Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2013-04-20 11:40:15	ga_ls8c_ard_3-0-0_113074_2013-04-20_final
2013-04-20 11:42:14	ga_ls8c_ard_3-0-0_113079_2013-04-20_final
2013-07-09 11:40:26	ga_ls8c_ard_3-0-0_113074_2013-07-09_final
2013-08-26 11:42:29	ga_ls8c_ard_3-0-0_113079_2013-08-26_final
2013-10-13 11:42:19	ga_ls8c_ard_3-0-0_113079_2013-10-13_final
2013-10-29 11:40:09	ga_ls8c_ard_3-0-0_113074_2013-10-29_final
2013-11-30 11:42:04	ga_ls8c_ard_3-0-0_113079_2013-11-30_final
2013-12-16 11:39:58	ga_ls8c_ard_3-0-0_113074_2013-12-16_final
2014-03-22 11:40:50	ga_ls8c_ard_3-0-0_113079_2014-03-22_final
2014-05-25 11:37:58	ga_ls8c_ard_3-0-0_113074_2014-05-25_final
2014-07-12 11:40:18	ga_ls8c_ard_3-0-0_113079_2014-07-12_final
2014-07-28 11:38:22	ga_ls8c_ard_3-0-0_113074_2014-07-28_final
2014-08-13 11:40:30	ga_ls8c_ard_3-0-0_113079_2014-08-13_final
2014-08-29 11:38:31	ga_ls8c_ard_3-0-0_113074_2014-08-29_final
2014-08-29 11:40:31	ga_ls8c_ard_3-0-0_113079_2014-08-29_final
2014-09-30 11:38:36	ga_ls8c_ard_3-0-0_113074_2014-09-30_final
2014-10-16 11:38:41	ga_ls8c_ard_3-0-0_113074_2014-10-16_final
2014-12-03 11:38:38	ga_ls8c_ard_3-0-0_113074_2014-12-03_final
2014-12-19 11:38:34	ga_ls8c_ard_3-0-0_113074_2014-12-19_final
2015-01-20 11:38:26	ga_ls8c_ard_3-0-0_113074_2015-01-20_final
2015-06-13 11:37:43	ga_ls8c_ard_3-0-0_113074_2015-06-13_final
2015-06-13 11:39:43	ga_ls8c_ard_3-0-0_113079_2015-06-13_final
2015-06-29 11:37:49	ga_ls8c_ard_3-0-0_113074_2015-06-29_final
2015-07-15 11:39:59	ga_ls8c_ard_3-0-0_113079_2015-07-15_final
2015-07-31 11:38:04	ga_ls8c_ard_3-0-0_113074_2015-07-31_final
2015-09-17 11:38:24	ga_ls8c_ard_3-0-0_113074_2015-09-17_final
2015-10-03 11:40:28	ga_ls8c_ard_3-0-0_113079_2015-10-03_final
2015-10-19 11:38:29	ga_ls8c_ard_3-0-0_113074_2015-10-19_final
2015-10-19 11:40:29	ga_ls8c_ard_3-0-0_113079_2015-10-19_final
2015-11-04 11:40:33	ga_ls8c_ard_3-0-0_113079_2015-11-04_final
2015-12-22 11:40:35	ga_ls8c_ard_3-0-0_113079_2015-12-22_final
2016-01-07 11:38:31	ga_ls8c_ard_3-0-0_113074_2016-01-07_final
2016-01-07 11:40:30	ga_ls8c_ard_3-0-0_113079_2016-01-07_final
2016-01-23 11:40:31	ga_ls8c_ard_3-0-0_113079_2016-01-23_final
2016-02-08 11:40:27	ga_ls8c_ard_3-0-0_113079_2016-02-08_final
2016-03-11 11:40:18	ga_ls8c_ard_3-0-0_113079_2016-03-11_final
2016-03-27 11:38:09	ga_ls8c_ard_3-0-0_113074_2016-03-27_final
2016-04-28 11:38:00	ga_ls8c_ard_3-0-0_113074_2016-04-28_final
2016-05-14 11:37:59	ga_ls8c_ard_3-0-0_113074_2016-05-14_final
2016-05-14 11:39:59	ga_ls8c_ard_3-0-0_113079_2016-05-14_final
2016-05-30 11:40:06	ga_ls8c_ard_3-0-0_113079_2016-05-30_final
2016-07-17 11:38:24	ga_ls8c_ard_3-0-0_113074_2016-07-17_final
2016-07-17 11:40:24	ga_ls8c_ard_3-0-0_113079_2016-07-17_final
2016-08-18 11:40:32	ga_ls8c_ard_3-0-0_113079_2016-08-18_final
2016-10-05 11:40:43	ga_ls8c_ard_3-0-0_113079_2016-10-05_final
2016-10-21 11:40:47	ga_ls8c_ard_3-0-0_113079_2016-10-21_final
2016-12-08 11:38:45	ga_ls8c_ard_3-0-0_113074_2016-12-08_final
2016-12-08 11:40:45	ga_ls8c_ard_3-0-0_113079_2016-12-08_final
2016-12-24 11:40:41	ga_ls8c_ard_3-0-0_113079_2016-12-24_final
2017-03-14 11:40:11	ga_ls8c_ard_3-0-0_113079_2017-03-14_final
2017-03-30 11:40:02	ga_ls8c_ard_3-0-0_113079_2017-03-30_final
2017-04-15 11:37:54	ga_ls8c_ard_3-0-0_113074_2017-04-15_final
2017-05-17 11:39:54	ga_ls8c_ard_3-0-0_113079_2017-05-17_final
2017-06-18 11:38:10	ga_ls8c_ard_3-0-0_113074_2017-06-18_final
2017-06-18 11:40:10	ga_ls8c_ard_3-0-0_113079_2017-06-18_final
2017-08-05 11:40:26	ga_ls8c_ard_3-0-0_113079_2017-08-05_final
2017-08-21 11:40:31	ga_ls8c_ard_3-0-0_113079_2017-08-21_final
2017-09-06 11:40:33	ga_ls8c_ard_3-0-0_113079_2017-09-06_final
2017-10-24 11:38:45	ga_ls8c_ard_3-0-0_113074_2017-10-24_final
2017-12-11 11:40:35	ga_ls8c_ard_3-0-0_113079_2017-12-11_final
2017-12-27 11:40:37	ga_ls8c_ard_3-0-0_113079_2017-12-27_final
2018-01-12 11:40:31	ga_ls8c_ard_3-0-0_113079_2018-01-12_final
2018-02-13 11:38:16	ga_ls8c_ard_3-0-0_113074_2018-02-13_final
2018-03-17 11:38:00	ga_ls8c_ard_3-0-0_113074_2018-03-17_final
2018-03-17 11:40:00	ga_ls8c_ard_3-0-0_113079_2018-03-17_final
2018-04-18 11:39:43	ga_ls8c_ard_3-0-0_113079_2018-04-18_final
2018-05-04 11:37:35	ga_ls8c_ard_3-0-0_113074_2018-05-04_final
2018-05-20 11:37:24	ga_ls8c_ard_3-0-0_113074_2018-05-20_final
2018-06-05 11:39:13	ga_ls8c_ard_3-0-0_113079_2018-06-05_final
2018-06-21 11:39:24	ga_ls8c_ard_3-0-0_113079_2018-06-21_final
2018-07-07 11:39:33	ga_ls8c_ard_3-0-0_113079_2018-07-07_final
2018-07-23 11:39:40	ga_ls8c_ard_3-0-0_113079_2018-07-23_final
2018-08-24 11:39:57	ga_ls8c_ard_3-0-0_113079_2018-08-24_final
2018-09-25 11:40:07	ga_ls8c_ard_3-0-0_113079_2018-09-25_final
2019-01-10 09:44:04	ga_ls8c_ard_3-0-0_094082_2019-01-10_final
2019-01-15 11:38:41	ga_ls8c_ard_3-0-0_113075_2019-01-15_final
2019-01-15 11:39:05	ga_ls8c_ard_3-0-0_113076_2019-01-15_final
2019-01-15 11:41:28	ga_ls8c_ard_3-0-0_113082_2019-01-15_final
2019-01-26 09:44:00	ga_ls8c_ard_3-0-0_094082_2019-01-26_final
2019-01-26 09:45:12	ga_ls8c_ard_3-0-0_094085_2019-01-26_final
2019-01-31 11:35:25	ga_ls8c_ard_3-0-0_113067_2019-01-31_final
2019-01-31 11:39:01	ga_ls8c_ard_3-0-0_113076_2019-01-31_final
2019-01-31 11:40:13	ga_ls8c_ard_3-0-0_113079_2019-01-31_final
2019-01-31 11:41:24	ga_ls8c_ard_3-0-0_113082_2019-01-31_final
2019-02-16 11:38:59	ga_ls8c_ard_3-0-0_113076_2019-02-16_final
2019-02-16 11:40:11	ga_ls8c_ard_3-0-0_113079_2019-02-16_final
2019-02-27 09:41:31	ga_ls8c_ard_3-0-0_094076_2019-02-27_final
2019-03-04 11:38:55	ga_ls8c_ard_3-0-0_113076_2019-03-04_final
2019-04-21 11:38:40	ga_ls8c_ard_3-0-0_113076_2019-04-21_final
2019-05-02 09:41:15	ga_ls8c_ard_3-0-0_094076_2019-05-02_final
2019-05-07 11:35:08	ga_ls8c_ard_3-0-0_113067_2019-05-07_final
2019-05-07 11:38:20	ga_ls8c_ard_3-0-0_113075_2019-05-07_final
2019-05-07 11:38:43	ga_ls8c_ard_3-0-0_113076_2019-05-07_final
2019-05-07 11:39:07	ga_ls8c_ard_3-0-0_113077_2019-05-07_final
2019-05-07 11:40:19	ga_ls8c_ard_3-0-0_113080_2019-05-07_final
2019-05-18 09:41:25	ga_ls8c_ard_3-0-0_094076_2019-05-18_final
2019-05-23 11:38:06	ga_ls8c_ard_3-0-0_113074_2019-05-23_final
2019-05-23 11:38:30	ga_ls8c_ard_3-0-0_113075_2019-05-23_final
2019-05-23 11:39:18	ga_ls8c_ard_3-0-0_113077_2019-05-23_final
2019-05-23 11:39:41	ga_ls8c_ard_3-0-0_113078_2019-05-23_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

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