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
2013-05-31 09:58:14	ga_ls8c_ard_3-0-0_096081_2013-05-31_final
2013-05-31 09:58:38	ga_ls8c_ard_3-0-0_096082_2013-05-31_final
2013-05-31 09:59:02	ga_ls8c_ard_3-0-0_096083_2013-05-31_final
2013-05-31 09:59:26	ga_ls8c_ard_3-0-0_096084_2013-05-31_final
2013-05-31 09:59:50	ga_ls8c_ard_3-0-0_096085_2013-05-31_final
2013-05-31 10:00:14	ga_ls8c_ard_3-0-0_096086_2013-05-31_final
2013-07-16 10:06:55	ga_ls8c_ard_3-0-0_098072_2013-07-16_final
2013-07-16 10:07:19	ga_ls8c_ard_3-0-0_098073_2013-07-16_final
2013-07-16 10:07:43	ga_ls8c_ard_3-0-0_098074_2013-07-16_final
2013-07-16 10:08:07	ga_ls8c_ard_3-0-0_098075_2013-07-16_final
2013-07-16 10:08:31	ga_ls8c_ard_3-0-0_098076_2013-07-16_final
2013-07-16 10:08:55	ga_ls8c_ard_3-0-0_098077_2013-07-16_final
2013-07-16 10:09:19	ga_ls8c_ard_3-0-0_098078_2013-07-16_final
2013-07-18 09:58:09	ga_ls8c_ard_3-0-0_096081_2013-07-18_final
2013-07-18 09:58:33	ga_ls8c_ard_3-0-0_096082_2013-07-18_final
2013-07-18 09:58:57	ga_ls8c_ard_3-0-0_096083_2013-07-18_final
2013-07-18 09:59:20	ga_ls8c_ard_3-0-0_096084_2013-07-18_final
2013-07-18 09:59:44	ga_ls8c_ard_3-0-0_096085_2013-07-18_final
2013-07-18 10:00:08	ga_ls8c_ard_3-0-0_096086_2013-07-18_final
2013-09-25 10:11:25	ga_ls8c_ard_3-0-0_099068_2013-09-25_final
2013-09-25 10:12:36	ga_ls8c_ard_3-0-0_099071_2013-09-25_final
2013-09-25 10:13:00	ga_ls8c_ard_3-0-0_099072_2013-09-25_final
2013-09-25 10:13:24	ga_ls8c_ard_3-0-0_099073_2013-09-25_final
2016-01-09 09:51:39	ga_ls8c_ard_3-0-0_095085_2016-01-09_final
2016-01-09 09:52:03	ga_ls8c_ard_3-0-0_095086_2016-01-09_final
2016-01-09 09:52:27	ga_ls8c_ard_3-0-0_095087_2016-01-09_final
2016-01-09 09:52:51	ga_ls8c_ard_3-0-0_095088_2016-01-09_final
2016-03-09 10:09:24	ga_ls8c_ard_3-0-0_099068_2016-03-09_final
2016-03-09 10:09:48	ga_ls8c_ard_3-0-0_099069_2016-03-09_final
2016-03-09 10:10:12	ga_ls8c_ard_3-0-0_099070_2016-03-09_final
2016-03-09 10:10:36	ga_ls8c_ard_3-0-0_099071_2016-03-09_final
2016-03-09 10:11:00	ga_ls8c_ard_3-0-0_099072_2016-03-09_final
2016-03-09 10:11:24	ga_ls8c_ard_3-0-0_099073_2016-03-09_final
2016-03-11 10:00:37	ga_ls8c_ard_3-0-0_097077_2016-03-11_final
2016-03-11 10:01:01	ga_ls8c_ard_3-0-0_097078_2016-03-11_final
2016-03-11 10:01:25	ga_ls8c_ard_3-0-0_097079_2016-03-11_final
2016-03-11 10:01:49	ga_ls8c_ard_3-0-0_097080_2016-03-11_final
2016-03-11 10:02:13	ga_ls8c_ard_3-0-0_097081_2016-03-11_final
2016-03-11 10:02:37	ga_ls8c_ard_3-0-0_097082_2016-03-11_final
2016-03-13 09:51:26	ga_ls8c_ard_3-0-0_095085_2016-03-13_final
2016-03-13 09:51:50	ga_ls8c_ard_3-0-0_095086_2016-03-13_final
2016-03-13 09:52:14	ga_ls8c_ard_3-0-0_095087_2016-03-13_final
2016-03-13 09:52:38	ga_ls8c_ard_3-0-0_095088_2016-03-13_final
2017-10-03 09:46:51	ga_ls8c_ard_3-0-0_094088_2017-10-03_final
2017-11-23 10:09:44	ga_ls8c_ard_3-0-0_099068_2017-11-23_final
2017-11-23 10:10:07	ga_ls8c_ard_3-0-0_099069_2017-11-23_final
2017-11-23 10:10:31	ga_ls8c_ard_3-0-0_099070_2017-11-23_final
2017-11-23 10:10:55	ga_ls8c_ard_3-0-0_099071_2017-11-23_final
2017-11-23 10:11:19	ga_ls8c_ard_3-0-0_099072_2017-11-23_final
2017-11-23 10:11:43	ga_ls8c_ard_3-0-0_099073_2017-11-23_final
2017-11-25 10:00:56	ga_ls8c_ard_3-0-0_097077_2017-11-25_final
2017-11-25 10:01:20	ga_ls8c_ard_3-0-0_097078_2017-11-25_final
2017-11-25 10:01:44	ga_ls8c_ard_3-0-0_097079_2017-11-25_final
2017-11-25 10:02:08	ga_ls8c_ard_3-0-0_097080_2017-11-25_final
2017-11-25 10:02:32	ga_ls8c_ard_3-0-0_097081_2017-11-25_final
2017-11-25 10:02:56	ga_ls8c_ard_3-0-0_097082_2017-11-25_final
2017-12-27 10:00:56	ga_ls8c_ard_3-0-0_097077_2017-12-27_final
2017-12-27 10:01:20	ga_ls8c_ard_3-1-0_097078_2017-12-27_final
2017-12-27 10:01:44	ga_ls8c_ard_3-0-0_097079_2017-12-27_final
2019-02-07 10:04:42	ga_ls8c_ard_3-0-0_098072_2019-02-07_final
2019-02-07 10:05:06	ga_ls8c_ard_3-0-0_098073_2019-02-07_final
2019-02-07 10:05:30	ga_ls8c_ard_3-0-0_098074_2019-02-07_final
2019-02-07 10:05:54	ga_ls8c_ard_3-0-0_098075_2019-02-07_final
2019-02-07 10:06:18	ga_ls8c_ard_3-0-0_098076_2019-02-07_final
2019-02-07 10:06:42	ga_ls8c_ard_3-0-0_098077_2019-02-07_final
2019-02-07 10:07:06	ga_ls8c_ard_3-0-0_098078_2019-02-07_final
2019-02-09 09:55:56	ga_ls8c_ard_3-0-0_096081_2019-02-09_final
2019-02-09 09:56:20	ga_ls8c_ard_3-0-0_096082_2019-02-09_final
2019-02-09 09:56:44	ga_ls8c_ard_3-0-0_096083_2019-02-09_final
2019-02-09 09:57:08	ga_ls8c_ard_3-0-0_096084_2019-02-09_final
2019-02-09 09:57:32	ga_ls8c_ard_3-0-0_096085_2019-02-09_final
2019-02-09 09:57:56	ga_ls8c_ard_3-0-0_096086_2019-02-09_final
2019-02-11 09:46:22	ga_ls8c_ard_3-0-0_094088_2019-02-11_final
2019-02-18 09:51:19	ga_ls8c_ard_3-0-0_095085_2019-02-18_final
2019-02-18 09:51:43	ga_ls8c_ard_3-0-0_095086_2019-02-18_final
2019-02-18 09:52:07	ga_ls8c_ard_3-0-0_095087_2019-02-18_final
2019-02-18 09:52:31	ga_ls8c_ard_3-0-0_095088_2019-02-18_final
2019-02-23 10:04:39	ga_ls8c_ard_3-0-0_098072_2019-02-23_final
2019-02-23 10:05:03	ga_ls8c_ard_3-0-0_098073_2019-02-23_final
2019-02-23 10:05:27	ga_ls8c_ard_3-0-0_098074_2019-02-23_final
2019-02-23 10:05:51	ga_ls8c_ard_3-0-0_098075_2019-02-23_final
2019-02-23 10:06:15	ga_ls8c_ard_3-0-0_098076_2019-02-23_final
2019-02-23 10:06:39	ga_ls8c_ard_3-0-0_098077_2019-02-23_final
2019-02-23 10:07:03	ga_ls8c_ard_3-0-0_098078_2019-02-23_final
2019-02-25 09:55:53	ga_ls8c_ard_3-0-0_096081_2019-02-25_final
2019-02-25 09:56:17	ga_ls8c_ard_3-0-0_096082_2019-02-25_final
2019-02-25 09:56:41	ga_ls8c_ard_3-0-0_096083_2019-02-25_final
2019-02-25 09:57:04	ga_ls8c_ard_3-0-0_096084_2019-02-25_final
2019-02-25 09:57:28	ga_ls8c_ard_3-0-0_096085_2019-02-25_final
2019-02-25 09:57:52	ga_ls8c_ard_3-0-0_096086_2019-02-25_final
2019-03-20 10:00:20	ga_ls8c_ard_3-1-0_097077_2019-03-20_final
2019-03-20 10:00:44	ga_ls8c_ard_3-1-0_097078_2019-03-20_final
2019-03-20 10:01:08	ga_ls8c_ard_3-1-0_097079_2019-03-20_final
2019-03-20 10:01:32	ga_ls8c_ard_3-1-0_097080_2019-03-20_final
2019-03-20 10:01:56	ga_ls8c_ard_3-1-0_097081_2019-03-20_final
2019-03-20 10:02:20	ga_ls8c_ard_3-1-0_097082_2019-03-20_final
2019-03-22 09:51:10	ga_ls8c_ard_3-1-0_095085_2019-03-22_final
2019-03-22 09:51:34	ga_ls8c_ard_3-1-0_095086_2019-03-22_final
2019-03-22 09:51:58	ga_ls8c_ard_3-1-0_095087_2019-03-22_final
2019-03-22 09:52:22	ga_ls8c_ard_3-1-0_095088_2019-03-22_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