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
2015-06-10 11:05:35	ga_ls8c_ard_3-0-0_108071_2015-06-10_final
2015-06-10 11:05:59	ga_ls8c_ard_3-0-0_108072_2015-06-10_final
2015-06-10 11:06:23	ga_ls8c_ard_3-0-0_108073_2015-06-10_final
2015-06-10 11:06:47	ga_ls8c_ard_3-0-0_108074_2015-06-10_final
2015-06-10 11:07:11	ga_ls8c_ard_3-0-0_108075_2015-06-10_final
2015-06-10 11:07:35	ga_ls8c_ard_3-0-0_108076_2015-06-10_final
2015-06-21 10:51:55	ga_ls8c_ard_3-0-0_105083_2015-06-21_final
2016-11-26 11:11:16	ga_ls8c_ard_3-0-0_109067_2016-11-26_final
2016-11-26 11:11:40	ga_ls8c_ard_3-0-0_109068_2016-11-26_final
2016-11-26 11:12:04	ga_ls8c_ard_3-0-0_109069_2016-11-26_final
2016-11-26 11:12:28	ga_ls8c_ard_3-0-0_109070_2016-11-26_final
2016-11-26 11:12:52	ga_ls8c_ard_3-0-0_109071_2016-11-26_final
2016-11-26 11:13:16	ga_ls8c_ard_3-0-0_109072_2016-11-26_final
2016-12-19 11:17:22	ga_ls8c_ard_3-0-0_110067_2016-12-19_final
2017-02-05 11:17:07	ga_ls8c_ard_3-0-0_110067_2017-02-05_final
2017-03-09 11:16:54	ga_ls8c_ard_3-0-0_110067_2017-03-09_final
2017-03-18 11:10:37	ga_ls8c_ard_3-0-0_109067_2017-03-18_final
2017-03-18 11:11:01	ga_ls8c_ard_3-0-0_109068_2017-03-18_final
2017-03-18 11:11:25	ga_ls8c_ard_3-0-0_109069_2017-03-18_final
2017-03-18 11:11:49	ga_ls8c_ard_3-0-0_109070_2017-03-18_final
2017-03-18 11:12:13	ga_ls8c_ard_3-0-0_109071_2017-03-18_final
2017-03-18 11:12:37	ga_ls8c_ard_3-0-0_109072_2017-03-18_final
2017-03-27 11:05:57	ga_ls8c_ard_3-0-0_108071_2017-03-27_final
2017-03-27 11:06:21	ga_ls8c_ard_3-0-0_108072_2017-03-27_final
2017-03-27 11:06:45	ga_ls8c_ard_3-0-0_108073_2017-03-27_final
2017-03-27 11:07:09	ga_ls8c_ard_3-0-0_108074_2017-03-27_final
2017-03-27 11:07:33	ga_ls8c_ard_3-0-0_108075_2017-03-27_final
2017-03-27 11:07:57	ga_ls8c_ard_3-0-0_108076_2017-03-27_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
2017-05-05 11:11:26	ga_ls8c_ard_3-0-0_109070_2017-05-05_final
2017-05-05 11:11:50	ga_ls8c_ard_3-0-0_109071_2017-05-05_final
2017-05-05 11:12:14	ga_ls8c_ard_3-0-0_109072_2017-05-05_final
2017-05-09 10:51:57	ga_ls8c_ard_3-0-0_105083_2017-05-09_final
2017-05-25 10:52:08	ga_ls8c_ard_3-0-0_105083_2017-05-25_final
2017-06-10 10:52:16	ga_ls8c_ard_3-0-0_105083_2017-06-10_final
2017-06-22 11:10:40	ga_ls8c_ard_3-0-0_109067_2017-06-22_final
2017-06-22 11:11:04	ga_ls8c_ard_3-0-0_109068_2017-06-22_final
2017-06-22 11:11:28	ga_ls8c_ard_3-0-0_109069_2017-06-22_final
2017-06-22 11:11:52	ga_ls8c_ard_3-0-0_109070_2017-06-22_final
2017-06-22 11:12:16	ga_ls8c_ard_3-0-0_109071_2017-06-22_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
2017-07-08 11:11:56	ga_ls8c_ard_3-0-0_109070_2017-07-08_final
2017-07-08 11:12:19	ga_ls8c_ard_3-0-0_109071_2017-07-08_final
2017-07-08 11:12:43	ga_ls8c_ard_3-0-0_109072_2017-07-08_final
2018-09-17 10:52:13	ga_ls8c_ard_3-0-0_105083_2018-09-17_final
2018-10-06 11:16:53	ga_ls8c_ard_3-0-0_110067_2018-10-06_final
2018-10-22 11:16:59	ga_ls8c_ard_3-0-0_110067_2018-10-22_final
2018-11-07 11:17:02	ga_ls8c_ard_3-0-0_110067_2018-11-07_final
2018-11-23 11:17:03	ga_ls8c_ard_3-0-0_110067_2018-11-23_final
2018-12-09 11:17:00	ga_ls8c_ard_3-0-0_110067_2018-12-09_final
2018-12-25 11:16:59	ga_ls8c_ard_3-0-0_110067_2018-12-25_final
2019-01-10 11:16:58	ga_ls8c_ard_3-0-0_110067_2019-01-10_final
2023-12-16 11:11:56	ga_ls8c_ard_3-2-1_109069_2023-12-16_final
2023-12-16 11:12:20	ga_ls8c_ard_3-2-1_109070_2023-12-16_final
2023-12-16 11:12:43	ga_ls8c_ard_3-2-1_109071_2023-12-16_final
2023-12-16 11:13:07	ga_ls8c_ard_3-2-1_109072_2023-12-16_final
2023-12-18 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-12-18_final
2023-12-18 11:02:22	ga_ls8c_ard_3-2-1_107076_2023-12-18_final
2023-12-18 11:02:46	ga_ls8c_ard_3-2-1_107077_2023-12-18_final
2023-12-18 11:03:10	ga_ls8c_ard_3-2-1_107078_2023-12-18_final
2023-12-18 11:03:34	ga_ls8c_ard_3-2-1_107079_2023-12-18_final
2023-12-18 11:03:58	ga_ls8c_ard_3-2-1_107080_2023-12-18_final
2023-12-18 11:04:22	ga_ls8c_ard_3-2-1_107081_2023-12-18_final
2023-12-20 10:52:49	ga_ls8c_ard_3-2-1_105083_2023-12-20_final
2024-01-10 11:06:28	ga_ls8c_ard_3-2-1_108071_2024-01-10_final
2024-01-10 11:06:52	ga_ls8c_ard_3-2-1_108072_2024-01-10_final
2024-01-10 11:07:16	ga_ls8c_ard_3-2-1_108073_2024-01-10_final
2024-01-10 11:07:39	ga_ls8c_ard_3-2-1_108074_2024-01-10_final
2024-01-10 11:08:03	ga_ls8c_ard_3-2-1_108075_2024-01-10_final
2024-01-10 11:08:27	ga_ls8c_ard_3-2-1_108076_2024-01-10_final
2024-01-12 10:57:42	ga_ls8c_ard_3-2-1_106080_2024-01-12_final
2024-01-12 10:58:06	ga_ls8c_ard_3-2-1_106081_2024-01-12_final
2024-01-12 10:58:30	ga_ls8c_ard_3-2-1_106082_2024-01-12_final
2024-01-12 10:58:54	ga_ls8c_ard_3-2-1_106083_2024-01-12_final
2024-01-17 11:11:51	ga_ls8c_ard_3-2-1_109069_2024-01-17_final
2024-01-17 11:12:15	ga_ls8c_ard_3-2-1_109070_2024-01-17_final
2024-01-17 11:12:39	ga_ls8c_ard_3-2-1_109071_2024-01-17_final
2024-01-17 11:13:03	ga_ls8c_ard_3-2-1_109072_2024-01-17_final
2024-01-19 11:01:52	ga_ls8c_ard_3-2-1_107075_2024-01-19_final
2024-01-19 11:02:16	ga_ls8c_ard_3-2-1_107076_2024-01-19_final
2024-01-19 11:02:40	ga_ls8c_ard_3-2-1_107077_2024-01-19_final
2024-01-19 11:03:04	ga_ls8c_ard_3-2-1_107078_2024-01-19_final
2024-01-19 11:03:28	ga_ls8c_ard_3-2-1_107079_2024-01-19_final
2024-01-19 11:03:52	ga_ls8c_ard_3-2-1_107080_2024-01-19_final
2024-01-19 11:04:16	ga_ls8c_ard_3-2-1_107081_2024-01-19_final
2024-01-21 10:52:41	ga_ls8c_ard_3-2-1_105083_2024-01-21_final
2024-02-22 10:52:39	ga_ls8c_ard_3-2-1_105083_2024-02-22_final
2024-02-27 11:06:22	ga_ls8c_ard_3-2-1_108071_2024-02-27_final
2024-02-27 11:06:46	ga_ls8c_ard_3-2-1_108072_2024-02-27_final
2024-02-27 11:07:09	ga_ls8c_ard_3-2-1_108073_2024-02-27_final
2024-02-27 11:07:33	ga_ls8c_ard_3-2-1_108074_2024-02-27_final
2024-02-27 11:07:57	ga_ls8c_ard_3-2-1_108075_2024-02-27_final
2024-02-27 11:08:21	ga_ls8c_ard_3-2-1_108076_2024-02-27_final
2024-02-29 10:57:34	ga_ls8c_ard_3-2-1_106080_2024-02-29_final
2024-02-29 10:57:58	ga_ls8c_ard_3-2-1_106081_2024-02-29_final
2024-02-29 10:58:22	ga_ls8c_ard_3-2-1_106082_2024-02-29_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