WOFS_3577_10_-35_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 02:58:50 🔍 format NetCDF id e4aefb30-e27a-4d58-9b42-efd0a5f9677d 🔍 instrument TM,ETM,OLI label • 🔍 lat -31.74 to -30.773 🔍 lon 142.576 to 143.725 🔍 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_10_-35_19990610000408500000_v1526709923.nc
LS_WATER_3577_10_-35_19991024235650500000_v1526709923.nc
LS_WATER_3577_10_-35_19991017001256500000_v1526709923.nc
LS_WATER_3577_10_-35_19990906235657500000_v1526709923.nc
LS_WATER_3577_10_-35_19990510235247500000_v1526709923.nc
LS_WATER_3577_10_-35_19990830235127500000_v1526709923.nc
LS_WATER_3577_10_-35_19990415235907500000_v1526709923.nc
LS_WATER_3577_10_-35_19990814001252500000_v1526709923.nc
LS_WATER_3577_10_-35_19991026000705500000_v1526709923.nc
LS_WATER_3577_10_-35_19990908000643500000_v1526709923.nc
LS_WATER_3577_10_-35_19990517235824500000_v1526709923.nc
LS_WATER_3577_10_-35_19990906235721500000_v1526709923.nc
LS_WATER_3577_10_-35_19990908000707500000_v1526709923.nc
LS_WATER_3577_10_-35_19990814235149500000_v1526709923.nc
LS_WATER_3577_10_-35_19990722000635500000_v1526709923.nc
LS_WATER_3577_10_-35_19990823000706500000_v1526709923.nc
LS_WATER_3577_10_-35_19990922235654500000_v1526709923.nc
LS_WATER_3577_10_-35_19990526235222500000_v1526709923.nc
LS_WATER_3577_10_-35_19990830235103500000_v1526709923.nc
LS_WATER_3577_10_-35_19990830001256500000_v1526709923.nc
LS_WATER_3577_10_-35_19990408235254000000_v1526709923.nc
LS_WATER_3577_10_-35_19990915235055500000_v1526709923.nc
LS_WATER_3577_10_-35_19991024001901500000_v1526709923.nc
LS_WATER_3577_10_-35_19990722000659500000_v1526709923.nc
LS_WATER_3577_10_-35_19990729235155500000_v1526709923.nc
LS_WATER_3577_10_-35_19990821235752500000_v1526709923.nc
LS_WATER_3577_10_-35_19990814235125000000_v1526709923.nc
LS_WATER_3577_10_-35_19990712000354500000_v1526709923.nc
LS_WATER_3577_10_-35_19991001001301000000_v1526709923.nc
LS_WATER_3577_10_-35_19990618235755500000_v1526709923.nc
... 33 more
WOFS_3577_10_-35_1999-04_1999-10_summary.nc

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/10_-35/WOFS_3577_10_-35_1999-04_1999-10_summary.nc

Metadata Document 🔗

RAW As Stac
id: e4aefb30-e27a-4d58-9b42-efd0a5f9677d
product_type: wofs_apr_oct_summary
creation_dt: 2018-11-23T02:58:50.399093
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -31.74001178621787
lon: 142.66409053297414
lr:
lat: -31.66182245122335
lon: 143.7247911703141
ul:
lat: -30.850045540800547
lon: 142.57601308777168
ur:
lat: -30.772575312062365
lon: 143.6280460497268
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: [
[
[
1000000.0
-3400307.592156083
]
[
1000000.0
-3400000.0
]
[
1100000.0
-3400000.0
]
[
1100000.0
-3500000.0
]
[
1000000.0
-3500000.0
]
[
1000000.0
-3400307.592156083
]
]
]
geo_ref_points:
ll:
x: 1000000.0
y: -3500000.0
lr:
x: 1100000.0
y: -3500000.0
ul:
x: 1000000.0
y: -3400000.0
ur:
x: 1100000.0
y: -3400000.0
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