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
2014-07-28 11:41:33	ga_ls8c_ard_3-0-0_113082_2014-07-28_final
2014-07-28 11:41:57	ga_ls8c_ard_3-0-0_113083_2014-07-28_final
2014-07-28 11:42:21	ga_ls8c_ard_3-0-0_113084_2014-07-28_final
2014-08-04 11:45:49	ga_ls8c_ard_3-0-0_114077_2014-08-04_final
2014-08-04 11:46:13	ga_ls8c_ard_3-0-0_114078_2014-08-04_final
2014-08-04 11:46:37	ga_ls8c_ard_3-0-0_114079_2014-08-04_final
2014-08-04 11:47:01	ga_ls8c_ard_3-0-0_114080_2014-08-04_final
2014-08-04 11:47:25	ga_ls8c_ard_3-0-0_114081_2014-08-04_final
2014-08-13 11:41:18	ga_ls8c_ard_3-0-0_113081_2014-08-13_final
2014-08-13 11:41:42	ga_ls8c_ard_3-0-0_113082_2014-08-13_final
2014-08-13 11:42:06	ga_ls8c_ard_3-0-0_113083_2014-08-13_final
2014-08-13 11:42:30	ga_ls8c_ard_3-0-0_113084_2014-08-13_final
2014-09-05 11:45:57	ga_ls8c_ard_3-0-0_114077_2014-09-05_final
2014-09-05 11:46:21	ga_ls8c_ard_3-0-0_114078_2014-09-05_final
2014-09-05 11:46:45	ga_ls8c_ard_3-0-0_114079_2014-09-05_final
2014-09-05 11:47:09	ga_ls8c_ard_3-0-0_114080_2014-09-05_final
2014-09-05 11:47:33	ga_ls8c_ard_3-0-0_114081_2014-09-05_final
2014-09-12 11:50:57	ga_ls8c_ard_3-0-0_115074_2014-09-12_final
2014-09-12 11:51:21	ga_ls8c_ard_3-0-0_115075_2014-09-12_final
2014-09-12 11:51:45	ga_ls8c_ard_3-0-0_115076_2014-09-12_final
2014-09-12 11:52:09	ga_ls8c_ard_3-0-0_115077_2014-09-12_final
2014-09-12 11:52:33	ga_ls8c_ard_3-0-0_115078_2014-09-12_final
2014-09-12 11:52:57	ga_ls8c_ard_3-0-0_115079_2014-09-12_final
2014-11-15 11:51:01	ga_ls8c_ard_3-0-0_115074_2014-11-15_final
2014-11-15 11:51:25	ga_ls8c_ard_3-0-0_115075_2014-11-15_final
2014-11-15 11:51:49	ga_ls8c_ard_3-0-0_115076_2014-11-15_final
2014-11-15 11:52:13	ga_ls8c_ard_3-0-0_115077_2014-11-15_final
2014-11-15 11:52:37	ga_ls8c_ard_3-0-0_115078_2014-11-15_final
2014-11-15 11:53:01	ga_ls8c_ard_3-0-0_115079_2014-11-15_final
2014-11-17 11:41:50	ga_ls8c_ard_3-0-0_113082_2014-11-17_final
2014-11-17 11:42:14	ga_ls8c_ard_3-0-0_113083_2014-11-17_final
2014-11-17 11:42:38	ga_ls8c_ard_3-0-0_113084_2014-11-17_final
2014-11-24 11:46:00	ga_ls8c_ard_3-0-0_114077_2014-11-24_final
2014-11-24 11:46:24	ga_ls8c_ard_3-0-0_114078_2014-11-24_final
2014-11-24 11:46:48	ga_ls8c_ard_3-0-0_114079_2014-11-24_final
2014-11-24 11:47:12	ga_ls8c_ard_3-0-0_114080_2014-11-24_final
2014-11-24 11:47:36	ga_ls8c_ard_3-0-0_114081_2014-11-24_final
2016-05-07 11:36:15	ga_ls8c_ard_3-0-0_112085_2016-05-07_final
2016-05-23 11:36:16	ga_ls8c_ard_3-0-0_112085_2016-05-23_final
2016-06-08 11:36:20	ga_ls8c_ard_3-0-0_112085_2016-06-08_final
2016-06-29 11:50:14	ga_ls8c_ard_3-0-0_115073_2016-06-29_final
2016-06-29 11:50:38	ga_ls8c_ard_3-0-0_115074_2016-06-29_final
2016-06-29 11:51:02	ga_ls8c_ard_3-0-0_115075_2016-06-29_final
2016-06-29 11:51:26	ga_ls8c_ard_3-0-0_115076_2016-06-29_final
2016-06-29 11:51:50	ga_ls8c_ard_3-0-0_115077_2016-06-29_final
2016-07-15 11:50:22	ga_ls8c_ard_3-0-0_115073_2016-07-15_final
2016-07-15 11:50:45	ga_ls8c_ard_3-0-0_115074_2016-07-15_final
2016-07-15 11:51:09	ga_ls8c_ard_3-0-0_115075_2016-07-15_final
2016-07-15 11:51:33	ga_ls8c_ard_3-0-0_115076_2016-07-15_final
2016-07-15 11:51:57	ga_ls8c_ard_3-0-0_115077_2016-07-15_final
2016-07-15 11:52:21	ga_ls8c_ard_3-0-0_115078_2016-07-15_final
2016-07-15 11:52:45	ga_ls8c_ard_3-0-0_115079_2016-07-15_final
2016-07-26 11:36:39	ga_ls8c_ard_3-0-0_112085_2016-07-26_final
2018-10-25 11:50:18	ga_ls8c_ard_3-0-0_115073_2018-10-25_final
2018-10-25 11:50:42	ga_ls8c_ard_3-0-0_115074_2018-10-25_final
2018-10-25 11:51:06	ga_ls8c_ard_3-0-0_115075_2018-10-25_final
2018-10-25 11:51:30	ga_ls8c_ard_3-0-0_115076_2018-10-25_final
2018-10-25 11:51:54	ga_ls8c_ard_3-0-0_115077_2018-10-25_final
2018-10-25 11:52:18	ga_ls8c_ard_3-0-0_115078_2018-10-25_final
2018-10-25 11:52:41	ga_ls8c_ard_3-0-0_115079_2018-10-25_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
2018-12-12 11:52:40	ga_ls8c_ard_3-0-0_115079_2018-12-12_final
2018-12-21 11:45:42	ga_ls8c_ard_3-0-0_114077_2018-12-21_final
2018-12-21 11:46:06	ga_ls8c_ard_3-0-0_114078_2018-12-21_final
2018-12-21 11:46:30	ga_ls8c_ard_3-0-0_114079_2018-12-21_final
2018-12-21 11:46:54	ga_ls8c_ard_3-0-0_114080_2018-12-21_final
2018-12-21 11:47:18	ga_ls8c_ard_3-0-0_114081_2018-12-21_final
2019-01-06 11:45:41	ga_ls8c_ard_3-0-0_114077_2019-01-06_final
2019-01-06 11:46:05	ga_ls8c_ard_3-0-0_114078_2019-01-06_final
2019-01-06 11:46:29	ga_ls8c_ard_3-0-0_114079_2019-01-06_final
2019-01-06 11:46:53	ga_ls8c_ard_3-0-0_114080_2019-01-06_final
2019-01-06 11:47:17	ga_ls8c_ard_3-0-0_114081_2019-01-06_final
2021-11-11 11:46:12	ga_ls8c_ard_3-2-0_114077_2021-11-11_final
2021-11-11 11:46:36	ga_ls8c_ard_3-2-0_114078_2021-11-11_final
2021-11-11 11:47:00	ga_ls8c_ard_3-2-0_114079_2021-11-11_final
2021-11-11 11:47:24	ga_ls8c_ard_3-2-0_114080_2021-11-11_final
2021-11-11 11:47:48	ga_ls8c_ard_3-2-0_114081_2021-11-11_final
2021-11-13 11:37:01	ga_ls8c_ard_3-2-0_112085_2021-11-13_final
2023-04-30 11:50:17	ga_ls8c_ard_3-2-1_115074_2023-04-30_final
2023-04-30 11:50:41	ga_ls8c_ard_3-2-1_115075_2023-04-30_final
2023-04-30 11:51:05	ga_ls8c_ard_3-2-1_115076_2023-04-30_final
2023-04-30 11:51:29	ga_ls8c_ard_3-2-1_115077_2023-04-30_final
2023-04-30 11:51:53	ga_ls8c_ard_3-2-1_115078_2023-04-30_final
2023-04-30 11:52:17	ga_ls8c_ard_3-2-1_115079_2023-04-30_final
2023-07-03 11:50:26	ga_ls8c_ard_3-2-1_115074_2023-07-03_final
2023-07-03 11:50:50	ga_ls8c_ard_3-2-1_115075_2023-07-03_final
2023-07-03 11:51:14	ga_ls8c_ard_3-2-1_115076_2023-07-03_final
2023-07-03 11:51:38	ga_ls8c_ard_3-2-1_115077_2023-07-03_final
2023-07-03 11:52:02	ga_ls8c_ard_3-2-1_115078_2023-07-03_final
2023-07-05 11:40:54	ga_ls8c_ard_3-2-1_113081_2023-07-05_final
2023-07-05 11:41:17	ga_ls8c_ard_3-2-1_113082_2023-07-05_final
2023-07-05 11:41:41	ga_ls8c_ard_3-2-1_113083_2023-07-05_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