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
2015-12-06 11:40:58	ga_ls8c_ard_3-0-0_113080_2015-12-06_final
2015-12-06 11:41:22	ga_ls8c_ard_3-0-0_113081_2015-12-06_final
2015-12-06 11:41:46	ga_ls8c_ard_3-0-0_113082_2015-12-06_final
2015-12-06 11:42:10	ga_ls8c_ard_3-0-0_113083_2015-12-06_final
2015-12-06 11:42:34	ga_ls8c_ard_3-0-0_113084_2015-12-06_final
2015-12-13 11:45:09	ga_ls8c_ard_3-0-0_114075_2015-12-13_final
2015-12-13 11:45:33	ga_ls8c_ard_3-0-0_114076_2015-12-13_final
2015-12-13 11:45:57	ga_ls8c_ard_3-0-0_114077_2015-12-13_final
2015-12-13 11:46:21	ga_ls8c_ard_3-0-0_114078_2015-12-13_final
2015-12-13 11:46:44	ga_ls8c_ard_3-0-0_114079_2015-12-13_final
2015-12-13 11:47:08	ga_ls8c_ard_3-0-0_114080_2015-12-13_final
2015-12-13 11:47:32	ga_ls8c_ard_3-0-0_114081_2015-12-13_final
2015-12-15 11:35:59	ga_ls8c_ard_3-0-0_112083_2015-12-15_final
2015-12-15 11:36:23	ga_ls8c_ard_3-0-0_112084_2015-12-15_final
2015-12-15 11:36:47	ga_ls8c_ard_3-0-0_112085_2015-12-15_final
2016-01-23 11:40:55	ga_ls8c_ard_3-0-0_113080_2016-01-23_final
2016-01-23 11:41:19	ga_ls8c_ard_3-0-0_113081_2016-01-23_final
2016-01-23 11:41:43	ga_ls8c_ard_3-0-0_113082_2016-01-23_final
2016-01-23 11:42:07	ga_ls8c_ard_3-0-0_113083_2016-01-23_final
2016-01-23 11:42:31	ga_ls8c_ard_3-0-0_113084_2016-01-23_final
2016-03-18 11:44:50	ga_ls8c_ard_3-0-0_114075_2016-03-18_final
2016-03-18 11:45:14	ga_ls8c_ard_3-0-0_114076_2016-03-18_final
2016-03-18 11:45:38	ga_ls8c_ard_3-0-0_114077_2016-03-18_final
2016-03-18 11:46:02	ga_ls8c_ard_3-0-0_114078_2016-03-18_final
2016-03-18 11:46:26	ga_ls8c_ard_3-0-0_114079_2016-03-18_final
2016-03-18 11:46:50	ga_ls8c_ard_3-0-0_114080_2016-03-18_final
2016-03-18 11:47:14	ga_ls8c_ard_3-0-0_114081_2016-03-18_final
2016-03-20 11:35:39	ga_ls8c_ard_3-0-0_112083_2016-03-20_final
2016-03-20 11:36:03	ga_ls8c_ard_3-0-0_112084_2016-03-20_final
2016-03-20 11:36:27	ga_ls8c_ard_3-0-0_112085_2016-03-20_final
2018-02-13 11:40:40	ga_ls8c_ard_3-0-0_113080_2018-02-13_final
2018-02-13 11:41:03	ga_ls8c_ard_3-0-0_113081_2018-02-13_final
2018-02-13 11:41:27	ga_ls8c_ard_3-0-0_113082_2018-02-13_final
2018-02-13 11:41:51	ga_ls8c_ard_3-0-0_113083_2018-02-13_final
2018-02-13 11:42:15	ga_ls8c_ard_3-0-0_113084_2018-02-13_final
2018-07-30 11:44:18	ga_ls8c_ard_3-0-0_114075_2018-07-30_final
2018-07-30 11:44:42	ga_ls8c_ard_3-0-0_114076_2018-07-30_final
2018-07-30 11:45:06	ga_ls8c_ard_3-0-0_114077_2018-07-30_final
2018-07-30 11:45:30	ga_ls8c_ard_3-0-0_114078_2018-07-30_final
2018-07-30 11:45:54	ga_ls8c_ard_3-0-0_114079_2018-07-30_final
2018-07-30 11:46:18	ga_ls8c_ard_3-0-0_114080_2018-07-30_final
2018-07-30 11:46:42	ga_ls8c_ard_3-0-0_114081_2018-07-30_final
2018-08-15 11:44:27	ga_ls8c_ard_3-0-0_114075_2018-08-15_final
2018-08-15 11:44:51	ga_ls8c_ard_3-0-0_114076_2018-08-15_final
2018-08-15 11:45:15	ga_ls8c_ard_3-0-0_114077_2018-08-15_final
2018-08-15 11:45:39	ga_ls8c_ard_3-0-0_114078_2018-08-15_final
2018-08-15 11:46:03	ga_ls8c_ard_3-0-0_114079_2018-08-15_final
2018-08-15 11:46:27	ga_ls8c_ard_3-0-0_114080_2018-08-15_final
2018-08-15 11:46:51	ga_ls8c_ard_3-0-0_114081_2018-08-15_final
2018-08-17 11:35:18	ga_ls8c_ard_3-0-0_112083_2018-08-17_final
2018-09-07 11:50:00	ga_ls8c_ard_3-0-0_115073_2018-09-07_final
2018-09-07 11:50:24	ga_ls8c_ard_3-0-0_115074_2018-09-07_final
2018-09-07 11:50:47	ga_ls8c_ard_3-0-0_115075_2018-09-07_final
2018-09-07 11:51:11	ga_ls8c_ard_3-0-0_115076_2018-09-07_final
2018-09-18 11:35:29	ga_ls8c_ard_3-0-0_112083_2018-09-18_final
2018-09-18 11:35:53	ga_ls8c_ard_3-0-0_112084_2018-09-18_final
2018-09-18 11:36:17	ga_ls8c_ard_3-0-0_112085_2018-09-18_final
2018-09-25 11:40:31	ga_ls8c_ard_3-0-0_113080_2018-09-25_final
2018-09-25 11:40:55	ga_ls8c_ard_3-0-0_113081_2018-09-25_final
2018-09-25 11:41:19	ga_ls8c_ard_3-0-0_113082_2018-09-25_final
2018-09-25 11:41:43	ga_ls8c_ard_3-0-0_113083_2018-09-25_final
2018-09-25 11:42:07	ga_ls8c_ard_3-0-0_113084_2018-09-25_final
2018-10-04 11:35:37	ga_ls8c_ard_3-0-0_112083_2018-10-04_final
2018-10-04 11:36:01	ga_ls8c_ard_3-0-0_112084_2018-10-04_final
2018-10-04 11:36:25	ga_ls8c_ard_3-0-0_112085_2018-10-04_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
2018-10-27 11:40:44	ga_ls8c_ard_3-0-0_113080_2018-10-27_final
2018-10-27 11:41:08	ga_ls8c_ard_3-0-0_113081_2018-10-27_final
2018-10-27 11:41:32	ga_ls8c_ard_3-0-0_113082_2018-10-27_final
2018-10-27 11:41:56	ga_ls8c_ard_3-0-0_113083_2018-10-27_final
2018-10-27 11:42:20	ga_ls8c_ard_3-0-0_113084_2018-10-27_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
2020-05-16 11:46:27	ga_ls8c_ard_3-1-0_114080_2020-05-16_final
2020-05-16 11:46:50	ga_ls8c_ard_3-1-0_114081_2020-05-16_final
2020-05-18 11:35:17	ga_ls8c_ard_3-1-0_112083_2020-05-18_final
2020-05-18 11:35:41	ga_ls8c_ard_3-1-0_112084_2020-05-18_final
2020-05-18 11:36:05	ga_ls8c_ard_3-1-0_112085_2020-05-18_final
2023-09-14 11:45:04	ga_ls8c_ard_3-2-1_114075_2023-09-14_final
2023-09-14 11:45:28	ga_ls8c_ard_3-2-1_114076_2023-09-14_final
2023-09-14 11:45:52	ga_ls8c_ard_3-2-1_114077_2023-09-14_final
2023-09-14 11:46:16	ga_ls8c_ard_3-2-1_114078_2023-09-14_final
2023-09-14 11:46:40	ga_ls8c_ard_3-2-1_114079_2023-09-14_final
2023-09-14 11:47:04	ga_ls8c_ard_3-2-1_114080_2023-09-14_final
2023-09-14 11:47:28	ga_ls8c_ard_3-2-1_114081_2023-09-14_final
2023-09-16 11:35:55	ga_ls8c_ard_3-2-1_112083_2023-09-16_final
2023-09-16 11:36:19	ga_ls8c_ard_3-2-1_112084_2023-09-16_final
2023-11-24 11:51:03	ga_ls8c_ard_3-2-1_115074_2023-11-24_final
2023-11-24 11:51:27	ga_ls8c_ard_3-2-1_115075_2023-11-24_final
2023-11-24 11:51:51	ga_ls8c_ard_3-2-1_115076_2023-11-24_final
2023-11-26 11:41:05	ga_ls8c_ard_3-2-1_113080_2023-11-26_final
2023-11-26 11:41:29	ga_ls8c_ard_3-2-1_113081_2023-11-26_final
2023-11-26 11:41:53	ga_ls8c_ard_3-2-1_113082_2023-11-26_final
2023-11-26 11:42:17	ga_ls8c_ard_3-2-1_113083_2023-11-26_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years