<del>LS5_TMAD_NBART_16_-27_20050101.nc</del>

creation_time 2018-12-24 09:15:20 format NetCDF id e14044e9-76cb-47df-a0da-8098a5397d8a instrument TM label • lat -24.084 to -23.084 lon 147.823 to 148.931 platform LANDSAT_5 product_type surface_reflectance_triple_mad time 2005-01-01 00:00:00 to 2005-01-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/stats/tmad/annual/ls5_mad/16_-27/LS5_TMAD_NBART_16_-27_20050101.nc

Metadata Document 🔗

RAW As Stac

id: e14044e9-76cb-47df-a0da-8098a5397d8a

product_type: surface_reflectance_triple_mad

creation_dt: 2018-12-24T09:15:20.369988

platform:

code: LANDSAT_5

instrument:

format:

extent:

coord:

ll:

lat: -24.08438988770685

lon: 147.94605320839594

lr:

lat: -23.969766053927234

lon: 148.9313886121712

ul:

lat: -23.19761240460206

lon: 147.82325012003338

ur:

lat: -23.08374280930243

lon: 148.8011685028963

to_dt: 2005-01-01T00:00:00

from_dt: 2005-01-01T00:00:00

center_dt: 2005-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

1600000.0

-2658139.814773558

]

[

1600000.0

-2600000.0

]

[

1700000.0

-2600000.0

]

[

1700000.0

-2700000.0

]

[

1600000.0

-2700000.0

]

[

1600000.0

-2658139.814773558

]

geo_ref_points:

ll:

x: 1600000.0

y: -2700000.0

lr:

x: 1700000.0

y: -2700000.0

ul:

x: 1600000.0

y: -2600000.0

ur:

x: 1700000.0

y: -2600000.0

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: [

[

-27

]

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 r4356 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64

hostname: r4356

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