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
2015-04-23 11:06:53	ga_ls8c_ard_3-0-0_108074_2015-04-23_final
2015-04-23 11:07:17	ga_ls8c_ard_3-0-0_108075_2015-04-23_final
2015-04-23 11:07:41	ga_ls8c_ard_3-0-0_108076_2015-04-23_final
2015-04-23 11:08:05	ga_ls8c_ard_3-0-0_108077_2015-04-23_final
2015-04-23 11:08:29	ga_ls8c_ard_3-0-0_108078_2015-04-23_final
2015-04-23 11:08:53	ga_ls8c_ard_3-0-0_108079_2015-04-23_final
2015-04-23 11:09:17	ga_ls8c_ard_3-0-0_108080_2015-04-23_final
2015-05-09 11:06:38	ga_ls8c_ard_3-0-0_108074_2015-05-09_final
2015-05-09 11:07:01	ga_ls8c_ard_3-0-0_108075_2015-05-09_final
2015-05-09 11:07:25	ga_ls8c_ard_3-0-0_108076_2015-05-09_final
2015-05-09 11:07:49	ga_ls8c_ard_3-0-0_108077_2015-05-09_final
2015-05-09 11:08:13	ga_ls8c_ard_3-0-0_108078_2015-05-09_final
2015-05-09 11:08:37	ga_ls8c_ard_3-0-0_108079_2015-05-09_final
2015-05-09 11:09:01	ga_ls8c_ard_3-0-0_108080_2015-05-09_final
2015-05-11 10:57:26	ga_ls8c_ard_3-0-0_106082_2015-05-11_final
2015-05-11 10:57:50	ga_ls8c_ard_3-0-0_106083_2015-05-11_final
2015-05-25 11:06:36	ga_ls8c_ard_3-0-0_108074_2015-05-25_final
2015-05-25 11:07:00	ga_ls8c_ard_3-0-0_108075_2015-05-25_final
2015-05-25 11:07:24	ga_ls8c_ard_3-0-0_108076_2015-05-25_final
2015-05-25 11:07:48	ga_ls8c_ard_3-0-0_108077_2015-05-25_final
2015-05-25 11:08:12	ga_ls8c_ard_3-0-0_108078_2015-05-25_final
2015-05-25 11:08:36	ga_ls8c_ard_3-0-0_108079_2015-05-25_final
2016-10-18 11:07:53	ga_ls8c_ard_3-0-0_108074_2016-10-18_final
2016-10-18 11:08:17	ga_ls8c_ard_3-0-0_108075_2016-10-18_final
2016-10-18 11:08:41	ga_ls8c_ard_3-0-0_108076_2016-10-18_final
2016-10-18 11:09:05	ga_ls8c_ard_3-0-0_108077_2016-10-18_final
2016-10-18 11:09:29	ga_ls8c_ard_3-0-0_108078_2016-10-18_final
2016-10-18 11:09:53	ga_ls8c_ard_3-0-0_108079_2016-10-18_final
2016-10-18 11:10:17	ga_ls8c_ard_3-0-0_108080_2016-10-18_final
2016-10-20 10:58:43	ga_ls8c_ard_3-0-0_106082_2016-10-20_final
2016-10-20 10:59:07	ga_ls8c_ard_3-0-0_106083_2016-10-20_final
2016-10-20 10:59:31	ga_ls8c_ard_3-0-0_106084_2016-10-20_final
2016-11-21 10:58:43	ga_ls8c_ard_3-0-0_106082_2016-11-21_final
2016-11-21 10:59:07	ga_ls8c_ard_3-0-0_106083_2016-11-21_final
2016-11-21 10:59:31	ga_ls8c_ard_3-0-0_106084_2016-11-21_final
2017-01-20 11:17:15	ga_ls8c_ard_3-0-0_110067_2017-01-20_final
2017-01-20 11:17:39	ga_ls8c_ard_3-0-0_110068_2017-01-20_final
2017-01-20 11:18:02	ga_ls8c_ard_3-0-0_110069_2017-01-20_final
2017-01-20 11:18:26	ga_ls8c_ard_3-0-0_110070_2017-01-20_final
2017-01-22 11:07:40	ga_ls8c_ard_3-0-0_108074_2017-01-22_final
2017-01-22 11:08:04	ga_ls8c_ard_3-0-0_108075_2017-01-22_final
2017-01-22 11:08:28	ga_ls8c_ard_3-0-0_108076_2017-01-22_final
2017-01-22 11:08:52	ga_ls8c_ard_3-0-0_108077_2017-01-22_final
2017-01-22 11:09:16	ga_ls8c_ard_3-0-0_108078_2017-01-22_final
2017-01-22 11:09:39	ga_ls8c_ard_3-0-0_108079_2017-01-22_final
2017-01-22 11:10:03	ga_ls8c_ard_3-0-0_108080_2017-01-22_final
2017-03-09 11:16:54	ga_ls8c_ard_3-0-0_110067_2017-03-09_final
2017-03-09 11:17:18	ga_ls8c_ard_3-0-0_110068_2017-03-09_final
2017-03-09 11:17:42	ga_ls8c_ard_3-0-0_110069_2017-03-09_final
2017-03-09 11:18:06	ga_ls8c_ard_3-0-0_110070_2017-03-09_final
2017-03-11 11:07:19	ga_ls8c_ard_3-0-0_108074_2017-03-11_final
2017-03-11 11:07:43	ga_ls8c_ard_3-0-0_108075_2017-03-11_final
2017-03-11 11:08:06	ga_ls8c_ard_3-0-0_108076_2017-03-11_final
2017-03-11 11:08:30	ga_ls8c_ard_3-0-0_108077_2017-03-11_final
2017-03-11 11:08:54	ga_ls8c_ard_3-0-0_108078_2017-03-11_final
2017-03-11 11:09:18	ga_ls8c_ard_3-0-0_108079_2017-03-11_final
2017-03-11 11:09:42	ga_ls8c_ard_3-0-0_108080_2017-03-11_final
2017-09-05 10:58:29	ga_ls8c_ard_3-0-0_106082_2017-09-05_final
2017-09-05 10:58:53	ga_ls8c_ard_3-0-0_106083_2017-09-05_final
2017-09-05 10:59:17	ga_ls8c_ard_3-0-0_106084_2017-09-05_final
2017-10-21 11:07:51	ga_ls8c_ard_3-0-0_108074_2017-10-21_final
2017-10-21 11:08:15	ga_ls8c_ard_3-0-0_108075_2017-10-21_final
2017-10-21 11:08:39	ga_ls8c_ard_3-0-0_108076_2017-10-21_final
2017-10-21 11:09:03	ga_ls8c_ard_3-0-0_108077_2017-10-21_final
2017-10-21 11:09:26	ga_ls8c_ard_3-0-0_108078_2017-10-21_final
2017-10-21 11:09:50	ga_ls8c_ard_3-0-0_108079_2017-10-21_final
2017-10-21 11:10:14	ga_ls8c_ard_3-0-0_108080_2017-10-21_final
2017-12-22 11:17:19	ga_ls8c_ard_3-0-0_110067_2017-12-22_final
2017-12-22 11:17:43	ga_ls8c_ard_3-0-0_110068_2017-12-22_final
2017-12-22 11:18:07	ga_ls8c_ard_3-0-0_110069_2017-12-22_final
2017-12-22 11:18:31	ga_ls8c_ard_3-0-0_110070_2017-12-22_final
2017-12-24 11:07:44	ga_ls8c_ard_3-0-0_108074_2017-12-24_final
2017-12-24 11:08:08	ga_ls8c_ard_3-0-0_108075_2017-12-24_final
2017-12-24 11:08:32	ga_ls8c_ard_3-0-0_108076_2017-12-24_final
2017-12-24 11:08:56	ga_ls8c_ard_3-0-0_108077_2017-12-24_final
2017-12-24 11:09:20	ga_ls8c_ard_3-0-0_108078_2017-12-24_final
2017-12-24 11:09:44	ga_ls8c_ard_3-0-0_108079_2017-12-24_final
2017-12-24 11:10:08	ga_ls8c_ard_3-0-0_108080_2017-12-24_final
2018-02-19 11:03:08	ga_ls8c_ard_3-0-0_107079_2018-02-19_final
2018-02-19 11:03:32	ga_ls8c_ard_3-0-0_107080_2018-02-19_final
2018-02-19 11:03:56	ga_ls8c_ard_3-0-0_107081_2018-02-19_final
2018-02-19 11:04:20	ga_ls8c_ard_3-0-0_107082_2018-02-19_final
2018-02-19 11:04:44	ga_ls8c_ard_3-0-0_107083_2018-02-19_final
2018-02-19 11:05:08	ga_ls8c_ard_3-0-0_107084_2018-02-19_final
2018-02-24 11:16:51	ga_ls8c_ard_3-0-0_110067_2018-02-24_final
2018-02-24 11:17:15	ga_ls8c_ard_3-0-0_110068_2018-02-24_final
2018-02-24 11:17:39	ga_ls8c_ard_3-0-0_110069_2018-02-24_final
2018-02-24 11:18:03	ga_ls8c_ard_3-0-0_110070_2018-02-24_final
2018-02-26 11:07:16	ga_ls8c_ard_3-0-0_108074_2018-02-26_final
2018-02-26 11:07:40	ga_ls8c_ard_3-0-0_108075_2018-02-26_final
2018-02-26 11:08:04	ga_ls8c_ard_3-0-0_108076_2018-02-26_final
2018-02-26 11:08:28	ga_ls8c_ard_3-0-0_108077_2018-02-26_final
2018-02-26 11:08:52	ga_ls8c_ard_3-0-0_108078_2018-02-26_final
2018-02-26 11:09:16	ga_ls8c_ard_3-0-0_108079_2018-02-26_final
2018-02-26 11:09:40	ga_ls8c_ard_3-0-0_108080_2018-02-26_final
2018-04-01 10:58:13	ga_ls8c_ard_3-0-0_106083_2018-04-01_final
2018-04-01 10:58:37	ga_ls8c_ard_3-0-0_106084_2018-04-01_final
2018-07-18 11:16:18	ga_ls8c_ard_3-0-0_110067_2018-07-18_final
2018-07-18 11:16:42	ga_ls8c_ard_3-0-0_110068_2018-07-18_final
2018-07-18 11:17:06	ga_ls8c_ard_3-0-0_110069_2018-07-18_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years