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
2014-08-29 11:40:07	ga_ls8c_ard_3-0-0_113078_2014-08-29_final
2014-08-29 11:40:31	ga_ls8c_ard_3-0-0_113079_2014-08-29_final
2014-08-29 11:40:55	ga_ls8c_ard_3-0-0_113080_2014-08-29_final
2014-08-29 11:41:19	ga_ls8c_ard_3-0-0_113081_2014-08-29_final
2014-08-29 11:41:43	ga_ls8c_ard_3-0-0_113082_2014-08-29_final
2014-08-29 11:42:07	ga_ls8c_ard_3-0-0_113083_2014-08-29_final
2014-10-30 11:50:58	ga_ls8c_ard_3-0-0_115074_2014-10-30_final
2014-11-01 11:40:13	ga_ls8c_ard_3-0-0_113078_2014-11-01_final
2014-11-01 11:40:37	ga_ls8c_ard_3-0-0_113079_2014-11-01_final
2014-11-01 11:41:01	ga_ls8c_ard_3-0-0_113080_2014-11-01_final
2014-11-01 11:41:25	ga_ls8c_ard_3-0-0_113081_2014-11-01_final
2014-11-01 11:41:49	ga_ls8c_ard_3-0-0_113082_2014-11-01_final
2014-11-01 11:42:13	ga_ls8c_ard_3-0-0_113083_2014-11-01_final
2016-07-01 11:39:53	ga_ls8c_ard_3-0-0_113078_2016-07-01_final
2016-07-01 11:40:17	ga_ls8c_ard_3-0-0_113079_2016-07-01_final
2016-07-01 11:40:41	ga_ls8c_ard_3-0-0_113080_2016-07-01_final
2016-07-01 11:41:05	ga_ls8c_ard_3-0-0_113081_2016-07-01_final
2016-07-01 11:41:29	ga_ls8c_ard_3-0-0_113082_2016-07-01_final
2016-07-01 11:41:53	ga_ls8c_ard_3-0-0_113083_2016-07-01_final
2016-08-09 11:44:39	ga_ls8c_ard_3-0-0_114074_2016-08-09_final
2016-08-09 11:45:03	ga_ls8c_ard_3-0-0_114075_2016-08-09_final
2016-08-09 11:45:27	ga_ls8c_ard_3-0-0_114076_2016-08-09_final
2016-08-09 11:45:51	ga_ls8c_ard_3-0-0_114077_2016-08-09_final
2016-08-09 11:46:15	ga_ls8c_ard_3-0-0_114078_2016-08-09_final
2016-08-09 11:46:39	ga_ls8c_ard_3-0-0_114079_2016-08-09_final
2016-08-11 11:35:29	ga_ls8c_ard_3-0-0_112082_2016-08-11_final
2016-08-11 11:35:53	ga_ls8c_ard_3-0-0_112083_2016-08-11_final
2016-08-11 11:36:17	ga_ls8c_ard_3-0-0_112084_2016-08-11_final
2016-08-11 11:36:41	ga_ls8c_ard_3-0-0_112085_2016-08-11_final
2017-03-23 11:35:05	ga_ls8c_ard_3-0-0_112082_2017-03-23_final
2017-03-23 11:35:29	ga_ls8c_ard_3-0-0_112083_2017-03-23_final
2017-03-23 11:35:53	ga_ls8c_ard_3-0-0_112084_2017-03-23_final
2017-03-23 11:36:17	ga_ls8c_ard_3-0-0_112085_2017-03-23_final
2017-04-08 11:34:59	ga_ls8c_ard_3-0-0_112082_2017-04-08_final
2017-04-08 11:35:23	ga_ls8c_ard_3-0-0_112083_2017-04-08_final
2017-04-08 11:35:47	ga_ls8c_ard_3-0-0_112084_2017-04-08_final
2017-04-08 11:36:11	ga_ls8c_ard_3-0-0_112085_2017-04-08_final
2017-04-24 11:34:49	ga_ls8c_ard_3-0-0_112082_2017-04-24_final
2017-04-24 11:35:13	ga_ls8c_ard_3-0-0_112083_2017-04-24_final
2017-04-24 11:35:37	ga_ls8c_ard_3-0-0_112084_2017-04-24_final
2017-04-24 11:36:01	ga_ls8c_ard_3-0-0_112085_2017-04-24_final
2017-05-10 11:34:50	ga_ls8c_ard_3-0-0_112082_2017-05-10_final
2017-05-10 11:35:13	ga_ls8c_ard_3-0-0_112083_2017-05-10_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
2017-05-26 11:35:00	ga_ls8c_ard_3-0-0_112082_2017-05-26_final
2017-05-26 11:35:24	ga_ls8c_ard_3-0-0_112083_2017-05-26_final
2017-05-26 11:35:48	ga_ls8c_ard_3-0-0_112084_2017-05-26_final
2017-05-26 11:36:12	ga_ls8c_ard_3-0-0_112085_2017-05-26_final
2017-06-11 11:35:08	ga_ls8c_ard_3-0-0_112082_2017-06-11_final
2017-06-11 11:35:32	ga_ls8c_ard_3-0-0_112083_2017-06-11_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 11:35:13	ga_ls8c_ard_3-0-0_112082_2017-06-27_final
2017-06-27 11:35:37	ga_ls8c_ard_3-0-0_112083_2017-06-27_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
2020-03-13 11:44:30	ga_ls8c_ard_3-1-0_114074_2020-03-13_final
2020-03-13 11:44:54	ga_ls8c_ard_3-1-0_114075_2020-03-13_final
2020-03-13 11:45:18	ga_ls8c_ard_3-1-0_114076_2020-03-13_final
2020-03-13 11:45:42	ga_ls8c_ard_3-1-0_114077_2020-03-13_final
2020-03-13 11:46:06	ga_ls8c_ard_3-1-0_114078_2020-03-13_final
2020-03-13 11:46:30	ga_ls8c_ard_3-1-0_114079_2020-03-13_final
2020-03-20 11:50:13	ga_ls8c_ard_3-1-0_115073_2020-03-20_final
2020-03-20 11:50:37	ga_ls8c_ard_3-1-0_115074_2020-03-20_final
2020-03-22 11:39:50	ga_ls8c_ard_3-1-0_113078_2020-03-22_final
2020-03-22 11:40:14	ga_ls8c_ard_3-1-0_113079_2020-03-22_final
2020-03-22 11:40:38	ga_ls8c_ard_3-1-0_113080_2020-03-22_final
2020-03-22 11:41:02	ga_ls8c_ard_3-1-0_113081_2020-03-22_final
2020-03-22 11:41:26	ga_ls8c_ard_3-1-0_113082_2020-03-22_final
2020-03-22 11:41:50	ga_ls8c_ard_3-1-0_113083_2020-03-22_final
2020-05-07 11:49:49	ga_ls8c_ard_3-1-0_115073_2020-05-07_final
2020-05-07 11:50:13	ga_ls8c_ard_3-1-0_115074_2020-05-07_final
2020-05-16 11:44:03	ga_ls8c_ard_3-1-0_114074_2020-05-16_final
2020-05-16 11:44:27	ga_ls8c_ard_3-1-0_114075_2020-05-16_final
2020-05-16 11:44:51	ga_ls8c_ard_3-1-0_114076_2020-05-16_final
2020-05-16 11:45:15	ga_ls8c_ard_3-1-0_114077_2020-05-16_final
2020-05-16 11:45:39	ga_ls8c_ard_3-1-0_114078_2020-05-16_final
2020-05-16 11:46:03	ga_ls8c_ard_3-1-0_114079_2020-05-16_final
2020-05-23 11:49:51	ga_ls8c_ard_3-1-0_115073_2020-05-23_final
2020-05-25 11:39:30	ga_ls8c_ard_3-1-0_113078_2020-05-25_final
2020-05-25 11:39:54	ga_ls8c_ard_3-1-0_113079_2020-05-25_final
2020-05-25 11:40:17	ga_ls8c_ard_3-1-0_113080_2020-05-25_final
2020-05-25 11:40:41	ga_ls8c_ard_3-1-0_113081_2020-05-25_final
2020-05-25 11:41:05	ga_ls8c_ard_3-1-0_113082_2020-05-25_final
2020-05-25 11:41:29	ga_ls8c_ard_3-1-0_113083_2020-05-25_final
2020-06-17 11:44:17	ga_ls8c_ard_3-1-0_114074_2020-06-17_final
2020-06-17 11:44:41	ga_ls8c_ard_3-1-0_114075_2020-06-17_final
2020-06-17 11:45:05	ga_ls8c_ard_3-1-0_114076_2020-06-17_final
2020-06-17 11:45:29	ga_ls8c_ard_3-1-0_114077_2020-06-17_final
2020-06-17 11:45:53	ga_ls8c_ard_3-1-0_114078_2020-06-17_final
2020-06-17 11:46:17	ga_ls8c_ard_3-1-0_114079_2020-06-17_final
2022-11-14 11:45:11	ga_ls8c_ard_3-2-1_114074_2022-11-14_final
2022-11-14 11:45:35	ga_ls8c_ard_3-2-1_114075_2022-11-14_final
2022-11-14 11:45:59	ga_ls8c_ard_3-2-1_114076_2022-11-14_final
2022-11-14 11:46:23	ga_ls8c_ard_3-2-1_114077_2022-11-14_final
2022-11-14 11:46:47	ga_ls8c_ard_3-2-1_114078_2022-11-14_final
2022-11-14 11:47:11	ga_ls8c_ard_3-2-1_114079_2022-11-14_final
2022-11-16 11:36:00	ga_ls8c_ard_3-2-1_112082_2022-11-16_final
2022-11-16 11:36:24	ga_ls8c_ard_3-2-1_112083_2022-11-16_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