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
2021-04-11 10:42:09	ga_ls8c_ard_3-2-0_104073_2021-04-11_final
2021-04-11 10:42:32	ga_ls8c_ard_3-2-0_104074_2021-04-11_final
2021-04-11 10:42:56	ga_ls8c_ard_3-2-0_104075_2021-04-11_final
2021-04-11 10:43:20	ga_ls8c_ard_3-2-0_104076_2021-04-11_final
2021-04-11 10:43:44	ga_ls8c_ard_3-2-0_104077_2021-04-11_final
2021-04-11 10:44:08	ga_ls8c_ard_3-2-0_104078_2021-04-11_final
2021-04-11 10:44:32	ga_ls8c_ard_3-2-0_104079_2021-04-11_final
2021-04-13 10:33:22	ga_ls8c_ard_3-2-0_102082_2021-04-13_final
2021-04-13 10:33:46	ga_ls8c_ard_3-2-0_102083_2021-04-13_final
2021-04-18 10:46:17	ga_ls8c_ard_3-2-0_105068_2021-04-18_final
2021-04-18 10:46:41	ga_ls8c_ard_3-2-0_105069_2021-04-18_final
2021-04-18 10:47:05	ga_ls8c_ard_3-2-0_105070_2021-04-18_final
2021-04-18 10:47:28	ga_ls8c_ard_3-2-0_105071_2021-04-18_final
2021-04-18 10:47:52	ga_ls8c_ard_3-2-0_105072_2021-04-18_final
2021-04-18 10:48:16	ga_ls8c_ard_3-2-0_105073_2021-04-18_final
2021-04-18 10:48:40	ga_ls8c_ard_3-2-0_105074_2021-04-18_final
2021-04-20 10:37:29	ga_ls8c_ard_3-2-0_103077_2021-04-20_final
2021-04-20 10:37:53	ga_ls8c_ard_3-2-0_103078_2021-04-20_final
2021-04-20 10:38:17	ga_ls8c_ard_3-2-0_103079_2021-04-20_final
2021-04-20 10:38:41	ga_ls8c_ard_3-2-0_103080_2021-04-20_final
2021-04-20 10:39:05	ga_ls8c_ard_3-2-0_103081_2021-04-20_final
2021-04-20 10:39:29	ga_ls8c_ard_3-2-0_103082_2021-04-20_final
2021-04-20 10:39:53	ga_ls8c_ard_3-2-0_103083_2021-04-20_final
2021-04-25 10:52:00	ga_ls8c_ard_3-2-0_106067_2021-04-25_final
2021-04-25 10:52:24	ga_ls8c_ard_3-2-0_106068_2021-04-25_final
2021-04-25 10:52:48	ga_ls8c_ard_3-2-0_106069_2021-04-25_final
2021-06-05 10:46:23	ga_ls8c_ard_3-2-0_105068_2021-06-05_final
2021-06-05 10:46:47	ga_ls8c_ard_3-2-0_105069_2021-06-05_final
2021-06-05 10:47:11	ga_ls8c_ard_3-2-0_105070_2021-06-05_final
2021-06-05 10:47:35	ga_ls8c_ard_3-2-0_105071_2021-06-05_final
2021-06-05 10:47:59	ga_ls8c_ard_3-2-0_105072_2021-06-05_final
2021-06-05 10:48:23	ga_ls8c_ard_3-2-0_105073_2021-06-05_final
2021-06-05 10:48:47	ga_ls8c_ard_3-2-0_105074_2021-06-05_final
2021-06-07 10:37:38	ga_ls8c_ard_3-2-0_103077_2021-06-07_final
2021-06-07 10:38:02	ga_ls8c_ard_3-2-0_103078_2021-06-07_final
2021-06-07 10:38:25	ga_ls8c_ard_3-2-0_103079_2021-06-07_final
2021-06-07 10:38:49	ga_ls8c_ard_3-2-0_103080_2021-06-07_final
2021-06-07 10:39:13	ga_ls8c_ard_3-2-0_103081_2021-06-07_final
2021-06-07 10:39:37	ga_ls8c_ard_3-2-0_103082_2021-06-07_final
2021-06-07 10:40:01	ga_ls8c_ard_3-2-0_103083_2021-06-07_final
2021-12-25 10:33:57	ga_ls8c_ard_3-2-1_102082_2021-12-25_final
2021-12-30 10:46:52	ga_ls8c_ard_3-2-1_105068_2021-12-30_final
2021-12-30 10:47:16	ga_ls8c_ard_3-2-1_105069_2021-12-30_final
2021-12-30 10:47:40	ga_ls8c_ard_3-2-1_105070_2021-12-30_final
2021-12-30 10:48:03	ga_ls8c_ard_3-2-1_105071_2021-12-30_final
2021-12-30 10:48:27	ga_ls8c_ard_3-2-1_105072_2021-12-30_final
2021-12-30 10:48:51	ga_ls8c_ard_3-2-1_105073_2021-12-30_final
2021-12-30 10:49:15	ga_ls8c_ard_3-2-1_105074_2021-12-30_final
2022-01-01 10:38:29	ga_ls8c_ard_3-2-1_103078_2022-01-01_final
2022-01-01 10:38:53	ga_ls8c_ard_3-2-1_103079_2022-01-01_final
2022-01-01 10:39:17	ga_ls8c_ard_3-2-1_103080_2022-01-01_final
2022-01-01 10:39:41	ga_ls8c_ard_3-2-1_103081_2022-01-01_final
2022-01-01 10:40:05	ga_ls8c_ard_3-2-1_103082_2022-01-01_final
2022-01-22 10:52:34	ga_ls8c_ard_3-2-1_106067_2022-01-22_final
2022-01-22 10:52:58	ga_ls8c_ard_3-2-1_106068_2022-01-22_final
2022-01-22 10:53:22	ga_ls8c_ard_3-2-1_106069_2022-01-22_final
2022-01-24 10:42:35	ga_ls8c_ard_3-2-1_104073_2022-01-24_final
2022-01-24 10:42:59	ga_ls8c_ard_3-2-1_104074_2022-01-24_final
2022-01-24 10:43:23	ga_ls8c_ard_3-2-1_104075_2022-01-24_final
2022-01-24 10:43:47	ga_ls8c_ard_3-2-1_104076_2022-01-24_final
2022-01-24 10:44:11	ga_ls8c_ard_3-2-1_104077_2022-01-24_final
2022-01-24 10:44:35	ga_ls8c_ard_3-2-1_104078_2022-01-24_final
2022-01-24 10:44:59	ga_ls8c_ard_3-2-1_104079_2022-01-24_final
2022-02-23 10:52:25	ga_ls8c_ard_3-2-1_106067_2022-02-23_final
2022-02-23 10:52:49	ga_ls8c_ard_3-2-1_106068_2022-02-23_final
2022-02-23 10:53:13	ga_ls8c_ard_3-2-1_106069_2022-02-23_final
2022-02-25 10:42:27	ga_ls8c_ard_3-2-1_104073_2022-02-25_final
2022-02-25 10:42:51	ga_ls8c_ard_3-2-1_104074_2022-02-25_final
2022-02-25 10:43:15	ga_ls8c_ard_3-2-1_104075_2022-02-25_final
2022-02-25 10:43:39	ga_ls8c_ard_3-2-1_104076_2022-02-25_final
2022-02-25 10:44:03	ga_ls8c_ard_3-2-1_104077_2022-02-25_final
2022-02-25 10:44:27	ga_ls8c_ard_3-2-1_104078_2022-02-25_final
2022-02-25 10:44:51	ga_ls8c_ard_3-2-1_104079_2022-02-25_final
2022-02-27 10:33:41	ga_ls8c_ard_3-2-1_102082_2022-02-27_final
2022-04-21 10:46:50	ga_ls8c_ard_3-2-1_105069_2022-04-21_final
2022-04-21 10:47:13	ga_ls8c_ard_3-2-1_105070_2022-04-21_final
2022-04-21 10:47:37	ga_ls8c_ard_3-2-1_105071_2022-04-21_final
2022-04-23 10:37:39	ga_ls8c_ard_3-2-1_103077_2022-04-23_final
2022-04-23 10:38:03	ga_ls8c_ard_3-2-1_103078_2022-04-23_final
2022-04-23 10:38:27	ga_ls8c_ard_3-2-1_103079_2022-04-23_final
2022-04-23 10:38:50	ga_ls8c_ard_3-2-1_103080_2022-04-23_final
2022-04-23 10:39:14	ga_ls8c_ard_3-2-1_103081_2022-04-23_final
2022-04-23 10:39:38	ga_ls8c_ard_3-2-1_103082_2022-04-23_final
2022-05-07 10:46:28	ga_ls8c_ard_3-2-1_105068_2022-05-07_final
2022-05-07 10:46:52	ga_ls8c_ard_3-2-1_105069_2022-05-07_final
2022-05-07 10:47:16	ga_ls8c_ard_3-2-1_105070_2022-05-07_final
2022-05-07 10:47:40	ga_ls8c_ard_3-2-1_105071_2022-05-07_final
2022-05-07 10:48:04	ga_ls8c_ard_3-2-1_105072_2022-05-07_final
2022-05-07 10:48:28	ga_ls8c_ard_3-2-1_105073_2022-05-07_final
2022-05-07 10:48:52	ga_ls8c_ard_3-2-1_105074_2022-05-07_final
2023-05-21 10:32:32	ga_ls8c_ard_3-2-1_102081_2023-05-21_final
2023-05-21 10:32:56	ga_ls8c_ard_3-2-1_102082_2023-05-21_final
2024-03-20 10:33:25	ga_ls8c_ard_3-2-1_102082_2024-03-20_final
2024-03-25 10:46:16	ga_ls8c_ard_3-2-1_105068_2024-03-25_final
2024-03-25 10:46:40	ga_ls8c_ard_3-2-1_105069_2024-03-25_final
2024-03-25 10:47:04	ga_ls8c_ard_3-2-1_105070_2024-03-25_final
2024-03-25 10:47:28	ga_ls8c_ard_3-2-1_105071_2024-03-25_final
2024-03-25 10:47:52	ga_ls8c_ard_3-2-1_105072_2024-03-25_final
2024-03-25 10:48:16	ga_ls8c_ard_3-2-1_105073_2024-03-25_final
2024-03-25 10:48:40	ga_ls8c_ard_3-2-1_105074_2024-03-25_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