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
2014-07-20 10:52:04	ga_ls8c_ard_3-0-0_105082_2014-07-20_final
2014-07-25 11:05:49	ga_ls8c_ard_3-0-0_108070_2014-07-25_final
2014-07-25 11:06:13	ga_ls8c_ard_3-0-0_108071_2014-07-25_final
2014-07-25 11:06:37	ga_ls8c_ard_3-0-0_108072_2014-07-25_final
2014-07-25 11:07:01	ga_ls8c_ard_3-0-0_108073_2014-07-25_final
2014-07-25 11:07:25	ga_ls8c_ard_3-0-0_108074_2014-07-25_final
2014-07-25 11:07:49	ga_ls8c_ard_3-0-0_108075_2014-07-25_final
2014-07-27 10:57:05	ga_ls8c_ard_3-0-0_106079_2014-07-27_final
2014-07-27 10:57:29	ga_ls8c_ard_3-0-0_106080_2014-07-27_final
2014-07-27 10:57:53	ga_ls8c_ard_3-0-0_106081_2014-07-27_final
2014-07-27 10:58:17	ga_ls8c_ard_3-0-0_106082_2014-07-27_final
2014-07-27 10:58:41	ga_ls8c_ard_3-0-0_106083_2014-07-27_final
2014-09-11 11:06:06	ga_ls8c_ard_3-0-0_108070_2014-09-11_final
2014-09-11 11:06:30	ga_ls8c_ard_3-0-0_108071_2014-09-11_final
2014-09-11 11:06:53	ga_ls8c_ard_3-0-0_108072_2014-09-11_final
2014-09-11 11:07:17	ga_ls8c_ard_3-0-0_108073_2014-09-11_final
2014-09-11 11:07:41	ga_ls8c_ard_3-0-0_108074_2014-09-11_final
2014-09-11 11:08:05	ga_ls8c_ard_3-0-0_108075_2014-09-11_final
2014-09-13 10:57:19	ga_ls8c_ard_3-0-0_106079_2014-09-13_final
2014-09-13 10:57:43	ga_ls8c_ard_3-0-0_106080_2014-09-13_final
2014-09-13 10:58:07	ga_ls8c_ard_3-0-0_106081_2014-09-13_final
2014-09-13 10:58:31	ga_ls8c_ard_3-0-0_106082_2014-09-13_final
2014-09-13 10:58:55	ga_ls8c_ard_3-0-0_106083_2014-09-13_final
2014-09-27 11:06:03	ga_ls8c_ard_3-0-0_108070_2014-09-27_final
2014-09-27 11:06:27	ga_ls8c_ard_3-0-0_108071_2014-09-27_final
2014-09-27 11:06:51	ga_ls8c_ard_3-0-0_108072_2014-09-27_final
2014-09-27 11:07:15	ga_ls8c_ard_3-0-0_108073_2014-09-27_final
2014-09-27 11:07:39	ga_ls8c_ard_3-0-0_108074_2014-09-27_final
2014-09-27 11:08:03	ga_ls8c_ard_3-0-0_108075_2014-09-27_final
2014-09-29 10:57:19	ga_ls8c_ard_3-0-0_106079_2014-09-29_final
2014-09-29 10:57:43	ga_ls8c_ard_3-0-0_106080_2014-09-29_final
2014-09-29 10:58:07	ga_ls8c_ard_3-0-0_106081_2014-09-29_final
2014-09-29 10:58:31	ga_ls8c_ard_3-0-0_106082_2014-09-29_final
2014-09-29 10:58:55	ga_ls8c_ard_3-0-0_106083_2014-09-29_final
2014-10-08 10:52:24	ga_ls8c_ard_3-0-0_105082_2014-10-08_final
2014-12-07 11:11:05	ga_ls8c_ard_3-0-0_109067_2014-12-07_final
2014-12-07 11:11:28	ga_ls8c_ard_3-0-0_109068_2014-12-07_final
2014-12-07 11:11:52	ga_ls8c_ard_3-0-0_109069_2014-12-07_final
2014-12-07 11:12:16	ga_ls8c_ard_3-0-0_109070_2014-12-07_final
2014-12-09 11:01:29	ga_ls8c_ard_3-0-0_107074_2014-12-09_final
2014-12-09 11:01:53	ga_ls8c_ard_3-0-0_107075_2014-12-09_final
2014-12-09 11:02:17	ga_ls8c_ard_3-0-0_107076_2014-12-09_final
2014-12-09 11:02:41	ga_ls8c_ard_3-0-0_107077_2014-12-09_final
2014-12-09 11:03:05	ga_ls8c_ard_3-0-0_107078_2014-12-09_final
2014-12-09 11:03:28	ga_ls8c_ard_3-0-0_107079_2014-12-09_final
2014-12-09 11:03:52	ga_ls8c_ard_3-0-0_107080_2014-12-09_final
2015-08-08 10:51:50	ga_ls8c_ard_3-0-0_105082_2015-08-08_final
2015-08-08 10:52:14	ga_ls8c_ard_3-0-0_105083_2015-08-08_final
2015-08-24 10:51:58	ga_ls8c_ard_3-0-0_105082_2015-08-24_final
2015-08-24 10:52:22	ga_ls8c_ard_3-0-0_105083_2015-08-24_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
2015-11-24 11:12:17	ga_ls8c_ard_3-0-0_109070_2015-11-24_final
2015-11-26 11:01:31	ga_ls8c_ard_3-0-0_107074_2015-11-26_final
2015-11-26 11:01:55	ga_ls8c_ard_3-0-0_107075_2015-11-26_final
2015-11-26 11:02:19	ga_ls8c_ard_3-1-0_107076_2015-11-26_final
2015-11-26 11:02:43	ga_ls8c_ard_3-0-0_107077_2015-11-26_final
2015-11-26 11:03:07	ga_ls8c_ard_3-0-0_107078_2015-11-26_final
2015-11-26 11:03:31	ga_ls8c_ard_3-0-0_107079_2015-11-26_final
2015-11-26 11:03:55	ga_ls8c_ard_3-0-0_107080_2015-11-26_final
2015-11-28 10:52:21	ga_ls8c_ard_3-0-0_105082_2015-11-28_final
2015-11-28 10:52:45	ga_ls8c_ard_3-0-0_105083_2015-11-28_final
2019-03-10 11:00:59	ga_ls8c_ard_3-1-0_107074_2019-03-10_final
2019-03-10 11:01:23	ga_ls8c_ard_3-1-0_107075_2019-03-10_final
2019-03-10 11:01:47	ga_ls8c_ard_3-1-0_107076_2019-03-10_final
2019-03-10 11:02:11	ga_ls8c_ard_3-1-0_107077_2019-03-10_final
2019-03-10 11:02:35	ga_ls8c_ard_3-1-0_107078_2019-03-10_final
2019-03-10 11:02:59	ga_ls8c_ard_3-1-0_107079_2019-03-10_final
2019-03-10 11:03:23	ga_ls8c_ard_3-1-0_107080_2019-03-10_final
2019-03-12 10:52:12	ga_ls8c_ard_3-1-0_105083_2019-03-12_final
2019-04-09 11:10:26	ga_ls8c_ard_3-1-0_109067_2019-04-09_final
2019-04-09 11:10:50	ga_ls8c_ard_3-1-0_109068_2019-04-09_final
2019-04-09 11:11:14	ga_ls8c_ard_3-1-0_109069_2019-04-09_final
2019-04-09 11:11:38	ga_ls8c_ard_3-1-0_109070_2019-04-09_final
2019-04-11 11:00:51	ga_ls8c_ard_3-1-0_107074_2019-04-11_final
2019-04-11 11:01:15	ga_ls8c_ard_3-1-0_107075_2019-04-11_final
2019-04-11 11:01:39	ga_ls8c_ard_3-1-0_107076_2019-04-11_final
2019-04-11 11:02:03	ga_ls8c_ard_3-1-0_107077_2019-04-11_final
2019-04-11 11:02:27	ga_ls8c_ard_3-1-0_107078_2019-04-11_final
2019-04-11 11:02:51	ga_ls8c_ard_3-1-0_107079_2019-04-11_final
2019-04-11 11:03:15	ga_ls8c_ard_3-1-0_107080_2019-04-11_final
2019-04-27 11:00:45	ga_ls8c_ard_3-0-0_107074_2019-04-27_final
2019-04-27 11:01:09	ga_ls8c_ard_3-0-0_107075_2019-04-27_final
2019-04-27 11:01:33	ga_ls8c_ard_3-0-0_107076_2019-04-27_final
2019-04-29 10:51:36	ga_ls8c_ard_3-0-0_105082_2019-04-29_final
2019-04-29 10:52:00	ga_ls8c_ard_3-0-0_105083_2019-04-29_final
2019-06-16 10:52:02	ga_ls8c_ard_3-1-0_105082_2019-06-16_final
2019-06-16 10:52:26	ga_ls8c_ard_3-1-0_105083_2019-06-16_final
2019-09-25 11:06:17	ga_ls8c_ard_3-1-0_108070_2019-09-25_final
2019-09-25 11:06:41	ga_ls8c_ard_3-1-0_108071_2019-09-25_final
2019-09-25 11:07:04	ga_ls8c_ard_3-1-0_108072_2019-09-25_final
2019-09-25 11:07:28	ga_ls8c_ard_3-1-0_108073_2019-09-25_final
2019-09-25 11:07:52	ga_ls8c_ard_3-1-0_108074_2019-09-25_final
2019-09-25 11:08:16	ga_ls8c_ard_3-1-0_108075_2019-09-25_final
2019-11-12 11:06:18	ga_ls8c_ard_3-1-0_108070_2019-11-12_final
2019-11-12 11:06:42	ga_ls8c_ard_3-1-0_108071_2019-11-12_final
2019-11-12 11:07:06	ga_ls8c_ard_3-1-0_108072_2019-11-12_final
2019-11-12 11:07:30	ga_ls8c_ard_3-1-0_108073_2019-11-12_final
2019-11-12 11:07:54	ga_ls8c_ard_3-1-0_108074_2019-11-12_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