<del>LS8_TMAD_NBART_-6_-33_20190101.nc</del>

creation_dt 2021-02-27T15:53:04.834489 creation_time 2021-02-27 15:53:04 format NetCDF id 6029ff6d-d54f-45d9-94f3-ecc6748c4750 instrument OLI label • lat -30.235 to -29.304 lon 125.697 to 126.789 platform LANDSAT_8 product_type surface_reflectance_triple_mad time 2019-01-01 00:00:00 to 2019-01-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/stats/tmad/annual/ls8_mad/-6_-33/LS8_TMAD_NBART_-6_-33_20190101.nc

Metadata Document 🔗

RAW As Stac

id: 6029ff6d-d54f-45d9-94f3-ecc6748c4750

product_type: surface_reflectance_triple_mad

creation_dt: 2021-02-27T15:53:04.834489

platform:

code: LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -30.195151061371682

lon: 125.69731250937507

lr:

lat: -30.235487609665515

lon: 126.74645849857204

ul:

lat: -29.304347279499147

lon: 125.74867154122174

ur:

lat: -29.344333803147297

lon: 126.7892892594974

to_dt: 2019-01-01T00:00:00

from_dt: 2019-01-01T00:00:00

center_dt: 2019-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

-600000.0

-3231643.4203867842

]

[

-600000.0

-3200000.0

]

[

-500000.0

-3200000.0

]

[

-500000.0

-3300000.0

]

[

-600000.0

-3300000.0

]

[

-600000.0

-3231643.4203867842

]

geo_ref_points:

ll:

x: -600000.0

y: -3300000.0

lr:

x: -500000.0

y: -3300000.0

ul:

x: -600000.0

y: -3200000.0

ur:

x: -500000.0

y: -3200000.0

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_2019/

computation:

chunking:

x: 1000

y: 200

date_ranges:

end_date: 2020-01-01

step_size: 1y

start_date: 2019-01-01

stats_duration: 1y

input_region:

tiles: [

[

-6

-33

]

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-1077.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-1077.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