<del>LS8_TMAD_NBART_0_-32_20140101.nc</del>

creation_dt 2018-12-26T16:39:20.079139 creation_time 2018-12-26 16:39:20 format NetCDF id 38c7afc6-0cc3-4e22-92e1-d4d4b559c422 instrument OLI label • lat -29.435 to -28.54 lon 132.0 to 133.043 platform LANDSAT_8 product_type surface_reflectance_triple_mad time 2014-01-01 00:00:00 to 2014-01-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/stats/tmad/annual/ls8_mad/0_-32/LS8_TMAD_NBART_0_-32_20140101.nc

Metadata Document 🔗

RAW As Stac

id: 38c7afc6-0cc3-4e22-92e1-d4d4b559c422

product_type: surface_reflectance_triple_mad

creation_dt: 2018-12-26T16:39:20.079139

platform:

code: LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -29.435269504370435

lon: 131.99999999999997

lr:

lat: -29.431630546042943

lon: 133.04269726129866

ul:

lat: -28.54371143143031

lon: 131.99999999999997

ur:

lat: -28.540103071819914

lon: 133.03425621496913

to_dt: 2014-01-01T00:00:00

from_dt: 2014-01-01T00:00:00

center_dt: 2014-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

0.0

-3185051.9265425466

]

[

0.0

-3100000.0

]

[

100000.0

-3100000.0

]

[

100000.0

-3200000.0

]

[

0.0

-3200000.0

]

[

0.0

-3185051.9265425466

]

geo_ref_points:

ll:

x: 0.0

y: -3200000.0

lr:

x: 100000.0

y: -3200000.0

ul:

x: 0.0

y: -3100000.0

ur:

x: 100000.0

y: -3100000.0

spatial_reference: EPSG:3577

image:

bands:

edev:

path:

layer: edev

sdev:

path:

layer: sdev

bcdev:

path:

layer: bcdev

lineage:

algorithm:

version: 0.9b4

repo_url: https://github.com/GeoscienceAustralia/datacube-stats.git

parameters:

configuration_file:

sources: [

masks: [

flags:

cloud_acca: no_cloud

contiguous: True

cloud_fmask: no_cloud

nir_saturated: False

red_saturated: False

blue_saturated: False

green_saturated: False

swir1_saturated: False

swir2_saturated: False

cloud_shadow_acca: no_cloud_shadow

cloud_shadow_fmask: no_cloud_shadow

product: ls8_pq_albers

group_by: solar_day

fuse_func: datacube.helpers.ga_pq_fuser

measurement: pixelquality

]

product: ls8_nbart_albers

group_by: solar_day

measurements: [

blue

green

red

nir

swir1

swir2

]

storage:

crs: EPSG:3577

driver: NetCDF CF

chunking:

x: 256

y: 256

time: 1

tile_size:

x: 100000.0

y: 100000.0

resolution:

x: 25

y: -25

dimension_order: [

time

]

location: /g/data/u46/users/bt2744/work/data/mad-annual/prod/ls8/

computation:

chunking:

x: 1000

y: 200

date_ranges:

end_date: 2018-01-01

step_size: 1y

start_date: 2012-01-01

stats_duration: 1y

input_region:

tiles: [

[

-32

]

filter_product:

var_attributes:

output_products: [

metadata:

format:

platform:

code: LANDSAT_8

instrument:

statistic: external

product_type: surface_reflectance_triple_mad

output_params:

zlib: True

fletcher32: True

statistic_args:

impl: model.TernaryMAD

num_threads: 3

file_path_template: ls8_ternary_mad-{epoch_start:%Y%m%d}-{epoch_end:%Y%m%d}_{x}_{y}.nc

]

global_attributes:

title: LS8 Surface Reflectance Triple Median Absolute Deviation 2.1.0

cmi_id: SR_TMAD_25_2.1.0

source: datacube-2nd-order-stats

license: CC BY Attribution 4.0 International License

summary: This product provides 'second order' statistical techniques that follow from the geometric median, useful for environmental characterisation and change detection. The Median Absolute Deviation (MAD) is a measure of variance in a dataset through comparison to the median. It is similar in concept to the way that the standard deviation in statistics can be used to understand variance compared to the mean.

keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,TM,EARTH SCIENCE

references: Roberts, D., Dunn, B. and Mueller, N. (2018). Open Data Cube Products Using High-Dimensional Statistics of Time Series. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

institution: Commonwealth of Australia (Geoscience Australia)

cdm_data_type: Grid

product_suite: Surface Reflectance Triple Median Absolute Deviation

publisher_url: http://www.ga.gov.au

publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia

acknowledgments: The high-dimensional statistics algorithms incorporated in this product is the work of Dr Dale Roberts, Australian National University.

product_version: 2.1.0

publisher_email: earth.observation@ga.gov.au

keywords_vocabulary: GCMD

machine:

uname: Linux r3755 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64

hostname: r3755

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: 1y