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
2015-12-14 10:47:32	ga_ls8c_ard_3-0-0_105070_2015-12-14_final
2015-12-14 10:47:56	ga_ls8c_ard_3-0-0_105071_2015-12-14_final
2015-12-14 10:48:20	ga_ls8c_ard_3-0-0_105072_2015-12-14_final
2015-12-14 10:48:44	ga_ls8c_ard_3-0-0_105073_2015-12-14_final
2015-12-14 10:49:08	ga_ls8c_ard_3-0-0_105074_2015-12-14_final
2015-12-14 10:49:32	ga_ls8c_ard_3-0-0_105075_2015-12-14_final
2015-12-16 10:38:22	ga_ls8c_ard_3-0-0_103078_2015-12-16_final
2015-12-16 10:38:46	ga_ls8c_ard_3-0-0_103079_2015-12-16_final
2015-12-16 10:39:10	ga_ls8c_ard_3-0-0_103080_2015-12-16_final
2015-12-16 10:39:34	ga_ls8c_ard_3-0-0_103081_2015-12-16_final
2015-12-16 10:39:58	ga_ls8c_ard_3-0-0_103082_2015-12-16_final
2015-12-16 10:40:22	ga_ls8c_ard_3-0-0_103083_2015-12-16_final
2015-12-21 10:52:32	ga_ls8c_ard_3-0-0_106067_2015-12-21_final
2015-12-21 10:52:56	ga_ls8c_ard_3-0-0_106068_2015-12-21_final
2015-12-21 10:53:20	ga_ls8c_ard_3-0-0_106069_2015-12-21_final
2015-12-21 10:53:44	ga_ls8c_ard_3-0-0_106070_2015-12-21_final
2016-01-31 10:47:28	ga_ls8c_ard_3-0-0_105070_2016-01-31_final
2016-01-31 10:47:52	ga_ls8c_ard_3-0-0_105071_2016-01-31_final
2016-01-31 10:48:16	ga_ls8c_ard_3-0-0_105072_2016-01-31_final
2016-01-31 10:48:40	ga_ls8c_ard_3-0-0_105073_2016-01-31_final
2016-01-31 10:49:04	ga_ls8c_ard_3-0-0_105074_2016-01-31_final
2016-01-31 10:49:28	ga_ls8c_ard_3-0-0_105075_2016-01-31_final
2016-02-02 10:38:17	ga_ls8c_ard_3-0-0_103078_2016-02-02_final
2016-02-02 10:38:41	ga_ls8c_ard_3-0-0_103079_2016-02-02_final
2016-02-02 10:39:05	ga_ls8c_ard_3-0-0_103080_2016-02-02_final
2016-02-02 10:39:29	ga_ls8c_ard_3-0-0_103081_2016-02-02_final
2016-02-02 10:39:53	ga_ls8c_ard_3-0-0_103082_2016-02-02_final
2016-02-02 10:40:17	ga_ls8c_ard_3-0-0_103083_2016-02-02_final
2016-02-23 10:52:17	ga_ls8c_ard_3-0-0_106067_2016-02-23_final
2016-02-23 10:52:41	ga_ls8c_ard_3-0-0_106068_2016-02-23_final
2016-02-23 10:53:05	ga_ls8c_ard_3-0-0_106069_2016-02-23_final
2016-02-23 10:53:29	ga_ls8c_ard_3-0-0_106070_2016-02-23_final
2016-02-25 10:42:43	ga_ls8c_ard_3-0-0_104074_2016-02-25_final
2016-02-25 10:43:07	ga_ls8c_ard_3-0-0_104075_2016-02-25_final
2016-02-25 10:43:31	ga_ls8c_ard_3-0-0_104076_2016-02-25_final
2016-02-25 10:43:55	ga_ls8c_ard_3-1-0_104077_2016-02-25_final
2016-02-25 10:44:19	ga_ls8c_ard_3-0-0_104078_2016-02-25_final
2016-02-25 10:44:43	ga_ls8c_ard_3-0-0_104079_2016-02-25_final
2016-02-25 10:45:07	ga_ls8c_ard_3-0-0_104080_2016-02-25_final
2017-11-01 10:47:18	ga_ls8c_ard_3-0-0_105069_2017-11-01_final
2017-11-01 10:47:42	ga_ls8c_ard_3-0-0_105070_2017-11-01_final
2017-11-01 10:48:06	ga_ls8c_ard_3-0-0_105071_2017-11-01_final
2017-11-01 10:48:30	ga_ls8c_ard_3-0-0_105072_2017-11-01_final
2017-11-01 10:48:54	ga_ls8c_ard_3-0-0_105073_2017-11-01_final
2017-11-01 10:49:18	ga_ls8c_ard_3-0-0_105074_2017-11-01_final
2017-11-01 10:49:42	ga_ls8c_ard_3-0-0_105075_2017-11-01_final
2017-11-24 10:52:35	ga_ls8c_ard_3-0-0_106067_2017-11-24_final
2017-11-24 10:52:59	ga_ls8c_ard_3-0-0_106068_2017-11-24_final
2017-11-24 10:53:23	ga_ls8c_ard_3-0-0_106069_2017-11-24_final
2017-11-24 10:53:47	ga_ls8c_ard_3-0-0_106070_2017-11-24_final
2019-12-09 10:47:43	ga_ls8c_ard_3-1-0_105070_2019-12-09_final
2019-12-09 10:48:07	ga_ls8c_ard_3-1-0_105071_2019-12-09_final
2019-12-09 10:48:31	ga_ls8c_ard_3-1-0_105072_2019-12-09_final
2019-12-09 10:48:55	ga_ls8c_ard_3-1-0_105073_2019-12-09_final
2019-12-09 10:49:19	ga_ls8c_ard_3-1-0_105074_2019-12-09_final
2019-12-09 10:49:43	ga_ls8c_ard_3-1-0_105075_2019-12-09_final
2020-01-01 10:52:37	ga_ls8c_ard_3-1-0_106067_2020-01-01_final
2020-01-01 10:53:01	ga_ls8c_ard_3-1-0_106068_2020-01-01_final
2020-01-01 10:53:24	ga_ls8c_ard_3-1-0_106069_2020-01-01_final
2020-01-01 10:53:48	ga_ls8c_ard_3-1-0_106070_2020-01-01_final
2020-02-02 10:52:28	ga_ls8c_ard_3-1-0_106067_2020-02-02_final
2020-02-02 10:52:52	ga_ls8c_ard_3-1-0_106068_2020-02-02_final
2020-02-02 10:53:16	ga_ls8c_ard_3-1-0_106069_2020-02-02_final
2020-02-02 10:53:40	ga_ls8c_ard_3-1-0_106070_2020-02-02_final
2020-04-06 10:52:03	ga_ls8c_ard_3-1-0_106067_2020-04-06_final
2020-04-06 10:52:27	ga_ls8c_ard_3-1-0_106068_2020-04-06_final
2020-04-06 10:52:51	ga_ls8c_ard_3-1-0_106069_2020-04-06_final
2020-04-06 10:53:15	ga_ls8c_ard_3-1-0_106070_2020-04-06_final
2020-05-08 10:51:47	ga_ls8c_ard_3-1-0_106067_2020-05-08_final
2020-05-08 10:52:11	ga_ls8c_ard_3-1-0_106068_2020-05-08_final
2020-05-08 10:52:35	ga_ls8c_ard_3-1-0_106069_2020-05-08_final
2020-05-17 10:46:26	ga_ls8c_ard_3-1-0_105069_2020-05-17_final
2020-05-17 10:46:50	ga_ls8c_ard_3-1-0_105070_2020-05-17_final
2020-05-17 10:47:14	ga_ls8c_ard_3-1-0_105071_2020-05-17_final
2020-05-17 10:47:38	ga_ls8c_ard_3-1-0_105072_2020-05-17_final
2020-05-17 10:48:02	ga_ls8c_ard_3-1-0_105073_2020-05-17_final
2020-05-17 10:48:26	ga_ls8c_ard_3-1-0_105074_2020-05-17_final
2020-05-17 10:48:50	ga_ls8c_ard_3-1-0_105075_2020-05-17_final
2020-05-24 10:51:50	ga_ls8c_ard_3-1-0_106067_2020-05-24_final
2020-05-24 10:52:14	ga_ls8c_ard_3-1-0_106068_2020-05-24_final
2020-05-24 10:52:38	ga_ls8c_ard_3-1-0_106069_2020-05-24_final
2020-05-24 10:53:02	ga_ls8c_ard_3-1-0_106070_2020-05-24_final
2023-05-01 10:51:52	ga_ls8c_ard_3-2-1_106067_2023-05-01_final
2023-05-01 10:52:16	ga_ls8c_ard_3-2-1_106068_2023-05-01_final
2023-05-01 10:52:40	ga_ls8c_ard_3-2-1_106069_2023-05-01_final
2023-05-01 10:53:04	ga_ls8c_ard_3-2-1_106070_2023-05-01_final
2023-05-03 10:42:17	ga_ls8c_ard_3-2-1_104074_2023-05-03_final
2023-05-03 10:42:40	ga_ls8c_ard_3-2-1_104075_2023-05-03_final
2023-05-03 10:43:04	ga_ls8c_ard_3-2-1_104076_2023-05-03_final
2023-05-03 10:43:28	ga_ls8c_ard_3-2-1_104077_2023-05-03_final
2023-05-03 10:43:52	ga_ls8c_ard_3-2-1_104078_2023-05-03_final
2023-05-03 10:44:16	ga_ls8c_ard_3-2-1_104079_2023-05-03_final
2023-05-03 10:44:40	ga_ls8c_ard_3-2-1_104080_2023-05-03_final
2023-05-05 10:33:05	ga_ls8c_ard_3-2-1_102082_2023-05-05_final
2023-05-19 10:42:05	ga_ls8c_ard_3-2-1_104074_2023-05-19_final
2023-05-19 10:42:29	ga_ls8c_ard_3-2-1_104075_2023-05-19_final
2023-05-19 10:42:53	ga_ls8c_ard_3-2-1_104076_2023-05-19_final
2023-05-19 10:43:17	ga_ls8c_ard_3-2-1_104077_2023-05-19_final
2023-05-19 10:43:41	ga_ls8c_ard_3-2-1_104078_2023-05-19_final
2023-05-19 10:44:05	ga_ls8c_ard_3-2-1_104079_2023-05-19_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