<del>LS7_TMAD_NBART_-17_-35

creation_dt 2021-03-02T16:25:02.544984 creation_time 2021-03-02 16:25:02 format NetCDF id 06890723-c0b5-4c1b-a695-b6053337c90c instrument ETM+ label • lat -31.161 to -30.155 lon 113.95 to 115.138 platform LANDSAT_7 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/ls7_mad/-17_-35/LS7_TMAD_NBART_-17_-35_20190101.nc

Metadata Document 🔗

RAW As Stac

id: 06890723-c0b5-4c1b-a695-b6053337c90c

product_type: surface_reflectance_triple_mad

creation_dt: 2021-03-02T16:25:02.544984

platform:

code: LANDSAT_7

instrument:

format:

extent:

coord:

ll:

lat: -31.03860334389011

lon: 113.9498936557889

lr:

lat: -31.160703046383492

lon: 114.99879097686147

ul:

lat: -30.154988991150333

lon: 114.09769935401572

ur:

lat: -30.275998866472463

lon: 115.13821535180497

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: [

[

-1700000.0

-3500000.0

]

[

-1700000.0

-3400000.0

]

[

-1600000.0

-3400000.0

]

[

-1600000.0

-3500000.0

]

[

-1700000.0

-3500000.0

]

geo_ref_points:

ll:

x: -1700000.0

y: -3500000.0

lr:

x: -1600000.0

y: -3500000.0

ul:

x: -1700000.0

y: -3400000.0

ur:

x: -1600000.0

y: -3400000.0

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_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: [

[

-17

-35

]

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-2085.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-2085.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