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
2015-02-20 10:52:36	ga_ls8c_ard_3-0-0_106068_2015-02-20_final
2015-02-20 10:53:00	ga_ls8c_ard_3-0-0_106069_2015-02-20_final
2015-02-20 10:53:24	ga_ls8c_ard_3-0-0_106070_2015-02-20_final
2015-02-20 10:53:48	ga_ls8c_ard_3-0-0_106071_2015-02-20_final
2015-02-20 10:54:12	ga_ls8c_ard_3-0-0_106072_2015-02-20_final
2015-02-20 10:54:36	ga_ls8c_ard_3-0-0_106073_2015-02-20_final
2015-02-20 10:55:00	ga_ls8c_ard_3-0-0_106074_2015-02-20_final
2015-03-01 10:48:23	ga_ls8c_ard_3-0-0_105073_2015-03-01_final
2015-03-01 10:48:46	ga_ls8c_ard_3-0-0_105074_2015-03-01_final
2015-03-01 10:49:10	ga_ls8c_ard_3-0-0_105075_2015-03-01_final
2015-03-01 10:49:34	ga_ls8c_ard_3-0-0_105076_2015-03-01_final
2015-03-01 10:49:58	ga_ls8c_ard_3-0-0_105077_2015-03-01_final
2015-03-01 10:50:22	ga_ls8c_ard_3-0-0_105078_2015-03-01_final
2015-03-01 10:50:46	ga_ls8c_ard_3-0-0_105079_2015-03-01_final
2017-03-22 10:48:15	ga_ls8c_ard_3-0-0_105073_2017-03-22_final
2017-03-22 10:48:39	ga_ls8c_ard_3-0-0_105074_2017-03-22_final
2017-03-22 10:49:03	ga_ls8c_ard_3-0-0_105075_2017-03-22_final
2017-03-22 10:49:27	ga_ls8c_ard_3-0-0_105076_2017-03-22_final
2017-03-22 10:49:51	ga_ls8c_ard_3-0-0_105077_2017-03-22_final
2017-03-22 10:50:15	ga_ls8c_ard_3-0-0_105078_2017-03-22_final
2017-03-22 10:50:39	ga_ls8c_ard_3-0-0_105079_2017-03-22_final
2017-03-24 10:39:27	ga_ls8c_ard_3-0-0_103082_2017-03-24_final
2017-03-24 10:39:51	ga_ls8c_ard_3-0-0_103083_2017-03-24_final
2017-04-16 10:43:28	ga_ls8c_ard_3-0-0_104077_2017-04-16_final
2017-04-16 10:43:52	ga_ls8c_ard_3-0-0_104078_2017-04-16_final
2017-04-16 10:44:16	ga_ls8c_ard_3-0-0_104079_2017-04-16_final
2017-04-16 10:44:40	ga_ls8c_ard_3-0-0_104080_2017-04-16_final
2017-04-16 10:45:04	ga_ls8c_ard_3-0-0_104081_2017-04-16_final
2017-04-16 10:45:28	ga_ls8c_ard_3-0-0_104082_2017-04-16_final
2017-04-16 10:45:52	ga_ls8c_ard_3-0-0_104083_2017-04-16_final
2017-04-25 10:39:11	ga_ls8c_ard_3-0-0_103082_2017-04-25_final
2017-04-25 10:39:35	ga_ls8c_ard_3-0-0_103083_2017-04-25_final
2017-07-19 10:52:39	ga_ls8c_ard_3-0-0_106068_2017-07-19_final
2017-07-19 10:53:03	ga_ls8c_ard_3-0-0_106069_2017-07-19_final
2017-07-19 10:53:27	ga_ls8c_ard_3-0-0_106070_2017-07-19_final
2017-07-19 10:53:51	ga_ls8c_ard_3-0-0_106071_2017-07-19_final
2017-07-19 10:54:15	ga_ls8c_ard_3-0-0_106072_2017-07-19_final
2017-07-19 10:54:39	ga_ls8c_ard_3-0-0_106073_2017-07-19_final
2017-07-19 10:55:02	ga_ls8c_ard_3-0-0_106074_2017-07-19_final
2017-07-28 10:48:32	ga_ls8c_ard_3-0-0_105073_2017-07-28_final
2017-07-28 10:48:56	ga_ls8c_ard_3-0-0_105074_2017-07-28_final
2017-07-28 10:49:20	ga_ls8c_ard_3-0-0_105075_2017-07-28_final
2017-07-28 10:49:44	ga_ls8c_ard_3-0-0_105076_2017-07-28_final
2017-07-28 10:50:08	ga_ls8c_ard_3-0-0_105077_2017-07-28_final
2017-07-28 10:50:32	ga_ls8c_ard_3-0-0_105078_2017-07-28_final
2017-07-28 10:50:56	ga_ls8c_ard_3-0-0_105079_2017-07-28_final
2017-08-11 10:58:36	ga_ls8c_ard_3-0-0_107067_2017-08-11_final
2017-08-11 10:59:00	ga_ls8c_ard_3-0-0_107068_2017-08-11_final
2017-08-11 10:59:24	ga_ls8c_ard_3-0-0_107069_2017-08-11_final
2017-08-15 10:39:29	ga_ls8c_ard_3-0-0_103081_2017-08-15_final
2017-08-15 10:39:53	ga_ls8c_ard_3-0-0_103082_2017-08-15_final
2017-08-15 10:40:17	ga_ls8c_ard_3-0-0_103083_2017-08-15_final
2017-08-27 10:58:40	ga_ls8c_ard_3-0-0_107067_2017-08-27_final
2017-08-27 10:59:04	ga_ls8c_ard_3-0-0_107068_2017-08-27_final
2017-08-27 10:59:28	ga_ls8c_ard_3-0-0_107069_2017-08-27_final
2023-03-14 10:55:09	ga_ls8c_ard_3-2-1_106074_2023-03-14_final
2023-03-23 10:48:27	ga_ls8c_ard_3-2-1_105073_2023-03-23_final
2023-03-23 10:48:51	ga_ls8c_ard_3-2-1_105074_2023-03-23_final
2023-03-23 10:49:15	ga_ls8c_ard_3-2-1_105075_2023-03-23_final
2023-03-23 10:49:39	ga_ls8c_ard_3-2-1_105076_2023-03-23_final
2023-03-23 10:50:03	ga_ls8c_ard_3-2-1_105077_2023-03-23_final
2023-03-23 10:50:27	ga_ls8c_ard_3-2-1_105078_2023-03-23_final
2023-03-23 10:50:50	ga_ls8c_ard_3-2-1_105079_2023-03-23_final
2023-03-25 10:39:40	ga_ls8c_ard_3-2-1_103082_2023-03-25_final
2023-03-30 10:52:35	ga_ls8c_ard_3-2-1_106068_2023-03-30_final
2023-03-30 10:52:59	ga_ls8c_ard_3-2-1_106069_2023-03-30_final
2023-03-30 10:53:23	ga_ls8c_ard_3-2-1_106070_2023-03-30_final
2023-03-30 10:53:47	ga_ls8c_ard_3-2-1_106071_2023-03-30_final
2023-03-30 10:54:11	ga_ls8c_ard_3-2-1_106072_2023-03-30_final
2023-03-30 10:54:35	ga_ls8c_ard_3-2-1_106073_2023-03-30_final
2023-03-30 10:54:59	ga_ls8c_ard_3-2-1_106074_2023-03-30_final
2023-04-01 10:43:48	ga_ls8c_ard_3-2-1_104077_2023-04-01_final
2023-04-01 10:44:12	ga_ls8c_ard_3-2-1_104078_2023-04-01_final
2023-04-01 10:44:36	ga_ls8c_ard_3-2-1_104079_2023-04-01_final
2023-04-01 10:45:00	ga_ls8c_ard_3-2-1_104080_2023-04-01_final
2023-04-01 10:45:23	ga_ls8c_ard_3-2-1_104081_2023-04-01_final
2023-04-01 10:45:47	ga_ls8c_ard_3-2-1_104082_2023-04-01_final
2023-04-10 10:39:25	ga_ls8c_ard_3-2-1_103082_2023-04-10_final
2023-04-24 10:48:07	ga_ls8c_ard_3-2-1_105073_2023-04-24_final
2023-04-24 10:48:31	ga_ls8c_ard_3-2-1_105074_2023-04-24_final
2023-04-24 10:48:55	ga_ls8c_ard_3-2-1_105075_2023-04-24_final
2023-04-24 10:49:19	ga_ls8c_ard_3-2-1_105076_2023-04-24_final
2023-04-24 10:49:43	ga_ls8c_ard_3-2-1_105077_2023-04-24_final
2023-04-24 10:50:07	ga_ls8c_ard_3-2-1_105078_2023-04-24_final
2023-04-24 10:50:31	ga_ls8c_ard_3-2-1_105079_2023-04-24_final
2023-04-26 10:39:21	ga_ls8c_ard_3-2-1_103082_2023-04-26_final
2023-09-08 10:44:00	ga_ls8c_ard_3-2-1_104077_2023-09-08_final
2023-09-08 10:44:24	ga_ls8c_ard_3-2-1_104078_2023-09-08_final
2023-09-08 10:44:48	ga_ls8c_ard_3-2-1_104079_2023-09-08_final
2023-09-08 10:45:12	ga_ls8c_ard_3-2-1_104080_2023-09-08_final
2023-09-08 10:45:36	ga_ls8c_ard_3-2-1_104081_2023-09-08_final
2023-09-08 10:46:00	ga_ls8c_ard_3-2-1_104082_2023-09-08_final
2023-09-15 10:48:40	ga_ls8c_ard_3-2-1_105073_2023-09-15_final
2023-09-15 10:49:04	ga_ls8c_ard_3-2-1_105074_2023-09-15_final
2023-09-15 10:49:27	ga_ls8c_ard_3-2-1_105075_2023-09-15_final
2023-09-15 10:49:51	ga_ls8c_ard_3-2-1_105076_2023-09-15_final
2023-09-15 10:50:15	ga_ls8c_ard_3-2-1_105077_2023-09-15_final
2023-09-15 10:50:39	ga_ls8c_ard_3-2-1_105078_2023-09-15_final
2023-09-15 10:51:03	ga_ls8c_ard_3-2-1_105079_2023-09-15_final
2023-09-17 10:39:30	ga_ls8c_ard_3-2-1_103081_2023-09-17_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