<del>LS5_TMAD_NBART_4_-37_19890101.nc</del>

creation_dt 2018-12-25T01:09:23.877302 creation_time 2018-12-25 01:09:23 format NetCDF id 226c86c3-2b68-4e77-b83e-6ca8c202899b instrument TM label • lat -33.843 to -32.913 lon 136.31 to 137.432 platform LANDSAT_5 product_type surface_reflectance_triple_mad time 1989-01-01 00:00:00 to 1989-01-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/stats/tmad/annual/ls5_mad/4_-37/LS5_TMAD_NBART_4_-37_19890101.nc

Metadata Document 🔗

RAW As Stac

id: 226c86c3-2b68-4e77-b83e-6ca8c202899b

product_type: surface_reflectance_triple_mad

creation_dt: 2018-12-25T01:09:23.877302

platform:

code: LANDSAT_5

instrument:

format:

extent:

coord:

ll:

lat: -33.84266896911854

lon: 136.34665539569045

lr:

lat: -33.80836537550474

lon: 137.4321407007433

ul:

lat: -32.94737730536304

lon: 136.31000938180392

ur:

lat: -32.913418448860824

lon: 137.38636272917773

to_dt: 1989-01-01T00:00:00

from_dt: 1989-01-01T00:00:00

center_dt: 1989-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

400000.0

-3698276.579945049

]

[

400000.0

-3600000.0

]

[

500000.0

-3600000.0

]

[

500000.0

-3700000.0

]

[

400000.0

-3700000.0

]

[

400000.0

-3698276.579945049

]

geo_ref_points:

ll:

x: 400000.0

y: -3700000.0

lr:

x: 500000.0

y: -3700000.0

ul:

x: 400000.0

y: -3600000.0

ur:

x: 500000.0

y: -3600000.0

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: ls5_pq_albers

group_by: solar_day

fuse_func: datacube.helpers.ga_pq_fuser

measurement: pixelquality

]

product: ls5_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/ls5/

computation:

chunking:

x: 1000

y: 200

date_ranges:

end_date: 2020-01-01

step_size: 1y

start_date: 1986-01-01

stats_duration: 1y

input_region:

tiles: [

[

-37

]

filter_product:

var_attributes:

output_products: [

metadata:

format:

platform:

code: LANDSAT_5

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: ls5_ternary_mad-{epoch_start:%Y%m%d}-{epoch_end:%Y%m%d}_{x}_{y}.nc

]

global_attributes:

title: LS5 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 r4354 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64

hostname: r4354

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