WOFS_3577_-14_-12_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 2018-11-22 17:03:16 🔍 format NetCDF id 82f3aac6-daaa-43e2-b714-a72f7b6b0360 🔍 instrument TM,ETM,OLI label • 🔍 lat -10.859 to -9.914 🔍 lon 119.491 to 120.454 🔍 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_-14_-12_20150917020536000000_v1526766106.nc
LS_WATER_3577_-14_-12_20151011020546500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150824020530000000_v1526766106.nc
LS_WATER_3577_-14_-12_20150723020524500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150409021100500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150816020522000000_v1526766106.nc
LS_WATER_3577_-14_-12_20150520020506500000_v1526766106.nc
LS_WATER_3577_-14_-12_20151018021205500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150807021127500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150629020502000000_v1526766106.nc
LS_WATER_3577_-14_-12_20150613020455500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150909020532500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150707020520500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150426020458000000_v1526766106.nc
LS_WATER_3577_-14_-12_20151002021145000000_v1526766106.nc
LS_WATER_3577_-14_-12_20150410020501500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150511021114500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150901020528000000_v1526766106.nc
LS_WATER_3577_-14_-12_20150715020512000000_v1526766106.nc
LS_WATER_3577_-14_-12_20150528020443500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150925020537500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150628021127500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150401021115000000_v1526766106.nc
LS_WATER_3577_-14_-12_20150512020442000000_v1526766106.nc
LS_WATER_3577_-14_-12_20150504020458500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150418020452500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150730021135500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150815021140500000_v1526766106.nc
LS_WATER_3577_-14_-12_20150621020515500000_v1526766106.nc
LS_WATER_3577_-14_-12_20151003020540000000_v1526766106.nc
... 9 more
WOFS_3577_-14_-12_2015-04_2015-10_summary.nc

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Apr_Oct_25_2_1/netcdf/-14_-12/WOFS_3577_-14_-12_2015-04_2015-10_summary.nc

Metadata Document 🔗

RAW As Stac
id: 82f3aac6-daaa-43e2-b714-a72f7b6b0360
product_type: wofs_apr_oct_summary
creation_dt: 2018-11-22T17:03:16.551185
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -10.77201283923086
lon: 119.49059045310852
lr:
lat: -10.85937178762646
lon: 120.37901157854243
ul:
lat: -9.91391852055915
lon: 119.57107237903259
ur:
lat: -10.00104415023664
lon: 120.45384268264944
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: [
[
[
-1400000.0
-1116688.0265965667
]
[
-1400000.0
-1116522.0986533393
]
[
-1369683.0428867089
-1113509.179202462
]
[
-1300000.0
-1107121.3459065375
]
[
-1300000.0
-1200000.0
]
[
-1400000.0
-1200000.0
]
[
-1400000.0
-1116688.0265965667
]
]
]
geo_ref_points:
ll:
x: -1400000.0
y: -1200000.0
lr:
x: -1300000.0
y: -1200000.0
ul:
x: -1400000.0
y: -1100000.0
ur:
x: -1300000.0
y: -1100000.0
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
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...]
[
-22
-34
] ,
[
-22
-35
] ,
[
-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
] ,
[
-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
] ,
[
-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
] ,
[
-18
-20
] ,
[
-18
-21
] ,
[
-18
-22
] ,
[
-18
-23
] ,
[
-18
-24
] ,
[
-18
-25
] ,
[
-18
-26
] ,
[
-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
] ,
[
-17
-11
] ,
[
-17
-12
] ,
[
-17
-13
] ,
[
-17
-21
] ,
[
-17
-22
] ,
[
-17
-23
] ,
[
-17
-24
] ,
[
-17
-25
] ,
[
-17
-26
] ,
[
-17
-27
] ,
[
-17
-28
] ,
[
-17
-29
] ,
[
-17
-30
] ,
[
-17
-31
] ,
[
-17
-32
] ,
[
-17
-33
] ,
[
-17
-34
] ,
[
-17
-35
] ,
[
-17
-36
] ,
[
-17
-37
] ,
[
-17
-38
] ,
[
-17
-39
] ,
[
-17
-40
] ,
[
-17
-41
] ,
[
-16
-11
] ,
[
-16
-12
] ,
[
-16
-13
] ,
[
-16
-19
] ,
[
-16
-20
] ,
[
-16
-21
] ,
[
-16
-22
] ,
[
-16
-23
] ,
[
-16
-24
] ,
[
-16
-25
] ,
[
-16
-26
] ,
[
-16
-27
] ,
[
-16
-28
] ,
[
-16
-29
] ,
[
-16
-30
] ,
[
-16
-31
] ,
[
-16
-32
] ,
[
-16
-33
] ,
[
-16
-34
] ,
[
-16
-35
] ,
[
-16
-36
] ,
[
-16
-37
] ,
[
-16
-38
] ,
[
-16
-39
] ,
[
-16
-40
] ,
[
-16
-41
] ,
[
-16
-42
] ,
[
-15
-11
] ,
[
-15
-12
] ,
[
-15
-13
] ,
[
-15
-19
] ,
[
-15
-20
] ,
[
-15
-21
] ,
[
-15
-22
] ,
[
-15
-23
] ,
[
-15
-24
] ,
[
-15
-25
] ,
[
-15
-26
] ,
[
-15
-27
] ,
[
-15
-28
] ,
[
-15
-29
] ,
[
-15
-30
] ,
[
-15
-31
] ,
[
-15
-32
] ,
[
-15
-33
] ,
[
-15
-34
] ,
[
-15
-35
] ,
[
-15
-36
] ,
[
-15
-37
] ,
[
-15
-38
] ,
[
-15
-39
] ,
[
-15
-40
] ,
[
-15
-41
] ,
[
-15
-42
] ,
[
-14
-11
] ,
[
-14
-12
] ,
[
-14
-13
] ,
[
-14
-15
] ,
[
-14
-16
] ,
[
-14
-17
] ,
[
-14
-18
] ,
[
-14
-19
] ,
[
-14
-20
] ,
[
-14
-21
] ,
[
-14
-22
] ,
[
-14
-23
] ,
[
-14
-24
] ,
[
-14
-25
] ,
[
-14
-26
] ,
[
-14
-27
] ,
[
-14
-28
] ,
[
-14
-29
] ,
[
-14
-30
] ,
[
-14
-31
] ,
[
-14
-32
] ,
[
-14
-33
] ,
[
-14
-34
] ,
[
-14
-35
] ,
[
-14
-36
] ,
[
-14
-37
] ,
[
-14
-38
] ,
[
-14
-39
] ,
[
-14
-40
] ,
[
-14
-41
] ,
[
-14
-42
] ,
[
-13
-11
] ,
[
-13
-12
] ,
[
-13
-13
] ,
[
-13
-14
] ,
]
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 r3507 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r3507
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