<del>LS8_GM_NBART_-1_-13_20190101.nc</del>

creation_time 2020-02-21 02:42:09 format NetCDF id 36564ccf-129c-43b0-af65-dd38bf405468 instrument OLI label • lat -12.329 to -11.404 lon 131.097 to 132.0 platform LANDSAT_8 product_type surface_reflectance_statistical_summary time 2019-01-01 00:00:00 to 2019-01-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/stats/geomedian/annual/ls8_gm/-1_-13/LS8_GM_NBART_-1_-13_20190101.nc

Metadata Document 🔗

RAW As Stac

id: 36564ccf-129c-43b0-af65-dd38bf405468

product_type: surface_reflectance_statistical_summary

creation_dt: 2020-02-21T02:42:09.378230

platform:

code: LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -12.325836252524423

lon: 131.09728517195447

lr:

lat: -12.32908884535904

lon: 131.99999999999997

ul:

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lon: 131.10361884432052

ur:

lat: -11.406748549794886

lon: 131.99999999999997

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

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

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

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image:

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lineage:

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version: 1.0.1

repo_url: https://github.com/GeoscienceAustralia/datacube-stats.git

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flags:

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contiguous: True

cloud_fmask: no_cloud

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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

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product: ls8_nbart_albers

group_by: solar_day

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location: ./output

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chunking:

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date_ranges:

end_date: 2020-01-01

step_size: 1y

start_date: 2019-01-01

stats_duration: 1y

input_region: null

filter_product:

var_attributes:

output_products: [

metadata:

format:

platform:

code: LANDSAT_8

instrument:

statistic: new_geomedian

product_type: surface_reflectance_statistical_summary

output_params:

zlib: True

fletcher32: True

statistic_args:

num_threads: 24

file_path_template: ls8_gm/{x}_{y}/LS8_GM_NBART_{x}_{y}_{epoch_start:%Y%m%d}.nc

]

global_attributes:

title: Surface Reflectance Geometric Median

source: geometric median v2017 of surface reflectance NBAR+T

license: CC BY Attribution 4.0 International License

summary: The surface reflectance geometric median (geomedian) is a pixel composite mosaic of a time series of earth observations. The value of a pixel in a geomedian image is the statistical median of all observations for that pixel from a period of time. For example the 2016 Landsat 8 geomedian image over an area will be the median of Landsat 8 pixels observed for that area in 2016. The geometric median products are available as annual datasets for years since 1987. Each annual composite is created from one calendar year of surface reflectance and for one sensor, i.e. Thematic Mapper (Landsat 5), Enhanced Thematic Mapper (Landsat 7) or Operational Land Imager (Landsat 8). The algorithm considers concurrent spectral measurements as a multi-dimensional set and outputs a multi-dimensional median that maintains the relationships among the measurements. This provides a median of the physical conditions measured by the earth observations used to create it, and provides a good representation of a typical pixel observation devoid of outliers. More information on the algorithm can be found in the article below: - Roberts, D., Mueller, N., & Mcintyre, A. (2017). High-Dimensional Pixel Composites From Earth Observation Time Series. IEEE Transactions on Geoscience and Remote Sensing, 55(11), 6254-6264. https://doi.org/10.1109/tgrs.2017.2723896

keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,REFLECTANCE,ETM+,TM,OLI,EARTH SCIENCE

platform: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument: TM,ETM+,OLI

references: - Roberts, D., Mueller, N., & Mcintyre, A. (2017). High-Dimensional Pixel Composites From Earth Observation Time Series. IEEE Transactions on Geoscience and Remote Sensing, 55(11), 6254-6264. https://doi.org/10.1109/tgrs.2017.2723896

description: Surface Reflectance Geometric Median 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577)

institution: Commonwealth of Australia (Geoscience Australia)

cdm_data_type: Grid

product_suite: Surface Reflectance Geometric Median 25m

publisher_url: http://www.ga.gov.au

acknowledgment: - Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download.

publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia

product_version: 2.0

publisher_email: earth.observation@ga.gov.au

keywords_vocabulary: GCMD

coverage_content_type: modelResult

machine:

uname: Linux gadi-cpu-clx-2057.gadi.nci.org.au 4.18.0-80.11.2.el8_0.x86_64 #1 SMP Tue Sep 24 11:32:19 UTC 2019 x86_64

hostname: gadi-cpu-clx-2057.gadi.nci.org.au

software_versions:

python:

version: 3.6.7 | packaged by conda-forge | (default, Nov 6 2019, 16:19:42) [GCC 7.3.0]

datacube:

version: 1.7+253.ga031f3f4

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

source_datasets:

statistics:

step: 1y

period: 1y