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
2014-10-11 11:17:19	ga_ls8c_ard_3-0-0_110067_2014-10-11_final
2014-12-14 11:17:12	ga_ls8c_ard_3-0-0_110067_2014-12-14_final
2014-12-16 11:06:27	ga_ls8c_ard_3-0-0_108071_2014-12-16_final
2014-12-16 11:06:51	ga_ls8c_ard_3-0-0_108072_2014-12-16_final
2014-12-16 11:07:15	ga_ls8c_ard_3-0-0_108073_2014-12-16_final
2014-12-16 11:07:39	ga_ls8c_ard_3-0-0_108074_2014-12-16_final
2014-12-16 11:08:03	ga_ls8c_ard_3-0-0_108075_2014-12-16_final
2014-12-16 11:08:27	ga_ls8c_ard_3-0-0_108076_2014-12-16_final
2014-12-18 10:57:42	ga_ls8c_ard_3-0-0_106080_2014-12-18_final
2014-12-18 10:58:06	ga_ls8c_ard_3-0-0_106081_2014-12-18_final
2014-12-18 10:58:30	ga_ls8c_ard_3-0-0_106082_2014-12-18_final
2014-12-18 10:58:54	ga_ls8c_ard_3-0-0_106083_2014-12-18_final
2015-01-31 11:17:04	ga_ls8c_ard_3-0-0_110067_2015-01-31_final
2015-02-02 11:06:18	ga_ls8c_ard_3-0-0_108071_2015-02-02_final
2015-02-02 11:06:42	ga_ls8c_ard_3-0-0_108072_2015-02-02_final
2015-02-02 11:07:05	ga_ls8c_ard_3-0-0_108073_2015-02-02_final
2015-02-02 11:07:29	ga_ls8c_ard_3-0-0_108074_2015-02-02_final
2015-02-02 11:07:53	ga_ls8c_ard_3-0-0_108075_2015-02-02_final
2015-02-02 11:08:17	ga_ls8c_ard_3-0-0_108076_2015-02-02_final
2015-02-27 11:01:33	ga_ls8c_ard_3-0-0_107075_2015-02-27_final
2015-02-27 11:01:57	ga_ls8c_ard_3-0-0_107076_2015-02-27_final
2015-02-27 11:02:21	ga_ls8c_ard_3-0-0_107077_2015-02-27_final
2015-02-27 11:02:45	ga_ls8c_ard_3-0-0_107078_2015-02-27_final
2015-02-27 11:03:09	ga_ls8c_ard_3-0-0_107079_2015-02-27_final
2015-02-27 11:03:33	ga_ls8c_ard_3-0-0_107080_2015-02-27_final
2015-02-27 11:03:57	ga_ls8c_ard_3-0-0_107081_2015-02-27_final
2015-04-21 11:16:29	ga_ls8c_ard_3-0-0_110067_2015-04-21_final
2015-04-23 11:05:42	ga_ls8c_ard_3-0-0_108071_2015-04-23_final
2015-04-23 11:06:06	ga_ls8c_ard_3-0-0_108072_2015-04-23_final
2015-04-23 11:06:29	ga_ls8c_ard_3-0-0_108073_2015-04-23_final
2015-04-23 11:06:53	ga_ls8c_ard_3-0-0_108074_2015-04-23_final
2015-04-23 11:07:17	ga_ls8c_ard_3-0-0_108075_2015-04-23_final
2015-04-23 11:07:41	ga_ls8c_ard_3-0-0_108076_2015-04-23_final
2015-06-17 11:10:14	ga_ls8c_ard_3-0-0_109067_2015-06-17_final
2015-06-17 11:10:38	ga_ls8c_ard_3-0-0_109068_2015-06-17_final
2015-06-17 11:11:02	ga_ls8c_ard_3-0-0_109069_2015-06-17_final
2015-06-17 11:11:26	ga_ls8c_ard_3-0-0_109070_2015-06-17_final
2015-06-17 11:11:49	ga_ls8c_ard_3-0-0_109071_2015-06-17_final
2015-06-17 11:12:13	ga_ls8c_ard_3-0-0_109072_2015-06-17_final
2015-06-19 11:01:04	ga_ls8c_ard_3-0-0_107075_2015-06-19_final
2015-06-19 11:01:28	ga_ls8c_ard_3-0-0_107076_2015-06-19_final
2015-06-19 11:01:52	ga_ls8c_ard_3-0-0_107077_2015-06-19_final
2015-06-19 11:02:16	ga_ls8c_ard_3-0-0_107078_2015-06-19_final
2015-06-19 11:02:40	ga_ls8c_ard_3-0-0_107079_2015-06-19_final
2015-06-19 11:03:04	ga_ls8c_ard_3-0-0_107080_2015-06-19_final
2015-06-19 11:03:28	ga_ls8c_ard_3-0-0_107081_2015-06-19_final
2021-01-01 11:06:38	ga_ls8c_ard_3-2-0_108071_2021-01-01_final
2021-01-01 11:07:02	ga_ls8c_ard_3-2-0_108072_2021-01-01_final
2021-01-01 11:07:25	ga_ls8c_ard_3-2-0_108073_2021-01-01_final
2021-01-01 11:07:49	ga_ls8c_ard_3-2-0_108074_2021-01-01_final
2021-01-01 11:08:13	ga_ls8c_ard_3-2-0_108075_2021-01-01_final
2021-01-01 11:08:37	ga_ls8c_ard_3-2-0_108076_2021-01-01_final
2021-01-31 11:17:15	ga_ls8c_ard_3-2-0_110067_2021-01-31_final
2021-02-02 11:06:28	ga_ls8c_ard_3-2-0_108071_2021-02-02_final
2021-02-02 11:06:52	ga_ls8c_ard_3-2-0_108072_2021-02-02_final
2021-02-02 11:07:16	ga_ls8c_ard_3-2-0_108073_2021-02-02_final
2021-02-02 11:07:40	ga_ls8c_ard_3-2-0_108074_2021-02-02_final
2021-02-02 11:08:04	ga_ls8c_ard_3-2-0_108075_2021-02-02_final
2021-02-02 11:08:28	ga_ls8c_ard_3-2-0_108076_2021-02-02_final
2021-05-04 10:52:06	ga_ls8c_ard_3-2-0_105083_2021-05-04_final
2021-05-16 11:10:32	ga_ls8c_ard_3-2-0_109067_2021-05-16_final
2021-05-16 11:10:56	ga_ls8c_ard_3-2-0_109068_2021-05-16_final
2021-05-16 11:11:19	ga_ls8c_ard_3-2-0_109069_2021-05-16_final
2021-05-16 11:11:43	ga_ls8c_ard_3-2-0_109070_2021-05-16_final
2021-05-16 11:12:07	ga_ls8c_ard_3-2-0_109071_2021-05-16_final
2021-05-16 11:12:31	ga_ls8c_ard_3-2-0_109072_2021-05-16_final
2021-05-18 11:01:23	ga_ls8c_ard_3-2-0_107075_2021-05-18_final
2021-05-18 11:01:47	ga_ls8c_ard_3-2-0_107076_2021-05-18_final
2021-05-18 11:02:11	ga_ls8c_ard_3-2-0_107077_2021-05-18_final
2021-05-18 11:02:35	ga_ls8c_ard_3-2-0_107078_2021-05-18_final
2021-05-18 11:02:58	ga_ls8c_ard_3-2-0_107079_2021-05-18_final
2021-05-18 11:03:22	ga_ls8c_ard_3-2-0_107080_2021-05-18_final
2021-05-18 11:03:46	ga_ls8c_ard_3-2-0_107081_2021-05-18_final
2021-05-20 10:52:14	ga_ls8c_ard_3-2-0_105083_2021-05-20_final
2021-05-23 11:16:47	ga_ls8c_ard_3-2-0_110067_2021-05-23_final
2021-05-25 11:06:02	ga_ls8c_ard_3-2-0_108071_2021-05-25_final
2021-05-25 11:06:26	ga_ls8c_ard_3-2-0_108072_2021-05-25_final
2021-05-25 11:06:50	ga_ls8c_ard_3-2-0_108073_2021-05-25_final
2021-05-25 11:07:14	ga_ls8c_ard_3-2-0_108074_2021-05-25_final
2021-05-25 11:07:38	ga_ls8c_ard_3-2-0_108075_2021-05-25_final
2021-05-25 11:08:02	ga_ls8c_ard_3-2-0_108076_2021-05-25_final
2021-05-27 10:56:53	ga_ls8c_ard_3-2-0_106079_2021-05-27_final
2021-05-27 10:57:17	ga_ls8c_ard_3-2-0_106080_2021-05-27_final
2021-05-27 10:57:41	ga_ls8c_ard_3-2-0_106081_2021-05-27_final
2021-05-27 10:58:05	ga_ls8c_ard_3-2-0_106082_2021-05-27_final
2021-05-27 10:58:29	ga_ls8c_ard_3-2-0_106083_2021-05-27_final
2021-05-27 10:58:53	ga_ls8c_ard_3-2-0_106084_2021-05-27_final
2021-06-01 11:11:52	ga_ls8c_ard_3-2-0_109070_2021-06-01_final
2021-06-01 11:12:16	ga_ls8c_ard_3-2-0_109071_2021-06-01_final
2021-06-01 11:12:40	ga_ls8c_ard_3-2-0_109072_2021-06-01_final
2021-07-12 11:06:15	ga_ls8c_ard_3-2-0_108071_2021-07-12_final
2021-07-12 11:06:39	ga_ls8c_ard_3-2-0_108072_2021-07-12_final
2021-07-12 11:07:03	ga_ls8c_ard_3-2-0_108073_2021-07-12_final
2021-07-12 11:07:27	ga_ls8c_ard_3-2-0_108074_2021-07-12_final
2021-07-12 11:07:51	ga_ls8c_ard_3-2-0_108075_2021-07-12_final
2021-07-12 11:08:15	ga_ls8c_ard_3-2-0_108076_2021-07-12_final
2021-07-14 10:57:29	ga_ls8c_ard_3-2-0_106080_2021-07-14_final
2021-07-14 10:57:53	ga_ls8c_ard_3-2-0_106081_2021-07-14_final
2021-07-14 10:58:17	ga_ls8c_ard_3-2-0_106082_2021-07-14_final
2021-07-14 10:58:41	ga_ls8c_ard_3-2-0_106083_2021-07-14_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