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
2013-08-12 08:12:43	ga_ls8c_ard_3-2-1_079080_2013-08-11_final
2014-09-19 08:42:32	ga_ls8c_ard_3-2-1_084082_2014-09-18_final
2016-09-21 08:10:57	ga_ls8c_ard_3-2-1_079080_2016-09-20_final
2016-12-23 12:31:31	ga_ls8c_ard_3-2-1_122067_2016-12-23_final
2020-04-06 12:30:56	ga_ls8c_ard_3-2-1_122067_2020-04-06_final
2021-08-18 08:10:52	ga_ls8c_ard_3-2-1_079080_2021-08-17_final
2022-01-25 08:10:52	ga_ls8c_ard_3-2-1_079080_2022-01-24_final
2022-05-23 09:15:39	ga_ls8c_ard_3-2-1_089088_2022-05-22_final
2023-06-24 08:41:54	ga_ls8c_ard_3-2-1_084082_2023-06-23_final
2023-10-30 10:21:07	ga_ls8c_ard_3-2-1_100081_2023-10-30_final
2023-11-01 10:08:45	ga_ls8c_ard_3-2-1_098081_2023-11-01_final
2023-11-03 11:34:04	ga_ls8c_ard_3-2-1_112078_2023-11-03_final
2023-11-04 10:37:15	ga_ls8c_ard_3-2-1_103075_2023-11-04_final
2023-11-15 10:20:41	ga_ls8c_ard_3-2-1_100080_2023-11-15_final
2023-11-17 10:08:45	ga_ls8c_ard_3-2-1_098081_2023-11-17_final
2023-11-19 11:33:41	ga_ls8c_ard_3-2-1_112077_2023-11-19_final
2023-11-19 11:34:05	ga_ls8c_ard_3-2-1_112078_2023-11-19_final
2023-11-20 10:38:52	ga_ls8c_ard_3-2-1_103079_2023-11-20_final
2023-11-26 10:00:36	ga_ls8c_ard_3-2-1_097076_2023-11-26_final
2023-11-26 11:40:41	ga_ls8c_ard_3-2-1_113079_2023-11-26_final
2023-11-28 09:49:26	ga_ls8c_ard_3-2-1_095079_2023-11-28_final
2023-11-30 11:15:32	ga_ls8c_ard_3-2-1_109078_2023-11-30_final
2023-12-01 10:21:06	ga_ls8c_ard_3-2-1_100081_2023-12-01_final
2023-12-05 11:33:59	ga_ls8c_ard_3-2-1_112078_2023-12-05_final
2023-12-14 09:49:46	ga_ls8c_ard_3-2-1_095080_2023-12-14_final
2023-12-16 09:38:14	ga_ls8c_ard_3-2-1_093082_2023-12-16_final
2023-12-21 11:34:05	ga_ls8c_ard_3-2-1_112078_2023-12-21_final
2023-12-25 09:35:15	ga_ls8c_ard_3-2-1_092090_2023-12-25_final
2024-01-06 11:33:56	ga_ls8c_ard_3-2-1_112078_2024-01-06_final
2024-01-07 10:37:08	ga_ls8c_ard_3-2-1_103075_2024-01-07_final
2024-01-09 10:26:47	ga_ls8c_ard_3-2-1_101080_2024-01-09_final
2024-01-13 10:00:05	ga_ls8c_ard_3-2-1_097075_2024-01-13_final
2024-01-13 11:40:34	ga_ls8c_ard_3-2-1_113079_2024-01-13_final
2024-01-15 09:48:32	ga_ls8c_ard_3-2-1_095077_2024-01-15_final
2024-01-19 11:03:04	ga_ls8c_ard_3-2-1_107078_2024-01-19_final
2024-01-24 11:21:56	ga_ls8c_ard_3-2-1_110079_2024-01-24_final
2024-01-26 09:30:16	ga_ls8c_ard_3-2-1_092078_2024-01-26_final
2024-02-07 11:34:22	ga_ls8c_ard_3-2-1_112079_2024-02-07_final
2024-02-08 10:38:45	ga_ls8c_ard_3-2-1_103079_2024-02-08_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
2024-02-11 11:10:02	ga_ls8c_ard_3-2-1_108080_2024-02-11_final
2024-02-16 11:27:45	ga_ls8c_ard_3-2-1_111078_2024-02-16_final
2024-02-18 11:15:23	ga_ls8c_ard_3-2-1_109078_2024-02-18_final
2024-02-18 11:15:47	ga_ls8c_ard_3-2-1_109079_2024-02-18_final
2024-02-19 10:20:34	ga_ls8c_ard_3-2-1_100080_2024-02-19_final
2024-02-20 11:04:37	ga_ls8c_ard_3-2-1_107082_2024-02-20_final
2024-02-21 10:09:00	ga_ls8c_ard_3-2-1_098082_2024-02-21_final
2024-02-23 11:33:31	ga_ls8c_ard_3-2-1_112077_2024-02-23_final
2024-02-25 09:42:39	ga_ls8c_ard_3-2-1_094078_2024-02-25_final
2024-02-25 09:43:03	ga_ls8c_ard_3-2-1_094079_2024-02-25_final
2024-02-26 10:27:06	ga_ls8c_ard_3-2-1_101081_2024-02-26_final
2024-02-27 09:35:04	ga_ls8c_ard_3-2-1_092090_2024-02-27_final
2024-03-02 10:45:34	ga_ls8c_ard_3-2-1_104081_2024-03-02_final
2024-03-05 09:37:08	ga_ls8c_ard_3-2-1_093080_2024-03-05_final
2024-03-12 09:44:28	ga_ls8c_ard_3-2-1_094083_2024-03-12_final
2024-03-13 10:26:07	ga_ls8c_ard_3-2-1_101079_2024-03-13_final
2024-03-14 09:31:17	ga_ls8c_ard_3-2-1_092081_2024-03-14_final
2024-03-14 11:08:58	ga_ls8c_ard_3-2-1_108078_2024-03-14_final
2024-03-16 10:56:12	ga_ls8c_ard_3-2-1_106077_2024-03-16_final
2024-03-19 09:49:23	ga_ls8c_ard_3-2-1_095080_2024-03-19_final
2024-03-20 10:31:49	ga_ls8c_ard_3-2-1_102078_2024-03-20_final
2024-03-22 10:20:38	ga_ls8c_ard_3-2-1_100081_2024-03-22_final
2024-03-25 10:50:40	ga_ls8c_ard_3-2-1_105079_2024-03-25_final
2024-03-26 09:55:25	ga_ls8c_ard_3-2-1_096080_2024-03-26_final
2024-03-27 10:38:14	ga_ls8c_ard_3-2-1_103079_2024-03-27_final
2024-03-28 09:44:12	ga_ls8c_ard_3-2-1_094083_2024-03-28_final
2024-03-28 11:21:05	ga_ls8c_ard_3-2-1_110078_2024-03-28_final
2024-04-01 10:55:59	ga_ls8c_ard_3-2-1_106077_2024-04-01_final
2024-04-02 09:59:34	ga_ls8c_ard_3-2-1_097075_2024-04-02_final
2024-04-02 11:38:27	ga_ls8c_ard_3-2-1_113075_2024-04-02_final
2024-04-02 11:39:15	ga_ls8c_ard_3-2-1_113077_2024-04-02_final
2024-04-05 10:31:16	ga_ls8c_ard_3-2-1_102077_2024-04-05_final
2024-04-05 10:32:04	ga_ls8c_ard_3-2-1_102079_2024-04-05_final
2024-04-11 09:54:57	ga_ls8c_ard_3-2-1_096079_2024-04-11_final
2024-04-12 10:36:37	ga_ls8c_ard_3-2-1_103075_2024-04-12_final
2024-04-12 10:37:01	ga_ls8c_ard_3-2-1_103076_2024-04-12_final
2024-04-13 09:40:59	ga_ls8c_ard_3-2-1_094075_2024-04-13_final
2024-04-13 09:41:23	ga_ls8c_ard_3-2-1_094076_2024-04-13_final
2024-04-13 11:21:04	ga_ls8c_ard_3-2-1_110078_2024-04-13_final
2024-04-17 10:55:53	ga_ls8c_ard_3-2-1_106077_2024-04-17_final
2024-04-17 10:56:17	ga_ls8c_ard_3-2-1_106078_2024-04-17_final
2024-04-18 11:39:07	ga_ls8c_ard_3-2-1_113077_2024-04-18_final
2024-04-20 09:49:03	ga_ls8c_ard_3-2-1_095080_2024-04-20_final
2024-04-21 10:31:07	ga_ls8c_ard_3-2-1_102077_2024-04-21_final
2024-04-22 11:15:59	ga_ls8c_ard_3-2-1_109081_2024-04-22_final
2024-04-25 10:07:59	ga_ls8c_ard_3-2-1_098081_2024-04-25_final
2024-04-27 09:55:12	ga_ls8c_ard_3-2-1_096080_2024-04-27_final
2024-04-27 11:32:05	ga_ls8c_ard_3-2-1_112075_2024-04-27_final
2024-04-28 10:36:27	ga_ls8c_ard_3-2-1_103075_2024-04-28_final
2024-04-28 10:38:03	ga_ls8c_ard_3-2-1_103079_2024-04-28_final
2024-05-03 10:55:42	ga_ls8c_ard_3-2-1_106077_2024-05-03_final
2024-05-03 10:58:06	ga_ls8c_ard_3-2-1_106083_2024-05-03_final
2024-05-04 11:38:58	ga_ls8c_ard_3-2-1_113077_2024-05-04_final
2024-05-05 10:42:56	ga_ls8c_ard_3-2-1_104076_2024-05-05_final
2024-05-06 11:26:11	ga_ls8c_ard_3-2-1_111076_2024-05-06_final
2024-05-06 11:27:47	ga_ls8c_ard_3-2-1_111080_2024-05-06_final
2024-05-07 10:30:34	ga_ls8c_ard_3-2-1_102076_2024-05-07_final
2024-05-08 11:15:48	ga_ls8c_ard_3-2-1_109081_2024-05-08_final
2024-05-11 10:08:11	ga_ls8c_ard_3-2-1_098082_2024-05-11_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