LS7_GM_NBART_-5_-36_20020101.nc

dataset of product ls7_nbart_geomedian_annual
Indexed by dra547 , created
Archived
for 1st January 2002

Fields 🔗

creation_time 2018-03-14 14:12:28 format NetCDF id e4d208d4-0328-41cc-b600-49c13b79e31e instrument ETM label • lat -32.947 to -32.02 🔍 lon 126.614 to 127.726 🔍 platform LANDSAT_7 product_type surface_reflectance_statistical_summary time 2002-01-01 00:00:00 to 2002-01-01 00:00:00 🔍

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LS7_ETM_NBART_3577_-5_-36_2002_v1493758095.nc#part=22
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LS7_ETM_NBART_3577_-5_-36_2002_v1493758095.nc#part=30
LS7_ETM_NBART_3577_-5_-36_2002_v1493758095.nc#part=0
LS7_ETM_NBART_3577_-5_-36_2002_v1493758095.nc#part=16
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LS7_GM_NBART_-5_-36_20020101.nc
ga_ls_landcover_class_cyear_2_1-0-0_au_2002-01-01

Location 🔗

file:///g/data/fk4/datacube/002/stats/geomedian/annual/ls7_gm/-5_-36/LS7_GM_NBART_-5_-36_20020101.nc

Metadata Document 🔗

RAW As Stac
id: e4d208d4-0328-41cc-b600-49c13b79e31e
product_type: surface_reflectance_statistical_summary
creation_dt: 2018-03-14T14:12:28.916653
platform:
code: LANDSAT_7
instrument:
name: ETM
format:
name: NetCDF
extent:
coord:
ll:
lat: -32.913418448860824
lon: 126.61363727082221
lr:
lat: -32.94737730536304
lon: 127.68999061819602
ul:
lat: -32.01979035889044
lon: 126.65865057186201
ur:
lat: -32.053419980048055
lon: 127.72602411235373
to_dt: 2002-01-01T00:00:00
from_dt: 2002-01-01T00:00:00
center_dt: 2002-01-01T00:00:00
grid_spatial:
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image:
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swir2:
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layer: swir2
lineage:
algorithm:
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version: 0.9a8
repo_url: https://github.com/GeoscienceAustralia/agdc_statistics.git
parameters:
configuration_file:
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masks: [
flags:
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contiguous: True
cloud_fmask: no_cloud
nir_saturated: False
red_saturated: False
blue_saturated: False
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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
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group_by: solar_day
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driver: NetCDF CF
chunking:
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time: 1
tile_size:
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resolution:
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dimension_order: [
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location: /g/data/u46/users/ia1511/Work/data/geomedian/output
computation:
chunking:
x: 2000
y: 2000
date_ranges:
end_date: 2004-01-01
step_size: 1y
start_date: 2001-01-01
stats_duration: 1y
output_products: [
name: ls7_nbart_geomedian_annual
metadata:
platform: LANDSAT-7
statistic: new_geomedian
product_type: surface_reflectance_statistical_summary
output_params:
zlib: True
fletcher32: True
statistic_args:
num_threads: 3
file_path_template: ls7_gm/ls7_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
publisher_email: earth.observation@ga.gov.au
keywords_vocabulary: GCMD
coverage_content_type: modelResult
machine:
uname: Linux r3550 3.10.0-693.17.1.el6.x86_64 #1 SMP Fri Feb 9 03:25:58 UTC 2018 x86_64
hostname: r3550
software_versions:
python:
version: 3.6.3 | packaged by conda-forge | (default, Nov 4 2017, 10:10:56) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
datacube:
version: 1.5.1+444.g249040b.dirty
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets:
statistics:
step: 1y
period: 1y