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:

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First 100 results (query limit)

Time (local)	Label
2023-01-15 11:57:42	ga_ls8c_ard_3-2-1_116075_2023-01-15_final
2023-02-04 09:54:57	ga_ls8c_ard_3-2-1_096077_2023-02-04_final
2023-03-16 10:43:10	ga_ls8c_ard_3-2-1_104075_2023-03-16_final
2023-04-07 10:06:12	ga_ls8c_ard_3-2-1_098076_2023-04-07_final
2023-04-20 11:11:14	ga_ls8c_ard_3-2-1_109069_2023-04-20_final
2023-04-25 09:55:41	ga_ls8c_ard_3-2-1_096081_2023-04-25_final
2023-05-03 10:42:17	ga_ls8c_ard_3-2-1_104074_2023-05-03_final
2023-05-06 09:37:03	ga_ls8c_ard_3-2-1_093081_2023-05-06_final
2023-05-10 10:46:45	ga_ls8c_ard_3-2-1_105070_2023-05-10_final
2023-05-12 10:37:56	ga_ls8c_ard_3-2-1_103079_2023-05-12_final
2023-05-16 11:50:04	ga_ls8c_ard_3-2-1_115074_2023-05-16_final
2023-05-22 09:34:56	ga_ls8c_ard_3-2-1_093076_2023-05-22_final
2023-06-02 09:19:12	ga_ls8c_ard_3-2-1_090083_2023-06-01_final
2023-06-07 11:15:30	ga_ls8c_ard_3-2-1_109080_2023-06-07_final
2023-06-13 10:36:29	ga_ls8c_ard_3-2-1_103075_2023-06-13_final
2023-06-21 11:27:09	ga_ls8c_ard_3-2-1_111078_2023-06-21_final
2023-06-25 11:02:52	ga_ls8c_ard_3-2-1_107079_2023-06-25_final
2023-06-26 11:46:09	ga_ls8c_ard_3-2-1_114079_2023-06-26_final
2023-07-06 10:40:53	ga_ls8c_ard_3-2-1_104070_2023-07-06_final
2023-07-07 11:28:33	ga_ls8c_ard_3-2-1_111081_2023-07-07_final
2023-07-11 09:25:22	ga_ls8c_ard_3-2-1_091082_2023-07-10_final
2023-07-16 11:18:01	ga_ls8c_ard_3-2-1_110070_2023-07-16_final
2023-07-17 10:25:35	ga_ls8c_ard_3-2-1_101078_2023-07-17_final
2023-07-19 10:11:13	ga_ls8c_ard_3-2-1_099073_2023-07-19_final
2023-07-22 10:41:21	ga_ls8c_ard_3-2-1_104071_2023-07-22_final
2023-07-22 10:43:44	ga_ls8c_ard_3-2-1_104077_2023-07-22_final
2023-07-23 09:47:20	ga_ls8c_ard_3-2-1_095075_2023-07-23_final
2023-07-25 11:15:05	ga_ls8c_ard_3-2-1_109078_2023-07-25_final
2023-07-29 10:51:13	ga_ls8c_ard_3-2-1_105080_2023-07-29_final
2023-08-01 09:41:40	ga_ls8c_ard_3-2-1_094076_2023-08-01_final
2023-08-03 09:30:06	ga_ls8c_ard_3-2-1_092078_2023-08-03_final
2023-08-06 10:00:37	ga_ls8c_ard_3-2-1_097077_2023-08-06_final
2023-08-06 10:02:13	ga_ls8c_ard_3-2-1_097081_2023-08-06_final
2023-08-19 09:32:13	ga_ls8c_ard_3-2-1_092083_2023-08-19_final
2023-08-19 11:06:42	ga_ls8c_ard_3-2-1_108072_2023-08-19_final
2023-08-31 11:35:27	ga_ls8c_ard_3-2-1_112082_2023-08-31_final
2023-09-03 10:23:28	ga_ls8c_ard_3-2-1_101072_2023-09-03_final
2023-09-08 10:41:36	ga_ls8c_ard_3-2-1_104071_2023-09-08_final
2023-09-11 09:38:51	ga_ls8c_ard_3-2-1_093084_2023-09-11_final
2023-09-12 08:42:27	ga_ls8c_ard_3-2-1_084082_2023-09-11_final
2023-09-13 09:24:07	ga_ls8c_ard_3-2-1_091078_2023-09-12_final
2023-09-17 10:35:31	ga_ls8c_ard_3-2-1_103071_2023-09-17_final
2023-09-20 09:31:32	ga_ls8c_ard_3-2-1_092081_2023-09-20_final
2023-09-29 09:24:12	ga_ls8c_ard_3-2-1_091078_2023-09-28_final
2023-09-29 11:03:29	ga_ls8c_ard_3-2-1_107079_2023-09-29_final
2023-09-30 10:05:28	ga_ls8c_ard_3-2-1_098073_2023-09-30_final
2023-10-01 10:50:43	ga_ls8c_ard_3-2-1_105078_2023-10-01_final
2023-10-02 11:35:11	ga_ls8c_ard_3-2-1_112081_2023-10-02_final
2023-10-03 10:35:34	ga_ls8c_ard_3-2-1_103071_2023-10-03_final
2023-10-06 11:10:27	ga_ls8c_ard_3-2-1_108081_2023-10-06_final
2023-10-11 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-10-11_final
2023-10-13 11:16:17	ga_ls8c_ard_3-2-1_109080_2023-10-13_final
2023-10-15 11:01:08	ga_ls8c_ard_3-2-1_107073_2023-10-15_final
2023-10-15 11:03:31	ga_ls8c_ard_3-2-1_107079_2023-10-15_final
2023-10-18 09:53:08	ga_ls8c_ard_3-2-1_096073_2023-10-18_final
2023-10-20 09:42:21	ga_ls8c_ard_3-2-1_094077_2023-10-20_final
2023-10-20 09:43:33	ga_ls8c_ard_3-2-1_094080_2023-10-20_final
2023-10-22 09:32:25	ga_ls8c_ard_3-2-1_092083_2023-10-22_final
2023-10-26 10:43:25	ga_ls8c_ard_3-2-1_104075_2023-10-26_final
2023-10-31 09:25:30	ga_ls8c_ard_3-2-1_091081_2023-10-30_final
2023-10-31 11:03:35	ga_ls8c_ard_3-2-1_107079_2023-10-31_final
2023-11-04 10:35:39	ga_ls8c_ard_3-2-1_103071_2023-11-04_final
2023-11-12 09:48:09	ga_ls8c_ard_3-2-1_095076_2023-11-12_final
2023-11-16 09:25:28	ga_ls8c_ard_3-2-1_091081_2023-11-15_final
2023-11-25 10:58:14	ga_ls8c_ard_3-2-1_106081_2023-11-25_final
2023-12-05 09:55:06	ga_ls8c_ard_3-2-1_096078_2023-12-05_final
2023-12-06 10:36:45	ga_ls8c_ard_3-2-1_103074_2023-12-06_final
2023-12-07 09:43:30	ga_ls8c_ard_3-2-1_094080_2023-12-07_final
2023-12-07 09:45:06	ga_ls8c_ard_3-2-1_094084_2023-12-07_final
2023-12-13 10:44:11	ga_ls8c_ard_3-2-1_104077_2023-12-13_final
2023-12-16 11:16:19	ga_ls8c_ard_3-2-1_109080_2023-12-16_final
2023-12-18 11:04:22	ga_ls8c_ard_3-2-1_107081_2023-12-18_final
2023-12-21 09:57:12	ga_ls8c_ard_3-2-1_096083_2023-12-21_final
2023-12-29 10:41:24	ga_ls8c_ard_3-2-1_104070_2023-12-29_final
2024-01-10 09:30:22	ga_ls8c_ard_3-2-1_092078_2024-01-10_final
2024-01-10 09:30:46	ga_ls8c_ard_3-2-1_092079_2024-01-10_final
2024-01-12 10:56:30	ga_ls8c_ard_3-2-1_106077_2024-01-12_final
2024-01-13 10:01:41	ga_ls8c_ard_3-2-1_097079_2024-01-13_final
2024-01-25 10:25:06	ga_ls8c_ard_3-2-1_101076_2024-01-25_final
2024-01-25 10:26:18	ga_ls8c_ard_3-2-1_101079_2024-01-25_final
2024-01-28 09:19:54	ga_ls8c_ard_3-2-1_090083_2024-01-27_final
2024-01-31 09:51:39	ga_ls8c_ard_3-2-1_095085_2024-01-31_final
2024-01-31 11:26:32	ga_ls8c_ard_3-2-1_111075_2024-01-31_final
2024-02-01 10:31:19	ga_ls8c_ard_3-2-1_102076_2024-02-01_final
2024-02-06 09:15:48	ga_ls8c_ard_3-2-1_089088_2024-02-05_final
2024-02-09 09:41:31	ga_ls8c_ard_3-2-1_094075_2024-02-09_final
2024-02-11 11:06:51	ga_ls8c_ard_3-2-1_108072_2024-02-11_final
2024-02-16 11:27:21	ga_ls8c_ard_3-2-1_111077_2024-02-16_final
2024-02-20 11:04:37	ga_ls8c_ard_3-2-1_107082_2024-02-20_final
2024-02-20 11:05:01	ga_ls8c_ard_3-2-1_107083_2024-02-20_final
2024-02-27 09:31:04	ga_ls8c_ard_3-2-1_092080_2024-02-27_final
2024-03-03 09:47:56	ga_ls8c_ard_3-2-1_095076_2024-03-03_final
2024-03-03 11:28:25	ga_ls8c_ard_3-2-1_111080_2024-03-03_final
2024-03-05 09:37:32	ga_ls8c_ard_3-2-1_093081_2024-03-05_final
2024-03-14 09:31:41	ga_ls8c_ard_3-2-1_092082_2024-03-14_final
2024-03-19 09:50:58	ga_ls8c_ard_3-2-1_095084_2024-03-19_final
2024-03-31 10:11:56	ga_ls8c_ard_3-2-1_099075_2024-03-31_final
2024-04-01 10:56:23	ga_ls8c_ard_3-2-1_106078_2024-04-01_final
2024-04-03 10:42:26	ga_ls8c_ard_3-2-1_104074_2024-04-03_final
2024-04-05 10:29:16	ga_ls8c_ard_3-2-1_102072_2024-04-05_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