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
2013-05-28 11:02:13	ga_ls8c_ard_3-0-0_107071_2013-05-28_final
2013-05-30 10:53:27	ga_ls8c_ard_3-0-0_105080_2013-05-30_final
2013-05-30 10:53:51	ga_ls8c_ard_3-0-0_105081_2013-05-30_final
2013-05-30 10:54:15	ga_ls8c_ard_3-0-0_105082_2013-05-30_final
2013-09-19 10:53:21	ga_ls8c_ard_3-0-0_105080_2013-09-19_final
2013-09-19 10:53:45	ga_ls8c_ard_3-0-0_105081_2013-09-19_final
2013-09-19 10:54:08	ga_ls8c_ard_3-0-0_105082_2013-09-19_final
2013-09-24 11:07:51	ga_ls8c_ard_3-0-0_108070_2013-09-24_final
2013-09-24 11:08:14	ga_ls8c_ard_3-0-0_108071_2013-09-24_final
2013-09-24 11:08:38	ga_ls8c_ard_3-0-0_108072_2013-09-24_final
2013-09-26 10:57:27	ga_ls8c_ard_3-0-0_106075_2013-09-26_final
2013-09-26 10:57:51	ga_ls8c_ard_3-0-0_106076_2013-09-26_final
2013-09-26 10:58:15	ga_ls8c_ard_3-0-0_106077_2013-09-26_final
2013-09-26 10:58:39	ga_ls8c_ard_3-0-0_106078_2013-09-26_final
2013-09-26 10:59:03	ga_ls8c_ard_3-0-0_106079_2013-09-26_final
2013-09-26 10:59:27	ga_ls8c_ard_3-0-0_106080_2013-09-26_final
2013-09-26 10:59:51	ga_ls8c_ard_3-0-0_106081_2013-09-26_final
2013-11-04 11:01:55	ga_ls8c_ard_3-0-0_107071_2013-11-04_final
2013-11-04 11:02:19	ga_ls8c_ard_3-0-0_107072_2013-11-04_final
2013-11-04 11:02:42	ga_ls8c_ard_3-0-0_107073_2013-11-04_final
2013-11-04 11:03:06	ga_ls8c_ard_3-0-0_107074_2013-11-04_final
2013-11-04 11:03:30	ga_ls8c_ard_3-0-0_107075_2013-11-04_final
2013-11-04 11:03:54	ga_ls8c_ard_3-0-0_107076_2013-11-04_final
2014-08-21 10:51:28	ga_ls8c_ard_3-0-0_105080_2014-08-21_final
2014-08-21 10:51:52	ga_ls8c_ard_3-0-0_105081_2014-08-21_final
2014-08-21 10:52:16	ga_ls8c_ard_3-0-0_105082_2014-08-21_final
2014-12-27 10:51:29	ga_ls8c_ard_3-0-0_105080_2014-12-27_final
2014-12-27 10:51:53	ga_ls8c_ard_3-0-0_105081_2014-12-27_final
2014-12-27 10:52:17	ga_ls8c_ard_3-0-0_105082_2014-12-27_final
2017-07-08 11:10:44	ga_ls8c_ard_3-0-0_109067_2017-07-08_final
2023-02-01 11:00:33	ga_ls8c_ard_3-2-1_107071_2023-02-01_final
2023-02-01 11:00:57	ga_ls8c_ard_3-2-1_107072_2023-02-01_final
2023-02-01 11:01:21	ga_ls8c_ard_3-2-1_107073_2023-02-01_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
2023-02-03 10:51:47	ga_ls8c_ard_3-2-1_105080_2023-02-03_final
2023-02-03 10:52:11	ga_ls8c_ard_3-2-1_105081_2023-02-03_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
2023-03-21 11:00:03	ga_ls8c_ard_3-2-1_107071_2023-03-21_final
2023-03-21 11:00:27	ga_ls8c_ard_3-2-1_107072_2023-03-21_final
2023-03-21 11:00:51	ga_ls8c_ard_3-2-1_107073_2023-03-21_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
2023-03-23 10:51:14	ga_ls8c_ard_3-2-1_105080_2023-03-23_final
2023-03-23 10:51:38	ga_ls8c_ard_3-2-1_105081_2023-03-23_final
2023-03-23 10:52:02	ga_ls8c_ard_3-2-1_105082_2023-03-23_final
2023-03-23 10:52:26	ga_ls8c_ard_3-2-1_105083_2023-03-23_final
2023-03-30 10:55:23	ga_ls8c_ard_3-2-1_106075_2023-03-30_final
2023-03-30 10:55:47	ga_ls8c_ard_3-2-1_106076_2023-03-30_final
2023-03-30 10:56:11	ga_ls8c_ard_3-2-1_106077_2023-03-30_final
2023-03-30 10:56:35	ga_ls8c_ard_3-2-1_106078_2023-03-30_final
2023-03-30 10:56:59	ga_ls8c_ard_3-2-1_106079_2023-03-30_final
2023-03-30 10:57:23	ga_ls8c_ard_3-2-1_106080_2023-03-30_final
2023-03-30 10:57:47	ga_ls8c_ard_3-2-1_106081_2023-03-30_final
2023-04-13 11:05:07	ga_ls8c_ard_3-2-1_108069_2023-04-13_final
2023-04-13 11:05:30	ga_ls8c_ard_3-2-1_108070_2023-04-13_final
2023-04-13 11:05:54	ga_ls8c_ard_3-2-1_108071_2023-04-13_final
2023-04-13 11:06:18	ga_ls8c_ard_3-2-1_108072_2023-04-13_final
2023-04-15 10:55:08	ga_ls8c_ard_3-2-1_106075_2023-04-15_final
2023-04-15 10:55:32	ga_ls8c_ard_3-2-1_106076_2023-04-15_final
2023-04-15 10:55:56	ga_ls8c_ard_3-2-1_106077_2023-04-15_final
2023-04-15 10:56:20	ga_ls8c_ard_3-2-1_106078_2023-04-15_final
2023-04-15 10:56:44	ga_ls8c_ard_3-2-1_106079_2023-04-15_final
2023-04-15 10:57:08	ga_ls8c_ard_3-2-1_106080_2023-04-15_final
2023-04-15 10:57:32	ga_ls8c_ard_3-2-1_106081_2023-04-15_final
2023-08-12 11:00:02	ga_ls8c_ard_3-2-1_107071_2023-08-12_final
2023-08-12 11:00:26	ga_ls8c_ard_3-2-1_107072_2023-08-12_final
2023-08-12 11:00:50	ga_ls8c_ard_3-2-1_107073_2023-08-12_final
2023-08-12 11:01:14	ga_ls8c_ard_3-2-1_107074_2023-08-12_final
2023-08-12 11:01:38	ga_ls8c_ard_3-2-1_107075_2023-08-12_final
2023-08-12 11:02:02	ga_ls8c_ard_3-2-1_107076_2023-08-12_final
2023-08-19 11:05:31	ga_ls8c_ard_3-2-1_108069_2023-08-19_final
2023-08-19 11:05:55	ga_ls8c_ard_3-2-1_108070_2023-08-19_final
2023-08-19 11:06:18	ga_ls8c_ard_3-2-1_108071_2023-08-19_final
2023-08-19 11:06:42	ga_ls8c_ard_3-2-1_108072_2023-08-19_final
2023-08-21 10:55:34	ga_ls8c_ard_3-2-1_106075_2023-08-21_final
2023-08-21 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-08-21_final
2023-08-21 10:56:21	ga_ls8c_ard_3-2-1_106077_2023-08-21_final
2023-08-21 10:56:45	ga_ls8c_ard_3-2-1_106078_2023-08-21_final
2023-08-21 10:57:09	ga_ls8c_ard_3-2-1_106079_2023-08-21_final
2023-08-21 10:57:33	ga_ls8c_ard_3-2-1_106080_2023-08-21_final
2023-08-21 10:57:57	ga_ls8c_ard_3-2-1_106081_2023-08-21_final
2023-09-04 11:05:32	ga_ls8c_ard_3-2-1_108069_2023-09-04_final
2023-09-04 11:05:56	ga_ls8c_ard_3-2-1_108070_2023-09-04_final
2023-09-04 11:06:20	ga_ls8c_ard_3-2-1_108071_2023-09-04_final
2023-09-04 11:06:43	ga_ls8c_ard_3-2-1_108072_2023-09-04_final
2023-09-13 11:00:12	ga_ls8c_ard_3-2-1_107071_2023-09-13_final
2023-09-13 11:00:36	ga_ls8c_ard_3-2-1_107072_2023-09-13_final
2023-09-13 11:01:00	ga_ls8c_ard_3-2-1_107073_2023-09-13_final
2023-09-13 11:01:24	ga_ls8c_ard_3-2-1_107074_2023-09-13_final
2023-09-13 11:01:48	ga_ls8c_ard_3-2-1_107075_2023-09-13_final
2023-09-13 11:02:12	ga_ls8c_ard_3-2-1_107076_2023-09-13_final
2023-10-31 11:00:23	ga_ls8c_ard_3-2-1_107071_2023-10-31_final
2023-10-31 11:00:47	ga_ls8c_ard_3-2-1_107072_2023-10-31_final
2023-10-31 11:01:11	ga_ls8c_ard_3-2-1_107073_2023-10-31_final
2023-10-31 11:01:35	ga_ls8c_ard_3-2-1_107074_2023-10-31_final
2023-10-31 11:01:59	ga_ls8c_ard_3-2-1_107075_2023-10-31_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