WOFS_3577_-17_-33_2013-11_2014-03_summary.nc

dataset of product wofs_nov_mar_summary
Indexed by adh547 , created
Archived
for 1st November 2013

Fields 🔗

creation_time 2018-11-28 14:10:10 🔍 format NetCDF id 3d407ab9-02f5-420e-8c46-066e0d13ae1e 🔍 instrument TM,ETM,OLI label • 🔍 lat -29.392 to -28.389 🔍 lon 114.243 to 115.41 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type wofs_nov_mar_summary time 2013-11-01 00:00:00 to 2013-11-01 00:00:00 🔍

Related Datasets 🔗

LS_WATER_3577_-17_-33_20140109020716500000_v1526762166.nc
LS_WATER_3577_-17_-33_20131223021828500000_v1526758996.nc
LS_WATER_3577_-17_-33_20140306021124500000_v1526762166.nc
LS_WATER_3577_-17_-33_20140218021140000000_v1526762166.nc
LS_WATER_3577_-17_-33_20140117021159000000_v1526762166.nc
LS_WATER_3577_-17_-33_20131114021257000000_v1526758996.nc
LS_WATER_3577_-17_-33_20140313021733000000_v1526762166.nc
LS_WATER_3577_-17_-33_20131106020658500000_v1526758996.nc
LS_WATER_3577_-17_-33_20140226020733500000_v1526762166.nc
LS_WATER_3577_-17_-33_20131130021227500000_v1526758996.nc
LS_WATER_3577_-17_-33_20140321021355500000_v1526762166.nc
LS_WATER_3577_-17_-33_20140330020748000000_v1526762166.nc
LS_WATER_3577_-17_-33_20131224020713500000_v1526758996.nc
LS_WATER_3577_-17_-33_20140125020736500000_v1526762166.nc
LS_WATER_3577_-17_-33_20140117021223000000_v1526762166.nc
LS_WATER_3577_-17_-33_20140108021819000000_v1526762166.nc
LS_WATER_3577_-17_-33_20140202021217000000_v1526762166.nc
LS_WATER_3577_-17_-33_20140306021148500000_v1526762166.nc
LS_WATER_3577_-17_-33_20131114021233000000_v1526758996.nc
LS_WATER_3577_-17_-33_20131130021251500000_v1526758996.nc
LS_WATER_3577_-17_-33_20131216021246000000_v1526758996.nc
LS_WATER_3577_-17_-33_20140209021757500000_v1526762166.nc
LS_WATER_3577_-17_-33_20131121021838000000_v1526758996.nc
LS_WATER_3577_-17_-33_20140210020741500000_v1526762166.nc
LS_WATER_3577_-17_-33_20131215021321500000_v1526758996.nc
LS_WATER_3577_-17_-33_20140217021344500000_v1526762166.nc
LS_WATER_3577_-17_-33_20140322021138000000_v1526762166.nc
LS_WATER_3577_-17_-33_20140116021336500000_v1526762166.nc
LS_WATER_3577_-17_-33_20131208020711500000_v1526758996.nc
LS_WATER_3577_-17_-33_20140305021348000000_v1526762166.nc
... 10 more
WOFS_3577_-17_-33_2013-11_2014-03_summary.nc

Location 🔗

file:///g/data/fk4/datacube/002/WOfS/WOfS_Stats_Nov_Mar_25_2_1/netcdf/-17_-33/WOFS_3577_-17_-33_2013-11_2014-03_summary.nc

Metadata Document 🔗

RAW As Stac
id: 3d407ab9-02f5-420e-8c46-066e0d13ae1e
product_type: wofs_nov_mar_summary
creation_dt: 2018-11-28T14:10:10.163230
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -29.27179937570217
lon: 114.24311954291998
lr:
lat: -29.39176754283124
lon: 115.27538450444465
ul:
lat: -28.38881656592361
lon: 114.38621114369309
ur:
lat: -28.507789084391685
lon: 115.41035240519965
to_dt: 2013-11-01T00:00:00
from_dt: 2013-11-01T00:00:00
center_dt: 2013-11-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
-1700000.0
-3300000.0
]
[
-1700000.0
-3200000.0
]
[
-1600000.0
-3200000.0
]
[
-1600000.0
-3300000.0
]
[
-1700000.0
-3300000.0
]
]
]
geo_ref_points:
ll:
x: -1700000.0
y: -3300000.0
lr:
x: -1600000.0
y: -3300000.0
ul:
x: -1700000.0
y: -3200000.0
ur:
x: -1600000.0
y: -3200000.0
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/wet
computation:
chunking:
x: 2000
y: 2000
date_ranges:
end_date: 2018-04-01
step_size: 1y
start_date: 1986-11-01
stats_duration: 5m
input_region:
tiles:
[ [85 items...]
[
-17
-34
] ,
[
-17
-33
] ,
[
-17
-32
] ,
[
-17
-31
] ,
[
-17
-30
] ,
[
-17
-29
] ,
[
-17
-28
] ,
[
-17
-27
] ,
[
-17
-26
] ,
[
-17
-25
] ,
[
-17
-24
] ,
[
-17
-23
] ,
[
-17
-22
] ,
[
-17
-21
] ,
[
-17
-13
] ,
[
-17
-12
] ,
[
-17
-11
] ,
[
-18
-40
] ,
[
-18
-39
] ,
[
-18
-38
] ,
[
-18
-37
] ,
[
-18
-36
] ,
[
-18
-35
] ,
[
-18
-34
] ,
[
-18
-33
] ,
[
-18
-32
] ,
[
-18
-31
] ,
[
-18
-30
] ,
[
-18
-29
] ,
[
-18
-28
] ,
[
-18
-27
] ,
[
-18
-26
] ,
[
-18
-25
] ,
[
-18
-24
] ,
[
-18
-23
] ,
[
-18
-22
] ,
[
-18
-21
] ,
[
-18
-20
] ,
[
-19
-36
] ,
[
-19
-35
] ,
[
-19
-34
] ,
[
-19
-33
] ,
[
-19
-32
] ,
[
-19
-31
] ,
[
-19
-30
] ,
[
-19
-29
] ,
[
-19
-28
] ,
[
-19
-27
] ,
[
-19
-26
] ,
[
-19
-25
] ,
[
-19
-24
] ,
[
-19
-23
] ,
[
-19
-22
] ,
[
-19
-21
] ,
[
-19
-20
] ,
[
-20
-35
] ,
[
-20
-34
] ,
[
-20
-33
] ,
[
-20
-32
] ,
[
-20
-31
] ,
[
-20
-30
] ,
[
-20
-29
] ,
[
-20
-28
] ,
[
-20
-27
] ,
[
-20
-26
] ,
[
-20
-25
] ,
[
-20
-24
] ,
[
-20
-23
] ,
[
-20
-22
] ,
[
-21
-35
] ,
[
-21
-34
] ,
[
-21
-33
] ,
[
-21
-32
] ,
[
-21
-31
] ,
[
-21
-30
] ,
[
-21
-29
] ,
[
-21
-28
] ,
[
-21
-27
] ,
[
-21
-26
] ,
[
-21
-25
] ,
[
-21
-24
] ,
[
-21
-23
] ,
[
-21
-22
] ,
[
-22
-35
] ,
[
-22
-34
] ,
]
filter_product:
var_attributes:
output_products: [
name: wofs_nov_mar_summary
metadata:
format:
name: NetCDF
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM,OLI
statistic: wofs_summary
product_type: wofs_nov_mar_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 November to March 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 r2456 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r2456
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: 5m