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

88 results

Time (local)	Label
2021-12-29 10:03:13	ga_ls8c_ard_3-2-1_098067_2021-12-29_final
2021-12-29 10:03:37	ga_ls8c_ard_3-2-1_098068_2021-12-29_final
2021-12-29 10:04:00	ga_ls8c_ard_3-2-1_098069_2021-12-29_final
2021-12-29 10:04:24	ga_ls8c_ard_3-2-1_098070_2021-12-29_final
2021-12-29 10:04:48	ga_ls8c_ard_3-2-1_098071_2021-12-29_final
2021-12-29 10:05:12	ga_ls8c_ard_3-2-1_098072_2021-12-29_final
2021-12-29 10:05:36	ga_ls8c_ard_3-2-1_098073_2021-12-29_final
2021-12-29 10:06:00	ga_ls8c_ard_3-2-1_098074_2021-12-29_final
2021-12-29 10:06:24	ga_ls8c_ard_3-2-1_098075_2021-12-29_final
2021-12-29 10:06:48	ga_ls8c_ard_3-2-1_098076_2021-12-29_final
2021-12-29 10:07:12	ga_ls8c_ard_3-2-1_098077_2021-12-29_final
2021-12-29 10:07:36	ga_ls8c_ard_3-2-1_098078_2021-12-29_final
2021-12-29 10:08:00	ga_ls8c_ard_3-2-1_098079_2021-12-29_final
2021-12-29 10:08:24	ga_ls8c_ard_3-2-1_098080_2021-12-29_final
2021-12-29 10:08:48	ga_ls8c_ard_3-2-1_098081_2021-12-29_final
2021-12-29 10:09:12	ga_ls8c_ard_3-2-1_098082_2021-12-29_final
2021-12-29 10:09:36	ga_ls8c_ard_3-2-1_098083_2021-12-29_final
2021-12-29 10:10:00	ga_ls8c_ard_3-2-1_098084_2021-12-29_final
2021-12-29 10:10:24	ga_ls8c_ard_3-2-1_098085_2021-12-29_final
2021-12-29 11:44:53	ga_ls8c_ard_3-2-1_114074_2021-12-29_final
2021-12-29 11:45:17	ga_ls8c_ard_3-2-1_114075_2021-12-29_final
2021-12-29 11:45:41	ga_ls8c_ard_3-2-1_114076_2021-12-29_final
2021-12-29 11:46:05	ga_ls8c_ard_3-2-1_114077_2021-12-29_final
2021-12-29 11:46:29	ga_ls8c_ard_3-2-1_114078_2021-12-29_final
2021-12-29 11:46:53	ga_ls8c_ard_3-2-1_114079_2021-12-29_final
2021-12-29 11:47:17	ga_ls8c_ard_3-2-1_114080_2021-12-29_final
2021-12-29 11:47:41	ga_ls8c_ard_3-2-1_114081_2021-12-29_final
2021-12-30 09:10:22	ga_ls8c_ard_3-2-1_089074_2021-12-29_final
2021-12-30 09:10:46	ga_ls8c_ard_3-2-1_089075_2021-12-29_final
2021-12-30 09:11:10	ga_ls8c_ard_3-2-1_089076_2021-12-29_final
2021-12-30 09:11:34	ga_ls8c_ard_3-2-1_089077_2021-12-29_final
2021-12-30 09:11:58	ga_ls8c_ard_3-2-1_089078_2021-12-29_final
2021-12-30 09:12:22	ga_ls8c_ard_3-2-1_089079_2021-12-29_final
2021-12-30 09:12:46	ga_ls8c_ard_3-2-1_089080_2021-12-29_final
2021-12-30 09:13:10	ga_ls8c_ard_3-2-1_089081_2021-12-29_final
2021-12-30 09:13:34	ga_ls8c_ard_3-2-1_089082_2021-12-29_final
2021-12-30 09:13:58	ga_ls8c_ard_3-2-1_089083_2021-12-29_final
2021-12-30 09:14:22	ga_ls8c_ard_3-2-1_089084_2021-12-29_final
2021-12-30 09:14:46	ga_ls8c_ard_3-2-1_089085_2021-12-29_final
2021-12-30 09:15:10	ga_ls8c_ard_3-2-1_089086_2021-12-29_final
2021-12-30 09:16:22	ga_ls8c_ard_3-2-1_089089_2021-12-29_final
2021-12-30 09:16:46	ga_ls8c_ard_3-2-1_089090_2021-12-29_final
2021-12-30 10:46:28	ga_ls8c_ard_3-2-1_105067_2021-12-30_final
2021-12-30 10:46:52	ga_ls8c_ard_3-2-1_105068_2021-12-30_final
2021-12-30 10:47:16	ga_ls8c_ard_3-2-1_105069_2021-12-30_final
2021-12-30 10:47:40	ga_ls8c_ard_3-2-1_105070_2021-12-30_final
2021-12-30 10:48:03	ga_ls8c_ard_3-2-1_105071_2021-12-30_final
2021-12-30 10:48:27	ga_ls8c_ard_3-2-1_105072_2021-12-30_final
2021-12-30 10:48:51	ga_ls8c_ard_3-2-1_105073_2021-12-30_final
2021-12-30 10:49:15	ga_ls8c_ard_3-2-1_105074_2021-12-30_final
2021-12-30 10:49:39	ga_ls8c_ard_3-2-1_105075_2021-12-30_final
2021-12-30 10:50:03	ga_ls8c_ard_3-2-1_105076_2021-12-30_final
2021-12-30 10:50:27	ga_ls8c_ard_3-2-1_105077_2021-12-30_final
2021-12-30 10:50:51	ga_ls8c_ard_3-2-1_105078_2021-12-30_final
2021-12-30 10:51:15	ga_ls8c_ard_3-2-1_105079_2021-12-30_final
2021-12-30 10:51:39	ga_ls8c_ard_3-2-1_105080_2021-12-30_final
2021-12-30 10:52:03	ga_ls8c_ard_3-2-1_105081_2021-12-30_final
2021-12-30 10:52:27	ga_ls8c_ard_3-2-1_105082_2021-12-30_final
2021-12-30 10:52:51	ga_ls8c_ard_3-2-1_105083_2021-12-30_final
2021-12-31 09:52:02	ga_ls8c_ard_3-2-1_096070_2021-12-31_final
2021-12-31 09:52:26	ga_ls8c_ard_3-2-1_096071_2021-12-31_final
2021-12-31 09:52:50	ga_ls8c_ard_3-2-1_096072_2021-12-31_final
2021-12-31 09:53:14	ga_ls8c_ard_3-2-1_096073_2021-12-31_final
2021-12-31 09:53:38	ga_ls8c_ard_3-2-1_096074_2021-12-31_final
2021-12-31 09:54:02	ga_ls8c_ard_3-2-1_096075_2021-12-31_final
2021-12-31 09:54:25	ga_ls8c_ard_3-2-1_096076_2021-12-31_final
2021-12-31 09:54:49	ga_ls8c_ard_3-2-1_096077_2021-12-31_final
2021-12-31 09:55:13	ga_ls8c_ard_3-2-1_096078_2021-12-31_final
2021-12-31 09:55:37	ga_ls8c_ard_3-2-1_096079_2021-12-31_final
2021-12-31 09:56:01	ga_ls8c_ard_3-2-1_096080_2021-12-31_final
2021-12-31 09:56:25	ga_ls8c_ard_3-2-1_096081_2021-12-31_final
2021-12-31 09:57:13	ga_ls8c_ard_3-2-1_096083_2021-12-31_final
2021-12-31 09:57:37	ga_ls8c_ard_3-2-1_096084_2021-12-31_final
2021-12-31 09:58:01	ga_ls8c_ard_3-2-1_096085_2021-12-31_final
2021-12-31 09:58:25	ga_ls8c_ard_3-2-1_096086_2021-12-31_final
2021-12-31 11:31:43	ga_ls8c_ard_3-2-1_112072_2021-12-31_final
2021-12-31 11:32:07	ga_ls8c_ard_3-2-1_112073_2021-12-31_final
2021-12-31 11:32:31	ga_ls8c_ard_3-2-1_112074_2021-12-31_final
2021-12-31 11:32:55	ga_ls8c_ard_3-2-1_112075_2021-12-31_final
2021-12-31 11:33:19	ga_ls8c_ard_3-2-1_112076_2021-12-31_final
2021-12-31 11:33:43	ga_ls8c_ard_3-2-1_112077_2021-12-31_final
2021-12-31 11:34:06	ga_ls8c_ard_3-2-1_112078_2021-12-31_final
2021-12-31 11:34:30	ga_ls8c_ard_3-2-1_112079_2021-12-31_final
2021-12-31 11:34:54	ga_ls8c_ard_3-2-1_112080_2021-12-31_final
2021-12-31 11:35:18	ga_ls8c_ard_3-2-1_112081_2021-12-31_final
2021-12-31 11:35:42	ga_ls8c_ard_3-2-1_112082_2021-12-31_final
2021-12-31 11:36:06	ga_ls8c_ard_3-2-1_112083_2021-12-31_final
2021-12-31 11:36:30	ga_ls8c_ard_3-2-1_112084_2021-12-31_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