_v1526709923.nc
LS_WATER_3577_1_-17_19990720004921500000_v1526709923.nc
LS_WATER_3577_1_-17_19990611004325000000_v1526709923.nc
LS_WATER_3577_1_-17_19990922004809500000_v1526709923.nc
LS_WATER_3577_1_-17_19990415004957500000_v1526709923.nc
LS_WATER_3577_1_-17_19990915004211500000_v1526709923.nc
... 31 more
WOFS_3577_1_-17_1999-04_1999-10_summary.nc

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/1_-17/WOFS_3577_1_-17_1999-04_1999-10_summary.nc

Metadata Document 🔗

RAW As Stac
id: f887bf60-90d0-4f76-9dc3-921dbcfd6786
product_type: wofs_apr_oct_summary
creation_dt: 2018-11-23T02:55:20.402249
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -15.9835520828277
lon: 132.9289705865956
lr:
lat: -15.973640190852974
lon: 133.8578429466352
ul:
lat: -15.07347472029098
lon: 132.9222644973006
ur:
lat: -15.063605380530968
lon: 133.8444328798249
to_dt: 1999-04-01T00:00:00
from_dt: 1999-04-01T00:00:00
center_dt: 1999-04-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
100000.0
-1600049.3000526652
]
[
100000.0
-1600000.0
]
[
200000.0
-1600000.0
]
[
200000.0
-1700000.0
]
[
100000.0
-1700000.0
]
[
100000.0
-1600049.3000526652
]
]
]
geo_ref_points:
ll:
x: 100000.0
y: -1700000.0
lr:
x: 200000.0
y: -1700000.0
ul:
x: 100000.0
y: -1600000.0
ur:
x: 200000.0
y: -1600000.0
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...]
[
-2
-33
] ,
[
-2
-34
] ,
[
-2
-35
] ,
[
-2
-36
] ,
[
-2
-37
] ,
[
-2
-38
] ,
[
-2
-39
] ,
[
-1
-10
] ,
[
-1
-11
] ,
[
-1
-12
] ,
[
-1
-13
] ,
[
-1
-14
] ,
[
-1
-15
] ,
[
-1
-16
] ,
[
-1
-17
] ,
[
-1
-18
] ,
[
-1
-19
] ,
[
-1
-20
] ,
[
-1
-21
] ,
[
-1
-22
] ,
[
-1
-23
] ,
[
-1
-24
] ,
[
-1
-25
] ,
[
-1
-26
] ,
[
-1
-27
] ,
[
-1
-28
] ,
[
-1
-29
] ,
[
-1
-30
] ,
[
-1
-31
] ,
[
-1
-32
] ,
[
-1
-33
] ,
[
-1
-34
] ,
[
-1
-35
] ,
[
-1
-36
] ,
[
-1
-37
] ,
[
-1
-38
] ,
[
-1
-39
] ,
[
0
-10
] ,
[
0
-11
] ,
[
0
-12
] ,
[
0
-13
] ,
[
0
-14
] ,
[
0
-15
] ,
[
0
-16
] ,
[
0
-17
] ,
[
0
-18
] ,
[
0
-19
] ,
[
0
-20
] ,
[
0
-21
] ,
[
0
-22
] ,
[
0
-23
] ,
[
0
-24
] ,
[
0
-25
] ,
[
0
-26
] ,
[
0
-27
] ,
[
0
-28
] ,
[
0
-29
] ,
[
0
-30
] ,
[
0
-31
] ,
[
0
-32
] ,
[
0
-33
] ,
[
0
-34
] ,
[
0
-35
] ,
[
0
-36
] ,
[
0
-37
] ,
[
0
-38
] ,
[
0
-39
] ,
[
0
-40
] ,
[
0
-41
] ,
[
1
-10
] ,
[
1
-11
] ,
[
1
-12
] ,
[
1
-13
] ,
[
1
-14
] ,
[
1
-15
] ,
[
1
-16
] ,
[
1
-17
] ,
[
1
-18
] ,
[
1
-19
] ,
[
1
-20
] ,
[
1
-21
] ,
[
1
-22
] ,
[
1
-23
] ,
[
1
-24
] ,
[
1
-25
] ,
[
1
-26
] ,
[
1
-27
] ,
[
1
-28
] ,
[
1
-29
] ,
[
1
-30
] ,
[
1
-31
] ,
[
1
-32
] ,
[
1
-33
] ,
[
1
-34
] ,
[
1
-35
] ,
[
1
-36
] ,
[
1
-37
] ,
[
1
-38
] ,
[
1
-39
] ,
[
1
-40
] ,
[
1
-41
] ,
[
2
-10
] ,
[
2
-11
] ,
[
2
-12
] ,
[
2
-13
] ,
[
2
-14
] ,
[
2
-15
] ,
[
2
-16
] ,
[
2
-17
] ,
[
2
-18
] ,
[
2
-19
] ,
[
2
-20
] ,
[
2
-21
] ,
[
2
-22
] ,
[
2
-23
] ,
[
2
-24
] ,
[
2
-25
] ,
[
2
-26
] ,
[
2
-27
] ,
[
2
-28
] ,
[
2
-29
] ,
[
2
-30
] ,
[
2
-31
] ,
[
2
-32
] ,
[
2
-33
] ,
[
2
-34
] ,
[
2
-35
] ,
[
2
-36
] ,
[
2
-37
] ,
[
2
-38
] ,
[
2
-39
] ,
[
2
-40
] ,
[
2
-41
] ,
[
2
-42
] ,
[
3
-10
] ,
[
3
-11
] ,
[
3
-12
] ,
[
3
-13
] ,
[
3
-14
] ,
[
3
-15
] ,
[
3
-16
] ,
[
3
-17
] ,
[
3
-18
] ,
[
3
-19
] ,
[
3
-20
] ,
[
3
-21
] ,
[
3
-22
] ,
[
3
-23
] ,
[
3
-24
] ,
[
3
-25
] ,
[
3
-26
] ,
[
3
-27
] ,
[
3
-28
] ,
[
3
-29
] ,
[
3
-30
] ,
[
3
-31
] ,
[
3
-32
] ,
[
3
-33
] ,
[
3
-34
] ,
[
3
-35
] ,
[
3
-36
] ,
[
3
-37
] ,
[
3
-38
] ,
[
3
-39
] ,
[
3
-40
] ,
[
3
-41
] ,
[
3
-42
] ,
[
3
-43
] ,
[
4
-10
] ,
[
4
-11
] ,
[
4
-12
] ,
[
4
-13
] ,
[
4
-14
] ,
[
4
-15
] ,
[
4
-16
] ,
[
4
-17
] ,
[
4
-18
] ,
[
4
-19
] ,
[
4
-20
] ,
[
4
-21
] ,
[
4
-22
] ,
]
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 r3368 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r3368
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