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
2024-04-09 10:02:33	ga_ls8c_ard_3-2-1_098067_2024-04-09_final
2024-04-09 10:02:57	ga_ls8c_ard_3-2-1_098068_2024-04-09_final
2024-04-09 10:03:21	ga_ls8c_ard_3-2-1_098069_2024-04-09_final
2024-04-09 10:03:44	ga_ls8c_ard_3-2-1_098070_2024-04-09_final
2024-04-09 10:04:08	ga_ls8c_ard_3-2-1_098071_2024-04-09_final
2024-04-09 10:07:20	ga_ls8c_ard_3-2-1_098079_2024-04-09_final
2024-04-09 10:08:08	ga_ls8c_ard_3-2-1_098081_2024-04-09_final
2024-04-09 10:08:32	ga_ls8c_ard_3-2-1_098082_2024-04-09_final
2024-04-09 10:08:56	ga_ls8c_ard_3-2-1_098083_2024-04-09_final
2024-04-09 10:09:20	ga_ls8c_ard_3-2-1_098084_2024-04-09_final
2024-04-09 11:45:01	ga_ls8c_ard_3-2-1_114076_2024-04-09_final
2024-04-09 11:46:13	ga_ls8c_ard_3-2-1_114079_2024-04-09_final
2024-04-09 11:46:37	ga_ls8c_ard_3-2-1_114080_2024-04-09_final
2024-04-09 11:47:01	ga_ls8c_ard_3-2-1_114081_2024-04-09_final
2024-04-10 09:09:42	ga_ls8c_ard_3-2-1_089074_2024-04-09_final
2024-04-10 09:10:06	ga_ls8c_ard_3-2-1_089075_2024-04-09_final
2024-04-10 09:10:30	ga_ls8c_ard_3-2-1_089076_2024-04-09_final
2024-04-10 09:10:54	ga_ls8c_ard_3-2-1_089077_2024-04-09_final
2024-04-10 09:11:18	ga_ls8c_ard_3-2-1_089078_2024-04-09_final
2024-04-10 09:11:42	ga_ls8c_ard_3-2-1_089079_2024-04-09_final
2024-04-10 09:12:30	ga_ls8c_ard_3-2-1_089081_2024-04-09_final
2024-04-10 09:12:54	ga_ls8c_ard_3-2-1_089082_2024-04-09_final
2024-04-10 09:13:42	ga_ls8c_ard_3-2-1_089084_2024-04-09_final
2024-04-10 10:45:48	ga_ls8c_ard_3-2-1_105067_2024-04-10_final
2024-04-10 10:46:12	ga_ls8c_ard_3-2-1_105068_2024-04-10_final
2024-04-10 10:46:36	ga_ls8c_ard_3-2-1_105069_2024-04-10_final
2024-04-10 10:47:00	ga_ls8c_ard_3-2-1_105070_2024-04-10_final
2024-04-10 10:47:24	ga_ls8c_ard_3-2-1_105071_2024-04-10_final
2024-04-10 10:47:48	ga_ls8c_ard_3-2-1_105072_2024-04-10_final
2024-04-10 10:48:11	ga_ls8c_ard_3-2-1_105073_2024-04-10_final
2024-04-10 10:48:35	ga_ls8c_ard_3-2-1_105074_2024-04-10_final
2024-04-10 10:48:59	ga_ls8c_ard_3-2-1_105075_2024-04-10_final
2024-04-10 10:49:23	ga_ls8c_ard_3-2-1_105076_2024-04-10_final
2024-04-10 10:49:47	ga_ls8c_ard_3-2-1_105077_2024-04-10_final
2024-04-10 10:50:11	ga_ls8c_ard_3-2-1_105078_2024-04-10_final
2024-04-10 10:50:35	ga_ls8c_ard_3-2-1_105079_2024-04-10_final
2024-04-11 09:51:22	ga_ls8c_ard_3-2-1_096070_2024-04-11_final
2024-04-11 09:51:46	ga_ls8c_ard_3-2-1_096071_2024-04-11_final
2024-04-11 09:52:34	ga_ls8c_ard_3-2-1_096073_2024-04-11_final
2024-04-11 09:52:58	ga_ls8c_ard_3-2-1_096074_2024-04-11_final
2024-04-11 09:53:22	ga_ls8c_ard_3-2-1_096075_2024-04-11_final
2024-04-11 09:53:46	ga_ls8c_ard_3-2-1_096076_2024-04-11_final
2024-04-11 09:54:33	ga_ls8c_ard_3-2-1_096078_2024-04-11_final
2024-04-11 09:54:57	ga_ls8c_ard_3-2-1_096079_2024-04-11_final
2024-04-11 09:55:21	ga_ls8c_ard_3-2-1_096080_2024-04-11_final
2024-04-11 09:55:45	ga_ls8c_ard_3-2-1_096081_2024-04-11_final
2024-04-11 09:56:33	ga_ls8c_ard_3-2-1_096083_2024-04-11_final
2024-04-11 11:31:03	ga_ls8c_ard_3-2-1_112072_2024-04-11_final
2024-04-11 11:33:26	ga_ls8c_ard_3-2-1_112078_2024-04-11_final
2024-04-11 11:33:50	ga_ls8c_ard_3-2-1_112079_2024-04-11_final
2024-04-11 11:34:14	ga_ls8c_ard_3-2-1_112080_2024-04-11_final
2024-04-11 11:34:38	ga_ls8c_ard_3-2-1_112081_2024-04-11_final
2024-04-11 11:35:02	ga_ls8c_ard_3-2-1_112082_2024-04-11_final
2024-04-12 10:33:49	ga_ls8c_ard_3-2-1_103068_2024-04-12_final
2024-04-12 10:34:13	ga_ls8c_ard_3-2-1_103069_2024-04-12_final
2024-04-12 10:34:37	ga_ls8c_ard_3-2-1_103070_2024-04-12_final
2024-04-12 10:35:01	ga_ls8c_ard_3-2-1_103071_2024-04-12_final
2024-04-12 10:35:25	ga_ls8c_ard_3-2-1_103072_2024-04-12_final
2024-04-12 10:35:49	ga_ls8c_ard_3-2-1_103073_2024-04-12_final
2024-04-12 10:36:13	ga_ls8c_ard_3-2-1_103074_2024-04-12_final
2024-04-12 10:36:37	ga_ls8c_ard_3-2-1_103075_2024-04-12_final
2024-04-13 09:39:23	ga_ls8c_ard_3-2-1_094071_2024-04-13_final
2024-04-13 09:39:47	ga_ls8c_ard_3-2-1_094072_2024-04-13_final
2024-04-13 09:40:11	ga_ls8c_ard_3-2-1_094073_2024-04-13_final
2024-04-13 09:40:35	ga_ls8c_ard_3-2-1_094074_2024-04-13_final
2024-04-13 09:41:23	ga_ls8c_ard_3-2-1_094076_2024-04-13_final
2024-04-13 09:42:11	ga_ls8c_ard_3-2-1_094078_2024-04-13_final
2024-04-13 11:17:28	ga_ls8c_ard_3-2-1_110069_2024-04-13_final
2024-04-13 11:19:04	ga_ls8c_ard_3-2-1_110073_2024-04-13_final
2024-04-13 11:19:52	ga_ls8c_ard_3-2-1_110075_2024-04-13_final
2024-04-13 11:20:16	ga_ls8c_ard_3-2-1_110076_2024-04-13_final
2024-04-13 11:20:40	ga_ls8c_ard_3-2-1_110077_2024-04-13_final
2024-04-13 11:23:27	ga_ls8c_ard_3-2-1_110084_2024-04-13_final
2024-04-14 10:22:14	ga_ls8c_ard_3-2-1_101070_2024-04-14_final
2024-04-14 10:22:38	ga_ls8c_ard_3-2-1_101071_2024-04-14_final
2024-04-14 10:23:02	ga_ls8c_ard_3-2-1_101072_2024-04-14_final
2024-04-14 10:25:50	ga_ls8c_ard_3-2-1_101079_2024-04-14_final
2024-04-14 10:26:14	ga_ls8c_ard_3-2-1_101080_2024-04-14_final
2024-04-14 10:26:37	ga_ls8c_ard_3-2-1_101081_2024-04-14_final
2024-04-14 10:27:01	ga_ls8c_ard_3-2-1_101082_2024-04-14_final
2024-04-14 10:27:25	ga_ls8c_ard_3-2-1_101083_2024-04-14_final
2024-04-15 09:31:47	ga_ls8c_ard_3-2-1_092083_2024-04-15_final
2024-04-15 09:32:11	ga_ls8c_ard_3-2-1_092084_2024-04-15_final
2024-04-15 09:33:47	ga_ls8c_ard_3-2-1_092088_2024-04-15_final
2024-04-15 11:05:53	ga_ls8c_ard_3-2-1_108071_2024-04-15_final
2024-04-16 10:09:03	ga_ls8c_ard_3-2-1_099068_2024-04-16_final
2024-04-16 10:13:26	ga_ls8c_ard_3-2-1_099079_2024-04-16_final
2024-04-16 10:15:26	ga_ls8c_ard_3-2-1_099084_2024-04-16_final
2024-04-16 10:15:50	ga_ls8c_ard_3-2-1_099085_2024-04-16_final
2024-04-16 11:50:44	ga_ls8c_ard_3-2-1_115075_2024-04-16_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
2024-04-17 10:57:29	ga_ls8c_ard_3-2-1_106081_2024-04-17_final
2024-04-18 09:58:39	ga_ls8c_ard_3-2-1_097073_2024-04-18_final
2024-04-18 09:59:27	ga_ls8c_ard_3-2-1_097075_2024-04-18_final
2024-04-18 09:59:51	ga_ls8c_ard_3-2-1_097076_2024-04-18_final
2024-04-18 10:00:14	ga_ls8c_ard_3-2-1_097077_2024-04-18_final
2024-04-18 10:00:38	ga_ls8c_ard_3-2-1_097078_2024-04-18_final
2024-04-18 10:01:50	ga_ls8c_ard_3-2-1_097081_2024-04-18_final
2024-04-18 10:02:38	ga_ls8c_ard_3-2-1_097083_2024-04-18_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