<del>LS7_TMAD_NBART_6_-40_20180101.nc</del>

creation_dt 2021-03-03T14:51:50.083519 creation_time 2021-03-03 14:51:50 format NetCDF id 0d447f19-b928-4158-b67b-e20e2fcab7da instrument ETM+ label • lat -36.461 to -35.51 lon 138.629 to 139.799 platform LANDSAT_7 product_type surface_reflectance_triple_mad time 2018-01-01 00:00:00 to 2018-01-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/stats/tmad/annual/ls7_mad/6_-40/LS7_TMAD_NBART_6_-40_20180101.nc

Metadata Document 🔗

RAW As Stac

id: 0d447f19-b928-4158-b67b-e20e2fcab7da

product_type: surface_reflectance_triple_mad

creation_dt: 2021-03-03T14:51:50.083519

platform:

code: LANDSAT_7

instrument:

format:

extent:

coord:

ll:

lat: -36.460520158477955

lon: 138.68724886634755

lr:

lat: -36.40938601536598

lon: 139.79922023062178

ul:

lat: -35.56047153483148

lon: 138.6294657454669

ur:

lat: -35.509907062299334

lon: 139.73187258988256

to_dt: 2018-01-01T00:00:00

from_dt: 2018-01-01T00:00:00

center_dt: 2018-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

600000.0

-4000000.0

]

[

600000.0

-3900000.0

]

[

700000.0

-3900000.0

]

[

700000.0

-4000000.0

]

[

600000.0

-4000000.0

]

geo_ref_points:

ll:

x: 600000.0

y: -4000000.0

lr:

x: 700000.0

y: -4000000.0

ul:

x: 600000.0

y: -3900000.0

ur:

x: 700000.0

y: -3900000.0

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: ls7_pq_albers

group_by: solar_day

fuse_func: datacube.helpers.ga_pq_fuser

measurement: pixelquality

]

product: ls7_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_ls7_2018/

computation:

chunking:

x: 1000

y: 200

date_ranges:

end_date: 2019-01-01

step_size: 1y

start_date: 2018-01-01

stats_duration: 1y

input_region:

tiles: [

[

-40

]

filter_product:

var_attributes:

output_products: [

metadata:

format:

platform:

code: LANDSAT_7

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: LS7_TMAD_NBART_{x}_{y}_{epoch_start:%Y%m%d}.nc

]

global_attributes:

title: LS7 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-1504.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-1504.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