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
2014-07-12 11:41:30	ga_ls8c_ard_3-0-0_113082_2014-07-12_final
2014-07-12 11:41:54	ga_ls8c_ard_3-0-0_113083_2014-07-12_final
2014-07-12 11:42:18	ga_ls8c_ard_3-0-0_113084_2014-07-12_final
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
2014-08-29 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
2014-08-29 11:42:31	ga_ls8c_ard_3-0-0_113084_2014-08-29_final
2014-09-14 11:41:47	ga_ls8c_ard_3-0-0_113082_2014-09-14_final
2014-09-14 11:42:11	ga_ls8c_ard_3-0-0_113083_2014-09-14_final
2014-09-14 11:42:35	ga_ls8c_ard_3-0-0_113084_2014-09-14_final
2014-09-21 11:46:20	ga_ls8c_ard_3-0-0_114078_2014-09-21_final
2014-09-21 11:46:44	ga_ls8c_ard_3-0-0_114079_2014-09-21_final
2014-09-21 11:47:08	ga_ls8c_ard_3-0-0_114080_2014-09-21_final
2014-09-21 11:47:32	ga_ls8c_ard_3-0-0_114081_2014-09-21_final
2014-09-30 11:41:47	ga_ls8c_ard_3-0-0_113082_2014-09-30_final
2014-09-30 11:42:11	ga_ls8c_ard_3-0-0_113083_2014-09-30_final
2014-09-30 11:42:35	ga_ls8c_ard_3-0-0_113084_2014-09-30_final
2017-03-30 11:41:14	ga_ls8c_ard_3-0-0_113082_2017-03-30_final
2017-03-30 11:41:38	ga_ls8c_ard_3-0-0_113083_2017-03-30_final
2017-03-30 11:42:02	ga_ls8c_ard_3-0-0_113084_2017-03-30_final
2017-04-04 11:56:32	ga_ls8c_ard_3-0-0_116074_2017-04-04_final
2017-10-08 11:41:54	ga_ls8c_ard_3-0-0_113082_2017-10-08_final
2017-10-08 11:42:18	ga_ls8c_ard_3-0-0_113083_2017-10-08_final
2017-10-08 11:42:42	ga_ls8c_ard_3-0-0_113084_2017-10-08_final
2017-10-22 11:50:43	ga_ls8c_ard_3-0-0_115073_2017-10-22_final
2017-10-22 11:51:07	ga_ls8c_ard_3-0-0_115074_2017-10-22_final
2017-10-22 11:51:30	ga_ls8c_ard_3-0-0_115075_2017-10-22_final
2017-10-22 11:51:54	ga_ls8c_ard_3-0-0_115076_2017-10-22_final
2017-10-22 11:52:18	ga_ls8c_ard_3-0-0_115077_2017-10-22_final
2017-10-22 11:52:42	ga_ls8c_ard_3-0-0_115078_2017-10-22_final
2017-10-22 11:53:06	ga_ls8c_ard_3-0-0_115079_2017-10-22_final
2017-10-24 11:41:57	ga_ls8c_ard_3-0-0_113082_2017-10-24_final
2017-10-24 11:42:20	ga_ls8c_ard_3-0-0_113083_2017-10-24_final
2017-10-24 11:42:44	ga_ls8c_ard_3-0-0_113084_2017-10-24_final
2017-10-31 11:46:31	ga_ls8c_ard_3-0-0_114078_2017-10-31_final
2017-10-31 11:46:55	ga_ls8c_ard_3-0-0_114079_2017-10-31_final
2017-10-31 11:47:19	ga_ls8c_ard_3-0-0_114080_2017-10-31_final
2017-10-31 11:47:43	ga_ls8c_ard_3-0-0_114081_2017-10-31_final
2017-11-02 11:36:57	ga_ls8c_ard_3-0-0_112085_2017-11-02_final
2017-11-14 11:57:14	ga_ls8c_ard_3-0-0_116074_2017-11-14_final
2017-11-16 11:46:28	ga_ls8c_ard_3-0-0_114078_2017-11-16_final
2017-11-16 11:46:52	ga_ls8c_ard_3-0-0_114079_2017-11-16_final
2017-11-16 11:47:16	ga_ls8c_ard_3-0-0_114080_2017-11-16_final
2017-11-16 11:47:40	ga_ls8c_ard_3-0-0_114081_2017-11-16_final
2017-11-23 11:50:36	ga_ls8c_ard_3-0-0_115073_2017-11-23_final
2017-11-23 11:51:00	ga_ls8c_ard_3-0-0_115074_2017-11-23_final
2017-11-23 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-11-23_final
2017-11-23 11:51:48	ga_ls8c_ard_3-0-0_115076_2017-11-23_final
2017-11-23 11:52:12	ga_ls8c_ard_3-0-0_115077_2017-11-23_final
2017-11-23 11:52:36	ga_ls8c_ard_3-0-0_115078_2017-11-23_final
2017-11-23 11:53:00	ga_ls8c_ard_3-0-0_115079_2017-11-23_final
2017-11-25 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-11-25_final
2017-11-25 11:42:13	ga_ls8c_ard_3-0-0_113083_2017-11-25_final
2017-11-25 11:42:37	ga_ls8c_ard_3-0-0_113084_2017-11-25_final
2017-12-27 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-12-27_final
2018-01-03 11:46:22	ga_ls8c_ard_3-0-0_114078_2018-01-03_final
2018-01-03 11:46:46	ga_ls8c_ard_3-0-0_114079_2018-01-03_final
2018-01-03 11:47:10	ga_ls8c_ard_3-0-0_114080_2018-01-03_final
2018-01-03 11:47:34	ga_ls8c_ard_3-0-0_114081_2018-01-03_final
2018-01-19 11:46:14	ga_ls8c_ard_3-0-0_114078_2018-01-19_final
2018-01-19 11:46:38	ga_ls8c_ard_3-0-0_114079_2018-01-19_final
2018-01-19 11:47:02	ga_ls8c_ard_3-0-0_114080_2018-01-19_final
2018-01-19 11:47:26	ga_ls8c_ard_3-0-0_114081_2018-01-19_final
2019-12-15 11:50:42	ga_ls8c_ard_3-2-0_115073_2019-12-15_final
2019-12-15 11:51:06	ga_ls8c_ard_3-2-0_115074_2019-12-15_final
2019-12-15 11:51:30	ga_ls8c_ard_3-2-0_115075_2019-12-15_final
2019-12-15 11:51:54	ga_ls8c_ard_3-2-0_115076_2019-12-15_final
2019-12-15 11:52:18	ga_ls8c_ard_3-2-0_115077_2019-12-15_final
2019-12-15 11:52:42	ga_ls8c_ard_3-2-0_115078_2019-12-15_final
2019-12-15 11:53:06	ga_ls8c_ard_3-2-0_115079_2019-12-15_final
2020-01-16 11:50:35	ga_ls8c_ard_3-1-0_115073_2020-01-16_final
2020-01-16 11:50:59	ga_ls8c_ard_3-1-0_115074_2020-01-16_final
2020-01-16 11:51:23	ga_ls8c_ard_3-1-0_115075_2020-01-16_final
2020-01-16 11:51:47	ga_ls8c_ard_3-1-0_115076_2020-01-16_final
2020-01-16 11:52:10	ga_ls8c_ard_3-1-0_115077_2020-01-16_final
2020-01-16 11:52:34	ga_ls8c_ard_3-1-0_115078_2020-01-16_final
2020-01-16 11:52:58	ga_ls8c_ard_3-1-0_115079_2020-01-16_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
2020-03-20 11:51:01	ga_ls8c_ard_3-1-0_115075_2020-03-20_final
2020-03-20 11:51:25	ga_ls8c_ard_3-1-0_115076_2020-03-20_final
2020-03-20 11:51:49	ga_ls8c_ard_3-1-0_115077_2020-03-20_final
2020-03-20 11:52:13	ga_ls8c_ard_3-1-0_115078_2020-03-20_final
2020-03-20 11:52:37	ga_ls8c_ard_3-1-0_115079_2020-03-20_final
2020-03-29 11:45:57	ga_ls8c_ard_3-1-0_114078_2020-03-29_final
2020-03-29 11:46:21	ga_ls8c_ard_3-1-0_114079_2020-03-29_final
2020-03-29 11:46:45	ga_ls8c_ard_3-1-0_114080_2020-03-29_final
2020-03-29 11:47:09	ga_ls8c_ard_3-1-0_114081_2020-03-29_final
2020-04-14 11:45:50	ga_ls8c_ard_3-1-0_114078_2020-04-14_final
2020-04-14 11:46:14	ga_ls8c_ard_3-1-0_114079_2020-04-14_final
2020-04-14 11:46:38	ga_ls8c_ard_3-1-0_114080_2020-04-14_final
2020-04-14 11:47:02	ga_ls8c_ard_3-1-0_114081_2020-04-14_final
2020-05-23 11:49:51	ga_ls8c_ard_3-1-0_115073_2020-05-23_final
2020-05-23 11:50:15	ga_ls8c_ard_3-1-0_115074_2020-05-23_final
2020-05-23 11:50:39	ga_ls8c_ard_3-1-0_115075_2020-05-23_final
2020-05-23 11:51:03	ga_ls8c_ard_3-1-0_115076_2020-05-23_final
2020-05-23 11:51:27	ga_ls8c_ard_3-1-0_115077_2020-05-23_final
2020-05-23 11:51:51	ga_ls8c_ard_3-1-0_115078_2020-05-23_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