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
2021-05-23 11:23:58	ga_ls8c_ard_3-2-0_110085_2021-05-23_final
2021-05-28 11:39:21	ga_ls8c_ard_3-2-0_113077_2021-05-28_final
2021-06-03 09:23:50	ga_ls8c_ard_3-2-0_091078_2021-06-02_final
2021-06-13 09:59:47	ga_ls8c_ard_3-2-0_097075_2021-06-13_final
2021-06-13 11:39:04	ga_ls8c_ard_3-2-0_113076_2021-06-13_final
2021-06-15 11:27:55	ga_ls8c_ard_3-2-0_111079_2021-06-15_final
2021-06-29 09:59:51	ga_ls8c_ard_3-2-0_097075_2021-06-29_final
2021-07-01 11:27:59	ga_ls8c_ard_3-2-0_111079_2021-07-01_final
2021-07-22 10:06:07	ga_ls8c_ard_3-2-0_098075_2021-07-22_final
2021-07-22 10:06:31	ga_ls8c_ard_3-2-0_098076_2021-07-22_final
2021-07-24 11:33:03	ga_ls8c_ard_3-2-0_112076_2021-07-24_final
2021-08-02 11:28:09	ga_ls8c_ard_3-2-0_111079_2021-08-02_final
2021-08-03 10:31:20	ga_ls8c_ard_3-2-0_102076_2021-08-03_final
2021-08-09 09:55:05	ga_ls8c_ard_3-2-0_096078_2021-08-09_final
2021-08-11 09:42:44	ga_ls8c_ard_3-2-0_094078_2021-08-11_final
2021-08-23 10:06:43	ga_ls8c_ard_3-2-0_098076_2021-08-23_final
2021-08-25 09:55:10	ga_ls8c_ard_3-2-0_096078_2021-08-25_final
2021-08-27 11:21:42	ga_ls8c_ard_3-2-0_110078_2021-08-27_final
2021-09-10 09:55:15	ga_ls8c_ard_3-2-0_096078_2021-09-10_final
2021-09-17 10:00:39	ga_ls8c_ard_3-2-0_097076_2021-09-17_final
2021-09-21 09:38:20	ga_ls8c_ard_3-2-0_093082_2021-09-21_final
2021-09-26 09:54:30	ga_ls8c_ard_3-2-0_096076_2021-09-26_final
2021-09-26 09:55:18	ga_ls8c_ard_3-2-0_096078_2021-09-26_final
2021-09-26 11:33:23	ga_ls8c_ard_3-2-0_112076_2021-09-26_final
2021-09-26 11:33:47	ga_ls8c_ard_3-2-0_112077_2021-09-26_final
2021-09-29 10:27:01	ga_ls8c_ard_3-2-0_101080_2021-09-29_final
2021-09-30 11:09:29	ga_ls8c_ard_3-2-0_108078_2021-09-30_final
2021-10-04 10:45:12	ga_ls8c_ard_3-2-0_104079_2021-10-04_final
2021-10-08 11:58:35	ga_ls8c_ard_3-2-0_116077_2021-10-08_final
2021-10-18 09:18:19	ga_ls8c_ard_3-2-0_090078_2021-10-17_final
2021-10-21 09:48:50	ga_ls8c_ard_3-2-0_095077_2021-10-21_final
2021-10-28 09:54:37	ga_ls8c_ard_3-2-0_096076_2021-10-28_final
2021-10-28 09:55:49	ga_ls8c_ard_3-2-0_096079_2021-10-28_final
2021-11-13 09:57:20	ga_ls8c_ard_3-2-0_096083_2021-11-13_final
2021-11-20 10:00:18	ga_ls8c_ard_3-2-0_097075_2021-11-20_final
2021-12-08 09:49:09	ga_ls8c_ard_3-2-1_095078_2021-12-08_final
2021-12-15 09:54:31	ga_ls8c_ard_3-2-1_096076_2021-12-15_final
2021-12-22 10:00:17	ga_ls8c_ard_3-2-1_097075_2021-12-22_final
2021-12-23 10:45:08	ga_ls8c_ard_3-2-1_104079_2021-12-23_final
2022-01-02 09:42:52	ga_ls8c_ard_3-2-1_094078_2022-01-02_final
2022-01-07 10:00:12	ga_ls8c_ard_3-2-1_097075_2022-01-07_final
2022-01-09 09:48:38	ga_ls8c_ard_3-2-1_095077_2022-01-09_final
2022-01-16 09:54:24	ga_ls8c_ard_3-2-1_096076_2022-01-16_final
2022-02-07 10:58:06	ga_ls8c_ard_3-2-1_106081_2022-02-07_final
2022-02-10 09:48:30	ga_ls8c_ard_3-2-1_095077_2022-02-10_final
2022-02-19 09:43:03	ga_ls8c_ard_3-2-1_094079_2022-02-19_final
2022-03-05 09:54:11	ga_ls8c_ard_3-2-1_096076_2022-03-05_final
2022-03-05 11:33:28	ga_ls8c_ard_3-2-1_112077_2022-03-05_final
2022-03-07 09:42:37	ga_ls8c_ard_3-2-1_094078_2022-03-07_final
2022-03-07 09:43:01	ga_ls8c_ard_3-2-1_094079_2022-03-07_final
2022-03-12 10:00:19	ga_ls8c_ard_3-2-1_097076_2022-03-12_final
2022-03-21 09:54:03	ga_ls8c_ard_3-2-1_096076_2022-03-21_final
2022-03-23 09:42:27	ga_ls8c_ard_3-2-1_094078_2022-03-23_final
2022-03-25 11:08:33	ga_ls8c_ard_3-2-1_108077_2022-03-25_final
2022-04-10 11:08:33	ga_ls8c_ard_3-2-1_108077_2022-04-10_final
2022-04-13 09:59:48	ga_ls8c_ard_3-2-1_097075_2022-04-13_final
2022-04-18 11:57:37	ga_ls8c_ard_3-2-1_116076_2022-04-18_final
2022-04-20 10:06:22	ga_ls8c_ard_3-2-1_098076_2022-04-20_final
2022-05-08 11:34:08	ga_ls8c_ard_3-2-1_112079_2022-05-08_final
2022-05-17 09:48:20	ga_ls8c_ard_3-2-1_095077_2022-05-17_final
2022-05-24 11:33:24	ga_ls8c_ard_3-2-1_112077_2022-05-24_final
2022-05-28 11:08:40	ga_ls8c_ard_3-2-1_108077_2022-05-28_final
2022-06-15 10:58:57	ga_ls8c_ard_3-2-1_106083_2022-06-15_final
2022-06-18 09:49:00	ga_ls8c_ard_3-2-1_095078_2022-06-18_final
2022-07-31 11:09:33	ga_ls8c_ard_3-2-1_108078_2022-07-31_final
2022-08-10 10:07:02	ga_ls8c_ard_3-2-1_098076_2022-08-10_final
2022-08-14 09:43:08	ga_ls8c_ard_3-2-1_094078_2022-08-14_final
2022-08-14 11:22:01	ga_ls8c_ard_3-2-1_110078_2022-08-14_final
2022-08-14 11:22:25	ga_ls8c_ard_3-2-1_110079_2022-08-14_final
2022-08-28 09:54:43	ga_ls8c_ard_3-2-1_096076_2022-08-28_final
2022-09-20 10:01:24	ga_ls8c_ard_3-2-1_097077_2022-09-20_final
2022-10-05 10:59:23	ga_ls8c_ard_3-2-1_106083_2022-10-05_final
2022-10-18 10:25:38	ga_ls8c_ard_3-2-1_101076_2022-10-18_final
2022-10-22 10:00:33	ga_ls8c_ard_3-2-1_097075_2022-10-22_final
2022-10-31 11:34:06	ga_ls8c_ard_3-2-1_112077_2022-10-31_final
2022-11-12 11:58:46	ga_ls8c_ard_3-2-1_116077_2022-11-12_final
2022-11-23 11:40:11	ga_ls8c_ard_3-2-1_113077_2022-11-23_final
2022-11-25 09:48:57	ga_ls8c_ard_3-2-1_095077_2022-11-25_final
2022-12-06 11:09:42	ga_ls8c_ard_3-2-1_108078_2022-12-06_final
2022-12-11 09:49:19	ga_ls8c_ard_3-2-1_095078_2022-12-11_final
2022-12-13 09:34:33	ga_ls8c_ard_3-2-1_093072_2022-12-13_final
2023-01-03 11:34:17	ga_ls8c_ard_3-2-1_112078_2023-01-03_final
2023-01-04 10:39:03	ga_ls8c_ard_3-2-1_103079_2023-01-04_final
2023-01-09 10:59:10	ga_ls8c_ard_3-2-1_106083_2023-01-09_final
2023-01-10 11:40:01	ga_ls8c_ard_3-2-1_113077_2023-01-10_final
2023-01-19 11:34:33	ga_ls8c_ard_3-2-1_112079_2023-01-19_final
2023-01-25 10:58:20	ga_ls8c_ard_3-2-1_106081_2023-01-25_final
2023-02-13 09:49:05	ga_ls8c_ard_3-2-1_095078_2023-02-13_final
2023-03-08 11:34:15	ga_ls8c_ard_3-2-1_112079_2023-03-08_final
2023-03-17 09:48:20	ga_ls8c_ard_3-2-1_095077_2023-03-17_final
2023-03-26 09:42:27	ga_ls8c_ard_3-2-1_094078_2023-03-26_final
2023-03-26 09:42:51	ga_ls8c_ard_3-2-1_094079_2023-03-26_final
2023-03-31 10:01:45	ga_ls8c_ard_3-2-1_097080_2023-03-31_final
2023-03-31 11:39:50	ga_ls8c_ard_3-2-1_113078_2023-03-31_final
2023-04-25 09:53:42	ga_ls8c_ard_3-2-1_096076_2023-04-25_final
2023-04-27 09:42:07	ga_ls8c_ard_3-2-1_094078_2023-04-27_final
2023-05-11 09:53:30	ga_ls8c_ard_3-2-1_096076_2023-05-11_final
2023-05-11 11:32:47	ga_ls8c_ard_3-2-1_112077_2023-05-11_final
2023-05-11 11:33:11	ga_ls8c_ard_3-2-1_112078_2023-05-11_final
2023-05-14 10:25:34	ga_ls8c_ard_3-2-1_101079_2023-05-14_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