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
2020-09-28 10:09:02	ga_ls8c_ard_3-2-1_099066_2020-09-28_final
2022-05-14 12:31:12	ga_ls8c_ard_3-2-1_122067_2022-05-14_final
2023-08-13 10:06:02	ga_ls8c_ard_3-2-1_098075_2023-08-13_final
2023-08-19 09:30:13	ga_ls8c_ard_3-2-1_092078_2023-08-19_final
2023-08-21 09:19:52	ga_ls8c_ard_3-2-1_090083_2023-08-20_final
2023-08-22 11:38:50	ga_ls8c_ard_3-2-1_113075_2023-08-22_final
2023-08-23 10:45:36	ga_ls8c_ard_3-2-1_104081_2023-08-23_final
2023-08-30 10:47:24	ga_ls8c_ard_3-2-1_105070_2023-08-30_final
2023-09-01 10:37:26	ga_ls8c_ard_3-2-1_103076_2023-09-01_final
2023-09-02 11:21:29	ga_ls8c_ard_3-2-1_110078_2023-09-02_final
2023-09-03 10:22:40	ga_ls8c_ard_3-2-1_101070_2023-09-03_final
2023-09-05 10:12:17	ga_ls8c_ard_3-2-1_099075_2023-09-05_final
2023-09-06 09:17:52	ga_ls8c_ard_3-2-1_090078_2023-09-05_final
2023-09-11 09:36:03	ga_ls8c_ard_3-2-1_093077_2023-09-11_final
2023-09-11 09:36:27	ga_ls8c_ard_3-2-1_093078_2023-09-11_final
2023-09-13 09:25:43	ga_ls8c_ard_3-2-1_091082_2023-09-12_final
2023-09-16 09:53:03	ga_ls8c_ard_3-2-1_096073_2023-09-16_final
2023-09-23 11:38:55	ga_ls8c_ard_3-2-1_113075_2023-09-23_final
2023-09-24 10:44:06	ga_ls8c_ard_3-2-1_104077_2023-09-24_final
2023-09-28 11:58:18	ga_ls8c_ard_3-2-1_116077_2023-09-28_final
2023-09-29 11:04:17	ga_ls8c_ard_3-2-1_107081_2023-09-29_final
2023-09-30 10:09:04	ga_ls8c_ard_3-2-1_098082_2023-09-30_final
2023-10-04 11:22:25	ga_ls8c_ard_3-2-1_110080_2023-10-04_final
2023-10-06 11:06:51	ga_ls8c_ard_3-2-1_108072_2023-10-06_final
2023-10-10 10:44:11	ga_ls8c_ard_3-2-1_104077_2023-10-10_final
2023-10-10 10:45:46	ga_ls8c_ard_3-2-1_104081_2023-10-10_final
2023-10-11 11:27:27	ga_ls8c_ard_3-2-1_111077_2023-10-11_final
2023-10-13 09:36:36	ga_ls8c_ard_3-2-1_093078_2023-10-13_final
2023-10-13 09:37:24	ga_ls8c_ard_3-2-1_093080_2023-10-13_final
2023-10-15 09:25:50	ga_ls8c_ard_3-2-1_091082_2023-10-14_final
2023-10-18 09:54:44	ga_ls8c_ard_3-2-1_096077_2023-10-18_final
2023-10-21 10:22:50	ga_ls8c_ard_3-2-1_101070_2023-10-21_final
2023-10-24 10:58:10	ga_ls8c_ard_3-2-1_106081_2023-10-24_final
2023-10-26 10:41:50	ga_ls8c_ard_3-2-1_104071_2023-10-26_final
2023-10-27 11:27:53	ga_ls8c_ard_3-2-1_111078_2023-10-27_final
2023-10-27 11:28:17	ga_ls8c_ard_3-2-1_111079_2023-10-27_final
2023-10-29 11:15:56	ga_ls8c_ard_3-2-1_109079_2023-10-29_final
2023-10-29 11:16:44	ga_ls8c_ard_3-2-1_109081_2023-10-29_final
2023-11-06 10:22:52	ga_ls8c_ard_3-2-1_101070_2023-11-06_final
2023-11-08 10:12:28	ga_ls8c_ard_3-2-1_099075_2023-11-08_final
2023-11-09 09:18:50	ga_ls8c_ard_3-2-1_090080_2023-11-08_final
2023-11-09 10:58:54	ga_ls8c_ard_3-2-1_106083_2023-11-09_final
2023-11-10 11:39:22	ga_ls8c_ard_3-2-1_113076_2023-11-10_final
2023-11-11 10:44:33	ga_ls8c_ard_3-2-1_104078_2023-11-11_final
2023-11-12 11:27:50	ga_ls8c_ard_3-2-1_111078_2023-11-12_final
2023-11-12 11:28:14	ga_ls8c_ard_3-2-1_111079_2023-11-12_final
2023-11-15 10:20:41	ga_ls8c_ard_3-2-1_100080_2023-11-15_final
2023-11-21 09:43:15	ga_ls8c_ard_3-2-1_094079_2023-11-21_final
2023-11-26 11:39:29	ga_ls8c_ard_3-2-1_113076_2023-11-26_final
2023-11-28 11:28:43	ga_ls8c_ard_3-2-1_111080_2023-11-28_final
2023-12-01 10:21:06	ga_ls8c_ard_3-2-1_100081_2023-12-01_final
2023-12-08 10:26:23	ga_ls8c_ard_3-2-1_101079_2023-12-08_final
2023-12-12 10:02:55	ga_ls8c_ard_3-2-1_097082_2023-12-12_final
2023-12-12 11:39:24	ga_ls8c_ard_3-2-1_113076_2023-12-12_final
2023-12-13 10:41:48	ga_ls8c_ard_3-2-1_104071_2023-12-13_final
2023-12-13 10:42:11	ga_ls8c_ard_3-2-1_104072_2023-12-13_final
2023-12-14 11:27:28	ga_ls8c_ard_3-2-1_111077_2023-12-14_final
2023-12-14 11:28:39	ga_ls8c_ard_3-2-1_111080_2023-12-14_final
2023-12-16 09:38:38	ga_ls8c_ard_3-2-1_093083_2023-12-16_final
2023-12-16 11:15:55	ga_ls8c_ard_3-2-1_109079_2023-12-16_final
2023-12-18 09:24:41	ga_ls8c_ard_3-2-1_091079_2023-12-17_final
2023-12-18 11:03:10	ga_ls8c_ard_3-2-1_107078_2023-12-18_final
2023-12-21 09:56:00	ga_ls8c_ard_3-2-1_096080_2023-12-21_final
2023-12-24 10:26:29	ga_ls8c_ard_3-2-1_101079_2023-12-24_final
2023-12-28 10:02:56	ga_ls8c_ard_3-2-1_097082_2023-12-28_final
2023-12-28 10:03:20	ga_ls8c_ard_3-2-1_097083_2023-12-28_final
2023-12-28 11:39:26	ga_ls8c_ard_3-2-1_113076_2023-12-28_final
2023-12-29 10:41:48	ga_ls8c_ard_3-2-1_104071_2023-12-29_final
2023-12-30 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-12-30_final
2023-12-31 10:32:36	ga_ls8c_ard_3-2-1_102079_2023-12-31_final
2024-01-01 09:36:58	ga_ls8c_ard_3-2-1_093079_2024-01-01_final
2024-01-04 10:06:13	ga_ls8c_ard_3-2-1_098075_2024-01-04_final
2024-01-05 10:50:40	ga_ls8c_ard_3-2-1_105078_2024-01-05_final
2024-01-12 09:18:49	ga_ls8c_ard_3-2-1_090080_2024-01-11_final
2024-01-13 10:02:53	ga_ls8c_ard_3-2-1_097082_2024-01-13_final
2024-01-13 10:03:17	ga_ls8c_ard_3-2-1_097083_2024-01-13_final
2024-01-13 11:39:22	ga_ls8c_ard_3-2-1_113076_2024-01-13_final
2024-01-15 09:49:19	ga_ls8c_ard_3-2-1_095079_2024-01-15_final
2024-01-15 11:28:12	ga_ls8c_ard_3-2-1_111079_2024-01-15_final
2024-01-19 11:03:04	ga_ls8c_ard_3-2-1_107078_2024-01-19_final
2024-01-23 10:38:42	ga_ls8c_ard_3-2-1_103079_2024-01-23_final
2024-01-24 09:41:52	ga_ls8c_ard_3-2-1_094076_2024-01-24_final
2024-01-26 09:31:51	ga_ls8c_ard_3-2-1_092082_2024-01-26_final
2024-01-30 10:43:40	ga_ls8c_ard_3-2-1_104076_2024-01-30_final
2024-01-31 11:27:20	ga_ls8c_ard_3-2-1_111077_2024-01-31_final
2024-02-02 09:36:31	ga_ls8c_ard_3-2-1_093078_2024-02-02_final
2024-02-02 11:16:35	ga_ls8c_ard_3-2-1_109081_2024-02-02_final
2024-02-03 11:58:16	ga_ls8c_ard_3-2-1_116077_2024-02-03_final
2024-02-04 11:03:03	ga_ls8c_ard_3-2-1_107078_2024-02-04_final
2024-02-09 09:44:43	ga_ls8c_ard_3-2-1_094083_2024-02-09_final
2024-02-15 10:44:29	ga_ls8c_ard_3-2-1_104078_2024-02-15_final
2024-02-18 11:15:47	ga_ls8c_ard_3-2-1_109079_2024-02-18_final
2024-02-18 11:16:35	ga_ls8c_ard_3-2-1_109081_2024-02-18_final
2024-02-22 10:51:03	ga_ls8c_ard_3-2-1_105079_2024-02-22_final
2024-02-23 11:33:07	ga_ls8c_ard_3-2-1_112076_2024-02-23_final
2024-03-10 09:55:38	ga_ls8c_ard_3-2-1_096080_2024-03-10_final
2024-03-12 09:44:28	ga_ls8c_ard_3-2-1_094083_2024-03-12_final
2024-03-14 09:31:17	ga_ls8c_ard_3-2-1_092081_2024-03-14_final
2024-03-14 11:08:35	ga_ls8c_ard_3-2-1_108077_2024-03-14_final
2024-04-02 11:38:51	ga_ls8c_ard_3-2-1_113076_2024-04-02_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