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
2014-08-21 10:46:41	ga_ls8c_ard_3-0-0_105068_2014-08-21_final
2014-08-21 10:47:05	ga_ls8c_ard_3-0-0_105069_2014-08-21_final
2014-08-21 10:47:29	ga_ls8c_ard_3-0-0_105070_2014-08-21_final
2014-08-23 10:36:43	ga_ls8c_ard_3-0-0_103074_2014-08-23_final
2014-08-23 10:37:07	ga_ls8c_ard_3-0-0_103075_2014-08-23_final
2014-08-23 10:37:31	ga_ls8c_ard_3-0-0_103076_2014-08-23_final
2014-08-23 10:37:55	ga_ls8c_ard_3-0-0_103077_2014-08-23_final
2014-08-23 10:38:19	ga_ls8c_ard_3-0-0_103078_2014-08-23_final
2014-08-23 10:38:43	ga_ls8c_ard_3-0-0_103079_2014-08-23_final
2014-08-23 10:39:07	ga_ls8c_ard_3-0-0_103080_2014-08-23_final
2014-08-25 10:27:33	ga_ls8c_ard_3-0-0_101082_2014-08-25_final
2014-08-25 10:27:57	ga_ls8c_ard_3-0-0_101083_2014-08-25_final
2014-09-22 10:46:43	ga_ls8c_ard_3-0-0_105068_2014-09-22_final
2014-09-22 10:47:06	ga_ls8c_ard_3-0-0_105069_2014-09-22_final
2014-09-22 10:47:30	ga_ls8c_ard_3-0-0_105070_2014-09-22_final
2014-09-24 10:36:43	ga_ls8c_ard_3-0-0_103074_2014-09-24_final
2014-09-24 10:37:07	ga_ls8c_ard_3-0-0_103075_2014-09-24_final
2014-09-24 10:37:31	ga_ls8c_ard_3-0-0_103076_2014-09-24_final
2014-09-24 10:37:55	ga_ls8c_ard_3-0-0_103077_2014-09-24_final
2014-09-24 10:38:19	ga_ls8c_ard_3-0-0_103078_2014-09-24_final
2014-09-24 10:38:43	ga_ls8c_ard_3-0-0_103079_2014-09-24_final
2014-09-24 10:39:07	ga_ls8c_ard_3-0-0_103080_2014-09-24_final
2014-09-26 10:27:58	ga_ls8c_ard_3-0-0_101083_2014-09-26_final
2014-11-09 10:46:51	ga_ls8c_ard_3-0-0_105068_2014-11-09_final
2014-11-09 10:47:15	ga_ls8c_ard_3-0-0_105069_2014-11-09_final
2014-11-09 10:47:38	ga_ls8c_ard_3-0-0_105070_2014-11-09_final
2014-11-11 10:36:53	ga_ls8c_ard_3-0-0_103074_2014-11-11_final
2014-11-11 10:37:17	ga_ls8c_ard_3-0-0_103075_2014-11-11_final
2014-11-11 10:37:40	ga_ls8c_ard_3-0-0_103076_2014-11-11_final
2014-11-11 10:38:04	ga_ls8c_ard_3-0-0_103077_2014-11-11_final
2014-11-11 10:38:28	ga_ls8c_ard_3-0-0_103078_2014-11-11_final
2014-11-11 10:38:52	ga_ls8c_ard_3-0-0_103079_2014-11-11_final
2014-11-11 10:39:16	ga_ls8c_ard_3-0-0_103080_2014-11-11_final
2014-11-13 10:27:42	ga_ls8c_ard_3-0-0_101082_2014-11-13_final
2014-11-13 10:28:06	ga_ls8c_ard_3-0-0_101083_2014-11-13_final
2014-12-31 10:27:54	ga_ls8c_ard_3-0-0_101083_2014-12-31_final
2017-07-07 10:31:51	ga_ls8c_ard_3-0-0_102078_2017-07-07_final
2017-07-07 10:32:15	ga_ls8c_ard_3-0-0_102079_2017-07-07_final
2017-07-07 10:32:39	ga_ls8c_ard_3-0-0_102080_2017-07-07_final
2017-07-07 10:33:03	ga_ls8c_ard_3-0-0_102081_2017-07-07_final
2017-07-07 10:33:27	ga_ls8c_ard_3-0-0_102082_2017-07-07_final
2017-07-07 10:33:51	ga_ls8c_ard_3-0-0_102083_2017-07-07_final
2017-07-14 10:36:27	ga_ls8c_ard_3-0-0_103074_2017-07-14_final
2017-07-14 10:36:51	ga_ls8c_ard_3-0-0_103075_2017-07-14_final
2017-07-14 10:37:15	ga_ls8c_ard_3-0-0_103076_2017-07-14_final
2017-07-14 10:37:39	ga_ls8c_ard_3-0-0_103077_2017-07-14_final
2017-07-14 10:38:03	ga_ls8c_ard_3-0-0_103078_2017-07-14_final
2017-07-14 10:38:27	ga_ls8c_ard_3-0-0_103079_2017-07-14_final
2017-07-14 10:38:51	ga_ls8c_ard_3-0-0_103080_2017-07-14_final
2017-07-16 10:27:18	ga_ls8c_ard_3-0-0_101082_2017-07-16_final
2017-07-16 10:27:42	ga_ls8c_ard_3-0-0_101083_2017-07-16_final
2017-07-16 10:28:06	ga_ls8c_ard_3-0-0_101084_2017-07-16_final
2017-08-24 10:32:09	ga_ls8c_ard_3-0-0_102078_2017-08-24_final
2017-08-24 10:32:33	ga_ls8c_ard_3-0-0_102079_2017-08-24_final
2017-08-24 10:32:56	ga_ls8c_ard_3-0-0_102080_2017-08-24_final
2017-08-24 10:33:20	ga_ls8c_ard_3-0-0_102081_2017-08-24_final
2017-08-24 10:33:44	ga_ls8c_ard_3-0-0_102082_2017-08-24_final
2017-08-24 10:34:08	ga_ls8c_ard_3-0-0_102083_2017-08-24_final
2021-04-29 10:32:25	ga_ls8c_ard_3-2-0_102080_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
2021-05-20 10:47:03	ga_ls8c_ard_3-2-0_105070_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
2021-09-04 10:32:18	ga_ls8c_ard_3-2-0_102078_2021-09-04_final
2021-09-04 10:32:42	ga_ls8c_ard_3-2-0_102079_2021-09-04_final
2021-09-04 10:33:06	ga_ls8c_ard_3-2-0_102080_2021-09-04_final
2021-09-04 10:33:30	ga_ls8c_ard_3-2-0_102081_2021-09-04_final
2021-09-04 10:33:54	ga_ls8c_ard_3-2-0_102082_2021-09-04_final
2021-09-04 10:34:18	ga_ls8c_ard_3-2-0_102083_2021-09-04_final
2021-09-11 10:36:55	ga_ls8c_ard_3-2-0_103074_2021-09-11_final
2021-09-11 10:37:19	ga_ls8c_ard_3-2-0_103075_2021-09-11_final
2021-09-11 10:37:43	ga_ls8c_ard_3-2-0_103076_2021-09-11_final
2021-09-11 10:38:07	ga_ls8c_ard_3-2-0_103077_2021-09-11_final
2021-09-11 10:38:31	ga_ls8c_ard_3-2-0_103078_2021-09-11_final
2021-09-11 10:38:55	ga_ls8c_ard_3-2-0_103079_2021-09-11_final
2021-09-11 10:39:19	ga_ls8c_ard_3-2-0_103080_2021-09-11_final
2021-09-13 10:27:45	ga_ls8c_ard_3-2-0_101082_2021-09-13_final
2021-09-13 10:28:09	ga_ls8c_ard_3-2-0_101083_2021-09-13_final
2021-09-13 10:28:33	ga_ls8c_ard_3-2-0_101084_2021-09-13_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
2021-10-13 10:39:27	ga_ls8c_ard_3-2-0_103080_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

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