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
2014-07-22 10:38:55	ga_ls8c_ard_3-0-0_103080_2014-07-22_final
2014-07-23 09:42:53	ga_ls8c_ard_3-0-0_094079_2014-07-23_final
2014-07-23 09:43:17	ga_ls8c_ard_3-0-0_094080_2014-07-23_final
2014-07-23 11:22:10	ga_ls8c_ard_3-0-0_110080_2014-07-23_final
2014-07-24 10:26:33	ga_ls8c_ard_3-0-0_101080_2014-07-24_final
2014-07-25 09:30:56	ga_ls8c_ard_3-0-0_092080_2014-07-25_final
2014-07-25 11:09:49	ga_ls8c_ard_3-0-0_108080_2014-07-25_final
2014-07-26 10:14:12	ga_ls8c_ard_3-0-0_099080_2014-07-26_final
2014-07-26 11:53:06	ga_ls8c_ard_3-0-0_115080_2014-07-26_final
2014-07-27 09:18:12	ga_ls8c_ard_3-0-0_090079_2014-07-26_final
2014-07-27 09:18:36	ga_ls8c_ard_3-0-0_090080_2014-07-26_final
2014-07-27 10:57:29	ga_ls8c_ard_3-0-0_106080_2014-07-27_final
2014-10-10 10:38:50	ga_ls8c_ard_3-1-0_103079_2014-10-10_final
2014-10-10 10:39:14	ga_ls8c_ard_3-0-0_103080_2014-10-10_final
2014-10-11 09:43:37	ga_ls8c_ard_3-0-0_094080_2014-10-11_final
2014-10-11 11:22:30	ga_ls8c_ard_3-0-0_110080_2014-10-11_final
2014-10-12 10:26:53	ga_ls8c_ard_3-0-0_101080_2014-10-12_final
2014-10-19 10:33:06	ga_ls8c_ard_3-0-0_102080_2014-10-19_final
2014-10-20 09:37:04	ga_ls8c_ard_3-0-0_093079_2014-10-20_final
2014-10-20 09:37:28	ga_ls8c_ard_3-0-0_093080_2014-10-20_final
2014-10-20 11:16:21	ga_ls8c_ard_3-0-0_109080_2014-10-20_final
2014-10-21 10:20:20	ga_ls8c_ard_3-0-0_100079_2014-10-21_final
2014-10-21 10:20:44	ga_ls8c_ard_3-0-0_100080_2014-10-21_final
2014-10-22 09:24:42	ga_ls8c_ard_3-0-0_091079_2014-10-21_final
2014-10-22 09:25:06	ga_ls8c_ard_3-0-0_091080_2014-10-21_final
2014-10-22 11:03:59	ga_ls8c_ard_3-0-0_107080_2014-10-22_final
2014-10-23 10:08:22	ga_ls8c_ard_3-0-0_098080_2014-10-23_final
2014-10-23 11:47:15	ga_ls8c_ard_3-0-0_114080_2014-10-23_final
2014-10-24 09:12:44	ga_ls8c_ard_3-0-0_089080_2014-10-23_final
2014-11-07 09:25:06	ga_ls8c_ard_3-0-0_091080_2014-11-06_final
2014-11-07 11:03:59	ga_ls8c_ard_3-0-0_107080_2014-11-07_final
2014-11-08 10:08:22	ga_ls8c_ard_3-0-0_098080_2014-11-08_final
2014-11-08 11:47:15	ga_ls8c_ard_3-0-0_114080_2014-11-08_final
2014-11-09 09:12:45	ga_ls8c_ard_3-0-0_089080_2014-11-08_final
2014-11-20 10:32:37	ga_ls8c_ard_3-0-0_102079_2014-11-20_final
2014-11-20 10:33:01	ga_ls8c_ard_3-0-0_102080_2014-11-20_final
2014-11-21 09:37:23	ga_ls8c_ard_3-0-0_093080_2014-11-21_final
2014-11-21 11:16:16	ga_ls8c_ard_3-0-0_109080_2014-11-21_final
2014-11-22 10:20:39	ga_ls8c_ard_3-0-0_100080_2014-11-22_final
2014-11-23 09:25:03	ga_ls8c_ard_3-0-0_091080_2014-11-22_final
2014-11-23 11:03:56	ga_ls8c_ard_3-0-0_107080_2014-11-23_final
2014-11-24 10:07:55	ga_ls8c_ard_3-0-0_098079_2014-11-24_final
2014-11-24 10:08:19	ga_ls8c_ard_3-0-0_098080_2014-11-24_final
2014-11-24 11:47:12	ga_ls8c_ard_3-0-0_114080_2014-11-24_final
2014-11-25 09:12:42	ga_ls8c_ard_3-0-0_089080_2014-11-24_final
2014-12-13 10:39:07	ga_ls8c_ard_3-0-0_103080_2014-12-13_final
2014-12-14 09:43:30	ga_ls8c_ard_3-0-0_094080_2014-12-14_final
2014-12-14 11:22:24	ga_ls8c_ard_3-0-0_110080_2014-12-14_final
2014-12-15 10:26:47	ga_ls8c_ard_3-0-0_101080_2014-12-15_final
2014-12-16 09:31:10	ga_ls8c_ard_3-0-0_092080_2014-12-16_final
2014-12-16 11:10:03	ga_ls8c_ard_3-0-0_108080_2014-12-16_final
2014-12-17 10:14:26	ga_ls8c_ard_3-0-0_099080_2014-12-17_final
2014-12-17 11:53:19	ga_ls8c_ard_3-0-0_115080_2014-12-17_final
2014-12-18 09:18:49	ga_ls8c_ard_3-0-0_090080_2014-12-17_final
2014-12-18 10:57:42	ga_ls8c_ard_3-0-0_106080_2014-12-18_final
2023-03-22 11:46:53	ga_ls8c_ard_3-2-1_114080_2023-03-22_final
2023-03-23 09:12:22	ga_ls8c_ard_3-2-1_089080_2023-03-22_final
2023-03-23 10:51:14	ga_ls8c_ard_3-2-1_105080_2023-03-23_final
2023-03-24 09:55:37	ga_ls8c_ard_3-2-1_096080_2023-03-24_final
2023-03-30 10:57:23	ga_ls8c_ard_3-2-1_106080_2023-03-30_final
2023-03-31 10:01:45	ga_ls8c_ard_3-2-1_097080_2023-03-31_final
2023-03-31 11:40:38	ga_ls8c_ard_3-2-1_113080_2023-03-31_final
2023-04-01 09:06:07	ga_ls8c_ard_3-2-1_088080_2023-03-31_final
2023-04-01 10:45:00	ga_ls8c_ard_3-2-1_104080_2023-04-01_final
2023-04-02 08:10:28	ga_ls8c_ard_3-2-1_079080_2023-04-01_final
2023-04-02 09:49:21	ga_ls8c_ard_3-2-1_095080_2023-04-02_final
2023-04-02 11:28:14	ga_ls8c_ard_3-2-1_111080_2023-04-02_final
2023-04-03 10:32:36	ga_ls8c_ard_3-2-1_102080_2023-04-03_final
2023-04-04 09:36:58	ga_ls8c_ard_3-2-1_093080_2023-04-04_final
2023-04-04 11:15:50	ga_ls8c_ard_3-2-1_109080_2023-04-04_final
2023-04-05 10:20:12	ga_ls8c_ard_3-2-1_100080_2023-04-05_final
2023-04-06 09:24:33	ga_ls8c_ard_3-2-1_091080_2023-04-05_final
2023-04-06 11:03:26	ga_ls8c_ard_3-2-1_107080_2023-04-06_final
2023-04-07 10:07:48	ga_ls8c_ard_3-2-1_098080_2023-04-07_final
2023-04-11 11:21:52	ga_ls8c_ard_3-2-1_110080_2023-04-11_final
2023-04-12 10:26:14	ga_ls8c_ard_3-2-1_101080_2023-04-12_final
2023-04-13 09:30:37	ga_ls8c_ard_3-2-1_092080_2023-04-13_final
2023-04-13 11:09:30	ga_ls8c_ard_3-2-1_108080_2023-04-13_final
2023-04-14 10:13:52	ga_ls8c_ard_3-2-1_099080_2023-04-14_final
2023-04-14 11:52:45	ga_ls8c_ard_3-2-1_115080_2023-04-14_final
2023-04-15 09:18:15	ga_ls8c_ard_3-2-1_090080_2023-04-14_final
2023-05-25 10:07:03	ga_ls8c_ard_3-2-1_098079_2023-05-25_final
2023-05-25 10:07:27	ga_ls8c_ard_3-2-1_098080_2023-05-25_final
2023-05-25 11:46:20	ga_ls8c_ard_3-2-1_114080_2023-05-25_final
2023-05-26 09:11:49	ga_ls8c_ard_3-2-1_089080_2023-05-25_final
2023-05-26 10:50:18	ga_ls8c_ard_3-2-1_105079_2023-05-26_final
2023-05-26 10:50:42	ga_ls8c_ard_3-2-1_105080_2023-05-26_final
2023-05-27 09:55:05	ga_ls8c_ard_3-2-1_096080_2023-05-27_final
2023-05-27 11:33:58	ga_ls8c_ard_3-2-1_112080_2023-05-27_final
2023-06-01 10:13:37	ga_ls8c_ard_3-2-1_099080_2023-06-01_final
2023-06-01 11:52:07	ga_ls8c_ard_3-2-1_115079_2023-06-01_final
2023-06-01 11:52:30	ga_ls8c_ard_3-2-1_115080_2023-06-01_final
2023-06-02 09:17:36	ga_ls8c_ard_3-2-1_090079_2023-06-01_final
2023-06-02 09:18:00	ga_ls8c_ard_3-2-1_090080_2023-06-01_final
2023-06-02 10:56:53	ga_ls8c_ard_3-2-1_106080_2023-06-02_final
2023-06-03 10:00:53	ga_ls8c_ard_3-2-1_097079_2023-06-03_final
2023-06-03 10:01:17	ga_ls8c_ard_3-2-1_097080_2023-06-03_final
2023-06-03 11:40:10	ga_ls8c_ard_3-2-1_113080_2023-06-03_final
2023-06-04 09:05:40	ga_ls8c_ard_3-2-1_088080_2023-06-03_final
2023-06-04 10:44:10	ga_ls8c_ard_3-2-1_104079_2023-06-04_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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years