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
2021-10-08 10:19:42	ga_ls8c_ard_3-2-0_100077_2021-10-08_final
2021-10-08 11:57:47	ga_ls8c_ard_3-2-0_116075_2021-10-08_final
2021-10-08 11:58:11	ga_ls8c_ard_3-2-0_116076_2021-10-08_final
2021-10-08 11:58:35	ga_ls8c_ard_3-2-0_116077_2021-10-08_final
2021-10-08 11:58:59	ga_ls8c_ard_3-2-0_116078_2021-10-08_final
2021-10-09 10:59:46	ga_ls8c_ard_3-2-0_107069_2021-10-09_final
2021-10-09 11:00:58	ga_ls8c_ard_3-2-0_107072_2021-10-09_final
2021-10-09 11:01:22	ga_ls8c_ard_3-2-0_107073_2021-10-09_final
2021-10-09 11:02:58	ga_ls8c_ard_3-2-0_107077_2021-10-09_final
2021-10-09 11:03:22	ga_ls8c_ard_3-2-0_107078_2021-10-09_final
2021-10-09 11:03:46	ga_ls8c_ard_3-2-0_107079_2021-10-09_final
2021-10-09 11:04:10	ga_ls8c_ard_3-2-0_107080_2021-10-09_final
2021-10-09 11:04:33	ga_ls8c_ard_3-2-0_107081_2021-10-09_final
2021-10-09 11:04:57	ga_ls8c_ard_3-2-0_107082_2021-10-09_final
2021-10-09 11:05:21	ga_ls8c_ard_3-2-0_107083_2021-10-09_final
2021-10-09 11:06:09	ga_ls8c_ard_3-2-0_107085_2021-10-09_final
2021-10-10 10:03:21	ga_ls8c_ard_3-2-0_098067_2021-10-10_final
2021-10-10 10:03:45	ga_ls8c_ard_3-2-0_098068_2021-10-10_final
2021-10-10 10:04:09	ga_ls8c_ard_3-2-0_098069_2021-10-10_final
2021-10-10 10:04:33	ga_ls8c_ard_3-2-0_098070_2021-10-10_final
2021-10-10 10:05:45	ga_ls8c_ard_3-2-0_098073_2021-10-10_final
2021-10-10 10:06:09	ga_ls8c_ard_3-2-0_098074_2021-10-10_final
2021-10-10 10:06:33	ga_ls8c_ard_3-2-0_098075_2021-10-10_final
2021-10-10 10:06:57	ga_ls8c_ard_3-2-0_098076_2021-10-10_final
2021-10-10 10:07:21	ga_ls8c_ard_3-2-0_098077_2021-10-10_final
2021-10-10 10:07:45	ga_ls8c_ard_3-2-0_098078_2021-10-10_final
2021-10-10 10:08:08	ga_ls8c_ard_3-2-0_098079_2021-10-10_final
2021-10-10 10:08:56	ga_ls8c_ard_3-2-0_098081_2021-10-10_final
2021-10-10 10:09:20	ga_ls8c_ard_3-2-0_098082_2021-10-10_final
2021-10-10 10:09:44	ga_ls8c_ard_3-2-0_098083_2021-10-10_final
2021-10-10 10:10:08	ga_ls8c_ard_3-2-0_098084_2021-10-10_final
2021-10-10 10:10:32	ga_ls8c_ard_3-2-0_098085_2021-10-10_final
2021-10-10 10:10:56	ga_ls8c_ard_3-2-0_098086_2021-10-10_final
2021-10-10 11:42:14	ga_ls8c_ard_3-2-0_114067_2021-10-10_final
2021-10-11 09:10:32	ga_ls8c_ard_3-2-0_089074_2021-10-10_final
2021-10-11 09:10:56	ga_ls8c_ard_3-2-0_089075_2021-10-10_final
2021-10-11 09:11:44	ga_ls8c_ard_3-2-0_089077_2021-10-10_final
2021-10-11 09:12:07	ga_ls8c_ard_3-2-0_089078_2021-10-10_final
2021-10-11 09:12:31	ga_ls8c_ard_3-2-0_089079_2021-10-10_final
2021-10-11 09:12:55	ga_ls8c_ard_3-2-0_089080_2021-10-10_final
2021-10-11 09:13:19	ga_ls8c_ard_3-2-0_089081_2021-10-10_final
2021-10-11 09:13:43	ga_ls8c_ard_3-2-0_089082_2021-10-10_final
2021-10-11 09:14:07	ga_ls8c_ard_3-2-0_089083_2021-10-10_final
2021-10-11 09:14:31	ga_ls8c_ard_3-2-0_089084_2021-10-10_final
2021-10-11 09:14:55	ga_ls8c_ard_3-2-0_089085_2021-10-10_final
2021-10-11 09:15:19	ga_ls8c_ard_3-2-0_089086_2021-10-10_final
2021-10-11 09:15:43	ga_ls8c_ard_3-2-0_089087_2021-10-10_final
2021-10-11 09:16:07	ga_ls8c_ard_3-2-0_089088_2021-10-10_final
2021-10-11 09:16:31	ga_ls8c_ard_3-2-0_089089_2021-10-10_final
2021-10-11 09:16:55	ga_ls8c_ard_3-2-0_089090_2021-10-10_final
2021-10-11 10:46:37	ga_ls8c_ard_3-2-0_105067_2021-10-11_final
2021-10-11 10:47:49	ga_ls8c_ard_3-2-0_105070_2021-10-11_final
2021-10-11 10:48:37	ga_ls8c_ard_3-2-0_105072_2021-10-11_final
2021-10-11 10:49:01	ga_ls8c_ard_3-2-0_105073_2021-10-11_final
2021-10-11 10:49:25	ga_ls8c_ard_3-2-0_105074_2021-10-11_final
2021-10-11 10:49:49	ga_ls8c_ard_3-2-0_105075_2021-10-11_final
2021-10-11 10:50:13	ga_ls8c_ard_3-2-0_105076_2021-10-11_final
2021-10-11 10:50:37	ga_ls8c_ard_3-2-0_105077_2021-10-11_final
2021-10-11 10:51:00	ga_ls8c_ard_3-2-0_105078_2021-10-11_final
2021-10-11 10:51:24	ga_ls8c_ard_3-2-0_105079_2021-10-11_final
2021-10-11 10:52:36	ga_ls8c_ard_3-2-0_105082_2021-10-11_final
2021-10-12 09:51:00	ga_ls8c_ard_3-2-0_096067_2021-10-12_final
2021-10-12 09:51:24	ga_ls8c_ard_3-2-0_096068_2021-10-12_final
2021-10-12 09:51:48	ga_ls8c_ard_3-2-0_096069_2021-10-12_final
2021-10-12 09:52:12	ga_ls8c_ard_3-2-0_096070_2021-10-12_final
2021-10-12 09:52:36	ga_ls8c_ard_3-2-0_096071_2021-10-12_final
2021-10-12 09:53:00	ga_ls8c_ard_3-2-0_096072_2021-10-12_final
2021-10-12 09:53:24	ga_ls8c_ard_3-2-0_096073_2021-10-12_final
2021-10-12 09:53:48	ga_ls8c_ard_3-2-0_096074_2021-10-12_final
2021-10-12 09:54:12	ga_ls8c_ard_3-2-0_096075_2021-10-12_final
2021-10-12 09:54:35	ga_ls8c_ard_3-2-0_096076_2021-10-12_final
2021-10-12 09:54:59	ga_ls8c_ard_3-2-0_096077_2021-10-12_final
2021-10-12 09:55:23	ga_ls8c_ard_3-2-0_096078_2021-10-12_final
2021-10-12 09:55:47	ga_ls8c_ard_3-2-0_096079_2021-10-12_final
2021-10-12 09:56:11	ga_ls8c_ard_3-2-0_096080_2021-10-12_final
2021-10-12 09:56:35	ga_ls8c_ard_3-2-0_096081_2021-10-12_final
2021-10-12 09:56:59	ga_ls8c_ard_3-2-0_096082_2021-10-12_final
2021-10-12 09:57:23	ga_ls8c_ard_3-2-0_096083_2021-10-12_final
2021-10-12 09:57:47	ga_ls8c_ard_3-2-0_096084_2021-10-12_final
2021-10-12 09:58:11	ga_ls8c_ard_3-2-0_096085_2021-10-12_final
2021-10-12 09:58:35	ga_ls8c_ard_3-2-0_096086_2021-10-12_final
2021-10-12 09:58:59	ga_ls8c_ard_3-2-0_096087_2021-10-12_final
2021-10-12 11:29:53	ga_ls8c_ard_3-2-0_112067_2021-10-12_final
2021-10-12 11:30:17	ga_ls8c_ard_3-2-0_112068_2021-10-12_final
2021-10-12 11:30:41	ga_ls8c_ard_3-2-0_112069_2021-10-12_final
2021-10-12 11:31:05	ga_ls8c_ard_3-2-0_112070_2021-10-12_final
2021-10-12 11:31:29	ga_ls8c_ard_3-2-0_112071_2021-10-12_final
2021-10-12 11:31:53	ga_ls8c_ard_3-2-0_112072_2021-10-12_final
2021-10-12 11:32:17	ga_ls8c_ard_3-2-0_112073_2021-10-12_final
2021-10-12 11:32:41	ga_ls8c_ard_3-2-0_112074_2021-10-12_final
2021-10-12 11:33:05	ga_ls8c_ard_3-2-0_112075_2021-10-12_final
2021-10-12 11:33:29	ga_ls8c_ard_3-2-0_112076_2021-10-12_final
2021-10-12 11:33:53	ga_ls8c_ard_3-2-0_112077_2021-10-12_final
2021-10-12 11:34:16	ga_ls8c_ard_3-2-0_112078_2021-10-12_final
2021-10-12 11:34:40	ga_ls8c_ard_3-2-0_112079_2021-10-12_final
2021-10-12 11:35:04	ga_ls8c_ard_3-2-0_112080_2021-10-12_final
2021-10-12 11:35:28	ga_ls8c_ard_3-2-0_112081_2021-10-12_final
2021-10-12 11:35:52	ga_ls8c_ard_3-2-0_112082_2021-10-12_final
2021-10-12 11:36:16	ga_ls8c_ard_3-2-0_112083_2021-10-12_final
2021-10-12 11:36:40	ga_ls8c_ard_3-2-0_112084_2021-10-12_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