LS_TCW_PC_-15_-23_19870101

creation_dt 2018-11-26T05:50:13.280746 creation_time 2018-11-26 05:50:13 format NetCDF id 956eae86-5d95-4285-835b-25dde2ae03c3 instrument TM,ETM+,OLI label • lat -20.733 to -19.742 lon 117.492 to 118.553 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type tcw_percentile time 1987-01-01 00:00:00 to 1987-01-01 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/TCI/ls_tcw_percentiles/LS_TCW_PC_-15_-23_19870101_20181025.nc

Metadata Document 🔗

RAW As Stac

id: 956eae86-5d95-4285-835b-25dde2ae03c3

product_type: tcw_percentile

creation_dt: 2018-11-26T05:50:13.280746

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

format:

extent:

coord:

ll:

lat: -20.63475508625344

lon: 117.4921774387238

lr:

lat: -20.733150017989974

lon: 118.45187549676838

ul:

lat: -19.741682427684495

lon: 117.60072434199321

ur:

lat: -19.839526641727193

lon: 118.55335263381994

to_dt: 1987-01-01T00:00:00

from_dt: 1987-01-01T00:00:00

center_dt: 1987-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

-1500000.0

-2293116.21006212

]

[

-1500000.0

-2200000.0

]

[

-1400000.0

-2200000.0

]

[

-1400000.0

-2300000.0

]

[

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-2300000.0

]

[

-1500000.0

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]

geo_ref_points:

ll:

x: -1500000.0

y: -2300000.0

lr:

x: -1400000.0

y: -2300000.0

ul:

x: -1500000.0

y: -2200000.0

ur:

x: -1400000.0

y: -2200000.0

spatial_reference: EPSG:3577

image:

bands:

TCW_PC_10:

path:

layer: TCW_PC_10

TCW_PC_50:

path:

layer: TCW_PC_50

TCW_PC_90:

path:

layer: TCW_PC_90

lineage:

algorithm:

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: ls5_pq_albers

group_by: solar_day

fuse_func: datacube.helpers.ga_pq_fuser

measurement: pixelquality

]

product: ls5_nbart_albers

group_by: solar_day

measurements: [

blue

green

red

nir

swir1

swir2

]

source_filter:

product: ls5_level1_scene

gqa_iterative_mean_xy: [

-1

]

time: [

1995-01-01

2003-05-31

]

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

]

source_filter:

product: ls7_level1_scene

gqa_iterative_mean_xy: [

-1

]

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

]

source_filter:

product: ls8_level1_scene

gqa_iterative_mean_xy: [

-1

]

storage:

crs: EPSG:3577

driver: NetCDF CF

chunking:

x: 200

y: 200

time: 1

tile_size:

x: 100000.0

y: 100000.0

resolution:

x: 25

y: -25

dimension_order: [

time

]

location: /g/data/fk4/datacube/002/TCI/ls_tcw_percentiles/

computation:

chunking:

x: 1000

y: 1000

date_ranges:

end_date: 2018-10-25

start_date: 1987-01-01

input_region:

tile: [

-34

]

filter_product:

var_attributes:

TCW_PC_10:

long_name: Tasseled Cap Wetness Index 10th percentile

coverage_content_type: modelResult

TCW_PC_50:

long_name: Tasseled Cap Wetness Index 50th percentile

coverage_content_type: modelResult

TCW_PC_90:

long_name: Tasseled Cap Wetness Index 90th percentile

coverage_content_type: modelResult

output_products: [

metadata:

format:

platform:

code: LANDSAT_5,LANDSAT_7,LANDSAT_8

instrument:

statistic: external

product_type: tcw_percentile

output_params:

zlib: True

fletcher32: True

statistic_args:

q: [

]

impl: custom_stats.percentile_stats.TCIpercentile

category: wetness

per_pixel_metadata: [

source

observed_date

]

minimum_valid_observations: 3

file_path_template: LS_TCW_PC_{x}_{y}_{epoch_start:%Y%m%d}_{epoch_end:%Y%m%d}.nc

]

global_attributes:

title: Tasseled Cap Wetness Percentiles 25m 2.0.0

cmi_id: TCW_PERCENTILES_25_2.0.0

source: percentiles of tasseled cap wetness index v2.0.0

license: CC BY Attribution 4.0 International License

summary: The tasseled cap index percentiles provide statistical (10th, 50th and 90th percentile) summaries of the tasseled cap wetness index from 1987 to 2018. They are intended for use as inputs into classification algorithms to identify wetlands and characterise salt flats, clay pans, salt lakes and coastal land forms. The tasseled cap wetness transform translates the six spectral bands of Landsat into a single wetness index. The wetness index can be used to identify areas in the landscape that are potentially wetlands or groundwater dependent ecosystems. The tasseled cap wetness percentiles captures how the wetness index behaves over time. The percentiles are well suited to characterising wetlands, salt flats/salt lakes and coastal ecosystems. However, care should be applied when analysing the wetness index, as soil colour and fire scars can cause misleading results. Crist, E.P., 1985. A TM tasseled cap equivalent transformation for reflectance factor data. Remote Sensing of Environment, 17(3),pp.301-306.

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: - Crist, E.P., 1985. A TM tasseled cap equivalent transformation for reflectance factor data. Remote Sensing of Environment, 17(3), pp.301-306.

description: Tasseled Cap Wetness Percentile 25 metre, 100km tile, Australian Albers Equal Area projection (EPSG:3577)

institution: Commonwealth of Australia (Geoscience Australia)

cdm_data_type: Grid

product_suite: Tasseled Cap Index Stats 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: 2.0.0

publisher_email: earth.observation@ga.gov.au

keywords_vocabulary: GCMD

coverage_content_type: modelResult

machine:

uname: Linux r3703 3.10.0-862.14.4.el6.x86_64 #1 SMP Thu Sep 27 07:25:17 AEST 2018 x86_64

hostname: r3703

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: *

period: *