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
2017-11-11 08:10:59	ga_ls8c_ard_3-2-1_079080_2017-11-10_final
2017-11-27 08:10:53	ga_ls8c_ard_3-2-1_079080_2017-11-26_final
2020-08-15 08:10:43	ga_ls8c_ard_3-2-1_079080_2020-08-14_final
2021-12-28 12:37:44	ga_ls8c_ard_3-2-1_123067_2021-12-28_final
2022-01-12 11:57:37	ga_ls8c_ard_3-2-1_116075_2022-01-12_final
2022-05-07 09:15:34	ga_ls8c_ard_3-2-1_089088_2022-05-06_final
2022-12-30 11:57:48	ga_ls8c_ard_3-2-1_116075_2022-12-30_final
2023-12-14 09:47:47	ga_ls8c_ard_3-2-1_095075_2023-12-14_final
2023-12-15 10:32:15	ga_ls8c_ard_3-2-1_102078_2023-12-15_final
2023-12-15 10:33:03	ga_ls8c_ard_3-2-1_102080_2023-12-15_final
2023-12-16 11:15:55	ga_ls8c_ard_3-2-1_109079_2023-12-16_final
2023-12-17 10:21:06	ga_ls8c_ard_3-2-1_100081_2023-12-17_final
2023-12-19 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-12-19_final
2023-12-19 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-12-19_final
2023-12-21 09:54:00	ga_ls8c_ard_3-2-1_096075_2023-12-21_final
2023-12-21 11:33:17	ga_ls8c_ard_3-2-1_112076_2023-12-21_final
2023-12-23 09:42:50	ga_ls8c_ard_3-2-1_094078_2023-12-23_final
2023-12-23 11:21:43	ga_ls8c_ard_3-2-1_110078_2023-12-23_final
2023-12-24 10:22:54	ga_ls8c_ard_3-2-1_101070_2023-12-24_final
2023-12-29 10:44:59	ga_ls8c_ard_3-2-1_104079_2023-12-29_final
2023-12-30 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-12-30_final
2023-12-30 11:28:14	ga_ls8c_ard_3-2-1_111079_2023-12-30_final
2023-12-31 10:32:12	ga_ls8c_ard_3-2-1_102078_2023-12-31_final
2024-01-02 10:21:01	ga_ls8c_ard_3-2-1_100081_2024-01-02_final
2024-01-06 09:53:51	ga_ls8c_ard_3-2-1_096075_2024-01-06_final
2024-01-06 11:33:08	ga_ls8c_ard_3-2-1_112076_2024-01-06_final
2024-01-07 10:37:08	ga_ls8c_ard_3-2-1_103075_2024-01-07_final
2024-01-13 10:03:17	ga_ls8c_ard_3-2-1_097083_2024-01-13_final
2024-01-15 09:49:19	ga_ls8c_ard_3-2-1_095079_2024-01-15_final
2024-01-16 10:30:59	ga_ls8c_ard_3-2-1_102075_2024-01-16_final
2024-01-18 11:58:18	ga_ls8c_ard_3-2-1_116077_2024-01-18_final
2024-01-19 11:03:04	ga_ls8c_ard_3-2-1_107078_2024-01-19_final
2024-01-22 09:54:39	ga_ls8c_ard_3-2-1_096077_2024-01-22_final
2024-01-22 11:33:08	ga_ls8c_ard_3-2-1_112076_2024-01-22_final
2024-01-24 09:41:52	ga_ls8c_ard_3-2-1_094076_2024-01-24_final
2024-01-28 10:58:47	ga_ls8c_ard_3-2-1_106083_2024-01-28_final
2024-01-29 10:02:47	ga_ls8c_ard_3-2-1_097082_2024-01-29_final
2024-01-30 10:44:52	ga_ls8c_ard_3-2-1_104079_2024-01-30_final
2024-01-31 11:27:20	ga_ls8c_ard_3-2-1_111077_2024-01-31_final
2024-01-31 11:28:08	ga_ls8c_ard_3-2-1_111079_2024-01-31_final
2024-01-31 11:28:32	ga_ls8c_ard_3-2-1_111080_2024-01-31_final
2024-02-01 10:32:07	ga_ls8c_ard_3-2-1_102078_2024-02-01_final
2024-02-01 10:32:31	ga_ls8c_ard_3-2-1_102079_2024-02-01_final
2024-02-02 11:15:48	ga_ls8c_ard_3-2-1_109079_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
2024-02-05 10:08:38	ga_ls8c_ard_3-2-1_098081_2024-02-05_final
2024-02-05 10:09:02	ga_ls8c_ard_3-2-1_098082_2024-02-05_final
2024-02-08 10:37:09	ga_ls8c_ard_3-2-1_103075_2024-02-08_final
2024-02-09 09:43:07	ga_ls8c_ard_3-2-1_094079_2024-02-09_final
2024-02-09 11:22:00	ga_ls8c_ard_3-2-1_110079_2024-02-09_final
2024-02-11 09:35:09	ga_ls8c_ard_3-2-1_092090_2024-02-11_final
2024-02-14 10:02:50	ga_ls8c_ard_3-2-1_097082_2024-02-14_final
2024-02-14 11:40:31	ga_ls8c_ard_3-2-1_113079_2024-02-14_final
2024-02-16 09:48:04	ga_ls8c_ard_3-2-1_095076_2024-02-16_final
2024-02-16 11:27:45	ga_ls8c_ard_3-2-1_111078_2024-02-16_final
2024-02-18 11:15:47	ga_ls8c_ard_3-2-1_109079_2024-02-18_final
2024-02-19 11:58:15	ga_ls8c_ard_3-2-1_116077_2024-02-19_final
2024-02-20 11:04:37	ga_ls8c_ard_3-2-1_107082_2024-02-20_final
2024-02-21 11:47:29	ga_ls8c_ard_3-2-1_114081_2024-02-21_final
2024-02-22 10:50:39	ga_ls8c_ard_3-2-1_105078_2024-02-22_final
2024-02-24 10:38:41	ga_ls8c_ard_3-2-1_103079_2024-02-24_final
2024-02-25 09:42:39	ga_ls8c_ard_3-2-1_094078_2024-02-25_final
2024-02-25 09:44:39	ga_ls8c_ard_3-2-1_094083_2024-02-25_final
2024-02-25 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-02-25_final
2024-03-03 08:10:39	ga_ls8c_ard_3-2-1_079080_2024-03-02_final
2024-03-06 11:58:04	ga_ls8c_ard_3-2-1_116077_2024-03-06_final
2024-03-08 10:08:24	ga_ls8c_ard_3-2-1_098081_2024-03-08_final
2024-03-10 09:55:38	ga_ls8c_ard_3-2-1_096080_2024-03-10_final
2024-03-10 11:34:07	ga_ls8c_ard_3-2-1_112079_2024-03-10_final
2024-03-12 09:41:40	ga_ls8c_ard_3-2-1_094076_2024-03-12_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
2024-03-15 10:14:32	ga_ls8c_ard_3-2-1_099081_2024-03-15_final
2024-03-17 10:00:10	ga_ls8c_ard_3-2-1_097076_2024-03-17_final
2024-03-17 10:00:34	ga_ls8c_ard_3-2-1_097077_2024-03-17_final
2024-03-17 11:39:27	ga_ls8c_ard_3-2-1_113077_2024-03-17_final
2024-03-17 11:39:51	ga_ls8c_ard_3-2-1_113078_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 09:51:46	ga_ls8c_ard_3-2-1_095086_2024-03-19_final
2024-03-22 10:20:38	ga_ls8c_ard_3-2-1_100081_2024-03-22_final
2024-03-27 10:38:14	ga_ls8c_ard_3-2-1_103079_2024-03-27_final
2024-03-29 10:22:17	ga_ls8c_ard_3-2-1_101070_2024-03-29_final
2024-03-29 10:25:52	ga_ls8c_ard_3-2-1_101079_2024-03-29_final
2024-04-02 10:00:22	ga_ls8c_ard_3-2-1_097077_2024-04-02_final
2024-04-02 10:01:58	ga_ls8c_ard_3-2-1_097081_2024-04-02_final
2024-04-02 10:02:46	ga_ls8c_ard_3-2-1_097083_2024-04-02_final
2024-04-02 11:38:27	ga_ls8c_ard_3-2-1_113075_2024-04-02_final
2024-04-02 11:38:51	ga_ls8c_ard_3-2-1_113076_2024-04-02_final
2024-04-02 11:39:15	ga_ls8c_ard_3-2-1_113077_2024-04-02_final
2024-04-02 11:40:03	ga_ls8c_ard_3-2-1_113079_2024-04-02_final
2024-04-04 11:27:18	ga_ls8c_ard_3-2-1_111078_2024-04-04_final
2024-04-04 11:27:41	ga_ls8c_ard_3-2-1_111079_2024-04-04_final
2024-04-05 10:32:04	ga_ls8c_ard_3-2-1_102079_2024-04-05_final
2024-04-06 11:15:20	ga_ls8c_ard_3-2-1_109079_2024-04-06_final
2024-04-07 10:20:30	ga_ls8c_ard_3-2-1_100081_2024-04-07_final
2024-04-07 11:57:47	ga_ls8c_ard_3-2-1_116077_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