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
2022-04-12 12:31:06	ga_ls8c_ard_3-2-1_122067_2022-04-12_final
2023-07-20 10:58:04	ga_ls8c_ard_3-2-1_106082_2023-07-20_final
2023-07-21 10:01:39	ga_ls8c_ard_3-2-1_097080_2023-07-21_final
2023-07-22 10:40:57	ga_ls8c_ard_3-2-1_104070_2023-07-22_final
2023-08-01 11:23:20	ga_ls8c_ard_3-2-1_110083_2023-08-01_final
2023-08-02 10:22:56	ga_ls8c_ard_3-2-1_101071_2023-08-02_final
2023-08-04 10:11:23	ga_ls8c_ard_3-2-1_099073_2023-08-04_final
2023-08-04 11:52:39	ga_ls8c_ard_3-2-1_115079_2023-08-04_final
2023-08-05 09:17:45	ga_ls8c_ard_3-2-1_090078_2023-08-04_final
2023-08-05 09:18:09	ga_ls8c_ard_3-2-1_090079_2023-08-04_final
2023-08-05 09:18:57	ga_ls8c_ard_3-2-1_090081_2023-08-04_final
2023-08-07 10:41:05	ga_ls8c_ard_3-2-1_104070_2023-08-07_final
2023-08-08 11:28:20	ga_ls8c_ard_3-2-1_111080_2023-08-08_final
2023-08-11 10:17:57	ga_ls8c_ard_3-2-1_100074_2023-08-11_final
2023-08-16 10:38:58	ga_ls8c_ard_3-2-1_103080_2023-08-16_final
2023-08-20 11:51:34	ga_ls8c_ard_3-2-1_115076_2023-08-20_final
2023-08-21 10:57:33	ga_ls8c_ard_3-2-1_106080_2023-08-21_final
2023-08-22 10:01:32	ga_ls8c_ard_3-2-1_097079_2023-08-22_final
2023-08-22 10:01:56	ga_ls8c_ard_3-2-1_097080_2023-08-22_final
2023-08-29 11:45:26	ga_ls8c_ard_3-2-1_114076_2023-08-29_final
2023-09-03 10:23:52	ga_ls8c_ard_3-2-1_101073_2023-09-03_final
2023-09-06 10:54:21	ga_ls8c_ard_3-2-1_106072_2023-09-06_final
2023-09-07 09:57:32	ga_ls8c_ard_3-2-1_097069_2023-09-07_final
2023-09-07 11:41:12	ga_ls8c_ard_3-2-1_113081_2023-09-07_final
2023-09-11 11:12:33	ga_ls8c_ard_3-2-1_109071_2023-09-11_final
2023-09-12 08:42:27	ga_ls8c_ard_3-2-1_084082_2023-09-11_final
2023-09-14 10:08:11	ga_ls8c_ard_3-2-1_098080_2023-09-14_final
2023-09-14 11:45:52	ga_ls8c_ard_3-2-1_114077_2023-09-14_final
2023-09-15 10:52:39	ga_ls8c_ard_3-2-1_105083_2023-09-15_final
2023-09-20 09:32:19	ga_ls8c_ard_3-2-1_092083_2023-09-20_final
2023-09-23 10:02:25	ga_ls8c_ard_3-2-1_097081_2023-09-23_final
2023-09-29 09:25:24	ga_ls8c_ard_3-2-1_091081_2023-09-28_final
2023-09-30 10:10:15	ga_ls8c_ard_3-2-1_098085_2023-09-30_final
2023-09-30 11:44:45	ga_ls8c_ard_3-2-1_114074_2023-09-30_final
2023-10-01 09:15:50	ga_ls8c_ard_3-2-1_089088_2023-09-30_final
2023-10-01 10:47:56	ga_ls8c_ard_3-2-1_105071_2023-10-01_final
2023-10-03 10:37:58	ga_ls8c_ard_3-2-1_103077_2023-10-03_final
2023-10-03 10:39:10	ga_ls8c_ard_3-2-1_103080_2023-10-03_final
2023-10-09 09:59:43	ga_ls8c_ard_3-2-1_097074_2023-10-09_final
2023-10-17 09:15:52	ga_ls8c_ard_3-2-1_089088_2023-10-16_final
2023-10-21 10:25:14	ga_ls8c_ard_3-2-1_101076_2023-10-21_final
2023-10-29 11:11:57	ga_ls8c_ard_3-2-1_109069_2023-10-29_final
2023-10-31 11:03:35	ga_ls8c_ard_3-2-1_107079_2023-10-31_final
2023-11-01 11:45:38	ga_ls8c_ard_3-2-1_114076_2023-11-01_final
2023-11-05 09:42:01	ga_ls8c_ard_3-2-1_094076_2023-11-05_final
2023-11-06 10:26:04	ga_ls8c_ard_3-2-1_101078_2023-11-06_final
2023-11-07 09:31:37	ga_ls8c_ard_3-2-1_092081_2023-11-07_final
2023-11-10 11:38:58	ga_ls8c_ard_3-2-1_113075_2023-11-10_final
2023-11-12 11:26:38	ga_ls8c_ard_3-2-1_111075_2023-11-12_final
2023-11-17 11:46:26	ga_ls8c_ard_3-2-1_114078_2023-11-17_final
2023-11-18 10:50:25	ga_ls8c_ard_3-2-1_105077_2023-11-18_final
2023-11-23 11:10:59	ga_ls8c_ard_3-2-1_108082_2023-11-23_final
2023-11-28 11:27:07	ga_ls8c_ard_3-2-1_111076_2023-11-28_final
2023-11-28 11:29:07	ga_ls8c_ard_3-2-1_111081_2023-11-28_final
2023-12-02 11:04:20	ga_ls8c_ard_3-2-1_107081_2023-12-02_final
2023-12-04 10:48:21	ga_ls8c_ard_3-2-1_105072_2023-12-04_final
2023-12-07 11:22:23	ga_ls8c_ard_3-2-1_110080_2023-12-07_final
2023-12-11 10:56:55	ga_ls8c_ard_3-2-1_106078_2023-12-11_final
2023-12-12 09:59:19	ga_ls8c_ard_3-2-1_097073_2023-12-12_final
2023-12-13 10:44:11	ga_ls8c_ard_3-2-1_104077_2023-12-13_final
2023-12-14 09:50:34	ga_ls8c_ard_3-2-1_095082_2023-12-14_final
2023-12-14 11:25:04	ga_ls8c_ard_3-2-1_111071_2023-12-14_final
2023-12-16 11:13:07	ga_ls8c_ard_3-2-1_109072_2023-12-16_final
2023-12-21 09:53:12	ga_ls8c_ard_3-2-1_096073_2023-12-21_final
2023-12-25 11:06:57	ga_ls8c_ard_3-2-1_108072_2023-12-25_final
2023-12-28 10:02:32	ga_ls8c_ard_3-2-1_097081_2023-12-28_final
2023-12-28 11:39:26	ga_ls8c_ard_3-2-1_113076_2023-12-28_final
2023-12-31 10:31:24	ga_ls8c_ard_3-2-1_102076_2023-12-31_final
2024-01-04 10:09:01	ga_ls8c_ard_3-2-1_098082_2024-01-04_final
2024-01-07 10:39:31	ga_ls8c_ard_3-2-1_103081_2024-01-07_final
2024-01-10 11:08:27	ga_ls8c_ard_3-2-1_108076_2024-01-10_final
2024-01-15 09:48:08	ga_ls8c_ard_3-2-1_095076_2024-01-15_final
2024-01-19 09:25:23	ga_ls8c_ard_3-2-1_091081_2024-01-18_final
2024-01-20 11:47:07	ga_ls8c_ard_3-2-1_114080_2024-01-20_final
2024-01-23 10:37:06	ga_ls8c_ard_3-2-1_103075_2024-01-23_final
2024-01-30 10:40:52	ga_ls8c_ard_3-2-1_104069_2024-01-30_final
2024-02-01 10:30:32	ga_ls8c_ard_3-2-1_102074_2024-02-01_final
2024-02-02 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-02_final
2024-02-04 09:27:21	ga_ls8c_ard_3-2-1_091086_2024-02-03_final
2024-02-10 10:23:59	ga_ls8c_ard_3-2-1_101073_2024-02-10_final
2024-02-11 11:06:27	ga_ls8c_ard_3-2-1_108071_2024-02-11_final
2024-02-11 11:10:50	ga_ls8c_ard_3-2-1_108082_2024-02-11_final
2024-02-17 10:31:20	ga_ls8c_ard_3-2-1_102076_2024-02-17_final
2024-02-19 08:42:29	ga_ls8c_ard_3-2-1_084082_2024-02-18_final
2024-02-20 09:27:20	ga_ls8c_ard_3-2-1_091086_2024-02-19_final
2024-02-27 09:31:52	ga_ls8c_ard_3-2-1_092082_2024-02-27_final
2024-02-27 11:10:45	ga_ls8c_ard_3-2-1_108082_2024-02-27_final
2024-02-29 10:58:46	ga_ls8c_ard_3-2-1_106083_2024-02-29_final
2024-03-05 09:35:08	ga_ls8c_ard_3-2-1_093075_2024-03-05_final
2024-03-05 09:39:32	ga_ls8c_ard_3-2-1_093086_2024-03-05_final
2024-03-08 10:06:00	ga_ls8c_ard_3-2-1_098075_2024-03-08_final
2024-03-10 11:33:43	ga_ls8c_ard_3-2-1_112078_2024-03-10_final
2024-03-11 10:38:53	ga_ls8c_ard_3-2-1_103080_2024-03-11_final
2024-03-12 09:41:16	ga_ls8c_ard_3-2-1_094075_2024-03-12_final
2024-03-15 10:16:08	ga_ls8c_ard_3-2-1_099085_2024-03-15_final
2024-03-19 09:47:47	ga_ls8c_ard_3-2-1_095076_2024-03-19_final
2024-03-21 09:36:11	ga_ls8c_ard_3-2-1_093078_2024-03-21_final
2024-03-31 11:50:25	ga_ls8c_ard_3-2-1_115074_2024-03-31_final
2024-04-01 09:18:42	ga_ls8c_ard_3-2-1_090081_2024-03-31_final
2024-04-07 10:17:42	ga_ls8c_ard_3-2-1_100074_2024-04-07_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