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
2015-10-18 10:56:24	ga_ls8c_ard_3-0-0_106077_2015-10-18_final
2015-10-18 10:56:48	ga_ls8c_ard_3-0-0_106078_2015-10-18_final
2015-10-18 10:57:12	ga_ls8c_ard_3-0-0_106079_2015-10-18_final
2015-10-18 10:57:36	ga_ls8c_ard_3-0-0_106080_2015-10-18_final
2015-10-18 10:58:00	ga_ls8c_ard_3-0-0_106081_2015-10-18_final
2015-10-18 10:58:24	ga_ls8c_ard_3-0-0_106082_2015-10-18_final
2015-10-18 10:58:48	ga_ls8c_ard_3-0-0_106083_2015-10-18_final
2015-11-24 11:11:05	ga_ls8c_ard_3-0-0_109067_2015-11-24_final
2015-11-24 11:11:29	ga_ls8c_ard_3-0-0_109068_2015-11-24_final
2015-11-24 11:11:53	ga_ls8c_ard_3-0-0_109069_2015-11-24_final
2015-12-10 11:11:03	ga_ls8c_ard_3-0-0_109067_2015-12-10_final
2015-12-10 11:11:27	ga_ls8c_ard_3-0-0_109068_2015-12-10_final
2015-12-10 11:11:50	ga_ls8c_ard_3-0-0_109069_2015-12-10_final
2015-12-26 11:11:04	ga_ls8c_ard_3-0-0_109067_2015-12-26_final
2015-12-26 11:11:28	ga_ls8c_ard_3-0-0_109068_2015-12-26_final
2015-12-26 11:11:52	ga_ls8c_ard_3-0-0_109069_2015-12-26_final
2016-01-20 11:05:14	ga_ls8c_ard_3-0-0_108068_2016-01-20_final
2016-01-20 11:05:38	ga_ls8c_ard_3-0-0_108069_2016-01-20_final
2016-01-20 11:06:02	ga_ls8c_ard_3-0-0_108070_2016-01-20_final
2016-01-20 11:06:26	ga_ls8c_ard_3-0-0_108071_2016-01-20_final
2016-01-20 11:06:50	ga_ls8c_ard_3-0-0_108072_2016-01-20_final
2016-01-20 11:07:14	ga_ls8c_ard_3-0-0_108073_2016-01-20_final
2016-01-20 11:07:38	ga_ls8c_ard_3-0-0_108074_2016-01-20_final
2016-02-05 11:05:11	ga_ls8c_ard_3-0-0_108068_2016-02-05_final
2016-02-05 11:05:35	ga_ls8c_ard_3-0-0_108069_2016-02-05_final
2016-02-05 11:05:59	ga_ls8c_ard_3-0-0_108070_2016-02-05_final
2016-02-05 11:06:23	ga_ls8c_ard_3-0-0_108071_2016-02-05_final
2016-02-05 11:06:46	ga_ls8c_ard_3-0-0_108072_2016-02-05_final
2016-02-05 11:07:10	ga_ls8c_ard_3-0-0_108073_2016-02-05_final
2016-02-05 11:07:34	ga_ls8c_ard_3-0-0_108074_2016-02-05_final
2016-03-08 11:05:02	ga_ls8c_ard_3-0-0_108068_2016-03-08_final
2016-03-08 11:05:25	ga_ls8c_ard_3-0-0_108069_2016-03-08_final
2016-03-08 11:05:49	ga_ls8c_ard_3-0-0_108070_2016-03-08_final
2016-03-08 11:06:13	ga_ls8c_ard_3-0-0_108071_2016-03-08_final
2016-03-08 11:06:37	ga_ls8c_ard_3-0-0_108072_2016-03-08_final
2016-03-08 11:07:01	ga_ls8c_ard_3-0-0_108073_2016-03-08_final
2016-03-08 11:07:25	ga_ls8c_ard_3-0-0_108074_2016-03-08_final
2016-03-24 11:04:54	ga_ls8c_ard_3-0-0_108068_2016-03-24_final
2016-03-24 11:05:18	ga_ls8c_ard_3-0-0_108069_2016-03-24_final
2016-03-24 11:05:42	ga_ls8c_ard_3-0-0_108070_2016-03-24_final
2016-03-24 11:06:06	ga_ls8c_ard_3-0-0_108071_2016-03-24_final
2016-03-24 11:06:29	ga_ls8c_ard_3-0-0_108072_2016-03-24_final
2016-03-24 11:06:53	ga_ls8c_ard_3-0-0_108073_2016-03-24_final
2016-03-24 11:07:17	ga_ls8c_ard_3-0-0_108074_2016-03-24_final
2016-04-25 11:04:39	ga_ls8c_ard_3-0-0_108068_2016-04-25_final
2016-04-25 11:05:03	ga_ls8c_ard_3-0-0_108069_2016-04-25_final
2016-04-25 11:05:27	ga_ls8c_ard_3-0-0_108070_2016-04-25_final
2016-04-25 11:05:51	ga_ls8c_ard_3-0-0_108071_2016-04-25_final
2016-04-25 11:06:15	ga_ls8c_ard_3-0-0_108072_2016-04-25_final
2016-04-25 11:06:39	ga_ls8c_ard_3-0-0_108073_2016-04-25_final
2016-04-25 11:07:03	ga_ls8c_ard_3-0-0_108074_2016-04-25_final
2016-04-27 10:55:55	ga_ls8c_ard_3-0-0_106077_2016-04-27_final
2016-04-27 10:56:19	ga_ls8c_ard_3-0-0_106078_2016-04-27_final
2016-04-27 10:56:43	ga_ls8c_ard_3-0-0_106079_2016-04-27_final
2016-04-27 10:57:07	ga_ls8c_ard_3-0-0_106080_2016-04-27_final
2016-04-27 10:57:31	ga_ls8c_ard_3-0-0_106081_2016-04-27_final
2016-04-27 10:57:55	ga_ls8c_ard_3-0-0_106082_2016-04-27_final
2016-04-27 10:58:19	ga_ls8c_ard_3-0-0_106083_2016-04-27_final
2016-12-28 11:11:10	ga_ls8c_ard_3-0-0_109067_2016-12-28_final
2016-12-28 11:11:34	ga_ls8c_ard_3-0-0_109068_2016-12-28_final
2016-12-28 11:11:58	ga_ls8c_ard_3-0-0_109069_2016-12-28_final
2017-01-08 10:56:34	ga_ls8c_ard_3-0-0_106077_2017-01-08_final
2017-01-08 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-01-08_final
2017-01-08 10:57:22	ga_ls8c_ard_3-0-0_106079_2017-01-08_final
2017-01-08 10:57:46	ga_ls8c_ard_3-0-0_106080_2017-01-08_final
2017-01-24 10:56:29	ga_ls8c_ard_3-0-0_106077_2017-01-24_final
2017-01-24 10:56:53	ga_ls8c_ard_3-0-0_106078_2017-01-24_final
2017-01-24 10:57:17	ga_ls8c_ard_3-0-0_106079_2017-01-24_final
2017-01-24 10:57:41	ga_ls8c_ard_3-0-0_106080_2017-01-24_final
2017-01-24 10:58:05	ga_ls8c_ard_3-0-0_106081_2017-01-24_final
2017-01-24 10:58:29	ga_ls8c_ard_3-0-0_106082_2017-01-24_final
2017-01-24 10:58:53	ga_ls8c_ard_3-0-0_106083_2017-01-24_final
2017-02-14 11:10:52	ga_ls8c_ard_3-0-0_109067_2017-02-14_final
2017-02-14 11:11:16	ga_ls8c_ard_3-0-0_109068_2017-02-14_final
2017-02-14 11:11:40	ga_ls8c_ard_3-0-0_109069_2017-02-14_final
2017-03-02 11:10:47	ga_ls8c_ard_3-0-0_109067_2017-03-02_final
2017-03-02 11:11:11	ga_ls8c_ard_3-0-0_109068_2017-03-02_final
2017-03-02 11:11:35	ga_ls8c_ard_3-0-0_109069_2017-03-02_final
2017-05-05 11:10:14	ga_ls8c_ard_3-0-0_109067_2017-05-05_final
2017-05-05 11:10:38	ga_ls8c_ard_3-0-0_109068_2017-05-05_final
2017-05-05 11:11:02	ga_ls8c_ard_3-0-0_109069_2017-05-05_final
2017-07-08 11:10:44	ga_ls8c_ard_3-0-0_109067_2017-07-08_final
2017-07-08 11:11:08	ga_ls8c_ard_3-0-0_109068_2017-07-08_final
2017-07-08 11:11:32	ga_ls8c_ard_3-0-0_109069_2017-07-08_final
2018-09-17 10:51:26	ga_ls8c_ard_3-0-0_105081_2018-09-17_final
2018-09-17 10:51:49	ga_ls8c_ard_3-0-0_105082_2018-09-17_final
2018-09-17 10:52:13	ga_ls8c_ard_3-0-0_105083_2018-09-17_final
2019-01-07 10:51:39	ga_ls8c_ard_3-0-0_105081_2019-01-07_final
2019-01-07 10:52:03	ga_ls8c_ard_3-0-0_105082_2019-01-07_final
2019-01-07 10:52:27	ga_ls8c_ard_3-0-0_105083_2019-01-07_final
2022-01-27 11:11:52	ga_ls8c_ard_3-2-1_109069_2022-01-27_final
2023-06-23 11:11:12	ga_ls8c_ard_3-2-1_109069_2023-06-23_final
2023-06-25 11:00:29	ga_ls8c_ard_3-2-1_107073_2023-06-25_final
2023-06-25 11:00:53	ga_ls8c_ard_3-2-1_107074_2023-06-25_final
2023-06-25 11:01:16	ga_ls8c_ard_3-2-1_107075_2023-06-25_final
2023-06-25 11:01:40	ga_ls8c_ard_3-2-1_107076_2023-06-25_final
2023-06-25 11:02:04	ga_ls8c_ard_3-2-1_107077_2023-06-25_final
2023-06-25 11:02:28	ga_ls8c_ard_3-2-1_107078_2023-06-25_final
2023-06-27 10:51:21	ga_ls8c_ard_3-2-1_105081_2023-06-27_final
2023-06-27 10:51:45	ga_ls8c_ard_3-2-1_105082_2023-06-27_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