LS5_GM_NBART_-5_-25_20060101.nc
dataset of product ls5_nbart_geomedian_annual
Indexed by dra547
,
created
Archived
for
1st January 2006
Fields 🔗
creation_time
2018-07-06 12:41:40 🔍
format
NetCDF 🔍
id
62e1e23e-dfec-4735-af03-75a8cbb3b96f 🔍
instrument
TM
label
• 🔍
lat
-23.135 to -22.21 🔍
lon
127.071 to 128.086 🔍
platform
LANDSAT_5
product_type
surface_reflectance_statistical_summary
time
2006-01-01 00:00:00 to 2006-01-01 00:00:00 🔍
Location 🔗
Metadata Document 🔗
id:
62e1e23e-dfec-4735-af03-75a8cbb3b96f
product_type:
surface_reflectance_statistical_summary
creation_dt:
2018-07-06T12:41:40.470522
platform:
code:
LANDSAT_5
instrument:
name:
TM
format:
name:
NetCDF
extent:
coord:
ll:
lat:
-23.10429034503107
lon:
127.07061494742008
lr:
lat:
-23.135340964238043
lon:
128.0557874291606
ul:
lat:
-22.210098205413736
lon:
127.10834471933683
ur:
lat:
-22.24095160798584
lon:
128.0859873009359
to_dt:
2006-01-01T00:00:00
from_dt:
2006-01-01T00:00:00
center_dt:
2006-01-01T00:00:00
grid_spatial:
projection:
valid_data:
type:
Polygon
coordinates:
[
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lineage:
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repo_url:
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configuration_file:
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masks:
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flags:
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cloud_fmask:
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red_saturated:
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blue_saturated:
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dimension_order:
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location:
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computation:
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x:
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y:
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date_ranges:
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name:
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metadata:
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name:
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platform:
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instrument:
name:
TM
statistic:
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product_type:
surface_reflectance_statistical_summary
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file_path_template:
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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:
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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
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modelResult
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Linux r2653 3.10.0-862.3.3.el6.x86_64 #1 SMP Wed Jun 27 18:22:35 AEST 2018 x86_64
hostname:
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software_versions:
python:
version:
3.6.5 | packaged by conda-forge | (default, Apr 6 2018, 13:39:56)
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datacube:
version:
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repo_url:
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source_datasets:
statistics:
step:
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period:
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