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
2013-04-01 11:49:01	ga_ls8c_ard_3-0-0_114074_2013-04-01_final
2013-04-01 11:49:24	ga_ls8c_ard_3-0-0_114075_2013-04-01_final
2013-04-01 11:49:48	ga_ls8c_ard_3-0-0_114076_2013-04-01_final
2013-04-01 11:50:12	ga_ls8c_ard_3-0-0_114077_2013-04-01_final
2013-04-06 11:44:53	ga_ls8c_ard_3-0-0_114074_2013-04-06_final
2013-04-06 11:45:17	ga_ls8c_ard_3-0-0_114075_2013-04-06_final
2013-04-06 11:45:41	ga_ls8c_ard_3-0-0_114076_2013-04-06_final
2013-04-06 11:46:05	ga_ls8c_ard_3-0-0_114077_2013-04-06_final
2013-04-06 11:46:29	ga_ls8c_ard_3-0-0_114078_2013-04-06_final
2013-04-06 11:46:53	ga_ls8c_ard_3-0-0_114079_2013-04-06_final
2013-04-06 11:47:16	ga_ls8c_ard_3-0-0_114080_2013-04-06_final
2013-04-11 11:48:34	ga_ls8c_ard_3-0-0_114074_2013-04-11_final
2013-04-11 11:48:58	ga_ls8c_ard_3-0-0_114075_2013-04-11_final
2013-04-11 11:49:22	ga_ls8c_ard_3-0-0_114076_2013-04-11_final
2013-04-11 11:49:46	ga_ls8c_ard_3-0-0_114077_2013-04-11_final
2013-05-04 11:52:37	ga_ls8c_ard_3-0-0_115074_2013-05-04_final
2013-05-06 11:41:52	ga_ls8c_ard_3-0-0_113078_2013-05-06_final
2013-05-06 11:42:16	ga_ls8c_ard_3-0-0_113079_2013-05-06_final
2013-05-06 11:42:40	ga_ls8c_ard_3-0-0_113080_2013-05-06_final
2013-05-06 11:43:04	ga_ls8c_ard_3-0-0_113081_2013-05-06_final
2013-05-06 11:43:28	ga_ls8c_ard_3-0-0_113082_2013-05-06_final
2013-05-06 11:43:52	ga_ls8c_ard_3-0-0_113083_2013-05-06_final
2013-07-02 11:37:26	ga_ls8c_ard_3-0-0_112082_2013-07-02_final
2013-07-02 11:37:50	ga_ls8c_ard_3-0-0_112083_2013-07-02_final
2013-07-02 11:38:14	ga_ls8c_ard_3-0-0_112084_2013-07-02_final
2013-07-09 11:42:02	ga_ls8c_ard_3-0-0_113078_2013-07-09_final
2013-07-09 11:42:26	ga_ls8c_ard_3-0-0_113079_2013-07-09_final
2013-07-09 11:42:50	ga_ls8c_ard_3-0-0_113080_2013-07-09_final
2013-07-09 11:43:14	ga_ls8c_ard_3-0-0_113081_2013-07-09_final
2013-07-09 11:43:38	ga_ls8c_ard_3-0-0_113082_2013-07-09_final
2013-07-09 11:44:02	ga_ls8c_ard_3-0-0_113083_2013-07-09_final
2013-07-25 11:42:01	ga_ls8c_ard_3-0-0_113078_2013-07-25_final
2013-07-25 11:42:25	ga_ls8c_ard_3-0-0_113079_2013-07-25_final
2013-07-25 11:42:49	ga_ls8c_ard_3-0-0_113080_2013-07-25_final
2013-07-25 11:43:13	ga_ls8c_ard_3-0-0_113081_2013-07-25_final
2013-07-25 11:43:37	ga_ls8c_ard_3-0-0_113082_2013-07-25_final
2013-07-25 11:44:01	ga_ls8c_ard_3-0-0_113083_2013-07-25_final
2015-05-05 11:34:37	ga_ls8c_ard_3-0-0_112082_2015-05-05_final
2015-05-05 11:35:01	ga_ls8c_ard_3-0-0_112083_2015-05-05_final
2015-05-05 11:35:25	ga_ls8c_ard_3-0-0_112084_2015-05-05_final
2015-08-07 11:44:15	ga_ls8c_ard_3-0-0_114074_2015-08-07_final
2015-08-07 11:44:39	ga_ls8c_ard_3-0-0_114075_2015-08-07_final
2015-08-07 11:45:03	ga_ls8c_ard_3-0-0_114076_2015-08-07_final
2015-08-07 11:45:27	ga_ls8c_ard_3-0-0_114077_2015-08-07_final
2015-08-07 11:45:51	ga_ls8c_ard_3-0-0_114078_2015-08-07_final
2015-08-07 11:46:15	ga_ls8c_ard_3-0-0_114079_2015-08-07_final
2015-08-09 11:35:06	ga_ls8c_ard_3-0-0_112082_2015-08-09_final
2015-08-09 11:35:30	ga_ls8c_ard_3-0-0_112083_2015-08-09_final
2015-08-09 11:35:54	ga_ls8c_ard_3-0-0_112084_2015-08-09_final
2015-08-09 11:36:18	ga_ls8c_ard_3-0-0_112085_2015-08-09_final
2017-04-13 11:49:53	ga_ls8c_ard_3-0-0_115073_2017-04-13_final
2017-04-13 11:50:17	ga_ls8c_ard_3-0-0_115074_2017-04-13_final
2017-04-15 11:39:30	ga_ls8c_ard_3-0-0_113078_2017-04-15_final
2017-04-15 11:39:54	ga_ls8c_ard_3-0-0_113079_2017-04-15_final
2017-04-15 11:40:18	ga_ls8c_ard_3-0-0_113080_2017-04-15_final
2017-04-15 11:40:42	ga_ls8c_ard_3-0-0_113081_2017-04-15_final
2017-04-15 11:41:06	ga_ls8c_ard_3-0-0_113082_2017-04-15_final
2017-04-15 11:41:30	ga_ls8c_ard_3-0-0_113083_2017-04-15_final
2017-04-29 11:49:42	ga_ls8c_ard_3-0-0_115073_2017-04-29_final
2017-04-29 11:50:06	ga_ls8c_ard_3-0-0_115074_2017-04-29_final
2017-05-01 11:39:19	ga_ls8c_ard_3-0-0_113078_2017-05-01_final
2017-05-01 11:39:43	ga_ls8c_ard_3-0-0_113079_2017-05-01_final
2017-05-01 11:40:07	ga_ls8c_ard_3-0-0_113080_2017-05-01_final
2017-05-01 11:40:31	ga_ls8c_ard_3-0-0_113081_2017-05-01_final
2017-05-01 11:40:55	ga_ls8c_ard_3-0-0_113082_2017-05-01_final
2017-05-01 11:41:19	ga_ls8c_ard_3-0-0_113083_2017-05-01_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
2018-12-21 11:44:30	ga_ls8c_ard_3-0-0_114074_2018-12-21_final
2018-12-21 11:44:54	ga_ls8c_ard_3-0-0_114075_2018-12-21_final
2018-12-21 11:45:18	ga_ls8c_ard_3-0-0_114076_2018-12-21_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
2021-04-26 11:39:38	ga_ls8c_ard_3-2-0_113078_2021-04-26_final
2021-04-26 11:40:02	ga_ls8c_ard_3-2-0_113079_2021-04-26_final
2021-04-26 11:40:26	ga_ls8c_ard_3-2-0_113080_2021-04-26_final
2021-04-26 11:40:50	ga_ls8c_ard_3-2-0_113081_2021-04-26_final
2021-04-26 11:41:14	ga_ls8c_ard_3-2-0_113082_2021-04-26_final
2021-04-26 11:41:38	ga_ls8c_ard_3-2-0_113083_2021-04-26_final
2021-05-12 11:39:35	ga_ls8c_ard_3-2-0_113078_2021-05-12_final
2021-05-12 11:39:59	ga_ls8c_ard_3-2-0_113079_2021-05-12_final
2021-05-12 11:40:23	ga_ls8c_ard_3-2-0_113080_2021-05-12_final
2021-05-12 11:40:47	ga_ls8c_ard_3-2-0_113081_2021-05-12_final
2021-05-12 11:41:11	ga_ls8c_ard_3-2-0_113082_2021-05-12_final
2021-05-12 11:41:35	ga_ls8c_ard_3-2-0_113083_2021-05-12_final
2021-05-26 11:50:06	ga_ls8c_ard_3-2-0_115073_2021-05-26_final
2021-05-26 11:50:30	ga_ls8c_ard_3-2-0_115074_2021-05-26_final
2021-05-28 11:39:45	ga_ls8c_ard_3-2-0_113078_2021-05-28_final
2021-05-28 11:40:09	ga_ls8c_ard_3-2-0_113079_2021-05-28_final
2021-05-28 11:40:33	ga_ls8c_ard_3-2-0_113080_2021-05-28_final
2021-05-28 11:40:57	ga_ls8c_ard_3-2-0_113081_2021-05-28_final
2021-05-28 11:41:21	ga_ls8c_ard_3-2-0_113082_2021-05-28_final
2021-05-28 11:41:45	ga_ls8c_ard_3-2-0_113083_2021-05-28_final
2021-05-30 11:30:12	ga_ls8c_ard_3-2-0_111085_2021-05-30_final
2021-07-01 11:30:22	ga_ls8c_ard_3-2-0_111085_2021-07-01_final
2021-10-19 11:40:28	ga_ls8c_ard_3-2-0_113078_2021-10-19_final
2021-10-19 11:40:52	ga_ls8c_ard_3-2-0_113079_2021-10-19_final
2021-10-19 11:41:16	ga_ls8c_ard_3-2-0_113080_2021-10-19_final
2021-10-19 11:41:40	ga_ls8c_ard_3-2-0_113081_2021-10-19_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