LS7_TMAD_NBART_14_-36_20010101.nc

dataset of product ls7_nbart_tmad_annual
Indexed by dra547 , created
Archived
for 1st January 2001

Fields 🔗

creation_time 2018-12-29 04:51:05 🔍 format NetCDF 🔍 id 59bf5813-8d2e-44d8-b585-00186ce973b2 🔍 instrument ETM+ label • 🔍 lat -32.271 to -31.276 🔍 lon 146.897 to 148.083 🔍 platform LANDSAT_7 product_type surface_reflectance_triple_mad time 2001-01-01 00:00:00 to 2001-01-01 00:00:00 🔍

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LS7_ETM_NBART_3577_14_-36_2001_v1493758140.nc#part=59
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LS7_ETM_NBART_3577_14_-36_2001_v1493758140.nc#part=44
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LS7_ETM_PQ_3577_14_-36_2001_v1501877803.nc#part=37
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LS7_ETM_NBART_3577_14_-36_2001_v1493758140.nc#part=51
LS7_ETM_NBART_3577_14_-36_2001_v1493758140.nc#part=50
LS7_ETM_PQ_3577_14_-36_2001_v1501877803.nc#part=42
LS7_ETM_NBART_3577_14_-36_2001_v1493758140.nc#part=31
LS7_ETM_PQ_3577_14_-36_2001_v1501877803.nc#part=34
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LS7_TMAD_NBART_14_-36_20010101.nc
ga_ls_landcover_class_cyear_2_1-0-0_au_2001-01-01

Location 🔗

file:///g/data/fk4/datacube/002/stats/tmad/annual/ls7_mad/14_-36/LS7_TMAD_NBART_14_-36_20010101.nc

Metadata Document 🔗

RAW As Stac
id: 59bf5813-8d2e-44d8-b585-00186ce973b2
product_type: surface_reflectance_triple_mad
creation_dt: 2018-12-29T04:51:05.669218
platform:
code: LANDSAT_7
instrument:
name: ETM+
format:
name: NetCDF
extent:
coord:
ll:
lat: -32.27059796266624
lon: 147.02115411496487
lr:
lat: -32.162026317057666
lon: 148.08316416704355
ul:
lat: -31.383098988584862
lon: 146.8966175701107
ur:
lat: -31.27554343271214
lon: 147.95000104809344
to_dt: 2001-01-01T00:00:00
from_dt: 2001-01-01T00:00:00
center_dt: 2001-01-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1400000.0
-3542301.0393403894
]
[
1400000.0
-3500000.0
]
[
1500000.0
-3500000.0
]
[
1500000.0
-3600000.0
]
[
1400000.0
-3600000.0
]
[
1400000.0
-3542301.0393403894
]
]
]
geo_ref_points:
ll:
x: 1400000.0
y: -3600000.0
lr:
x: 1500000.0
y: -3600000.0
ul:
x: 1400000.0
y: -3500000.0
ur:
x: 1500000.0
y: -3500000.0
spatial_reference: EPSG:3577
image:
bands:
edev:
path:
layer: edev
sdev:
path:
layer: sdev
bcdev:
path:
layer: bcdev
lineage:
algorithm:
name: datacube-stats
version: 0.9b4
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
y
x
]
location: /g/data/u46/users/bt2744/work/data/mad-annual/prod/ls7/
computation:
chunking:
x: 1000
y: 200
date_ranges:
end_date: 2018-01-01
step_size: 1y
start_date: 1998-01-01
stats_duration: 1y
input_region:
tiles: [
[
14
-36
]
]
filter_product:
var_attributes:
output_products: [
name: ls7_nbart_tmad_annual
metadata:
format:
name: NetCDF
platform:
code: LANDSAT_7
instrument:
name: ETM+
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_ternary_mad-{epoch_start:%Y%m%d}-{epoch_end:%Y%m%d}_{x}_{y}.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 r4362 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64
hostname: r4362
software_versions:
python:
version: 3.6.6 | packaged by conda-forge | (default, Oct 12 2018, 14:08:43) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
datacube:
version: 1.6.1+72.gdfc6b47a
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets:
statistics:
step: 1y
period: 1y