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
2014-12-17 11:50:55	ga_ls8c_ard_3-0-0_115074_2014-12-17_final
2014-12-17 11:51:19	ga_ls8c_ard_3-0-0_115075_2014-12-17_final
2014-12-17 11:51:43	ga_ls8c_ard_3-0-0_115076_2014-12-17_final
2014-12-17 11:52:07	ga_ls8c_ard_3-0-0_115077_2014-12-17_final
2014-12-17 11:52:31	ga_ls8c_ard_3-0-0_115078_2014-12-17_final
2015-01-02 11:50:50	ga_ls8c_ard_3-0-0_115074_2015-01-02_final
2015-01-02 11:51:14	ga_ls8c_ard_3-0-0_115075_2015-01-02_final
2015-01-02 11:51:38	ga_ls8c_ard_3-0-0_115076_2015-01-02_final
2015-01-02 11:52:02	ga_ls8c_ard_3-0-0_115077_2015-01-02_final
2015-01-02 11:52:26	ga_ls8c_ard_3-0-0_115078_2015-01-02_final
2015-01-04 11:41:17	ga_ls8c_ard_3-0-0_113081_2015-01-04_final
2015-01-04 11:41:41	ga_ls8c_ard_3-0-0_113082_2015-01-04_final
2015-01-04 11:42:05	ga_ls8c_ard_3-0-0_113083_2015-01-04_final
2015-01-04 11:42:29	ga_ls8c_ard_3-0-0_113084_2015-01-04_final
2015-01-11 11:45:52	ga_ls8c_ard_3-0-0_114077_2015-01-11_final
2015-01-11 11:46:16	ga_ls8c_ard_3-0-0_114078_2015-01-11_final
2015-01-11 11:46:40	ga_ls8c_ard_3-0-0_114079_2015-01-11_final
2015-01-11 11:47:04	ga_ls8c_ard_3-0-0_114080_2015-01-11_final
2015-01-11 11:47:28	ga_ls8c_ard_3-0-0_114081_2015-01-11_final
2015-01-18 11:50:49	ga_ls8c_ard_3-0-0_115074_2015-01-18_final
2015-01-18 11:51:13	ga_ls8c_ard_3-0-0_115075_2015-01-18_final
2015-01-18 11:51:36	ga_ls8c_ard_3-0-0_115076_2015-01-18_final
2015-01-18 11:52:00	ga_ls8c_ard_3-0-0_115077_2015-01-18_final
2015-01-18 11:52:24	ga_ls8c_ard_3-0-0_115078_2015-01-18_final
2015-01-20 11:41:13	ga_ls8c_ard_3-0-0_113081_2015-01-20_final
2015-01-20 11:41:37	ga_ls8c_ard_3-0-0_113082_2015-01-20_final
2015-01-20 11:42:01	ga_ls8c_ard_3-0-0_113083_2015-01-20_final
2015-01-20 11:42:25	ga_ls8c_ard_3-0-0_113084_2015-01-20_final
2015-08-23 11:45:36	ga_ls8c_ard_3-0-0_114077_2015-08-23_final
2015-08-23 11:45:59	ga_ls8c_ard_3-0-0_114078_2015-08-23_final
2015-08-23 11:46:23	ga_ls8c_ard_3-0-0_114079_2015-08-23_final
2015-08-23 11:46:47	ga_ls8c_ard_3-0-0_114080_2015-08-23_final
2015-08-23 11:47:11	ga_ls8c_ard_3-0-0_114081_2015-08-23_final
2015-08-25 11:36:02	ga_ls8c_ard_3-0-0_112084_2015-08-25_final
2015-08-25 11:36:26	ga_ls8c_ard_3-0-0_112085_2015-08-25_final
2015-09-24 11:45:49	ga_ls8c_ard_3-0-0_114077_2015-09-24_final
2015-09-24 11:46:13	ga_ls8c_ard_3-0-0_114078_2015-09-24_final
2015-09-24 11:46:37	ga_ls8c_ard_3-0-0_114079_2015-09-24_final
2015-09-24 11:47:01	ga_ls8c_ard_3-0-0_114080_2015-09-24_final
2015-09-24 11:47:25	ga_ls8c_ard_3-0-0_114081_2015-09-24_final
2015-10-10 11:45:50	ga_ls8c_ard_3-0-0_114077_2015-10-10_final
2015-10-10 11:46:14	ga_ls8c_ard_3-0-0_114078_2015-10-10_final
2015-10-10 11:46:38	ga_ls8c_ard_3-0-0_114079_2015-10-10_final
2015-10-10 11:47:02	ga_ls8c_ard_3-0-0_114080_2015-10-10_final
2015-10-10 11:47:26	ga_ls8c_ard_3-0-0_114081_2015-10-10_final
2015-11-11 11:45:56	ga_ls8c_ard_3-0-0_114077_2015-11-11_final
2015-11-11 11:46:20	ga_ls8c_ard_3-0-0_114078_2015-11-11_final
2015-11-11 11:46:43	ga_ls8c_ard_3-0-0_114079_2015-11-11_final
2015-11-11 11:47:07	ga_ls8c_ard_3-0-0_114080_2015-11-11_final
2015-11-11 11:47:31	ga_ls8c_ard_3-0-0_114081_2015-11-11_final
2016-12-17 11:36:55	ga_ls8c_ard_3-0-0_112085_2016-12-17_final
2017-02-03 11:36:41	ga_ls8c_ard_3-0-0_112085_2017-02-03_final
2017-03-07 11:36:28	ga_ls8c_ard_3-0-0_112085_2017-03-07_final
2017-03-23 11:36:17	ga_ls8c_ard_3-0-0_112085_2017-03-23_final
2017-04-08 11:36:11	ga_ls8c_ard_3-0-0_112085_2017-04-08_final
2017-04-24 11:36:01	ga_ls8c_ard_3-0-0_112085_2017-04-24_final
2017-05-10 11:35:37	ga_ls8c_ard_3-0-0_112084_2017-05-10_final
2017-05-10 11:36:01	ga_ls8c_ard_3-0-0_112085_2017-05-10_final
2017-06-11 11:35:56	ga_ls8c_ard_3-0-0_112084_2017-06-11_final
2017-06-11 11:36:20	ga_ls8c_ard_3-0-0_112085_2017-06-11_final
2017-06-27 11:36:01	ga_ls8c_ard_3-0-0_112084_2017-06-27_final
2017-06-27 11:36:25	ga_ls8c_ard_3-0-0_112085_2017-06-27_final
2018-11-26 11:50:20	ga_ls8c_ard_3-0-0_115073_2018-11-26_final
2018-11-26 11:50:44	ga_ls8c_ard_3-0-0_115074_2018-11-26_final
2018-11-26 11:51:08	ga_ls8c_ard_3-0-0_115075_2018-11-26_final
2018-11-26 11:51:32	ga_ls8c_ard_3-0-0_115076_2018-11-26_final
2018-11-26 11:51:56	ga_ls8c_ard_3-0-0_115077_2018-11-26_final
2018-11-26 11:52:20	ga_ls8c_ard_3-0-0_115078_2018-11-26_final
2018-11-28 11:41:10	ga_ls8c_ard_3-0-0_113081_2018-11-28_final
2018-11-28 11:41:34	ga_ls8c_ard_3-0-0_113082_2018-11-28_final
2018-11-28 11:41:58	ga_ls8c_ard_3-0-0_113083_2018-11-28_final
2018-11-28 11:42:22	ga_ls8c_ard_3-0-0_113084_2018-11-28_final
2018-12-12 11:50:17	ga_ls8c_ard_3-0-0_115073_2018-12-12_final
2018-12-12 11:50:41	ga_ls8c_ard_3-0-0_115074_2018-12-12_final
2018-12-12 11:51:05	ga_ls8c_ard_3-0-0_115075_2018-12-12_final
2018-12-12 11:51:29	ga_ls8c_ard_3-0-0_115076_2018-12-12_final
2018-12-12 11:51:53	ga_ls8c_ard_3-0-0_115077_2018-12-12_final
2018-12-12 11:52:17	ga_ls8c_ard_3-0-0_115078_2018-12-12_final
2019-11-08 11:36:38	ga_ls8c_ard_3-1-0_112084_2019-11-08_final
2019-11-08 11:37:02	ga_ls8c_ard_3-1-0_112085_2019-11-08_final
2019-11-24 11:36:58	ga_ls8c_ard_3-1-0_112085_2019-11-24_final
2019-12-08 11:46:08	ga_ls8c_ard_3-1-0_114077_2019-12-08_final
2019-12-08 11:46:32	ga_ls8c_ard_3-1-0_114078_2019-12-08_final
2019-12-08 11:46:56	ga_ls8c_ard_3-1-0_114079_2019-12-08_final
2019-12-08 11:47:20	ga_ls8c_ard_3-1-0_114080_2019-12-08_final
2019-12-08 11:47:44	ga_ls8c_ard_3-1-0_114081_2019-12-08_final
2019-12-10 11:36:58	ga_ls8c_ard_3-1-0_112085_2019-12-10_final
2020-01-18 11:41:24	ga_ls8c_ard_3-1-0_113081_2020-01-18_final
2020-01-18 11:41:48	ga_ls8c_ard_3-1-0_113082_2020-01-18_final
2020-01-18 11:42:12	ga_ls8c_ard_3-1-0_113083_2020-01-18_final
2020-01-18 11:42:36	ga_ls8c_ard_3-1-0_113084_2020-01-18_final
2020-02-19 11:41:15	ga_ls8c_ard_3-1-0_113081_2020-02-19_final
2020-02-19 11:41:39	ga_ls8c_ard_3-1-0_113082_2020-02-19_final
2020-02-19 11:42:03	ga_ls8c_ard_3-1-0_113083_2020-02-19_final
2020-02-19 11:42:27	ga_ls8c_ard_3-1-0_113084_2020-02-19_final
2020-02-26 11:45:48	ga_ls8c_ard_3-1-0_114077_2020-02-26_final
2020-02-26 11:46:12	ga_ls8c_ard_3-1-0_114078_2020-02-26_final
2020-02-26 11:46:36	ga_ls8c_ard_3-1-0_114079_2020-02-26_final
2020-02-26 11:47:00	ga_ls8c_ard_3-1-0_114080_2020-02-26_final
2020-02-26 11:47:24	ga_ls8c_ard_3-1-0_114081_2020-02-26_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years