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
2017-07-28 10:46:09	ga_ls8c_ard_3-0-0_105067_2017-07-28_final
2017-07-28 10:46:33	ga_ls8c_ard_3-0-0_105068_2017-07-28_final
2017-07-28 10:46:57	ga_ls8c_ard_3-0-0_105069_2017-07-28_final
2017-07-28 10:47:20	ga_ls8c_ard_3-0-0_105070_2017-07-28_final
2021-04-27 10:40:49	ga_ls8c_ard_3-2-0_104070_2021-04-27_final
2021-04-27 10:41:13	ga_ls8c_ard_3-2-0_104071_2021-04-27_final
2021-04-27 10:41:37	ga_ls8c_ard_3-2-0_104072_2021-04-27_final
2021-04-29 10:31:37	ga_ls8c_ard_3-2-0_102078_2021-04-29_final
2021-04-29 10:32:01	ga_ls8c_ard_3-2-0_102079_2021-04-29_final
2021-04-29 10:32:25	ga_ls8c_ard_3-2-0_102080_2021-04-29_final
2021-04-29 10:32:49	ga_ls8c_ard_3-2-0_102081_2021-04-29_final
2021-04-29 10:33:13	ga_ls8c_ard_3-2-0_102082_2021-04-29_final
2021-04-29 10:33:37	ga_ls8c_ard_3-2-0_102083_2021-04-29_final
2021-05-15 10:31:39	ga_ls8c_ard_3-2-0_102078_2021-05-15_final
2021-05-15 10:32:02	ga_ls8c_ard_3-2-0_102079_2021-05-15_final
2021-05-15 10:32:26	ga_ls8c_ard_3-2-0_102080_2021-05-15_final
2021-05-15 10:32:50	ga_ls8c_ard_3-2-0_102081_2021-05-15_final
2021-05-15 10:33:14	ga_ls8c_ard_3-2-0_102082_2021-05-15_final
2021-05-15 10:33:38	ga_ls8c_ard_3-2-0_102083_2021-05-15_final
2021-05-20 10:45:51	ga_ls8c_ard_3-2-0_105067_2021-05-20_final
2021-05-20 10:46:15	ga_ls8c_ard_3-2-0_105068_2021-05-20_final
2021-05-20 10:46:39	ga_ls8c_ard_3-2-0_105069_2021-05-20_final
2021-05-31 10:31:48	ga_ls8c_ard_3-2-0_102078_2021-05-31_final
2021-05-31 10:32:12	ga_ls8c_ard_3-2-0_102079_2021-05-31_final
2021-05-31 10:32:36	ga_ls8c_ard_3-2-0_102080_2021-05-31_final
2021-05-31 10:32:59	ga_ls8c_ard_3-2-0_102081_2021-05-31_final
2021-05-31 10:33:23	ga_ls8c_ard_3-2-0_102082_2021-05-31_final
2021-05-31 10:33:47	ga_ls8c_ard_3-2-0_102083_2021-05-31_final
2021-09-25 10:46:31	ga_ls8c_ard_3-2-0_105067_2021-09-25_final
2021-09-25 10:46:55	ga_ls8c_ard_3-2-0_105068_2021-09-25_final
2021-09-25 10:47:19	ga_ls8c_ard_3-2-0_105069_2021-09-25_final
2021-09-25 10:47:43	ga_ls8c_ard_3-2-0_105070_2021-09-25_final
2021-09-27 10:36:34	ga_ls8c_ard_3-2-0_103073_2021-09-27_final
2021-09-27 10:36:58	ga_ls8c_ard_3-2-0_103074_2021-09-27_final
2021-09-27 10:37:22	ga_ls8c_ard_3-2-0_103075_2021-09-27_final
2021-09-27 10:37:46	ga_ls8c_ard_3-2-0_103076_2021-09-27_final
2021-09-27 10:38:10	ga_ls8c_ard_3-2-0_103077_2021-09-27_final
2021-09-27 10:38:34	ga_ls8c_ard_3-2-0_103078_2021-09-27_final
2021-09-27 10:38:58	ga_ls8c_ard_3-2-0_103079_2021-09-27_final
2021-09-29 10:27:49	ga_ls8c_ard_3-2-0_101082_2021-09-29_final
2021-09-29 10:28:13	ga_ls8c_ard_3-2-0_101083_2021-09-29_final
2021-09-29 10:28:37	ga_ls8c_ard_3-2-0_101084_2021-09-29_final
2021-10-11 10:46:37	ga_ls8c_ard_3-2-0_105067_2021-10-11_final
2021-10-11 10:47:01	ga_ls8c_ard_3-2-0_105068_2021-10-11_final
2021-10-11 10:47:25	ga_ls8c_ard_3-2-0_105069_2021-10-11_final
2021-10-11 10:47:49	ga_ls8c_ard_3-2-0_105070_2021-10-11_final
2021-10-13 10:36:40	ga_ls8c_ard_3-2-0_103073_2021-10-13_final
2021-10-13 10:37:04	ga_ls8c_ard_3-2-0_103074_2021-10-13_final
2021-10-13 10:37:27	ga_ls8c_ard_3-2-0_103075_2021-10-13_final
2021-10-13 10:37:51	ga_ls8c_ard_3-2-0_103076_2021-10-13_final
2021-10-13 10:38:15	ga_ls8c_ard_3-2-0_103077_2021-10-13_final
2021-10-13 10:38:39	ga_ls8c_ard_3-2-0_103078_2021-10-13_final
2021-10-13 10:39:03	ga_ls8c_ard_3-2-0_103079_2021-10-13_final
2021-10-15 10:27:54	ga_ls8c_ard_3-2-0_101082_2021-10-15_final
2021-10-15 10:28:18	ga_ls8c_ard_3-2-0_101083_2021-10-15_final
2021-10-15 10:28:42	ga_ls8c_ard_3-2-0_101084_2021-10-15_final
2023-06-20 10:40:18	ga_ls8c_ard_3-2-1_104069_2023-06-20_final
2023-06-20 10:40:42	ga_ls8c_ard_3-2-1_104070_2023-06-20_final
2023-06-20 10:41:06	ga_ls8c_ard_3-2-1_104071_2023-06-20_final
2023-06-20 10:41:30	ga_ls8c_ard_3-2-1_104072_2023-06-20_final
2023-06-20 10:41:54	ga_ls8c_ard_3-2-1_104073_2023-06-20_final
2023-06-20 10:42:18	ga_ls8c_ard_3-2-1_104074_2023-06-20_final
2023-06-22 10:31:31	ga_ls8c_ard_3-2-1_102078_2023-06-22_final
2023-06-22 10:31:55	ga_ls8c_ard_3-2-1_102079_2023-06-22_final
2023-06-22 10:32:19	ga_ls8c_ard_3-2-1_102080_2023-06-22_final
2023-06-22 10:32:43	ga_ls8c_ard_3-2-1_102081_2023-06-22_final
2023-06-22 10:33:07	ga_ls8c_ard_3-2-1_102082_2023-06-22_final
2023-07-01 10:27:05	ga_ls8c_ard_3-2-1_101082_2023-07-01_final
2023-07-01 10:27:29	ga_ls8c_ard_3-2-1_101083_2023-07-01_final
2023-07-13 10:45:55	ga_ls8c_ard_3-2-1_105067_2023-07-13_final
2023-07-13 10:46:19	ga_ls8c_ard_3-2-1_105068_2023-07-13_final
2023-07-13 10:46:43	ga_ls8c_ard_3-2-1_105069_2023-07-13_final
2023-07-13 10:47:07	ga_ls8c_ard_3-2-1_105070_2023-07-13_final
2023-07-15 10:35:57	ga_ls8c_ard_3-2-1_103073_2023-07-15_final
2023-07-15 10:36:21	ga_ls8c_ard_3-2-1_103074_2023-07-15_final
2023-07-15 10:36:45	ga_ls8c_ard_3-2-1_103075_2023-07-15_final
2023-07-15 10:37:09	ga_ls8c_ard_3-2-1_103076_2023-07-15_final
2023-07-15 10:37:33	ga_ls8c_ard_3-2-1_103077_2023-07-15_final
2023-07-15 10:37:57	ga_ls8c_ard_3-2-1_103078_2023-07-15_final
2023-07-15 10:38:21	ga_ls8c_ard_3-2-1_103079_2023-07-15_final
2023-07-22 10:40:33	ga_ls8c_ard_3-2-1_104069_2023-07-22_final
2023-07-22 10:40:57	ga_ls8c_ard_3-2-1_104070_2023-07-22_final
2023-07-22 10:41:21	ga_ls8c_ard_3-2-1_104071_2023-07-22_final
2023-07-22 10:41:45	ga_ls8c_ard_3-2-1_104072_2023-07-22_final
2023-07-22 10:42:09	ga_ls8c_ard_3-2-1_104073_2023-07-22_final
2023-07-22 10:42:32	ga_ls8c_ard_3-2-1_104074_2023-07-22_final
2023-07-24 10:31:49	ga_ls8c_ard_3-2-1_102078_2023-07-24_final
2023-07-24 10:32:13	ga_ls8c_ard_3-2-1_102079_2023-07-24_final
2023-07-24 10:32:36	ga_ls8c_ard_3-2-1_102080_2023-07-24_final
2023-07-24 10:33:00	ga_ls8c_ard_3-2-1_102081_2023-07-24_final
2023-07-24 10:33:24	ga_ls8c_ard_3-2-1_102082_2023-07-24_final
2023-09-10 10:32:04	ga_ls8c_ard_3-2-1_102078_2023-09-10_final
2023-09-10 10:32:28	ga_ls8c_ard_3-2-1_102079_2023-09-10_final
2023-09-10 10:32:52	ga_ls8c_ard_3-2-1_102080_2023-09-10_final
2023-09-10 10:33:16	ga_ls8c_ard_3-2-1_102081_2023-09-10_final
2023-09-10 10:33:40	ga_ls8c_ard_3-2-1_102082_2023-09-10_final
2023-10-12 10:32:13	ga_ls8c_ard_3-2-1_102078_2023-10-12_final
2023-10-12 10:32:37	ga_ls8c_ard_3-2-1_102079_2023-10-12_final
2023-10-12 10:33:01	ga_ls8c_ard_3-2-1_102080_2023-10-12_final
2023-10-12 10:33:25	ga_ls8c_ard_3-2-1_102081_2023-10-12_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