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
2013-04-26 11:03:07	ga_ls8c_ard_3-0-0_107074_2013-04-26_final
2014-06-30 11:10:41	ga_ls8c_ard_3-0-0_109067_2014-06-30_final
2014-06-30 11:11:05	ga_ls8c_ard_3-0-0_109068_2014-06-30_final
2014-06-30 11:11:29	ga_ls8c_ard_3-0-0_109069_2014-06-30_final
2014-06-30 11:11:53	ga_ls8c_ard_3-0-0_109070_2014-06-30_final
2014-07-02 11:01:08	ga_ls8c_ard_3-0-0_107074_2014-07-02_final
2014-07-02 11:01:32	ga_ls8c_ard_3-0-0_107075_2014-07-02_final
2014-07-02 11:01:56	ga_ls8c_ard_3-0-0_107076_2014-07-02_final
2014-07-02 11:02:20	ga_ls8c_ard_3-0-0_107077_2014-07-02_final
2014-07-02 11:02:44	ga_ls8c_ard_3-0-0_107078_2014-07-02_final
2014-07-02 11:03:08	ga_ls8c_ard_3-0-0_107079_2014-07-02_final
2014-07-02 11:03:32	ga_ls8c_ard_3-0-0_107080_2014-07-02_final
2014-07-16 11:10:48	ga_ls8c_ard_3-0-0_109067_2014-07-16_final
2014-07-16 11:11:12	ga_ls8c_ard_3-0-0_109068_2014-07-16_final
2014-07-16 11:11:36	ga_ls8c_ard_3-0-0_109069_2014-07-16_final
2014-07-16 11:12:00	ga_ls8c_ard_3-0-0_109070_2014-07-16_final
2014-07-18 11:01:14	ga_ls8c_ard_3-0-0_107074_2014-07-18_final
2014-07-18 11:02:26	ga_ls8c_ard_3-0-0_107077_2014-07-18_final
2014-07-18 11:02:50	ga_ls8c_ard_3-0-0_107078_2014-07-18_final
2014-07-18 11:03:14	ga_ls8c_ard_3-0-0_107079_2014-07-18_final
2014-07-18 11:03:38	ga_ls8c_ard_3-0-0_107080_2014-07-18_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
2014-12-07 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
2023-02-01 11:01:45	ga_ls8c_ard_3-2-1_107074_2023-02-01_final
2023-02-01 11:02:09	ga_ls8c_ard_3-2-1_107075_2023-02-01_final
2023-02-01 11:02:33	ga_ls8c_ard_3-2-1_107076_2023-02-01_final
2023-02-01 11:02:57	ga_ls8c_ard_3-2-1_107077_2023-02-01_final
2023-02-01 11:03:21	ga_ls8c_ard_3-2-1_107078_2023-02-01_final
2023-02-01 11:03:45	ga_ls8c_ard_3-2-1_107079_2023-02-01_final
2023-02-01 11:04:08	ga_ls8c_ard_3-2-1_107080_2023-02-01_final
2023-02-03 10:52:35	ga_ls8c_ard_3-2-1_105082_2023-02-03_final
2023-02-03 10:52:59	ga_ls8c_ard_3-2-1_105083_2023-02-03_final
2023-03-19 11:11:39	ga_ls8c_ard_3-2-1_109069_2023-03-19_final
2023-03-19 11:12:03	ga_ls8c_ard_3-2-1_109070_2023-03-19_final
2023-03-21 11:01:15	ga_ls8c_ard_3-2-1_107074_2023-03-21_final
2023-03-21 11:01:39	ga_ls8c_ard_3-2-1_107075_2023-03-21_final
2023-03-21 11:02:03	ga_ls8c_ard_3-2-1_107076_2023-03-21_final
2023-03-21 11:02:27	ga_ls8c_ard_3-2-1_107077_2023-03-21_final
2023-03-21 11:02:50	ga_ls8c_ard_3-2-1_107078_2023-03-21_final
2023-03-21 11:03:14	ga_ls8c_ard_3-2-1_107079_2023-03-21_final
2023-03-21 11:03:38	ga_ls8c_ard_3-2-1_107080_2023-03-21_final
2023-03-23 10:52:26	ga_ls8c_ard_3-2-1_105083_2023-03-23_final
2023-05-15 11:05:13	ga_ls8c_ard_3-2-1_108070_2023-05-15_final
2023-05-15 11:05:37	ga_ls8c_ard_3-2-1_108071_2023-05-15_final
2023-05-15 11:06:01	ga_ls8c_ard_3-2-1_108072_2023-05-15_final
2023-05-15 11:06:25	ga_ls8c_ard_3-2-1_108073_2023-05-15_final
2023-05-15 11:06:49	ga_ls8c_ard_3-2-1_108074_2023-05-15_final
2023-05-15 11:07:13	ga_ls8c_ard_3-2-1_108075_2023-05-15_final
2023-05-17 10:56:26	ga_ls8c_ard_3-2-1_106079_2023-05-17_final
2023-05-17 10:56:50	ga_ls8c_ard_3-2-1_106080_2023-05-17_final
2023-05-17 10:57:14	ga_ls8c_ard_3-2-1_106081_2023-05-17_final
2023-05-17 10:57:38	ga_ls8c_ard_3-2-1_106082_2023-05-17_final
2023-05-17 10:58:02	ga_ls8c_ard_3-2-1_106083_2023-05-17_final
2023-05-22 11:11:01	ga_ls8c_ard_3-2-1_109069_2023-05-22_final
2023-05-22 11:11:25	ga_ls8c_ard_3-2-1_109070_2023-05-22_final
2023-05-24 11:00:40	ga_ls8c_ard_3-2-1_107074_2023-05-24_final
2023-05-24 11:01:04	ga_ls8c_ard_3-2-1_107075_2023-05-24_final
2023-05-24 11:01:28	ga_ls8c_ard_3-2-1_107076_2023-05-24_final
2023-05-24 11:01:52	ga_ls8c_ard_3-2-1_107077_2023-05-24_final
2023-05-24 11:02:16	ga_ls8c_ard_3-2-1_107078_2023-05-24_final
2023-05-24 11:02:40	ga_ls8c_ard_3-2-1_107079_2023-05-24_final
2023-05-24 11:03:04	ga_ls8c_ard_3-2-1_107080_2023-05-24_final
2023-05-26 10:51:30	ga_ls8c_ard_3-2-1_105082_2023-05-26_final
2023-05-26 10:51:54	ga_ls8c_ard_3-2-1_105083_2023-05-26_final
2023-05-31 11:05:15	ga_ls8c_ard_3-2-1_108070_2023-05-31_final
2023-05-31 11:05:39	ga_ls8c_ard_3-2-1_108071_2023-05-31_final
2023-05-31 11:06:03	ga_ls8c_ard_3-2-1_108072_2023-05-31_final
2023-05-31 11:06:27	ga_ls8c_ard_3-2-1_108073_2023-05-31_final
2023-05-31 11:06:51	ga_ls8c_ard_3-2-1_108074_2023-05-31_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years