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
2018-03-16 10:51:57	ga_ls8c_ard_3-0-0_106067_2018-03-16_final
2018-03-18 10:41:10	ga_ls8c_ard_3-0-0_104071_2018-03-18_final
2018-03-18 10:41:34	ga_ls8c_ard_3-0-0_104072_2018-03-18_final
2018-03-18 10:41:58	ga_ls8c_ard_3-0-0_104073_2018-03-18_final
2018-03-18 10:42:22	ga_ls8c_ard_3-0-0_104074_2018-03-18_final
2018-03-18 10:42:46	ga_ls8c_ard_3-0-0_104075_2018-03-18_final
2018-03-18 10:43:10	ga_ls8c_ard_3-0-0_104076_2018-03-18_final
2018-03-18 10:43:34	ga_ls8c_ard_3-0-0_104077_2018-03-18_final
2018-03-20 10:32:23	ga_ls8c_ard_3-0-0_102080_2018-03-20_final
2018-03-20 10:32:47	ga_ls8c_ard_3-0-0_102081_2018-03-20_final
2018-03-20 10:33:11	ga_ls8c_ard_3-0-0_102082_2018-03-20_final
2018-03-20 10:33:35	ga_ls8c_ard_3-0-0_102083_2018-03-20_final
2018-07-06 10:51:29	ga_ls8c_ard_3-0-0_106067_2018-07-06_final
2021-05-15 10:32:26	ga_ls8c_ard_3-2-0_102080_2021-05-15_final
2021-05-15 10:32:50	ga_ls8c_ard_3-2-0_102081_2021-05-15_final
2021-05-15 10:33:14	ga_ls8c_ard_3-2-0_102082_2021-05-15_final
2021-05-15 10:33:38	ga_ls8c_ard_3-2-0_102083_2021-05-15_final
2021-05-20 10:45:51	ga_ls8c_ard_3-2-0_105067_2021-05-20_final
2021-05-20 10:46:15	ga_ls8c_ard_3-2-0_105068_2021-05-20_final
2021-05-20 10:46:39	ga_ls8c_ard_3-2-0_105069_2021-05-20_final
2021-05-20 10:47:03	ga_ls8c_ard_3-2-0_105070_2021-05-20_final
2021-05-20 10:47:27	ga_ls8c_ard_3-2-0_105071_2021-05-20_final
2021-05-20 10:47:50	ga_ls8c_ard_3-2-0_105072_2021-05-20_final
2021-05-31 10:32:36	ga_ls8c_ard_3-2-0_102080_2021-05-31_final
2021-05-31 10:32:59	ga_ls8c_ard_3-2-0_102081_2021-05-31_final
2021-05-31 10:33:23	ga_ls8c_ard_3-2-0_102082_2021-05-31_final
2021-05-31 10:33:47	ga_ls8c_ard_3-2-0_102083_2021-05-31_final
2021-06-05 10:45:59	ga_ls8c_ard_3-2-0_105067_2021-06-05_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
2021-06-07 10:36:50	ga_ls8c_ard_3-2-0_103075_2021-06-07_final
2021-06-07 10:37:14	ga_ls8c_ard_3-2-0_103076_2021-06-07_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
2021-06-21 10:46:04	ga_ls8c_ard_3-2-0_105067_2021-06-21_final
2021-06-21 10:46:28	ga_ls8c_ard_3-2-0_105068_2021-06-21_final
2021-06-21 10:46:52	ga_ls8c_ard_3-2-0_105069_2021-06-21_final
2021-06-21 10:47:16	ga_ls8c_ard_3-2-0_105070_2021-06-21_final
2021-06-21 10:47:40	ga_ls8c_ard_3-2-0_105071_2021-06-21_final
2021-06-21 10:48:04	ga_ls8c_ard_3-2-0_105072_2021-06-21_final
2021-06-23 10:36:55	ga_ls8c_ard_3-2-0_103075_2021-06-23_final
2021-06-23 10:37:19	ga_ls8c_ard_3-2-0_103076_2021-06-23_final
2021-06-23 10:37:43	ga_ls8c_ard_3-2-0_103077_2021-06-23_final
2021-06-23 10:38:07	ga_ls8c_ard_3-2-0_103078_2021-06-23_final
2021-06-23 10:38:31	ga_ls8c_ard_3-2-0_103079_2021-06-23_final
2021-06-23 10:38:54	ga_ls8c_ard_3-2-0_103080_2021-06-23_final
2021-06-23 10:39:18	ga_ls8c_ard_3-2-0_103081_2021-06-23_final
2021-07-25 10:37:02	ga_ls8c_ard_3-2-0_103075_2021-07-25_final
2021-07-25 10:37:26	ga_ls8c_ard_3-2-0_103076_2021-07-25_final
2021-07-25 10:37:50	ga_ls8c_ard_3-2-0_103077_2021-07-25_final
2021-07-25 10:38:14	ga_ls8c_ard_3-2-0_103078_2021-07-25_final
2021-07-25 10:38:38	ga_ls8c_ard_3-2-0_103079_2021-07-25_final
2021-07-25 10:39:02	ga_ls8c_ard_3-2-0_103080_2021-07-25_final
2021-07-25 10:39:26	ga_ls8c_ard_3-2-0_103081_2021-07-25_final
2021-07-27 10:28:17	ga_ls8c_ard_3-2-0_101084_2021-07-27_final
2021-08-03 10:32:56	ga_ls8c_ard_3-2-0_102080_2021-08-03_final
2021-08-03 10:33:20	ga_ls8c_ard_3-2-0_102081_2021-08-03_final
2021-08-03 10:33:44	ga_ls8c_ard_3-2-0_102082_2021-08-03_final
2021-08-03 10:34:08	ga_ls8c_ard_3-2-0_102083_2021-08-03_final
2021-08-15 10:52:32	ga_ls8c_ard_3-2-0_106067_2021-08-15_final
2021-08-17 10:41:47	ga_ls8c_ard_3-2-0_104071_2021-08-17_final
2021-08-17 10:42:11	ga_ls8c_ard_3-2-0_104072_2021-08-17_final
2021-08-17 10:42:35	ga_ls8c_ard_3-2-0_104073_2021-08-17_final
2021-08-17 10:42:59	ga_ls8c_ard_3-2-0_104074_2021-08-17_final
2021-08-17 10:43:23	ga_ls8c_ard_3-2-0_104075_2021-08-17_final
2021-08-17 10:43:47	ga_ls8c_ard_3-2-0_104076_2021-08-17_final
2021-08-19 10:33:01	ga_ls8c_ard_3-2-0_102080_2021-08-19_final
2021-08-19 10:33:25	ga_ls8c_ard_3-2-0_102081_2021-08-19_final
2021-08-19 10:33:49	ga_ls8c_ard_3-2-0_102082_2021-08-19_final
2021-08-19 10:34:13	ga_ls8c_ard_3-2-0_102083_2021-08-19_final
2021-09-25 10:46:31	ga_ls8c_ard_3-2-0_105067_2021-09-25_final
2021-09-25 10:46:55	ga_ls8c_ard_3-2-0_105068_2021-09-25_final
2021-09-25 10:47:19	ga_ls8c_ard_3-2-0_105069_2021-09-25_final
2021-09-25 10:47:43	ga_ls8c_ard_3-2-0_105070_2021-09-25_final
2021-09-25 10:48:07	ga_ls8c_ard_3-2-0_105071_2021-09-25_final
2021-09-25 10:48:31	ga_ls8c_ard_3-2-0_105072_2021-09-25_final
2021-09-29 10:28:37	ga_ls8c_ard_3-2-0_101084_2021-09-29_final
2021-10-04 10:42:00	ga_ls8c_ard_3-2-0_104071_2021-10-04_final
2021-10-04 10:42:24	ga_ls8c_ard_3-2-0_104072_2021-10-04_final
2021-10-04 10:42:48	ga_ls8c_ard_3-2-0_104073_2021-10-04_final
2021-10-04 10:43:36	ga_ls8c_ard_3-2-0_104075_2021-10-04_final
2021-10-04 10:44:00	ga_ls8c_ard_3-2-0_104076_2021-10-04_final
2021-10-11 10:46:37	ga_ls8c_ard_3-2-0_105067_2021-10-11_final
2021-10-11 10:47:01	ga_ls8c_ard_3-2-0_105068_2021-10-11_final
2021-10-11 10:47:25	ga_ls8c_ard_3-2-0_105069_2021-10-11_final
2021-10-11 10:47:49	ga_ls8c_ard_3-2-0_105070_2021-10-11_final
2021-10-11 10:48:13	ga_ls8c_ard_3-2-0_105071_2021-10-11_final
2021-10-11 10:48:37	ga_ls8c_ard_3-2-0_105072_2021-10-11_final
2021-10-15 10:28:42	ga_ls8c_ard_3-2-0_101084_2021-10-15_final
2023-03-23 10:46:03	ga_ls8c_ard_3-2-1_105067_2023-03-23_final
2023-03-23 10:46:27	ga_ls8c_ard_3-2-1_105068_2023-03-23_final
2023-03-23 10:46:51	ga_ls8c_ard_3-2-1_105069_2023-03-23_final
2023-03-23 10:47:15	ga_ls8c_ard_3-2-1_105070_2023-03-23_final
2023-03-23 10:47:39	ga_ls8c_ard_3-2-1_105071_2023-03-23_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