<del>LS8_TMAD_NBART_9_-42_20130101.nc</del>

creation_dt 2018-12-26T16:04:58.580202 creation_time 2018-12-26 16:04:58 format NetCDF id 2f8dce7f-983f-4b33-918f-00dec23a0bab instrument OLI label • lat -38.087 to -37.109 lon 142.107 to 143.324 platform LANDSAT_8 product_type surface_reflectance_triple_mad time 2013-01-01 00:00:00 to 2013-01-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/stats/tmad/annual/ls8_mad/9_-42/LS8_TMAD_NBART_9_-42_20130101.nc

Metadata Document 🔗

RAW As Stac

id: 2f8dce7f-983f-4b33-918f-00dec23a0bab

product_type: surface_reflectance_triple_mad

creation_dt: 2018-12-26T16:04:58.580202

platform:

code: LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -38.08712413372383

lon: 142.196792119676

lr:

lat: -38.01079958504245

lon: 143.32413792920158

ul:

lat: -37.184071152595024

lon: 142.1073456224012

ur:

lat: -37.10865149502979

lon: 143.22489961680594

to_dt: 2013-01-01T00:00:00

from_dt: 2013-01-01T00:00:00

center_dt: 2013-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

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[

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geo_ref_points:

ll:

x: 900000.0

y: -4200000.0

lr:

x: 1000000.0

y: -4200000.0

ul:

x: 900000.0

y: -4100000.0

ur:

x: 1000000.0

y: -4100000.0

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: [

[

-42

]

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 r3737 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64

hostname: r3737

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