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
2013-04-29 11:32:26	ga_ls8c_ard_3-0-0_112070_2013-04-29_final
2013-04-29 11:33:38	ga_ls8c_ard_3-0-0_112073_2013-04-29_final
2013-04-29 11:34:02	ga_ls8c_ard_3-0-0_112074_2013-04-29_final
2013-04-29 11:34:26	ga_ls8c_ard_3-0-0_112075_2013-04-29_final
2013-04-29 11:34:50	ga_ls8c_ard_3-0-0_112076_2013-04-29_final
2014-07-28 11:35:34	ga_ls8c_ard_3-0-0_113067_2014-07-28_final
2014-07-30 11:26:26	ga_ls8c_ard_3-0-0_111075_2014-07-30_final
2014-07-30 11:26:50	ga_ls8c_ard_3-0-0_111076_2014-07-30_final
2014-07-30 11:27:14	ga_ls8c_ard_3-0-0_111077_2014-07-30_final
2014-07-30 11:27:38	ga_ls8c_ard_3-0-0_111078_2014-07-30_final
2014-07-30 11:28:01	ga_ls8c_ard_3-0-0_111079_2014-07-30_final
2014-07-30 11:28:25	ga_ls8c_ard_3-0-0_111080_2014-07-30_final
2014-08-01 11:17:17	ga_ls8c_ard_3-0-0_109083_2014-08-01_final
2014-08-01 11:17:41	ga_ls8c_ard_3-0-0_109084_2014-08-01_final
2014-08-17 11:17:23	ga_ls8c_ard_3-0-0_109083_2014-08-17_final
2014-08-17 11:17:47	ga_ls8c_ard_3-0-0_109084_2014-08-17_final
2014-08-22 11:30:45	ga_ls8c_ard_3-0-0_112070_2014-08-22_final
2014-08-22 11:31:09	ga_ls8c_ard_3-0-0_112071_2014-08-22_final
2014-08-22 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-08-22_final
2014-08-22 11:31:57	ga_ls8c_ard_3-0-0_112073_2014-08-22_final
2014-08-22 11:32:21	ga_ls8c_ard_3-0-0_112074_2014-08-22_final
2014-08-22 11:32:45	ga_ls8c_ard_3-0-0_112075_2014-08-22_final
2014-08-22 11:33:08	ga_ls8c_ard_3-0-0_112076_2014-08-22_final
2014-08-24 11:21:59	ga_ls8c_ard_3-0-0_110079_2014-08-24_final
2014-08-24 11:22:23	ga_ls8c_ard_3-0-0_110080_2014-08-24_final
2014-08-24 11:22:47	ga_ls8c_ard_3-0-0_110081_2014-08-24_final
2014-08-24 11:23:11	ga_ls8c_ard_3-0-0_110082_2014-08-24_final
2014-08-24 11:23:35	ga_ls8c_ard_3-0-0_110083_2014-08-24_final
2014-08-24 11:23:58	ga_ls8c_ard_3-0-0_110084_2014-08-24_final
2014-09-16 11:26:37	ga_ls8c_ard_3-0-0_111075_2014-09-16_final
2014-09-16 11:27:01	ga_ls8c_ard_3-0-0_111076_2014-09-16_final
2014-09-16 11:27:25	ga_ls8c_ard_3-0-0_111077_2014-09-16_final
2014-09-16 11:27:49	ga_ls8c_ard_3-0-0_111078_2014-09-16_final
2014-09-16 11:28:13	ga_ls8c_ard_3-0-0_111079_2014-09-16_final
2014-09-16 11:28:37	ga_ls8c_ard_3-0-0_111080_2014-09-16_final
2014-09-18 11:17:27	ga_ls8c_ard_3-0-0_109083_2014-09-18_final
2014-09-18 11:17:51	ga_ls8c_ard_3-0-0_109084_2014-09-18_final
2014-10-02 11:26:39	ga_ls8c_ard_3-0-0_111075_2014-10-02_final
2014-10-02 11:27:03	ga_ls8c_ard_3-0-0_111076_2014-10-02_final
2014-10-02 11:27:27	ga_ls8c_ard_3-0-0_111077_2014-10-02_final
2014-10-02 11:27:51	ga_ls8c_ard_3-0-0_111078_2014-10-02_final
2014-10-02 11:28:15	ga_ls8c_ard_3-0-0_111079_2014-10-02_final
2014-10-02 11:28:39	ga_ls8c_ard_3-0-0_111080_2014-10-02_final
2014-10-04 11:17:30	ga_ls8c_ard_3-0-0_109083_2014-10-04_final
2014-10-04 11:17:54	ga_ls8c_ard_3-0-0_109084_2014-10-04_final
2014-10-16 11:35:53	ga_ls8c_ard_3-0-0_113067_2014-10-16_final
2014-10-20 11:17:33	ga_ls8c_ard_3-0-0_109083_2014-10-20_final
2014-10-20 11:17:57	ga_ls8c_ard_3-0-0_109084_2014-10-20_final
2014-10-27 11:22:06	ga_ls8c_ard_3-0-0_110079_2014-10-27_final
2014-10-27 11:22:29	ga_ls8c_ard_3-0-0_110080_2014-10-27_final
2014-10-27 11:22:53	ga_ls8c_ard_3-0-0_110081_2014-10-27_final
2014-10-27 11:23:17	ga_ls8c_ard_3-0-0_110082_2014-10-27_final
2014-10-27 11:23:41	ga_ls8c_ard_3-0-0_110083_2014-10-27_final
2014-10-27 11:24:05	ga_ls8c_ard_3-0-0_110084_2014-10-27_final
2014-11-10 11:30:54	ga_ls8c_ard_3-0-0_112070_2014-11-10_final
2014-11-10 11:31:18	ga_ls8c_ard_3-0-0_112071_2014-11-10_final
2014-11-10 11:31:42	ga_ls8c_ard_3-0-0_112072_2014-11-10_final
2014-11-10 11:32:06	ga_ls8c_ard_3-0-0_112073_2014-11-10_final
2014-11-10 11:32:30	ga_ls8c_ard_3-0-0_112074_2014-11-10_final
2014-11-10 11:32:54	ga_ls8c_ard_3-0-0_112075_2014-11-10_final
2014-11-10 11:33:18	ga_ls8c_ard_3-0-0_112076_2014-11-10_final
2014-11-12 11:22:08	ga_ls8c_ard_3-0-0_110079_2014-11-12_final
2014-11-12 11:22:32	ga_ls8c_ard_3-0-0_110080_2014-11-12_final
2014-11-12 11:22:56	ga_ls8c_ard_3-0-0_110081_2014-11-12_final
2014-11-12 11:23:20	ga_ls8c_ard_3-0-0_110082_2014-11-12_final
2014-11-12 11:23:44	ga_ls8c_ard_3-0-0_110083_2014-11-12_final
2014-11-12 11:24:08	ga_ls8c_ard_3-0-0_110084_2014-11-12_final
2015-09-01 11:35:28	ga_ls8c_ard_3-0-0_113067_2015-09-01_final
2015-09-17 11:35:36	ga_ls8c_ard_3-0-0_113067_2015-09-17_final
2015-11-20 11:35:48	ga_ls8c_ard_3-0-0_113067_2015-11-20_final
2015-11-29 11:30:49	ga_ls8c_ard_3-0-0_112070_2015-11-29_final
2015-11-29 11:31:13	ga_ls8c_ard_3-0-0_112071_2015-11-29_final
2015-11-29 11:31:37	ga_ls8c_ard_3-0-0_112072_2015-11-29_final
2015-11-29 11:32:01	ga_ls8c_ard_3-0-0_112073_2015-11-29_final
2015-11-29 11:32:25	ga_ls8c_ard_3-0-0_112074_2015-11-29_final
2015-11-29 11:32:49	ga_ls8c_ard_3-0-0_112075_2015-11-29_final
2015-11-29 11:33:13	ga_ls8c_ard_3-0-0_112076_2015-11-29_final
2015-12-06 11:35:47	ga_ls8c_ard_3-0-0_113067_2015-12-06_final
2016-06-08 11:30:21	ga_ls8c_ard_3-0-0_112070_2016-06-08_final
2016-06-08 11:30:45	ga_ls8c_ard_3-0-0_112071_2016-06-08_final
2016-06-08 11:31:09	ga_ls8c_ard_3-0-0_112072_2016-06-08_final
2016-06-08 11:31:33	ga_ls8c_ard_3-0-0_112073_2016-06-08_final
2016-06-08 11:31:57	ga_ls8c_ard_3-0-0_112074_2016-06-08_final
2016-06-08 11:32:21	ga_ls8c_ard_3-0-0_112075_2016-06-08_final
2016-06-08 11:32:45	ga_ls8c_ard_3-0-0_112076_2016-06-08_final
2016-06-10 11:21:35	ga_ls8c_ard_3-0-0_110079_2016-06-10_final
2016-06-10 11:21:59	ga_ls8c_ard_3-0-0_110080_2016-06-10_final
2016-06-10 11:22:23	ga_ls8c_ard_3-0-0_110081_2016-06-10_final
2016-06-10 11:22:47	ga_ls8c_ard_3-0-0_110082_2016-06-10_final
2016-06-10 11:23:11	ga_ls8c_ard_3-0-0_110083_2016-06-10_final
2016-06-10 11:23:35	ga_ls8c_ard_3-0-0_110084_2016-06-10_final
2023-07-25 11:17:05	ga_ls8c_ard_3-2-1_109083_2023-07-25_final
2023-07-25 11:17:29	ga_ls8c_ard_3-2-1_109084_2023-07-25_final
2023-08-17 11:21:50	ga_ls8c_ard_3-2-1_110079_2023-08-17_final
2023-08-17 11:23:50	ga_ls8c_ard_3-2-1_110084_2023-08-17_final
2023-08-26 11:17:19	ga_ls8c_ard_3-2-1_109083_2023-08-26_final
2023-08-26 11:17:43	ga_ls8c_ard_3-2-1_109084_2023-08-26_final
2023-08-31 11:31:28	ga_ls8c_ard_3-2-1_112072_2023-08-31_final
2023-08-31 11:31:52	ga_ls8c_ard_3-2-1_112073_2023-08-31_final
2023-08-31 11:32:16	ga_ls8c_ard_3-2-1_112074_2023-08-31_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