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
2015-01-25 10:22:02	ga_ls8c_ard_3-0-0_100084_2015-01-25_final
2015-02-17 10:26:29	ga_ls8c_ard_3-0-0_101080_2015-02-17_final
2015-02-17 10:26:53	ga_ls8c_ard_3-0-0_101081_2015-02-17_final
2015-02-17 10:27:17	ga_ls8c_ard_3-0-0_101082_2015-02-17_final
2015-02-17 10:27:41	ga_ls8c_ard_3-0-0_101083_2015-02-17_final
2015-03-30 10:21:33	ga_ls8c_ard_3-0-0_100084_2015-03-30_final
2015-03-30 10:21:57	ga_ls8c_ard_3-0-0_100085_2015-03-30_final
2015-04-15 10:21:29	ga_ls8c_ard_3-0-0_100084_2015-04-15_final
2015-04-15 10:21:53	ga_ls8c_ard_3-0-0_100085_2015-04-15_final
2015-04-27 10:39:44	ga_ls8c_ard_3-0-0_104068_2015-04-27_final
2015-04-27 10:40:07	ga_ls8c_ard_3-0-0_104069_2015-04-27_final
2015-04-27 10:40:31	ga_ls8c_ard_3-0-0_104070_2015-04-27_final
2015-04-27 10:40:55	ga_ls8c_ard_3-0-0_104071_2015-04-27_final
2015-04-27 10:41:19	ga_ls8c_ard_3-0-0_104072_2015-04-27_final
2015-04-29 10:30:32	ga_ls8c_ard_3-0-0_102076_2015-04-29_final
2015-04-29 10:30:55	ga_ls8c_ard_3-0-0_102077_2015-04-29_final
2015-04-29 10:31:19	ga_ls8c_ard_3-0-0_102078_2015-04-29_final
2015-04-29 10:31:43	ga_ls8c_ard_3-0-0_102079_2015-04-29_final
2015-04-29 10:32:07	ga_ls8c_ard_3-0-0_102080_2015-04-29_final
2015-04-29 10:32:31	ga_ls8c_ard_3-0-0_102081_2015-04-29_final
2015-05-01 10:21:19	ga_ls8c_ard_3-0-0_100084_2015-05-01_final
2015-05-17 10:21:07	ga_ls8c_ard_3-0-0_100084_2015-05-17_final
2015-05-29 10:39:06	ga_ls8c_ard_3-0-0_104067_2015-05-29_final
2015-05-29 10:39:30	ga_ls8c_ard_3-0-0_104068_2015-05-29_final
2015-05-29 10:39:54	ga_ls8c_ard_3-0-0_104069_2015-05-29_final
2015-05-29 10:40:18	ga_ls8c_ard_3-0-0_104070_2015-05-29_final
2015-05-29 10:40:42	ga_ls8c_ard_3-0-0_104071_2015-05-29_final
2015-05-29 10:41:06	ga_ls8c_ard_3-0-0_104072_2015-05-29_final
2015-05-31 10:30:22	ga_ls8c_ard_3-0-0_102076_2015-05-31_final
2015-05-31 10:30:46	ga_ls8c_ard_3-0-0_102077_2015-05-31_final
2015-05-31 10:31:09	ga_ls8c_ard_3-0-0_102078_2015-05-31_final
2015-05-31 10:31:33	ga_ls8c_ard_3-0-0_102079_2015-05-31_final
2015-05-31 10:31:57	ga_ls8c_ard_3-0-0_102080_2015-05-31_final
2015-05-31 10:32:21	ga_ls8c_ard_3-0-0_102081_2015-05-31_final
2015-06-14 10:39:18	ga_ls8c_ard_3-0-0_104067_2015-06-14_final
2015-06-14 10:39:42	ga_ls8c_ard_3-0-0_104068_2015-06-14_final
2015-06-14 10:40:06	ga_ls8c_ard_3-0-0_104069_2015-06-14_final
2015-06-14 10:40:30	ga_ls8c_ard_3-0-0_104070_2015-06-14_final
2015-06-14 10:40:54	ga_ls8c_ard_3-0-0_104071_2015-06-14_final
2015-06-14 10:41:18	ga_ls8c_ard_3-0-0_104072_2015-06-14_final
2015-06-16 10:30:33	ga_ls8c_ard_3-0-0_102076_2015-06-16_final
2015-06-16 10:30:57	ga_ls8c_ard_3-0-0_102077_2015-06-16_final
2015-06-16 10:31:21	ga_ls8c_ard_3-0-0_102078_2015-06-16_final
2015-06-16 10:31:45	ga_ls8c_ard_3-0-0_102079_2015-06-16_final
2015-06-16 10:32:09	ga_ls8c_ard_3-0-0_102080_2015-06-16_final
2015-06-16 10:32:33	ga_ls8c_ard_3-0-0_102081_2015-06-16_final
2017-04-20 10:21:30	ga_ls8c_ard_3-0-0_100084_2017-04-20_final
2017-04-20 10:21:54	ga_ls8c_ard_3-0-0_100085_2017-04-20_final
2017-06-07 10:21:45	ga_ls8c_ard_3-0-0_100084_2017-06-07_final
2017-06-07 10:22:09	ga_ls8c_ard_3-0-0_100085_2017-06-07_final
2017-07-25 10:22:00	ga_ls8c_ard_3-0-0_100084_2017-07-25_final
2017-07-25 10:22:24	ga_ls8c_ard_3-0-0_100085_2017-07-25_final
2023-01-29 10:32:02	ga_ls8c_ard_3-2-1_102077_2023-01-29_final
2023-01-29 10:32:26	ga_ls8c_ard_3-2-1_102078_2023-01-29_final
2023-01-31 10:22:29	ga_ls8c_ard_3-2-1_100084_2023-01-31_final
2023-02-07 10:27:02	ga_ls8c_ard_3-2-1_101080_2023-02-07_final
2023-02-07 10:27:26	ga_ls8c_ard_3-2-1_101081_2023-02-07_final
2023-02-07 10:27:50	ga_ls8c_ard_3-2-1_101082_2023-02-07_final
2023-02-07 10:28:14	ga_ls8c_ard_3-2-1_101083_2023-02-07_final
2023-02-12 10:40:20	ga_ls8c_ard_3-2-1_104067_2023-02-12_final
2023-02-12 10:40:44	ga_ls8c_ard_3-2-1_104068_2023-02-12_final
2023-02-12 10:41:08	ga_ls8c_ard_3-2-1_104069_2023-02-12_final
2023-02-12 10:41:32	ga_ls8c_ard_3-2-1_104070_2023-02-12_final
2023-02-12 10:41:56	ga_ls8c_ard_3-2-1_104071_2023-02-12_final
2023-02-12 10:42:20	ga_ls8c_ard_3-2-1_104072_2023-02-12_final
2023-02-14 10:31:32	ga_ls8c_ard_3-2-1_102076_2023-02-14_final
2023-02-14 10:31:56	ga_ls8c_ard_3-2-1_102077_2023-02-14_final
2023-02-14 10:32:20	ga_ls8c_ard_3-2-1_102078_2023-02-14_final
2023-02-14 10:32:44	ga_ls8c_ard_3-2-1_102079_2023-02-14_final
2023-02-14 10:33:08	ga_ls8c_ard_3-2-1_102080_2023-02-14_final
2023-02-14 10:33:32	ga_ls8c_ard_3-2-1_102081_2023-02-14_final
2023-02-23 10:26:47	ga_ls8c_ard_3-2-1_101080_2023-02-23_final
2023-02-23 10:27:11	ga_ls8c_ard_3-2-1_101081_2023-02-23_final
2023-02-23 10:27:35	ga_ls8c_ard_3-2-1_101082_2023-02-23_final
2023-02-23 10:27:59	ga_ls8c_ard_3-2-1_101083_2023-02-23_final
2023-02-28 10:40:05	ga_ls8c_ard_3-2-1_104067_2023-02-28_final
2023-02-28 10:40:29	ga_ls8c_ard_3-2-1_104068_2023-02-28_final
2023-02-28 10:40:53	ga_ls8c_ard_3-2-1_104069_2023-02-28_final
2023-02-28 10:41:17	ga_ls8c_ard_3-2-1_104070_2023-02-28_final
2023-02-28 10:41:41	ga_ls8c_ard_3-2-1_104071_2023-02-28_final
2023-02-28 10:42:05	ga_ls8c_ard_3-2-1_104072_2023-02-28_final
2023-03-02 10:31:19	ga_ls8c_ard_3-2-1_102076_2023-03-02_final
2023-03-02 10:31:43	ga_ls8c_ard_3-2-1_102077_2023-03-02_final
2023-03-02 10:32:07	ga_ls8c_ard_3-2-1_102078_2023-03-02_final
2023-03-02 10:32:31	ga_ls8c_ard_3-2-1_102079_2023-03-02_final
2023-03-02 10:32:54	ga_ls8c_ard_3-2-1_102080_2023-03-02_final
2023-03-02 10:33:18	ga_ls8c_ard_3-2-1_102081_2023-03-02_final
2023-03-04 10:22:08	ga_ls8c_ard_3-2-1_100084_2023-03-04_final
2023-03-20 10:22:00	ga_ls8c_ard_3-2-1_100084_2023-03-20_final
2023-03-23 10:46:03	ga_ls8c_ard_3-2-1_105067_2023-03-23_final
2023-04-08 10:45:51	ga_ls8c_ard_3-2-1_105067_2023-04-08_final
2023-04-10 10:35:25	ga_ls8c_ard_3-2-1_103072_2023-04-10_final
2023-04-10 10:35:49	ga_ls8c_ard_3-2-1_103073_2023-04-10_final
2023-04-10 10:36:13	ga_ls8c_ard_3-2-1_103074_2023-04-10_final
2023-04-10 10:36:37	ga_ls8c_ard_3-2-1_103075_2023-04-10_final
2023-04-10 10:37:01	ga_ls8c_ard_3-2-1_103076_2023-04-10_final
2023-04-10 10:37:25	ga_ls8c_ard_3-2-1_103077_2023-04-10_final
2023-04-12 10:26:14	ga_ls8c_ard_3-2-1_101080_2023-04-12_final
2023-04-12 10:26:38	ga_ls8c_ard_3-2-1_101081_2023-04-12_final
2023-04-12 10:27:02	ga_ls8c_ard_3-2-1_101082_2023-04-12_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