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
2021-05-08 10:22:59	ga_ls8c_ard_3-2-0_101072_2021-05-08_final
2021-08-09 09:53:06	ga_ls8c_ard_3-2-0_096073_2021-08-09_final
2021-08-09 09:53:30	ga_ls8c_ard_3-2-0_096074_2021-08-09_final
2021-08-12 10:23:37	ga_ls8c_ard_3-2-0_101072_2021-08-12_final
2021-08-13 11:10:28	ga_ls8c_ard_3-2-0_108081_2021-08-13_final
2021-08-15 10:56:32	ga_ls8c_ard_3-2-0_106077_2021-08-15_final
2021-08-15 10:58:07	ga_ls8c_ard_3-2-0_106081_2021-08-15_final
2021-08-16 09:58:07	ga_ls8c_ard_3-2-0_097070_2021-08-16_final
2021-08-16 09:59:19	ga_ls8c_ard_3-2-0_097073_2021-08-16_final
2021-08-17 10:42:11	ga_ls8c_ard_3-2-0_104072_2021-08-17_final
2021-08-18 11:26:39	ga_ls8c_ard_3-2-0_111075_2021-08-18_final
2021-08-18 11:28:38	ga_ls8c_ard_3-2-0_111080_2021-08-18_final
2021-08-18 11:29:02	ga_ls8c_ard_3-2-0_111081_2021-08-18_final
2021-08-22 09:24:39	ga_ls8c_ard_3-2-0_091079_2021-08-21_final
2021-08-23 11:45:36	ga_ls8c_ard_3-2-0_114076_2021-08-23_final
2021-08-25 09:55:58	ga_ls8c_ard_3-2-0_096080_2021-08-25_final
2021-08-27 09:44:25	ga_ls8c_ard_3-2-0_094082_2021-08-27_final
2021-08-28 10:24:29	ga_ls8c_ard_3-2-0_101074_2021-08-28_final
2021-08-29 09:26:29	ga_ls8c_ard_3-2-0_092068_2021-08-28_final
2021-08-29 11:08:33	ga_ls8c_ard_3-2-0_108076_2021-08-29_final
2021-09-07 09:24:44	ga_ls8c_ard_3-2-0_091079_2021-09-06_final
2021-09-07 09:25:56	ga_ls8c_ard_3-2-0_091082_2021-09-06_final
2021-09-07 11:01:13	ga_ls8c_ard_3-2-0_107073_2021-09-07_final
2021-09-09 09:12:47	ga_ls8c_ard_3-2-0_089080_2021-09-08_final
2021-09-12 09:41:42	ga_ls8c_ard_3-2-0_094075_2021-09-12_final
2021-09-14 09:29:44	ga_ls8c_ard_3-2-0_092076_2021-09-13_final
2021-09-16 09:19:23	ga_ls8c_ard_3-2-0_090081_2021-09-15_final
2021-09-18 10:45:30	ga_ls8c_ard_3-2-0_104080_2021-09-18_final
2021-09-21 09:35:56	ga_ls8c_ard_3-2-0_093076_2021-09-21_final
2021-09-24 10:06:27	ga_ls8c_ard_3-2-0_098075_2021-09-24_final
2021-09-24 11:42:08	ga_ls8c_ard_3-2-0_114067_2021-09-24_final
2021-09-25 09:12:50	ga_ls8c_ard_3-2-0_089080_2021-09-24_final
2021-09-25 09:15:13	ga_ls8c_ard_3-2-0_089086_2021-09-24_final
2021-09-26 11:34:11	ga_ls8c_ard_3-2-0_112078_2021-09-26_final
2021-09-28 09:44:57	ga_ls8c_ard_3-2-0_094083_2021-09-28_final
2021-09-30 11:07:06	ga_ls8c_ard_3-2-0_108072_2021-09-30_final
2021-10-02 10:57:09	ga_ls8c_ard_3-2-0_106078_2021-10-02_final
2021-10-03 09:59:32	ga_ls8c_ard_3-2-0_097073_2021-10-03_final
2021-10-03 10:01:08	ga_ls8c_ard_3-2-0_097077_2021-10-03_final
2021-10-04 10:42:00	ga_ls8c_ard_3-2-0_104071_2021-10-04_final
2021-10-04 10:42:24	ga_ls8c_ard_3-2-0_104072_2021-10-04_final
2021-10-06 10:34:02	ga_ls8c_ard_3-2-0_102082_2021-10-06_final
2021-10-07 09:39:13	ga_ls8c_ard_3-2-0_093084_2021-10-07_final
2021-10-09 11:02:58	ga_ls8c_ard_3-2-0_107077_2021-10-09_final
2021-10-10 11:45:50	ga_ls8c_ard_3-2-0_114076_2021-10-10_final
2021-10-13 10:35:52	ga_ls8c_ard_3-2-0_103071_2021-10-13_final
2021-10-17 11:51:14	ga_ls8c_ard_3-2-0_115074_2021-10-17_final
2021-10-23 09:36:28	ga_ls8c_ard_3-2-0_093077_2021-10-23_final
2021-10-23 09:36:52	ga_ls8c_ard_3-2-0_093078_2021-10-23_final
2021-10-25 09:24:31	ga_ls8c_ard_3-2-0_091078_2021-10-24_final
2021-10-30 09:45:03	ga_ls8c_ard_3-2-0_094083_2021-10-30_final
2021-10-30 11:21:56	ga_ls8c_ard_3-2-0_110078_2021-10-30_final
2021-10-30 11:22:44	ga_ls8c_ard_3-2-0_110080_2021-10-30_final
2021-10-31 10:26:42	ga_ls8c_ard_3-2-0_101079_2021-10-31_final
2021-11-03 09:19:07	ga_ls8c_ard_3-2-0_090080_2021-11-02_final
2021-11-04 11:42:27	ga_ls8c_ard_3-2-0_113083_2021-11-04_final
2021-11-05 10:46:02	ga_ls8c_ard_3-2-0_104081_2021-11-05_final
2021-11-08 09:38:50	ga_ls8c_ard_3-2-0_093083_2021-11-08_final
2021-11-08 11:16:55	ga_ls8c_ard_3-2-0_109081_2021-11-08_final
2021-11-10 09:25:16	ga_ls8c_ard_3-2-0_091080_2021-11-09_final
2021-11-13 09:54:57	ga_ls8c_ard_3-2-0_096077_2021-11-13_final
2021-11-13 11:34:38	ga_ls8c_ard_3-2-0_112079_2021-11-13_final
2021-11-15 09:43:22	ga_ls8c_ard_3-2-0_094079_2021-11-15_final
2021-11-15 09:44:10	ga_ls8c_ard_3-2-0_094081_2021-11-15_final
2021-11-17 09:30:35	ga_ls8c_ard_3-2-0_092078_2021-11-17_final
2021-11-18 10:11:51	ga_ls8c_ard_3-2-0_099073_2021-11-18_final
2021-11-21 10:41:58	ga_ls8c_ard_3-2-0_104071_2021-11-21_final
2021-11-22 09:49:56	ga_ls8c_ard_3-2-0_095080_2021-11-22_final
2021-11-29 09:55:44	ga_ls8c_ard_3-2-0_096079_2021-11-29_final
2021-11-29 09:56:56	ga_ls8c_ard_3-2-0_096082_2021-11-29_final
2021-12-01 11:22:16	ga_ls8c_ard_3-2-0_110079_2021-12-01_final
2021-12-01 11:23:04	ga_ls8c_ard_3-2-0_110081_2021-12-01_final
2021-12-04 11:51:10	ga_ls8c_ard_3-2-0_115074_2021-12-04_final
2021-12-08 09:48:22	ga_ls8c_ard_3-2-1_095076_2021-12-08_final
2021-12-08 09:48:45	ga_ls8c_ard_3-2-1_095077_2021-12-08_final
2021-12-08 11:28:02	ga_ls8c_ard_3-2-1_111078_2021-12-08_final
2021-12-08 11:28:50	ga_ls8c_ard_3-2-1_111080_2021-12-08_final
2021-12-10 11:16:29	ga_ls8c_ard_3-2-1_109080_2021-12-10_final
2021-12-11 10:20:27	ga_ls8c_ard_3-2-1_100079_2021-12-11_final
2021-12-15 09:54:55	ga_ls8c_ard_3-2-1_096077_2021-12-15_final
2021-12-18 10:24:37	ga_ls8c_ard_3-2-1_101074_2021-12-18_final
2021-12-21 09:20:13	ga_ls8c_ard_3-2-1_090083_2021-12-20_final
2021-12-26 09:39:55	ga_ls8c_ard_3-2-1_093086_2021-12-26_final
2021-12-31 11:33:43	ga_ls8c_ard_3-2-1_112077_2021-12-31_final
2022-01-07 10:01:00	ga_ls8c_ard_3-2-1_097077_2022-01-07_final
2022-01-12 10:20:20	ga_ls8c_ard_3-2-1_100079_2022-01-12_final
2022-01-15 10:50:49	ga_ls8c_ard_3-2-1_105078_2022-01-15_final
2022-02-01 09:54:19	ga_ls8c_ard_3-2-1_096076_2022-02-01_final
2022-02-08 11:39:22	ga_ls8c_ard_3-2-1_113076_2022-02-08_final
2022-02-10 11:28:35	ga_ls8c_ard_3-2-1_111080_2022-02-10_final
2022-02-12 09:37:20	ga_ls8c_ard_3-2-1_093080_2022-02-12_final
2022-02-13 10:20:35	ga_ls8c_ard_3-2-1_100080_2022-02-13_final
2022-02-17 09:55:50	ga_ls8c_ard_3-2-1_096080_2022-02-17_final
2022-02-18 10:38:17	ga_ls8c_ard_3-2-1_103078_2022-02-18_final
2022-02-19 09:41:51	ga_ls8c_ard_3-2-1_094076_2022-02-19_final
2022-02-19 11:23:32	ga_ls8c_ard_3-2-1_110083_2022-02-19_final
2022-02-23 10:58:00	ga_ls8c_ard_3-2-1_106081_2022-02-23_final
2022-02-24 11:39:16	ga_ls8c_ard_3-2-1_113076_2022-02-24_final
2022-02-24 11:40:28	ga_ls8c_ard_3-2-1_113079_2022-02-24_final
2022-02-25 10:42:51	ga_ls8c_ard_3-2-1_104074_2022-02-25_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years