<del>LS5_TMAD_NBART_12_-44_19920101.nc</del>

creation_time 2018-12-26 20:58:28 format NetCDF id 90053301-7c84-4b74-9abb-c9f840725fd9 instrument TM label • lat -39.643 to -38.636 lon 145.694 to 146.958 platform LANDSAT_5 product_type surface_reflectance_triple_mad time 1992-01-01 00:00:00 to 1992-01-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/stats/tmad/annual/ls5_mad/12_-44/LS5_TMAD_NBART_12_-44_19920101.nc

Metadata Document 🔗

RAW As Stac

id: 90053301-7c84-4b74-9abb-c9f840725fd9

product_type: surface_reflectance_triple_mad

creation_dt: 2018-12-26T20:58:28.206778

platform:

code: LANDSAT_5

instrument:

format:

extent:

coord:

ll:

lat: -39.64328298835133

lon: 145.8170928872677

lr:

lat: -39.540692069342704

lon: 146.95842094671315

ul:

lat: -38.73723634430453

lon: 145.6941478416134

ur:

lat: -38.63593531791419

lon: 146.82549698475336

to_dt: 1992-01-01T00:00:00

from_dt: 1992-01-01T00:00:00

center_dt: 1992-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

1200000.0

-4327489.308289848

]

[

1200000.0

-4300000.0

]

[

1300000.0

-4300000.0

]

[

1300000.0

-4400000.0

]

[

1200000.0

-4400000.0

]

[

1200000.0

-4327489.308289848

]

geo_ref_points:

ll:

x: 1200000.0

y: -4400000.0

lr:

x: 1300000.0

y: -4400000.0

ul:

x: 1200000.0

y: -4300000.0

ur:

x: 1300000.0

y: -4300000.0

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: 2014-01-01

step_size: 1y

start_date: 1986-01-01

stats_duration: 1y

input_region:

tiles: [

[

-44

]

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 r4369 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64

hostname: r4369

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