<del>LS8_TMAD_NBART_3_-38_20180101.nc</del>

creation_dt 2019-06-05T02:55:22.730838 creation_time 2019-06-05 02:55:22 format NetCDF id 8488a2f8-658b-4d05-929c-385a57a1248f instrument OLI label • lat -34.767 to -33.843 lon 135.261 to 136.384 platform LANDSAT_8 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/ls8_mad/3_-38/LS8_TMAD_NBART_3_-38_20180101.nc

Metadata Document 🔗

RAW As Stac

id: 8488a2f8-658b-4d05-929c-385a57a1248f

product_type: surface_reflectance_triple_mad

creation_dt: 2019-06-05T02:55:22.730838

platform:

code: LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -34.7665305785793

lon: 135.28851190671958

lr:

lat: -34.73955930395704

lon: 136.383929674985

ul:

lat: -33.869358888687636

lon: 135.2605419158857

ur:

lat: -33.84266896911854

lon: 136.34665539569045

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: [

[

300000.0

-3700000.2114011254

]

[

400000.0

-3700000.0

]

[

400000.0

-3800000.0

]

[

300000.0

-3800000.0

]

[

300000.0

-3700000.2114011254

]

geo_ref_points:

ll:

x: 300000.0

y: -3800000.0

lr:

x: 400000.0

y: -3800000.0

ul:

x: 300000.0

y: -3700000.0

ur:

x: 400000.0

y: -3700000.0

spatial_reference: EPSG:3577

image:

bands:

edev:

path:

layer: edev

sdev:

path:

layer: sdev

bcdev:

path:

layer: bcdev

lineage:

algorithm:

version: 0.9b5

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/bt2744/work/data/mad-annual/prod/ls8/

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: [

[

-38

]

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_ternary_mad-{epoch_start:%Y%m%d}-{epoch_end:%Y%m%d}_{x}_{y}.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 r3363 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64

hostname: r3363

software_versions:

python:

version: 3.6.7 | packaged by conda-forge | (default, Feb 20 2019, 02:51:38) [GCC 7.3.0]

datacube:

version: 1.6.2+398.g0e94625d

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

source_datasets:

statistics:

step: 1y

period: 1y