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
2020-08-15 08:10:43	ga_ls8c_ard_3-2-1_079080_2020-08-14_final
2021-07-05 12:37:22	ga_ls8c_ard_3-2-1_123067_2021-07-05_final
2023-03-17 08:10:39	ga_ls8c_ard_3-2-1_079080_2023-03-16_final
2023-04-15 12:30:50	ga_ls8c_ard_3-2-1_122067_2023-04-15_final
2023-11-15 11:57:35	ga_ls8c_ard_3-2-1_116075_2023-11-15_final
2023-12-14 09:47:47	ga_ls8c_ard_3-2-1_095075_2023-12-14_final
2023-12-15 10:29:03	ga_ls8c_ard_3-2-1_102070_2023-12-15_final
2023-12-16 11:11:56	ga_ls8c_ard_3-2-1_109069_2023-12-16_final
2023-12-18 09:25:53	ga_ls8c_ard_3-2-1_091082_2023-12-17_final
2023-12-20 10:51:13	ga_ls8c_ard_3-2-1_105079_2023-12-20_final
2023-12-21 09:56:00	ga_ls8c_ard_3-2-1_096080_2023-12-21_final
2023-12-23 09:42:50	ga_ls8c_ard_3-2-1_094078_2023-12-23_final
2023-12-24 10:26:53	ga_ls8c_ard_3-2-1_101080_2023-12-24_final
2023-12-26 11:52:12	ga_ls8c_ard_3-2-1_115077_2023-12-26_final
2023-12-27 09:17:41	ga_ls8c_ard_3-2-1_090077_2023-12-26_final
2023-12-29 10:44:35	ga_ls8c_ard_3-2-1_104078_2023-12-29_final
2023-12-30 09:49:21	ga_ls8c_ard_3-2-1_095079_2023-12-30_final
2024-01-01 11:15:27	ga_ls8c_ard_3-2-1_109078_2024-01-01_final
2024-01-02 10:18:13	ga_ls8c_ard_3-2-1_100074_2024-01-02_final
2024-01-02 10:20:13	ga_ls8c_ard_3-2-1_100079_2024-01-02_final
2024-01-06 09:55:03	ga_ls8c_ard_3-2-1_096078_2024-01-06_final
2024-01-09 10:24:47	ga_ls8c_ard_3-2-1_101075_2024-01-09_final
2024-01-12 10:55:42	ga_ls8c_ard_3-2-1_106075_2024-01-12_final
2024-01-12 10:56:30	ga_ls8c_ard_3-2-1_106077_2024-01-12_final
2024-01-15 09:51:43	ga_ls8c_ard_3-2-1_095085_2024-01-15_final
2024-01-15 11:27:49	ga_ls8c_ard_3-2-1_111078_2024-01-15_final
2024-01-18 10:20:13	ga_ls8c_ard_3-2-1_100079_2024-01-18_final
2024-01-21 10:51:53	ga_ls8c_ard_3-2-1_105081_2024-01-21_final
2024-01-22 09:54:15	ga_ls8c_ard_3-2-1_096076_2024-01-22_final
2024-01-22 09:54:39	ga_ls8c_ard_3-2-1_096077_2024-01-22_final
2024-01-23 10:38:18	ga_ls8c_ard_3-2-1_103078_2024-01-23_final
2024-01-23 10:38:42	ga_ls8c_ard_3-2-1_103079_2024-01-23_final
2024-01-25 10:26:42	ga_ls8c_ard_3-2-1_101080_2024-01-25_final
2024-01-26 09:31:51	ga_ls8c_ard_3-2-1_092082_2024-01-26_final
2024-01-29 11:41:40	ga_ls8c_ard_3-2-1_113082_2024-01-29_final
2024-01-31 09:48:27	ga_ls8c_ard_3-2-1_095077_2024-01-31_final
2024-02-02 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-02_final
2024-02-02 09:38:30	ga_ls8c_ard_3-2-1_093083_2024-02-02_final
2024-02-03 10:21:46	ga_ls8c_ard_3-2-1_100083_2024-02-03_final
2024-02-04 09:25:46	ga_ls8c_ard_3-2-1_091082_2024-02-03_final
2024-02-04 09:27:21	ga_ls8c_ard_3-2-1_091086_2024-02-03_final
2024-02-05 10:03:27	ga_ls8c_ard_3-2-1_098068_2024-02-05_final
2024-02-05 11:47:07	ga_ls8c_ard_3-2-1_114080_2024-02-05_final
2024-02-06 10:47:54	ga_ls8c_ard_3-2-1_105071_2024-02-06_final
2024-02-07 11:33:58	ga_ls8c_ard_3-2-1_112078_2024-02-07_final
2024-02-07 11:34:22	ga_ls8c_ard_3-2-1_112079_2024-02-07_final
2024-02-08 10:37:09	ga_ls8c_ard_3-2-1_103075_2024-02-08_final
2024-02-09 09:42:19	ga_ls8c_ard_3-2-1_094077_2024-02-09_final
2024-02-09 11:18:25	ga_ls8c_ard_3-2-1_110070_2024-02-09_final
2024-02-09 11:21:36	ga_ls8c_ard_3-2-1_110078_2024-02-09_final
2024-02-10 10:26:47	ga_ls8c_ard_3-2-1_101080_2024-02-10_final
2024-02-11 09:29:10	ga_ls8c_ard_3-2-1_092075_2024-02-10_final
2024-02-11 11:09:14	ga_ls8c_ard_3-2-1_108078_2024-02-11_final
2024-02-13 09:17:35	ga_ls8c_ard_3-2-1_090077_2024-02-12_final
2024-02-13 09:20:23	ga_ls8c_ard_3-2-1_090084_2024-02-12_final
2024-02-14 10:01:14	ga_ls8c_ard_3-2-1_097078_2024-02-14_final
2024-02-14 11:38:31	ga_ls8c_ard_3-2-1_113074_2024-02-14_final
2024-02-17 10:33:43	ga_ls8c_ard_3-2-1_102082_2024-02-17_final
2024-02-18 09:39:42	ga_ls8c_ard_3-2-1_093086_2024-02-18_final
2024-02-18 11:13:24	ga_ls8c_ard_3-2-1_109073_2024-02-18_final
2024-02-20 09:27:20	ga_ls8c_ard_3-2-1_091086_2024-02-19_final
2024-02-22 10:47:52	ga_ls8c_ard_3-2-1_105071_2024-02-22_final
2024-02-23 11:33:55	ga_ls8c_ard_3-2-1_112078_2024-02-23_final
2024-02-24 10:37:05	ga_ls8c_ard_3-2-1_103075_2024-02-24_final
2024-02-25 09:42:39	ga_ls8c_ard_3-2-1_094078_2024-02-25_final
2024-02-25 09:43:51	ga_ls8c_ard_3-2-1_094081_2024-02-25_final
2024-02-25 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-02-25_final
2024-02-27 09:32:40	ga_ls8c_ard_3-2-1_092084_2024-02-27_final
2024-02-28 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-02-28_final
2024-02-28 10:15:07	ga_ls8c_ard_3-2-1_099082_2024-02-28_final
2024-02-29 10:53:11	ga_ls8c_ard_3-2-1_106069_2024-02-29_final
2024-03-01 10:00:20	ga_ls8c_ard_3-2-1_097076_2024-03-01_final
2024-03-01 11:42:01	ga_ls8c_ard_3-2-1_113083_2024-03-01_final
2024-03-03 11:26:49	ga_ls8c_ard_3-2-1_111076_2024-03-03_final
2024-03-03 11:27:13	ga_ls8c_ard_3-2-1_111077_2024-03-03_final
2024-03-03 11:27:37	ga_ls8c_ard_3-2-1_111078_2024-03-03_final
2024-03-07 09:27:08	ga_ls8c_ard_3-2-1_091086_2024-03-06_final
2024-03-08 10:05:12	ga_ls8c_ard_3-2-1_098073_2024-03-08_final
2024-03-09 10:49:40	ga_ls8c_ard_3-2-1_105076_2024-03-09_final
2024-03-10 09:56:26	ga_ls8c_ard_3-2-1_096082_2024-03-10_final
2024-03-10 11:32:55	ga_ls8c_ard_3-2-1_112076_2024-03-10_final
2024-03-10 11:33:43	ga_ls8c_ard_3-2-1_112078_2024-03-10_final
2024-03-10 11:35:43	ga_ls8c_ard_3-2-1_112083_2024-03-10_final
2024-03-12 09:42:28	ga_ls8c_ard_3-2-1_094078_2024-03-12_final
2024-03-16 10:54:12	ga_ls8c_ard_3-2-1_106072_2024-03-16_final
2024-03-17 09:59:46	ga_ls8c_ard_3-2-1_097075_2024-03-17_final
2024-03-17 10:02:10	ga_ls8c_ard_3-2-1_097081_2024-03-17_final
2024-03-18 10:44:13	ga_ls8c_ard_3-2-1_104078_2024-03-18_final
2024-03-19 09:49:23	ga_ls8c_ard_3-2-1_095080_2024-03-19_final
2024-03-19 11:26:16	ga_ls8c_ard_3-2-1_111075_2024-03-19_final
2024-03-22 10:17:26	ga_ls8c_ard_3-2-1_100073_2024-03-22_final
2024-03-23 09:25:47	ga_ls8c_ard_3-2-1_091083_2024-03-22_final
2024-03-24 10:08:37	ga_ls8c_ard_3-2-1_098082_2024-03-24_final
2024-03-24 10:09:49	ga_ls8c_ard_3-2-1_098085_2024-03-24_final
2024-03-27 10:38:14	ga_ls8c_ard_3-2-1_103079_2024-03-27_final
2024-03-29 10:26:16	ga_ls8c_ard_3-2-1_101080_2024-03-29_final
2024-03-31 10:11:32	ga_ls8c_ard_3-2-1_099074_2024-03-31_final
2024-04-03 10:43:38	ga_ls8c_ard_3-2-1_104077_2024-04-03_final
2024-04-04 11:26:30	ga_ls8c_ard_3-2-1_111076_2024-04-04_final
2024-04-08 09:26:52	ga_ls8c_ard_3-2-1_091086_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years