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
2018-11-17 08:42:21	ga_ls8c_ard_3-2-1_084082_2018-11-16_final
2022-02-26 08:10:44	ga_ls8c_ard_3-2-1_079080_2022-02-25_final
2022-03-27 09:22:52	ga_ls8c_ard_3-2-1_090091_2022-03-26_final
2023-02-02 10:09:19	ga_ls8c_ard_3-2-1_098082_2023-02-02_final
2023-02-03 09:12:54	ga_ls8c_ard_3-2-1_089080_2023-02-02_final
2023-02-03 09:14:30	ga_ls8c_ard_3-2-1_089084_2023-02-02_final
2023-04-07 11:45:29	ga_ls8c_ard_3-2-1_114077_2023-04-07_final
2023-04-15 09:17:51	ga_ls8c_ard_3-2-1_090079_2023-04-14_final
2023-04-30 11:50:17	ga_ls8c_ard_3-2-1_115074_2023-04-30_final
2023-04-30 11:52:41	ga_ls8c_ard_3-2-1_115080_2023-04-30_final
2023-05-09 11:46:23	ga_ls8c_ard_3-2-1_114080_2023-05-09_final
2023-05-13 11:23:35	ga_ls8c_ard_3-2-1_110085_2023-05-13_final
2023-05-16 11:52:28	ga_ls8c_ard_3-2-1_115080_2023-05-16_final
2023-05-17 09:17:33	ga_ls8c_ard_3-2-1_090079_2023-05-16_final
2023-05-20 11:28:57	ga_ls8c_ard_3-2-1_111083_2023-05-20_final
2023-05-22 11:14:37	ga_ls8c_ard_3-2-1_109078_2023-05-22_final
2023-05-25 11:44:20	ga_ls8c_ard_3-2-1_114075_2023-05-25_final
2023-05-26 09:15:01	ga_ls8c_ard_3-2-1_089088_2023-05-25_final
2023-05-27 09:51:54	ga_ls8c_ard_3-2-1_096072_2023-05-27_final
2023-06-04 10:42:58	ga_ls8c_ard_3-2-1_104076_2023-06-04_final
2023-06-09 09:24:41	ga_ls8c_ard_3-2-1_091081_2023-06-08_final
2023-06-11 09:11:57	ga_ls8c_ard_3-2-1_089080_2023-06-10_final
2023-06-11 10:48:02	ga_ls8c_ard_3-2-1_105073_2023-06-11_final
2023-06-13 10:38:29	ga_ls8c_ard_3-2-1_103080_2023-06-13_final
2023-06-14 11:20:57	ga_ls8c_ard_3-2-1_110078_2023-06-14_final
2023-06-15 10:24:32	ga_ls8c_ard_3-2-1_101076_2023-06-15_final
2023-06-21 09:50:40	ga_ls8c_ard_3-2-1_095084_2023-06-21_final
2023-06-25 09:24:47	ga_ls8c_ard_3-2-1_091081_2023-06-24_final
2023-06-27 09:16:03	ga_ls8c_ard_3-2-1_089090_2023-06-26_final
2023-07-09 09:38:31	ga_ls8c_ard_3-2-1_093084_2023-07-09_final
2023-07-13 10:49:54	ga_ls8c_ard_3-2-1_105077_2023-07-13_final
2023-07-21 10:01:39	ga_ls8c_ard_3-2-1_097080_2023-07-21_final
2023-07-21 11:41:20	ga_ls8c_ard_3-2-1_113082_2023-07-21_final
2023-07-23 09:47:44	ga_ls8c_ard_3-2-1_095076_2023-07-23_final
2023-07-27 09:25:04	ga_ls8c_ard_3-2-1_091081_2023-07-26_final
2023-07-29 10:48:25	ga_ls8c_ard_3-2-1_105073_2023-07-29_final
2023-07-29 10:50:01	ga_ls8c_ard_3-2-1_105077_2023-07-29_final
2023-08-01 11:22:32	ga_ls8c_ard_3-2-1_110081_2023-08-01_final
2023-08-02 10:24:32	ga_ls8c_ard_3-2-1_101075_2023-08-02_final
2023-08-05 10:56:38	ga_ls8c_ard_3-2-1_106078_2023-08-05_final
2023-08-06 09:59:01	ga_ls8c_ard_3-2-1_097073_2023-08-06_final
2023-08-06 10:01:49	ga_ls8c_ard_3-2-1_097080_2023-08-06_final
2023-08-07 10:41:29	ga_ls8c_ard_3-2-1_104071_2023-08-07_final
2023-08-10 11:17:10	ga_ls8c_ard_3-2-1_109083_2023-08-10_final
2023-08-21 10:54:22	ga_ls8c_ard_3-2-1_106072_2023-08-21_final
2023-08-28 11:04:33	ga_ls8c_ard_3-2-1_107082_2023-08-28_final
2023-08-29 11:46:37	ga_ls8c_ard_3-2-1_114079_2023-08-29_final
2023-09-02 09:41:49	ga_ls8c_ard_3-2-1_094076_2023-09-02_final
2023-09-07 11:41:36	ga_ls8c_ard_3-2-1_113082_2023-09-07_final
2023-09-10 10:30:52	ga_ls8c_ard_3-2-1_102075_2023-09-10_final
2023-09-19 10:24:21	ga_ls8c_ard_3-2-1_101074_2023-09-19_final
2023-09-19 10:26:21	ga_ls8c_ard_3-2-1_101079_2023-09-19_final
2023-09-20 09:29:32	ga_ls8c_ard_3-2-1_092076_2023-09-19_final
2023-09-20 09:30:44	ga_ls8c_ard_3-2-1_092079_2023-09-20_final
2023-09-20 09:32:43	ga_ls8c_ard_3-2-1_092084_2023-09-20_final
2023-09-22 09:18:46	ga_ls8c_ard_3-2-1_090080_2023-09-21_final
2023-09-24 10:41:19	ga_ls8c_ard_3-2-1_104070_2023-09-24_final
2023-09-25 11:27:47	ga_ls8c_ard_3-2-1_111078_2023-09-25_final
2023-09-25 11:28:34	ga_ls8c_ard_3-2-1_111080_2023-09-25_final
2023-09-27 11:17:26	ga_ls8c_ard_3-2-1_109083_2023-09-27_final
2023-10-11 11:29:26	ga_ls8c_ard_3-2-1_111082_2023-10-11_final
2023-10-16 10:07:54	ga_ls8c_ard_3-2-1_098079_2023-10-16_final
2023-10-17 10:51:33	ga_ls8c_ard_3-2-1_105080_2023-10-17_final
2023-10-24 09:18:29	ga_ls8c_ard_3-2-1_090079_2023-10-23_final
2023-10-25 11:41:26	ga_ls8c_ard_3-2-1_113081_2023-10-25_final
2023-10-27 09:51:24	ga_ls8c_ard_3-2-1_095084_2023-10-27_final
2023-10-29 11:15:08	ga_ls8c_ard_3-2-1_109077_2023-10-29_final
2023-10-30 10:18:43	ga_ls8c_ard_3-2-1_100075_2023-10-30_final
2023-11-03 09:52:24	ga_ls8c_ard_3-2-1_096071_2023-11-03_final
2023-11-10 11:42:09	ga_ls8c_ard_3-2-1_113083_2023-11-10_final
2023-11-14 09:35:49	ga_ls8c_ard_3-2-1_093076_2023-11-14_final
2023-11-17 10:06:21	ga_ls8c_ard_3-2-1_098075_2023-11-17_final
2023-12-06 10:39:08	ga_ls8c_ard_3-2-1_103080_2023-12-06_final
2023-12-07 09:46:18	ga_ls8c_ard_3-2-1_094087_2023-12-07_final
2023-12-10 10:12:03	ga_ls8c_ard_3-2-1_099074_2023-12-10_final
2023-12-10 11:50:56	ga_ls8c_ard_3-2-1_115074_2023-12-10_final
2023-12-24 10:26:06	ga_ls8c_ard_3-2-1_101078_2023-12-24_final
2023-12-25 09:31:16	ga_ls8c_ard_3-2-1_092080_2023-12-25_final
2023-12-25 11:08:33	ga_ls8c_ard_3-2-1_108076_2023-12-25_final
2023-12-30 09:49:45	ga_ls8c_ard_3-2-1_095080_2023-12-30_final
2023-12-30 11:27:02	ga_ls8c_ard_3-2-1_111076_2023-12-30_final
2024-01-03 09:24:58	ga_ls8c_ard_3-2-1_091080_2024-01-02_final
2024-01-07 10:39:31	ga_ls8c_ard_3-2-1_103081_2024-01-07_final
2024-01-10 11:06:28	ga_ls8c_ard_3-2-1_108071_2024-01-10_final
2024-01-15 09:49:43	ga_ls8c_ard_3-2-1_095080_2024-01-15_final
2024-01-15 11:27:25	ga_ls8c_ard_3-2-1_111077_2024-01-15_final
2024-01-19 09:28:34	ga_ls8c_ard_3-2-1_091089_2024-01-18_final
2024-01-23 10:37:06	ga_ls8c_ard_3-2-1_103075_2024-01-23_final
2024-01-24 09:43:27	ga_ls8c_ard_3-2-1_094080_2024-01-24_final
2024-01-24 11:22:44	ga_ls8c_ard_3-2-1_110081_2024-01-24_final
2024-02-11 11:10:50	ga_ls8c_ard_3-2-1_108082_2024-02-11_final
2024-02-14 10:00:26	ga_ls8c_ard_3-2-1_097076_2024-02-14_final
2024-02-17 10:30:56	ga_ls8c_ard_3-2-1_102075_2024-02-17_final
2024-02-18 09:37:18	ga_ls8c_ard_3-2-1_093080_2024-02-18_final
2024-02-23 11:35:30	ga_ls8c_ard_3-2-1_112082_2024-02-23_final
2024-02-24 10:36:17	ga_ls8c_ard_3-2-1_103073_2024-02-24_final
2024-03-06 11:57:16	ga_ls8c_ard_3-2-1_116075_2024-03-06_final
2024-03-08 10:07:36	ga_ls8c_ard_3-2-1_098079_2024-03-08_final
2024-03-23 09:26:11	ga_ls8c_ard_3-2-1_091084_2024-03-22_final
2024-04-07 10:17:18	ga_ls8c_ard_3-2-1_100073_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