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
2013-08-20 10:37:52	ga_ls8c_ard_3-0-0_103072_2013-08-20_final
2013-08-22 10:25:31	ga_ls8c_ard_3-1-0_101072_2013-08-22_final
2015-02-16 09:40:02	ga_ls8c_ard_3-0-0_094072_2015-02-16_final
2015-02-16 11:18:55	ga_ls8c_ard_3-0-0_110072_2015-02-16_final
2015-02-17 10:23:18	ga_ls8c_ard_3-0-0_101072_2015-02-17_final
2015-02-18 09:27:40	ga_ls8c_ard_3-0-0_092072_2015-02-17_final
2015-02-18 11:06:33	ga_ls8c_ard_3-0-0_108072_2015-02-18_final
2015-02-19 10:10:56	ga_ls8c_ard_3-0-0_099072_2015-02-19_final
2015-03-06 11:06:28	ga_ls8c_ard_3-0-0_108072_2015-03-06_final
2015-03-07 10:10:50	ga_ls8c_ard_3-0-0_099072_2015-03-07_final
2015-03-08 10:54:04	ga_ls8c_ard_3-0-0_106072_2015-03-08_final
2015-03-09 09:58:26	ga_ls8c_ard_3-0-0_097072_2015-03-09_final
2015-03-09 11:37:19	ga_ls8c_ard_3-0-0_113072_2015-03-09_final
2015-03-10 10:41:41	ga_ls8c_ard_3-0-0_104072_2015-03-10_final
2015-03-24 10:53:55	ga_ls8c_ard_3-0-0_106072_2015-03-24_final
2015-03-25 09:58:17	ga_ls8c_ard_3-0-0_097072_2015-03-25_final
2015-03-25 11:37:10	ga_ls8c_ard_3-0-0_113072_2015-03-25_final
2015-05-05 11:30:37	ga_ls8c_ard_3-0-0_112072_2015-05-05_final
2015-05-06 10:34:59	ga_ls8c_ard_3-0-0_103072_2015-05-06_final
2015-05-07 09:39:20	ga_ls8c_ard_3-0-0_094072_2015-05-07_final
2015-05-07 11:18:13	ga_ls8c_ard_3-0-0_110072_2015-05-07_final
2015-05-08 10:22:35	ga_ls8c_ard_3-0-0_101072_2015-05-08_final
2015-05-09 09:26:57	ga_ls8c_ard_3-0-0_092072_2015-05-08_final
2015-05-09 11:05:50	ga_ls8c_ard_3-0-0_108072_2015-05-09_final
2015-05-10 10:10:12	ga_ls8c_ard_3-0-0_099072_2015-05-10_final
2015-05-16 09:33:03	ga_ls8c_ard_3-0-0_093072_2015-05-16_final
2015-05-16 11:11:56	ga_ls8c_ard_3-0-0_109072_2015-05-16_final
2015-05-17 10:16:20	ga_ls8c_ard_3-0-0_100072_2015-05-17_final
2015-05-18 09:20:43	ga_ls8c_ard_3-0-0_091072_2015-05-17_final
2015-05-18 10:59:12	ga_ls8c_ard_3-0-0_107071_2015-05-18_final
2015-05-18 10:59:36	ga_ls8c_ard_3-0-0_107072_2015-05-18_final
2015-05-19 10:03:59	ga_ls8c_ard_3-0-0_098072_2015-05-19_final
2015-06-06 11:30:40	ga_ls8c_ard_3-0-0_112072_2015-06-06_final
2015-06-07 10:35:03	ga_ls8c_ard_3-0-0_103072_2015-06-07_final
2015-06-08 09:39:26	ga_ls8c_ard_3-0-0_094072_2015-06-08_final
2015-06-08 11:18:19	ga_ls8c_ard_3-0-0_110072_2015-06-08_final
2015-06-09 10:22:43	ga_ls8c_ard_3-1-0_101072_2015-06-09_final
2015-06-10 09:26:42	ga_ls8c_ard_3-0-0_092071_2015-06-09_final
2015-06-10 09:27:06	ga_ls8c_ard_3-0-0_092072_2015-06-09_final
2015-06-10 11:05:59	ga_ls8c_ard_3-0-0_108072_2015-06-10_final
2015-06-11 10:10:22	ga_ls8c_ard_3-0-0_099072_2015-06-11_final
2015-06-12 10:53:15	ga_ls8c_ard_3-0-0_106071_2015-06-12_final
2015-06-12 10:53:39	ga_ls8c_ard_3-0-0_106072_2015-06-12_final
2015-06-13 09:58:02	ga_ls8c_ard_3-0-0_097072_2015-06-13_final
2015-06-13 11:36:55	ga_ls8c_ard_3-0-0_113072_2015-06-13_final
2019-07-31 10:17:21	ga_ls8c_ard_3-1-0_100072_2019-07-31_final
2019-08-01 09:21:44	ga_ls8c_ard_3-1-0_091072_2019-07-31_final
2019-08-01 11:00:37	ga_ls8c_ard_3-1-0_107072_2019-08-01_final
2019-08-02 10:05:00	ga_ls8c_ard_3-1-0_098072_2019-08-02_final
2019-08-29 09:46:36	ga_ls8c_ard_3-1-0_095072_2019-08-29_final
2019-08-29 11:25:29	ga_ls8c_ard_3-1-0_111072_2019-08-29_final
2019-08-30 10:29:51	ga_ls8c_ard_3-1-0_102072_2019-08-30_final
2019-09-21 09:52:53	ga_ls8c_ard_3-1-0_096072_2019-09-21_final
2019-09-21 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-09-21_final
2019-09-22 10:36:09	ga_ls8c_ard_3-1-0_103072_2019-09-22_final
2019-10-06 10:48:35	ga_ls8c_ard_3-1-0_105072_2019-10-06_final
2019-10-07 09:52:57	ga_ls8c_ard_3-1-0_096072_2019-10-07_final
2019-10-07 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-10-07_final
2019-10-08 10:36:13	ga_ls8c_ard_3-1-0_103072_2019-10-08_final
2019-11-01 09:46:48	ga_ls8c_ard_3-1-0_095072_2019-11-01_final
2019-11-01 11:25:41	ga_ls8c_ard_3-1-0_111072_2019-11-01_final
2019-11-02 10:30:03	ga_ls8c_ard_3-1-0_102072_2019-11-02_final
2019-11-03 09:34:26	ga_ls8c_ard_3-1-0_093072_2019-11-03_final
2019-11-03 11:13:19	ga_ls8c_ard_3-1-0_109072_2019-11-03_final
2019-11-08 09:52:57	ga_ls8c_ard_3-1-0_096072_2019-11-08_final
2019-11-08 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-11-08_final
2019-11-09 10:36:13	ga_ls8c_ard_3-1-0_103072_2019-11-09_final
2023-05-18 11:36:54	ga_ls8c_ard_3-2-1_113072_2023-05-18_final
2023-05-19 10:41:17	ga_ls8c_ard_3-2-1_104072_2023-05-19_final
2023-05-20 09:45:17	ga_ls8c_ard_3-2-1_095071_2023-05-20_final
2023-05-20 09:45:41	ga_ls8c_ard_3-2-1_095072_2023-05-20_final
2023-05-20 11:24:34	ga_ls8c_ard_3-2-1_111072_2023-05-20_final
2023-05-21 10:28:57	ga_ls8c_ard_3-2-1_102072_2023-05-21_final
2023-05-22 09:33:20	ga_ls8c_ard_3-2-1_093072_2023-05-22_final
2023-05-22 11:12:13	ga_ls8c_ard_3-2-1_109072_2023-05-22_final
2023-05-23 10:16:36	ga_ls8c_ard_3-2-1_100072_2023-05-23_final
2023-05-24 09:20:59	ga_ls8c_ard_3-2-1_091072_2023-05-23_final
2023-05-24 10:59:52	ga_ls8c_ard_3-2-1_107072_2023-05-24_final
2023-05-25 10:04:15	ga_ls8c_ard_3-2-1_098072_2023-05-25_final
2023-05-26 10:47:31	ga_ls8c_ard_3-2-1_105072_2023-05-26_final
2023-05-27 09:51:54	ga_ls8c_ard_3-2-1_096072_2023-05-27_final
2023-05-27 11:30:47	ga_ls8c_ard_3-2-1_112072_2023-05-27_final
2023-05-28 10:35:09	ga_ls8c_ard_3-2-1_103072_2023-05-28_final
2023-05-29 09:39:08	ga_ls8c_ard_3-2-1_094071_2023-05-29_final
2023-05-29 09:39:32	ga_ls8c_ard_3-2-1_094072_2023-05-29_final
2023-05-29 11:18:25	ga_ls8c_ard_3-2-1_110072_2023-05-29_final
2023-06-07 09:33:02	ga_ls8c_ard_3-2-1_093071_2023-06-07_final
2023-06-07 09:33:26	ga_ls8c_ard_3-2-1_093072_2023-06-07_final
2023-06-07 11:12:19	ga_ls8c_ard_3-2-1_109072_2023-06-07_final
2023-06-08 10:16:42	ga_ls8c_ard_3-2-1_100072_2023-06-08_final
2023-06-09 09:21:05	ga_ls8c_ard_3-2-1_091072_2023-06-08_final
2023-06-09 10:59:59	ga_ls8c_ard_3-2-1_107072_2023-06-09_final
2023-06-10 10:04:22	ga_ls8c_ard_3-2-1_098072_2023-06-10_final
2023-06-12 11:30:54	ga_ls8c_ard_3-2-1_112072_2023-06-12_final
2023-06-13 10:35:17	ga_ls8c_ard_3-2-1_103072_2023-06-13_final
2023-06-14 09:39:41	ga_ls8c_ard_3-2-1_094072_2023-06-14_final
2023-07-11 11:00:16	ga_ls8c_ard_3-2-1_107072_2023-07-11_final
2023-07-12 10:04:39	ga_ls8c_ard_3-2-1_098072_2023-07-12_final
2023-07-13 10:47:54	ga_ls8c_ard_3-2-1_105072_2023-07-13_final
2023-07-14 09:52:17	ga_ls8c_ard_3-2-1_096072_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

Other Products

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