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
2013-04-21 10:47:00	ga_ls8c_ard_3-0-0_104080_2013-04-21_final
2013-04-22 11:30:16	ga_ls8c_ard_3-0-0_111080_2013-04-22_final
2013-04-24 09:39:00	ga_ls8c_ard_3-0-0_093080_2013-04-24_final
2013-04-24 11:17:53	ga_ls8c_ard_3-0-0_109080_2013-04-24_final
2013-04-26 09:26:38	ga_ls8c_ard_3-0-0_091080_2013-04-25_final
2013-04-26 11:05:31	ga_ls8c_ard_3-0-0_107080_2013-04-26_final
2013-07-01 10:53:22	ga_ls8c_ard_3-0-0_105080_2013-07-01_final
2013-07-02 09:57:45	ga_ls8c_ard_3-0-0_096080_2013-07-02_final
2013-07-02 11:36:38	ga_ls8c_ard_3-0-0_112080_2013-07-02_final
2013-07-03 10:40:37	ga_ls8c_ard_3-0-0_103079_2013-07-03_final
2013-07-03 10:41:01	ga_ls8c_ard_3-0-0_103080_2013-07-03_final
2013-07-04 09:45:00	ga_ls8c_ard_3-0-0_094079_2013-07-04_final
2013-07-04 09:45:24	ga_ls8c_ard_3-0-0_094080_2013-07-04_final
2013-07-04 11:24:17	ga_ls8c_ard_3-0-0_110080_2013-07-04_final
2013-08-11 09:08:21	ga_ls8c_ard_3-0-0_088080_2013-08-10_final
2013-08-11 10:47:14	ga_ls8c_ard_3-0-0_104080_2013-08-11_final
2013-08-12 09:51:36	ga_ls8c_ard_3-0-0_095080_2013-08-12_final
2013-08-12 11:30:29	ga_ls8c_ard_3-0-0_111080_2013-08-12_final
2013-09-11 10:03:58	ga_ls8c_ard_3-0-0_097080_2013-09-11_final
2013-09-11 11:42:51	ga_ls8c_ard_3-0-0_113080_2013-09-11_final
2013-09-12 09:08:20	ga_ls8c_ard_3-0-0_088080_2013-09-11_final
2013-09-12 10:47:13	ga_ls8c_ard_3-0-0_104080_2013-09-12_final
2013-09-13 09:51:35	ga_ls8c_ard_3-0-0_095080_2013-09-13_final
2013-09-13 11:30:28	ga_ls8c_ard_3-0-0_111080_2013-09-13_final
2013-09-15 09:38:49	ga_ls8c_ard_3-0-0_093079_2013-09-15_final
2013-09-15 09:39:13	ga_ls8c_ard_3-0-0_093080_2013-09-15_final
2013-09-15 11:18:06	ga_ls8c_ard_3-0-0_109080_2013-09-15_final
2013-10-28 09:20:24	ga_ls8c_ard_3-0-0_090080_2013-10-27_final
2013-10-28 10:59:17	ga_ls8c_ard_3-0-0_106080_2013-10-28_final
2013-10-29 10:03:40	ga_ls8c_ard_3-0-0_097080_2013-10-29_final
2013-10-29 11:42:33	ga_ls8c_ard_3-0-0_113080_2013-10-29_final
2013-10-30 09:08:03	ga_ls8c_ard_3-0-0_088080_2013-10-29_final
2013-10-30 10:46:56	ga_ls8c_ard_3-0-0_104080_2013-10-30_final
2013-10-31 09:51:19	ga_ls8c_ard_3-0-0_095080_2013-10-31_final
2013-10-31 11:30:12	ga_ls8c_ard_3-0-0_111080_2013-10-31_final
2013-11-12 10:16:03	ga_ls8c_ard_3-0-0_099080_2013-11-12_final
2013-11-12 11:54:56	ga_ls8c_ard_3-0-0_115080_2013-11-12_final
2013-11-13 09:20:25	ga_ls8c_ard_3-0-0_090080_2013-11-12_final
2013-11-13 10:59:18	ga_ls8c_ard_3-0-0_106080_2013-11-13_final
2013-11-14 10:03:40	ga_ls8c_ard_3-0-0_097080_2013-11-14_final
2013-11-14 11:42:33	ga_ls8c_ard_3-0-0_113080_2013-11-14_final
2013-11-15 09:08:02	ga_ls8c_ard_3-0-0_088080_2013-11-14_final
2013-11-15 10:46:55	ga_ls8c_ard_3-0-0_104080_2013-11-15_final
2015-01-17 09:30:40	ga_ls8c_ard_3-0-0_092079_2015-01-17_final
2015-01-17 09:31:04	ga_ls8c_ard_3-0-0_092080_2015-01-17_final
2015-01-17 11:09:57	ga_ls8c_ard_3-0-0_108080_2015-01-17_final
2015-01-18 10:14:19	ga_ls8c_ard_3-0-0_099080_2015-01-18_final
2015-01-18 11:53:12	ga_ls8c_ard_3-0-0_115080_2015-01-18_final
2015-01-19 09:18:41	ga_ls8c_ard_3-0-0_090080_2015-01-18_final
2015-01-19 10:57:34	ga_ls8c_ard_3-0-0_106080_2015-01-19_final
2015-02-16 09:43:13	ga_ls8c_ard_3-0-0_094080_2015-02-16_final
2015-02-16 11:22:06	ga_ls8c_ard_3-0-0_110080_2015-02-16_final
2015-02-17 10:26:29	ga_ls8c_ard_3-0-0_101080_2015-02-17_final
2015-02-18 09:30:52	ga_ls8c_ard_3-0-0_092080_2015-02-18_final
2015-02-18 11:09:45	ga_ls8c_ard_3-0-0_108080_2015-02-18_final
2015-02-19 10:14:08	ga_ls8c_ard_3-0-0_099080_2015-02-19_final
2015-02-19 11:53:01	ga_ls8c_ard_3-0-0_115080_2015-02-19_final
2015-02-20 09:18:30	ga_ls8c_ard_3-0-0_090080_2015-02-19_final
2015-02-20 10:57:23	ga_ls8c_ard_3-0-0_106080_2015-02-20_final
2015-02-28 10:07:55	ga_ls8c_ard_3-0-0_098080_2015-02-28_final
2015-02-28 11:46:48	ga_ls8c_ard_3-0-0_114080_2015-02-28_final
2015-03-01 09:12:17	ga_ls8c_ard_3-0-0_089080_2015-02-28_final
2015-03-01 10:51:10	ga_ls8c_ard_3-0-0_105080_2015-03-01_final
2023-03-19 09:37:09	ga_ls8c_ard_3-2-1_093080_2023-03-19_final
2023-03-19 11:16:02	ga_ls8c_ard_3-2-1_109080_2023-03-19_final
2023-03-20 10:20:24	ga_ls8c_ard_3-2-1_100080_2023-03-20_final
2023-03-21 09:24:45	ga_ls8c_ard_3-2-1_091080_2023-03-20_final
2023-03-21 11:03:38	ga_ls8c_ard_3-2-1_107080_2023-03-21_final
2023-03-22 10:08:00	ga_ls8c_ard_3-2-1_098080_2023-03-22_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
2023-04-25 09:55:17	ga_ls8c_ard_3-2-1_096080_2023-04-25_final
2023-04-25 11:34:11	ga_ls8c_ard_3-2-1_112080_2023-04-25_final
2023-04-26 10:38:33	ga_ls8c_ard_3-2-1_103080_2023-04-26_final
2023-04-27 09:42:55	ga_ls8c_ard_3-2-1_094080_2023-04-27_final
2023-04-27 11:21:48	ga_ls8c_ard_3-2-1_110080_2023-04-27_final
2023-04-28 10:26:11	ga_ls8c_ard_3-2-1_101080_2023-04-28_final
2023-11-13 10:32:37	ga_ls8c_ard_3-2-1_102079_2023-11-13_final
2023-11-13 10:33:01	ga_ls8c_ard_3-2-1_102080_2023-11-13_final
2023-11-14 09:37:25	ga_ls8c_ard_3-2-1_093080_2023-11-14_final
2023-11-14 11:15:54	ga_ls8c_ard_3-2-1_109079_2023-11-14_final
2023-11-14 11:16:18	ga_ls8c_ard_3-2-1_109080_2023-11-14_final
2023-11-15 10:20:17	ga_ls8c_ard_3-2-1_100079_2023-11-15_final
2023-11-15 10:20:41	ga_ls8c_ard_3-2-1_100080_2023-11-15_final
2023-11-16 09:25:05	ga_ls8c_ard_3-2-1_091080_2023-11-15_final
2023-11-16 11:03:58	ga_ls8c_ard_3-2-1_107080_2023-11-16_final
2023-11-18 10:51:37	ga_ls8c_ard_3-2-1_105080_2023-11-18_final
2023-11-19 09:56:00	ga_ls8c_ard_3-2-1_096080_2023-11-19_final
2023-11-20 10:38:52	ga_ls8c_ard_3-2-1_103079_2023-11-20_final
2023-11-20 10:39:16	ga_ls8c_ard_3-2-1_103080_2023-11-20_final
2023-11-21 09:43:15	ga_ls8c_ard_3-2-1_094079_2023-11-21_final
2023-11-21 09:43:39	ga_ls8c_ard_3-2-1_094080_2023-11-21_final
2023-11-21 11:22:08	ga_ls8c_ard_3-2-1_110079_2023-11-21_final
2023-11-21 11:22:32	ga_ls8c_ard_3-2-1_110080_2023-11-21_final
2023-11-22 10:26:31	ga_ls8c_ard_3-2-1_101079_2023-11-22_final
2023-11-22 10:26:55	ga_ls8c_ard_3-2-1_101080_2023-11-22_final
2023-11-23 09:30:54	ga_ls8c_ard_3-2-1_092079_2023-11-23_final
2023-11-23 09:31:18	ga_ls8c_ard_3-2-1_092080_2023-11-23_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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years