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
2015-12-28 12:37:35	ga_ls8c_ard_3-2-1_123067_2015-12-28_final
2021-03-15 12:37:18	ga_ls8c_ard_3-2-1_123067_2021-03-15_final
2023-03-20 08:42:19	ga_ls8c_ard_3-2-1_084082_2023-03-19_final
2023-10-11 11:27:51	ga_ls8c_ard_3-2-1_111078_2023-10-11_final
2023-10-15 09:24:15	ga_ls8c_ard_3-2-1_091078_2023-10-14_final
2023-10-30 10:20:19	ga_ls8c_ard_3-2-1_100079_2023-10-30_final
2023-11-03 09:57:11	ga_ls8c_ard_3-2-1_096083_2023-11-03_final
2023-11-07 09:30:50	ga_ls8c_ard_3-2-1_092079_2023-11-07_final
2023-11-14 09:36:13	ga_ls8c_ard_3-2-1_093077_2023-11-14_final
2023-11-21 11:23:44	ga_ls8c_ard_3-2-1_110083_2023-11-21_final
2023-11-22 10:26:31	ga_ls8c_ard_3-2-1_101079_2023-11-22_final
2023-11-26 11:40:17	ga_ls8c_ard_3-2-1_113078_2023-11-26_final
2023-11-27 10:41:52	ga_ls8c_ard_3-2-1_104071_2023-11-27_final
2023-11-30 09:37:51	ga_ls8c_ard_3-2-1_093081_2023-11-30_final
2023-12-02 11:04:44	ga_ls8c_ard_3-2-1_107082_2023-12-02_final
2023-12-03 10:09:06	ga_ls8c_ard_3-2-1_098082_2023-12-03_final
2023-12-05 11:34:47	ga_ls8c_ard_3-2-1_112080_2023-12-05_final
2023-12-06 10:36:45	ga_ls8c_ard_3-2-1_103074_2023-12-06_final
2023-12-07 09:42:18	ga_ls8c_ard_3-2-1_094077_2023-12-07_final
2023-12-07 09:43:54	ga_ls8c_ard_3-2-1_094081_2023-12-07_final
2023-12-08 10:26:23	ga_ls8c_ard_3-2-1_101079_2023-12-08_final
2023-12-13 10:41:48	ga_ls8c_ard_3-2-1_104071_2023-12-13_final
2023-12-14 11:28:39	ga_ls8c_ard_3-2-1_111080_2023-12-14_final
2023-12-15 10:32:39	ga_ls8c_ard_3-2-1_102079_2023-12-15_final
2023-12-16 11:15:07	ga_ls8c_ard_3-2-1_109077_2023-12-16_final
2023-12-21 09:56:24	ga_ls8c_ard_3-2-1_096081_2023-12-21_final
2023-12-21 09:56:48	ga_ls8c_ard_3-2-1_096082_2023-12-21_final
2023-12-22 10:38:27	ga_ls8c_ard_3-2-1_103078_2023-12-22_final
2023-12-24 10:26:29	ga_ls8c_ard_3-2-1_101079_2023-12-24_final
2023-12-25 11:10:09	ga_ls8c_ard_3-2-1_108080_2023-12-25_final
2023-12-28 10:02:56	ga_ls8c_ard_3-2-1_097082_2023-12-28_final
2023-12-29 10:41:24	ga_ls8c_ard_3-2-1_104070_2023-12-29_final
2023-12-30 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-12-30_final
2023-12-31 10:31:00	ga_ls8c_ard_3-2-1_102075_2023-12-31_final
2024-01-01 09:37:46	ga_ls8c_ard_3-2-1_093081_2024-01-01_final
2024-01-01 11:16:39	ga_ls8c_ard_3-2-1_109081_2024-01-01_final
2024-01-03 11:02:39	ga_ls8c_ard_3-2-1_107077_2024-01-03_final
2024-01-15 09:49:43	ga_ls8c_ard_3-2-1_095080_2024-01-15_final
2024-01-21 10:51:05	ga_ls8c_ard_3-2-1_105079_2024-01-21_final
2024-01-21 10:51:29	ga_ls8c_ard_3-2-1_105080_2024-01-21_final
2024-01-22 09:56:39	ga_ls8c_ard_3-2-1_096082_2024-01-22_final
2024-01-22 11:33:08	ga_ls8c_ard_3-2-1_112076_2024-01-22_final
2024-01-24 09:43:03	ga_ls8c_ard_3-2-1_094079_2024-01-24_final
2024-01-24 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-01-24_final
2024-01-25 10:24:42	ga_ls8c_ard_3-2-1_101075_2024-01-25_final
2024-01-25 10:26:18	ga_ls8c_ard_3-2-1_101079_2024-01-25_final
2024-01-25 10:27:06	ga_ls8c_ard_3-2-1_101081_2024-01-25_final
2024-01-29 09:58:24	ga_ls8c_ard_3-2-1_097071_2024-01-29_final
2024-01-29 10:02:23	ga_ls8c_ard_3-2-1_097081_2024-01-29_final
2024-01-30 10:43:16	ga_ls8c_ard_3-2-1_104075_2024-01-30_final
2024-01-31 11:27:20	ga_ls8c_ard_3-2-1_111077_2024-01-31_final
2024-02-02 11:16:35	ga_ls8c_ard_3-2-1_109081_2024-02-02_final
2024-02-09 09:44:43	ga_ls8c_ard_3-2-1_094083_2024-02-09_final
2024-02-13 10:56:28	ga_ls8c_ard_3-2-1_106077_2024-02-13_final
2024-02-13 10:58:04	ga_ls8c_ard_3-2-1_106081_2024-02-13_final
2024-02-14 11:39:19	ga_ls8c_ard_3-2-1_113076_2024-02-14_final
2024-02-16 09:51:39	ga_ls8c_ard_3-2-1_095085_2024-02-16_final
2024-02-23 09:55:50	ga_ls8c_ard_3-2-1_096080_2024-02-23_final
2024-02-23 09:56:13	ga_ls8c_ard_3-2-1_096081_2024-02-23_final
2024-02-23 11:33:07	ga_ls8c_ard_3-2-1_112076_2024-02-23_final
2024-02-25 09:43:27	ga_ls8c_ard_3-2-1_094080_2024-02-25_final
2024-02-27 09:30:40	ga_ls8c_ard_3-2-1_092079_2024-02-27_final
2024-03-03 09:51:32	ga_ls8c_ard_3-2-1_095085_2024-03-03_final
2024-03-10 09:56:26	ga_ls8c_ard_3-2-1_096082_2024-03-10_final
2024-03-10 09:56:50	ga_ls8c_ard_3-2-1_096083_2024-03-10_final
2024-03-12 09:44:52	ga_ls8c_ard_3-2-1_094084_2024-03-12_final
2024-03-17 11:40:15	ga_ls8c_ard_3-2-1_113079_2024-03-17_final
2024-03-19 09:50:10	ga_ls8c_ard_3-2-1_095082_2024-03-19_final
2024-03-19 09:50:58	ga_ls8c_ard_3-2-1_095084_2024-03-19_final
2024-03-21 09:35:47	ga_ls8c_ard_3-2-1_093077_2024-03-21_final
2024-03-21 11:15:28	ga_ls8c_ard_3-2-1_109079_2024-03-21_final
2024-03-22 11:57:55	ga_ls8c_ard_3-2-1_116077_2024-03-22_final
2024-03-26 09:56:12	ga_ls8c_ard_3-2-1_096082_2024-03-26_final
2024-03-28 09:43:24	ga_ls8c_ard_3-2-1_094081_2024-03-28_final
2024-04-02 10:02:46	ga_ls8c_ard_3-2-1_097083_2024-04-02_final
2024-04-03 10:40:26	ga_ls8c_ard_3-2-1_104069_2024-04-03_final
2024-04-03 10:40:50	ga_ls8c_ard_3-2-1_104070_2024-04-03_final
2024-04-04 09:47:37	ga_ls8c_ard_3-2-1_095076_2024-04-04_final
2024-04-04 09:49:36	ga_ls8c_ard_3-2-1_095081_2024-04-04_final
2024-04-06 11:16:08	ga_ls8c_ard_3-2-1_109081_2024-04-06_final
2024-04-07 10:19:42	ga_ls8c_ard_3-2-1_100079_2024-04-07_final
2024-04-08 11:02:10	ga_ls8c_ard_3-2-1_107077_2024-04-08_final
2024-04-09 10:06:08	ga_ls8c_ard_3-2-1_098076_2024-04-09_final
2024-04-11 09:56:09	ga_ls8c_ard_3-2-1_096082_2024-04-11_final
2024-04-13 09:42:59	ga_ls8c_ard_3-2-1_094080_2024-04-13_final
2024-04-13 11:20:40	ga_ls8c_ard_3-2-1_110077_2024-04-13_final
2024-04-17 10:56:41	ga_ls8c_ard_3-2-1_106079_2024-04-17_final
2024-04-18 10:00:14	ga_ls8c_ard_3-2-1_097077_2024-04-18_final
2024-04-19 10:42:41	ga_ls8c_ard_3-2-1_104075_2024-04-19_final
2024-04-22 09:38:18	ga_ls8c_ard_3-2-1_093084_2024-04-22_final
2024-04-22 11:12:23	ga_ls8c_ard_3-2-1_109072_2024-04-22_final
2024-04-22 11:14:23	ga_ls8c_ard_3-2-1_109077_2024-04-22_final
2024-04-27 09:56:00	ga_ls8c_ard_3-2-1_096082_2024-04-27_final
2024-04-28 10:38:26	ga_ls8c_ard_3-2-1_103080_2024-04-28_final
2024-05-01 11:08:53	ga_ls8c_ard_3-2-1_108079_2024-05-01_final
2024-05-05 10:40:33	ga_ls8c_ard_3-2-1_104070_2024-05-05_final
2024-05-05 10:41:20	ga_ls8c_ard_3-2-1_104072_2024-05-05_final
2024-05-05 10:42:32	ga_ls8c_ard_3-2-1_104075_2024-05-05_final
2024-05-08 09:34:56	ga_ls8c_ard_3-2-1_093076_2024-05-08_final
2024-05-08 09:37:19	ga_ls8c_ard_3-2-1_093082_2024-05-08_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