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
2013-12-23 10:06:48	ga_ls8c_ard_3-0-0_098073_2013-12-23_final
2013-12-23 10:07:12	ga_ls8c_ard_3-0-0_098074_2013-12-23_final
2013-12-23 10:07:36	ga_ls8c_ard_3-0-0_098075_2013-12-23_final
2013-12-23 10:08:00	ga_ls8c_ard_3-0-0_098076_2013-12-23_final
2013-12-23 10:08:24	ga_ls8c_ard_3-0-0_098077_2013-12-23_final
2013-12-23 10:08:48	ga_ls8c_ard_3-0-0_098078_2013-12-23_final
2013-12-23 10:09:12	ga_ls8c_ard_3-0-0_098079_2013-12-23_final
2014-04-21 10:09:49	ga_ls8c_ard_3-0-0_099069_2014-04-21_final
2014-04-21 10:10:13	ga_ls8c_ard_3-0-0_099070_2014-04-21_final
2014-04-21 10:10:37	ga_ls8c_ard_3-0-0_099071_2014-04-21_final
2014-04-21 10:11:01	ga_ls8c_ard_3-1-0_099072_2014-04-21_final
2014-04-21 10:11:25	ga_ls8c_ard_3-0-0_099073_2014-04-21_final
2014-04-21 10:11:49	ga_ls8c_ard_3-0-0_099074_2014-04-21_final
2015-02-26 10:15:06	ga_ls8c_ard_3-0-0_100067_2015-02-26_final
2015-02-26 10:15:30	ga_ls8c_ard_3-0-0_100068_2015-02-26_final
2015-02-26 10:15:54	ga_ls8c_ard_3-0-0_100069_2015-02-26_final
2015-05-10 10:09:00	ga_ls8c_ard_3-0-0_099069_2015-05-10_final
2015-05-10 10:09:24	ga_ls8c_ard_3-0-0_099070_2015-05-10_final
2015-05-10 10:09:48	ga_ls8c_ard_3-0-0_099071_2015-05-10_final
2015-05-10 10:10:12	ga_ls8c_ard_3-0-0_099072_2015-05-10_final
2015-05-10 10:10:36	ga_ls8c_ard_3-1-0_099073_2015-05-10_final
2015-05-10 10:11:00	ga_ls8c_ard_3-0-0_099074_2015-05-10_final
2015-06-02 10:14:26	ga_ls8c_ard_3-0-0_100067_2015-06-02_final
2015-06-02 10:14:50	ga_ls8c_ard_3-0-0_100068_2015-06-02_final
2015-06-02 10:15:14	ga_ls8c_ard_3-0-0_100069_2015-06-02_final
2015-06-18 10:14:37	ga_ls8c_ard_3-0-0_100067_2015-06-18_final
2015-06-18 10:15:01	ga_ls8c_ard_3-0-0_100068_2015-06-18_final
2015-06-18 10:15:25	ga_ls8c_ard_3-0-0_100069_2015-06-18_final
2016-07-31 10:09:57	ga_ls8c_ard_3-0-0_099069_2016-07-31_final
2016-07-31 10:10:20	ga_ls8c_ard_3-0-0_099070_2016-07-31_final
2016-07-31 10:10:44	ga_ls8c_ard_3-0-0_099071_2016-07-31_final
2016-07-31 10:11:08	ga_ls8c_ard_3-0-0_099072_2016-07-31_final
2016-07-31 10:11:32	ga_ls8c_ard_3-0-0_099073_2016-07-31_final
2016-07-31 10:11:56	ga_ls8c_ard_3-0-0_099074_2016-07-31_final
2016-09-08 10:15:31	ga_ls8c_ard_3-0-0_100067_2016-09-08_final
2016-09-08 10:15:55	ga_ls8c_ard_3-0-0_100068_2016-09-08_final
2016-09-08 10:16:19	ga_ls8c_ard_3-0-0_100069_2016-09-08_final
2016-10-10 10:15:37	ga_ls8c_ard_3-0-0_100067_2016-10-10_final
2016-10-10 10:16:01	ga_ls8c_ard_3-0-0_100068_2016-10-10_final
2016-10-10 10:16:25	ga_ls8c_ard_3-0-0_100069_2016-10-10_final
2016-10-12 10:05:39	ga_ls8c_ard_3-0-0_098073_2016-10-12_final
2016-10-12 10:06:03	ga_ls8c_ard_3-0-0_098074_2016-10-12_final
2016-10-12 10:06:27	ga_ls8c_ard_3-0-0_098075_2016-10-12_final
2016-10-12 10:06:51	ga_ls8c_ard_3-0-0_098076_2016-10-12_final
2016-10-12 10:07:15	ga_ls8c_ard_3-0-0_098077_2016-10-12_final
2016-10-12 10:07:39	ga_ls8c_ard_3-0-0_098078_2016-10-12_final
2016-10-12 10:08:03	ga_ls8c_ard_3-0-0_098079_2016-10-12_final
2016-10-14 09:56:54	ga_ls8c_ard_3-0-0_096082_2016-10-14_final
2016-10-14 09:57:18	ga_ls8c_ard_3-0-0_096083_2016-10-14_final
2016-10-14 09:57:42	ga_ls8c_ard_3-0-0_096084_2016-10-14_final
2016-10-14 09:58:06	ga_ls8c_ard_3-0-0_096085_2016-10-14_final
2016-10-14 09:58:30	ga_ls8c_ard_3-0-0_096086_2016-10-14_final
2016-10-14 09:58:54	ga_ls8c_ard_3-0-0_096087_2016-10-14_final
2019-07-12 09:51:32	ga_ls8c_ard_3-1-0_095085_2019-07-12_final
2019-07-12 09:51:56	ga_ls8c_ard_3-1-0_095086_2019-07-12_final
2019-07-12 09:52:20	ga_ls8c_ard_3-1-0_095087_2019-07-12_final
2019-07-12 09:52:44	ga_ls8c_ard_3-1-0_095088_2019-07-12_final
2019-07-15 10:15:15	ga_ls8c_ard_3-1-0_100067_2019-07-15_final
2019-07-15 10:15:39	ga_ls8c_ard_3-1-0_100068_2019-07-15_final
2019-07-15 10:16:03	ga_ls8c_ard_3-1-0_100069_2019-07-15_final
2019-08-11 10:01:16	ga_ls8c_ard_3-1-0_097078_2019-08-11_final
2019-08-11 10:01:40	ga_ls8c_ard_3-1-0_097079_2019-08-11_final
2019-08-11 10:02:04	ga_ls8c_ard_3-1-0_097080_2019-08-11_final
2019-08-11 10:02:28	ga_ls8c_ard_3-1-0_097081_2019-08-11_final
2019-08-13 09:51:43	ga_ls8c_ard_3-1-0_095085_2019-08-13_final
2019-08-13 09:52:07	ga_ls8c_ard_3-1-0_095086_2019-08-13_final
2019-08-13 09:52:31	ga_ls8c_ard_3-1-0_095087_2019-08-13_final
2019-08-13 09:52:55	ga_ls8c_ard_3-1-0_095088_2019-08-13_final
2019-08-16 10:15:27	ga_ls8c_ard_3-1-0_100067_2019-08-16_final
2019-08-16 10:15:51	ga_ls8c_ard_3-1-0_100068_2019-08-16_final
2019-08-16 10:16:15	ga_ls8c_ard_3-1-0_100069_2019-08-16_final
2019-08-18 10:05:29	ga_ls8c_ard_3-1-0_098073_2019-08-18_final
2019-08-18 10:05:53	ga_ls8c_ard_3-1-0_098074_2019-08-18_final
2019-08-18 10:06:17	ga_ls8c_ard_3-1-0_098075_2019-08-18_final
2019-08-18 10:06:41	ga_ls8c_ard_3-1-0_098076_2019-08-18_final
2019-08-18 10:07:05	ga_ls8c_ard_3-1-0_098077_2019-08-18_final
2019-08-18 10:07:29	ga_ls8c_ard_3-1-0_098078_2019-08-18_final
2019-08-18 10:07:53	ga_ls8c_ard_3-1-0_098079_2019-08-18_final
2019-08-20 09:56:44	ga_ls8c_ard_3-1-0_096082_2019-08-20_final
2019-08-20 09:57:08	ga_ls8c_ard_3-1-0_096083_2019-08-20_final
2019-08-20 09:57:32	ga_ls8c_ard_3-1-0_096084_2019-08-20_final
2019-08-20 09:57:56	ga_ls8c_ard_3-1-0_096085_2019-08-20_final
2019-08-20 09:58:20	ga_ls8c_ard_3-1-0_096086_2019-08-20_final
2019-08-20 09:58:44	ga_ls8c_ard_3-1-0_096087_2019-08-20_final
2019-08-29 09:51:47	ga_ls8c_ard_3-1-0_095085_2019-08-29_final
2019-08-29 09:52:11	ga_ls8c_ard_3-1-0_095086_2019-08-29_final
2019-08-29 09:52:35	ga_ls8c_ard_3-1-0_095087_2019-08-29_final
2019-08-29 09:52:59	ga_ls8c_ard_3-1-0_095088_2019-08-29_final
2019-10-21 10:05:44	ga_ls8c_ard_3-1-0_098073_2019-10-21_final
2019-10-21 10:06:08	ga_ls8c_ard_3-1-0_098074_2019-10-21_final
2019-10-21 10:06:32	ga_ls8c_ard_3-1-0_098075_2019-10-21_final
2019-10-21 10:06:56	ga_ls8c_ard_3-1-0_098076_2019-10-21_final
2019-10-21 10:07:20	ga_ls8c_ard_3-1-0_098077_2019-10-21_final
2019-10-21 10:07:44	ga_ls8c_ard_3-1-0_098078_2019-10-21_final
2019-10-21 10:08:08	ga_ls8c_ard_3-1-0_098079_2019-10-21_final
2019-10-23 09:56:58	ga_ls8c_ard_3-1-0_096082_2019-10-23_final
2019-10-23 09:57:22	ga_ls8c_ard_3-1-0_096083_2019-10-23_final
2019-10-23 09:57:46	ga_ls8c_ard_3-1-0_096084_2019-10-23_final
2019-10-23 09:58:10	ga_ls8c_ard_3-1-0_096085_2019-10-23_final
2019-10-23 09:58:34	ga_ls8c_ard_3-1-0_096086_2019-10-23_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