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
2015-05-16 09:33:27	ga_ls8c_ard_3-0-0_093073_2015-05-16_final
2015-05-16 09:33:51	ga_ls8c_ard_3-0-0_093074_2015-05-16_final
2015-05-16 11:12:20	ga_ls8c_ard_3-0-0_109073_2015-05-16_final
2015-05-16 11:12:44	ga_ls8c_ard_3-0-0_109074_2015-05-16_final
2015-05-17 11:56:01	ga_ls8c_ard_3-0-0_116074_2015-05-17_final
2015-05-18 09:21:07	ga_ls8c_ard_3-0-0_091073_2015-05-17_final
2015-05-18 09:21:31	ga_ls8c_ard_3-0-0_091074_2015-05-17_final
2015-05-18 11:00:00	ga_ls8c_ard_3-0-0_107073_2015-05-18_final
2015-05-18 11:00:24	ga_ls8c_ard_3-0-0_107074_2015-05-18_final
2015-05-19 10:04:23	ga_ls8c_ard_3-0-0_098073_2015-05-19_final
2015-05-19 10:04:47	ga_ls8c_ard_3-0-0_098074_2015-05-19_final
2015-05-19 11:43:40	ga_ls8c_ard_3-0-0_114074_2015-05-19_final
2015-06-11 10:10:46	ga_ls8c_ard_3-0-0_099073_2015-06-11_final
2015-06-11 10:11:10	ga_ls8c_ard_3-0-0_099074_2015-06-11_final
2015-06-11 11:49:40	ga_ls8c_ard_3-0-0_115073_2015-06-11_final
2015-06-11 11:50:03	ga_ls8c_ard_3-0-0_115074_2015-06-11_final
2015-06-12 09:15:34	ga_ls8c_ard_3-0-0_090074_2015-06-11_final
2015-06-12 10:54:03	ga_ls8c_ard_3-0-0_106073_2015-06-12_final
2015-06-12 10:54:27	ga_ls8c_ard_3-0-0_106074_2015-06-12_final
2015-06-13 09:58:26	ga_ls8c_ard_3-0-0_097073_2015-06-13_final
2015-06-13 09:58:50	ga_ls8c_ard_3-0-0_097074_2015-06-13_final
2015-06-13 11:37:19	ga_ls8c_ard_3-0-0_113073_2015-06-13_final
2015-06-13 11:37:43	ga_ls8c_ard_3-0-0_113074_2015-06-13_final
2019-07-31 10:17:45	ga_ls8c_ard_3-1-0_100073_2019-07-31_final
2019-07-31 10:18:09	ga_ls8c_ard_3-1-0_100074_2019-07-31_final
2019-07-31 11:57:02	ga_ls8c_ard_3-1-0_116074_2019-07-31_final
2019-08-01 09:22:08	ga_ls8c_ard_3-1-0_091073_2019-07-31_final
2019-08-01 09:22:32	ga_ls8c_ard_3-1-0_091074_2019-07-31_final
2019-08-01 11:01:01	ga_ls8c_ard_3-1-0_107073_2019-08-01_final
2019-08-01 11:01:25	ga_ls8c_ard_3-1-0_107074_2019-08-01_final
2019-08-02 10:05:24	ga_ls8c_ard_3-1-0_098073_2019-08-02_final
2019-08-02 10:05:48	ga_ls8c_ard_3-1-0_098074_2019-08-02_final
2019-08-02 11:44:17	ga_ls8c_ard_3-1-0_114073_2019-08-02_final
2019-08-02 11:44:41	ga_ls8c_ard_3-1-0_114074_2019-08-02_final
2019-08-29 09:47:00	ga_ls8c_ard_3-1-0_095073_2019-08-29_final
2019-08-29 09:47:23	ga_ls8c_ard_3-1-0_095074_2019-08-29_final
2019-08-29 11:25:53	ga_ls8c_ard_3-1-0_111073_2019-08-29_final
2019-08-29 11:26:17	ga_ls8c_ard_3-1-0_111074_2019-08-29_final
2019-08-30 10:30:15	ga_ls8c_ard_3-1-0_102073_2019-08-30_final
2019-08-30 10:30:39	ga_ls8c_ard_3-1-0_102074_2019-08-30_final
2019-09-21 09:53:17	ga_ls8c_ard_3-1-0_096073_2019-09-21_final
2019-09-21 09:53:41	ga_ls8c_ard_3-1-0_096074_2019-09-21_final
2019-09-21 11:32:10	ga_ls8c_ard_3-1-0_112073_2019-09-21_final
2019-09-21 11:32:34	ga_ls8c_ard_3-1-0_112074_2019-09-21_final
2019-09-22 10:36:33	ga_ls8c_ard_3-1-0_103073_2019-09-22_final
2019-09-22 10:36:57	ga_ls8c_ard_3-1-0_103074_2019-09-22_final
2019-10-06 09:10:29	ga_ls8c_ard_3-1-0_089074_2019-10-05_final
2019-10-06 10:48:58	ga_ls8c_ard_3-1-0_105073_2019-10-06_final
2019-10-06 10:49:22	ga_ls8c_ard_3-1-0_105074_2019-10-06_final
2019-10-07 09:53:21	ga_ls8c_ard_3-1-0_096073_2019-10-07_final
2019-10-07 09:53:45	ga_ls8c_ard_3-1-0_096074_2019-10-07_final
2019-10-07 11:32:14	ga_ls8c_ard_3-1-0_112073_2019-10-07_final
2019-10-07 11:32:38	ga_ls8c_ard_3-1-0_112074_2019-10-07_final
2019-10-08 10:36:37	ga_ls8c_ard_3-1-0_103073_2019-10-08_final
2019-10-08 10:37:01	ga_ls8c_ard_3-1-0_103074_2019-10-08_final
2019-11-01 09:47:11	ga_ls8c_ard_3-1-0_095073_2019-11-01_final
2019-11-01 09:47:35	ga_ls8c_ard_3-1-0_095074_2019-11-01_final
2019-11-01 11:26:05	ga_ls8c_ard_3-1-0_111073_2019-11-01_final
2019-11-01 11:26:28	ga_ls8c_ard_3-1-0_111074_2019-11-01_final
2019-11-02 10:30:27	ga_ls8c_ard_3-1-0_102073_2019-11-02_final
2019-11-02 10:30:51	ga_ls8c_ard_3-1-0_102074_2019-11-02_final
2019-11-03 09:34:50	ga_ls8c_ard_3-1-0_093073_2019-11-03_final
2019-11-03 09:35:14	ga_ls8c_ard_3-1-0_093074_2019-11-03_final
2019-11-03 11:13:43	ga_ls8c_ard_3-1-0_109073_2019-11-03_final
2019-11-03 11:14:07	ga_ls8c_ard_3-1-0_109074_2019-11-03_final
2019-11-08 09:53:21	ga_ls8c_ard_3-1-0_096073_2019-11-08_final
2019-11-08 09:53:45	ga_ls8c_ard_3-1-0_096074_2019-11-08_final
2019-11-08 11:32:14	ga_ls8c_ard_3-1-0_112073_2019-11-08_final
2019-11-08 11:32:38	ga_ls8c_ard_3-1-0_112074_2019-11-08_final
2019-11-09 10:36:37	ga_ls8c_ard_3-1-0_103073_2019-11-09_final
2019-11-09 10:37:01	ga_ls8c_ard_3-1-0_103074_2019-11-09_final
2023-06-07 09:33:50	ga_ls8c_ard_3-2-1_093073_2023-06-07_final
2023-06-07 09:34:14	ga_ls8c_ard_3-2-1_093074_2023-06-07_final
2023-06-07 11:12:43	ga_ls8c_ard_3-2-1_109073_2023-06-07_final
2023-06-07 11:13:07	ga_ls8c_ard_3-2-1_109074_2023-06-07_final
2023-06-08 10:17:06	ga_ls8c_ard_3-2-1_100073_2023-06-08_final
2023-06-08 10:17:30	ga_ls8c_ard_3-2-1_100074_2023-06-08_final
2023-06-09 09:21:29	ga_ls8c_ard_3-2-1_091073_2023-06-08_final
2023-06-09 09:21:53	ga_ls8c_ard_3-2-1_091074_2023-06-08_final
2023-06-09 11:00:22	ga_ls8c_ard_3-2-1_107073_2023-06-09_final
2023-06-09 11:00:46	ga_ls8c_ard_3-2-1_107074_2023-06-09_final
2023-06-10 10:04:46	ga_ls8c_ard_3-2-1_098073_2023-06-10_final
2023-06-10 10:05:10	ga_ls8c_ard_3-2-1_098074_2023-06-10_final
2023-06-12 11:31:18	ga_ls8c_ard_3-2-1_112073_2023-06-12_final
2023-06-12 11:31:42	ga_ls8c_ard_3-2-1_112074_2023-06-12_final
2023-06-13 10:35:41	ga_ls8c_ard_3-2-1_103073_2023-06-13_final
2023-06-13 10:36:05	ga_ls8c_ard_3-2-1_103074_2023-06-13_final
2023-06-14 09:40:04	ga_ls8c_ard_3-2-1_094073_2023-06-14_final
2023-06-14 09:40:28	ga_ls8c_ard_3-2-1_094074_2023-06-14_final
2023-07-11 11:00:40	ga_ls8c_ard_3-2-1_107073_2023-07-11_final
2023-07-11 11:01:04	ga_ls8c_ard_3-2-1_107074_2023-07-11_final
2023-07-12 10:05:03	ga_ls8c_ard_3-2-1_098073_2023-07-12_final
2023-07-12 10:05:26	ga_ls8c_ard_3-2-1_098074_2023-07-12_final
2023-07-12 11:44:20	ga_ls8c_ard_3-2-1_114074_2023-07-12_final
2023-07-13 09:09:49	ga_ls8c_ard_3-2-1_089074_2023-07-12_final
2023-07-13 10:48:18	ga_ls8c_ard_3-2-1_105073_2023-07-13_final
2023-07-13 10:48:42	ga_ls8c_ard_3-2-1_105074_2023-07-13_final
2023-07-14 09:52:41	ga_ls8c_ard_3-2-1_096073_2023-07-14_final
2023-07-14 09:53:05	ga_ls8c_ard_3-2-1_096074_2023-07-14_final
2023-07-14 11:31:34	ga_ls8c_ard_3-2-1_112073_2023-07-14_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

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