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
2015-01-04 10:00:48	ga_ls8c_ard_3-0-0_097077_2015-01-04_final
2015-01-04 10:01:12	ga_ls8c_ard_3-0-0_097078_2015-01-04_final
2015-01-04 10:01:36	ga_ls8c_ard_3-0-0_097079_2015-01-04_final
2015-01-04 10:02:00	ga_ls8c_ard_3-0-0_097080_2015-01-04_final
2015-01-04 10:02:24	ga_ls8c_ard_3-0-0_097081_2015-01-04_final
2015-01-04 10:02:48	ga_ls8c_ard_3-0-0_097082_2015-01-04_final
2015-01-06 09:51:38	ga_ls8c_ard_3-0-0_095085_2015-01-06_final
2015-01-06 09:52:02	ga_ls8c_ard_3-0-0_095086_2015-01-06_final
2015-01-06 09:52:26	ga_ls8c_ard_3-0-0_095087_2015-01-06_final
2015-03-11 09:51:14	ga_ls8c_ard_3-0-0_095085_2015-03-11_final
2015-03-11 09:51:37	ga_ls8c_ard_3-0-0_095086_2015-03-11_final
2015-03-11 09:52:01	ga_ls8c_ard_3-0-0_095087_2015-03-11_final
2015-03-11 09:52:25	ga_ls8c_ard_3-0-0_095088_2015-03-11_final
2015-03-25 10:00:17	ga_ls8c_ard_3-0-0_097077_2015-03-25_final
2015-03-25 10:00:41	ga_ls8c_ard_3-0-0_097078_2015-03-25_final
2015-03-25 10:01:05	ga_ls8c_ard_3-0-0_097079_2015-03-25_final
2015-03-25 10:01:29	ga_ls8c_ard_3-0-0_097080_2015-03-25_final
2015-03-25 10:01:53	ga_ls8c_ard_3-0-0_097081_2015-03-25_final
2015-03-25 10:02:17	ga_ls8c_ard_3-0-0_097082_2015-03-25_final
2015-03-27 09:51:05	ga_ls8c_ard_3-0-0_095085_2015-03-27_final
2015-03-27 09:51:29	ga_ls8c_ard_3-0-0_095086_2015-03-27_final
2015-03-27 09:51:53	ga_ls8c_ard_3-0-0_095087_2015-03-27_final
2015-05-10 10:08:12	ga_ls8c_ard_3-0-0_099067_2015-05-10_final
2015-05-10 10:08:36	ga_ls8c_ard_3-0-0_099068_2015-05-10_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
2016-11-20 10:09:28	ga_ls8c_ard_3-0-0_099067_2016-11-20_final
2016-11-20 10:09:52	ga_ls8c_ard_3-0-0_099068_2016-11-20_final
2016-11-20 10:10:16	ga_ls8c_ard_3-0-0_099069_2016-11-20_final
2016-11-20 10:10:40	ga_ls8c_ard_3-0-0_099070_2016-11-20_final
2016-11-20 10:11:04	ga_ls8c_ard_3-0-0_099071_2016-11-20_final
2016-11-20 10:11:28	ga_ls8c_ard_3-0-0_099072_2016-11-20_final
2016-11-20 10:11:52	ga_ls8c_ard_3-0-0_099073_2016-11-20_final
2016-11-22 10:01:06	ga_ls8c_ard_3-0-0_097077_2016-11-22_final
2016-11-22 10:01:30	ga_ls8c_ard_3-0-0_097078_2016-11-22_final
2016-11-22 10:01:54	ga_ls8c_ard_3-0-0_097079_2016-11-22_final
2016-11-22 10:02:18	ga_ls8c_ard_3-0-0_097080_2016-11-22_final
2016-11-22 10:02:42	ga_ls8c_ard_3-0-0_097081_2016-11-22_final
2016-11-22 10:03:06	ga_ls8c_ard_3-0-0_097082_2016-11-22_final
2016-12-08 10:01:04	ga_ls8c_ard_3-0-0_097077_2016-12-08_final
2016-12-08 10:01:28	ga_ls8c_ard_3-0-0_097078_2016-12-08_final
2016-12-08 10:01:52	ga_ls8c_ard_3-0-0_097079_2016-12-08_final
2016-12-08 10:02:16	ga_ls8c_ard_3-0-0_097080_2016-12-08_final
2016-12-08 10:02:40	ga_ls8c_ard_3-0-0_097081_2016-12-08_final
2016-12-08 10:03:04	ga_ls8c_ard_3-0-0_097082_2016-12-08_final
2016-12-10 09:51:53	ga_ls8c_ard_3-0-0_095085_2016-12-10_final
2016-12-10 09:52:17	ga_ls8c_ard_3-0-0_095086_2016-12-10_final
2016-12-10 09:52:41	ga_ls8c_ard_3-0-0_095087_2016-12-10_final
2016-12-10 09:53:05	ga_ls8c_ard_3-0-0_095088_2016-12-10_final
2017-01-20 09:46:44	ga_ls8c_ard_3-0-0_094088_2017-01-20_final
2017-03-05 10:04:46	ga_ls8c_ard_3-0-0_098072_2017-03-05_final
2017-03-05 10:05:10	ga_ls8c_ard_3-0-0_098073_2017-03-05_final
2017-03-05 10:05:34	ga_ls8c_ard_3-0-0_098074_2017-03-05_final
2017-03-05 10:05:58	ga_ls8c_ard_3-0-0_098075_2017-03-05_final
2017-03-05 10:06:22	ga_ls8c_ard_3-0-0_098076_2017-03-05_final
2017-03-05 10:06:46	ga_ls8c_ard_3-0-0_098077_2017-03-05_final
2017-03-07 09:55:59	ga_ls8c_ard_3-0-0_096081_2017-03-07_final
2017-03-07 09:56:23	ga_ls8c_ard_3-0-0_096082_2017-03-07_final
2017-03-07 09:56:47	ga_ls8c_ard_3-0-0_096083_2017-03-07_final
2017-03-07 09:57:11	ga_ls8c_ard_3-0-0_096084_2017-03-07_final
2017-03-07 09:57:35	ga_ls8c_ard_3-0-0_096085_2017-03-07_final
2017-03-07 09:57:58	ga_ls8c_ard_3-0-0_096086_2017-03-07_final
2017-12-22 09:46:48	ga_ls8c_ard_3-0-0_094088_2017-12-22_final
2018-02-20 10:04:43	ga_ls8c_ard_3-0-0_098072_2018-02-20_final
2018-02-20 10:05:07	ga_ls8c_ard_3-0-0_098073_2018-02-20_final
2018-02-20 10:05:31	ga_ls8c_ard_3-0-0_098074_2018-02-20_final
2018-02-20 10:05:55	ga_ls8c_ard_3-0-0_098075_2018-02-20_final
2018-02-20 10:06:19	ga_ls8c_ard_3-0-0_098076_2018-02-20_final
2018-02-20 10:06:43	ga_ls8c_ard_3-0-0_098077_2018-02-20_final
2018-02-20 10:07:07	ga_ls8c_ard_3-0-0_098078_2018-02-20_final
2018-02-22 09:55:56	ga_ls8c_ard_3-0-0_096081_2018-02-22_final
2018-02-22 09:56:20	ga_ls8c_ard_3-0-0_096082_2018-02-22_final
2018-02-22 09:56:44	ga_ls8c_ard_3-0-0_096083_2018-02-22_final
2018-02-22 09:57:08	ga_ls8c_ard_3-0-0_096084_2018-02-22_final
2018-02-22 09:57:32	ga_ls8c_ard_3-0-0_096085_2018-02-22_final
2018-02-22 09:57:56	ga_ls8c_ard_3-0-0_096086_2018-02-22_final
2018-02-24 09:46:21	ga_ls8c_ard_3-0-0_094088_2018-02-24_final
2018-03-31 10:08:59	ga_ls8c_ard_3-0-0_099068_2018-03-31_final
2018-03-31 10:09:23	ga_ls8c_ard_3-0-0_099069_2018-03-31_final
2018-03-31 10:09:47	ga_ls8c_ard_3-0-0_099070_2018-03-31_final
2018-03-31 10:10:11	ga_ls8c_ard_3-0-0_099071_2018-03-31_final
2018-03-31 10:10:35	ga_ls8c_ard_3-0-0_099072_2018-03-31_final
2018-03-31 10:10:59	ga_ls8c_ard_3-0-0_099073_2018-03-31_final
2018-04-02 10:00:12	ga_ls8c_ard_3-0-0_097077_2018-04-02_final
2018-04-02 10:00:36	ga_ls8c_ard_3-0-0_097078_2018-04-02_final
2018-04-02 10:01:00	ga_ls8c_ard_3-0-0_097079_2018-04-02_final
2018-04-02 10:01:24	ga_ls8c_ard_3-0-0_097080_2018-04-02_final
2018-04-02 10:01:48	ga_ls8c_ard_3-0-0_097081_2018-04-02_final
2018-04-02 10:02:12	ga_ls8c_ard_3-0-0_097082_2018-04-02_final
2018-04-04 09:51:01	ga_ls8c_ard_3-0-0_095085_2018-04-04_final
2018-04-04 09:51:25	ga_ls8c_ard_3-0-0_095086_2018-04-04_final
2018-04-04 09:51:49	ga_ls8c_ard_3-0-0_095087_2018-04-04_final
2018-04-04 09:52:13	ga_ls8c_ard_3-0-0_095088_2018-04-04_final
2018-05-06 09:50:42	ga_ls8c_ard_3-0-0_095085_2018-05-06_final
2018-05-06 09:51:06	ga_ls8c_ard_3-0-0_095086_2018-05-06_final
2018-05-06 09:51:30	ga_ls8c_ard_3-0-0_095087_2018-05-06_final
2018-05-06 09:51:54	ga_ls8c_ard_3-0-0_095088_2018-05-06_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