<del>LS8_TMAD_NBART_-12_-21

creation_dt 2021-02-18T16:32:52.707036 creation_time 2021-02-18 16:32:52 format NetCDF id fe066cce-df94-426d-9855-c37a66a1034d instrument OLI label • lat -19.196 to -18.22 lon 120.549 to 121.576 platform LANDSAT_8 product_type surface_reflectance_triple_mad time 2020-01-01 00:00:00 to 2020-01-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/stats/tmad/annual/ls8_mad/-12_-21/LS8_TMAD_NBART_-12_-21_20200101.nc

Metadata Document 🔗

RAW As Stac

id: fe066cce-df94-426d-9855-c37a66a1034d

product_type: surface_reflectance_triple_mad

creation_dt: 2021-02-18T16:32:52.707036

platform:

code: LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -19.118719579584067

lon: 120.54895728770917

lr:

lat: -19.196024675171063

lon: 121.49872478221846

ul:

lat: -18.220354621126233

lon: 120.6336313242617

ur:

lat: -18.297260057849506

lon: 121.5764413765341

to_dt: 2020-01-01T00:00:00

from_dt: 2020-01-01T00:00:00

center_dt: 2020-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

-1200000.0

-2014118.418442314

]

[

-1200000.0

-2000000.0

]

[

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]

[

-1100000.0

-2100000.0

]

[

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-2100000.0

]

[

-1200000.0

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]

geo_ref_points:

ll:

x: -1200000.0

y: -2100000.0

lr:

x: -1100000.0

y: -2100000.0

ul:

x: -1200000.0

y: -2000000.0

ur:

x: -1100000.0

y: -2000000.0

spatial_reference: EPSG:3577

image:

bands:

edev:

path:

layer: edev

sdev:

path:

layer: sdev

bcdev:

path:

layer: bcdev

lineage:

algorithm:

version: 1.0.2

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/sc0554/annuals/mad_ls8_2020/

computation:

chunking:

x: 1000

y: 200

date_ranges:

end_date: 2021-01-01

step_size: 1y

start_date: 2020-01-01

stats_duration: 1y

input_region:

tiles: [

[

-12

-21

]

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_TMAD_NBART_{x}_{y}_{epoch_start:%Y%m%d}.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 gadi-cpu-clx-2548.gadi.nci.org.au 4.18.0-240.1.1.el8.nci.x86_64 #1 SMP Tue Dec 15 02:36:21 UTC 2020 x86_64

hostname: gadi-cpu-clx-2548.gadi.nci.org.au

software_versions:

python:

version: 3.6.10 | packaged by conda-forge | (default, Apr 24 2020, 16:44:11) [GCC 7.3.0]

datacube:

version: 1.8.3

repo_url: https://github.com/opendatacube/datacube-core.git

source_datasets:

statistics:

step: 1y

period: 1y