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
2014-02-10 10:49:07	ga_ls8c_ard_3-0-0_105072_2014-02-10_final
2014-02-10 10:49:31	ga_ls8c_ard_3-0-0_105073_2014-02-10_final
2014-02-10 10:49:55	ga_ls8c_ard_3-0-0_105074_2014-02-10_final
2014-02-10 10:50:19	ga_ls8c_ard_3-0-0_105075_2014-02-10_final
2014-02-10 10:50:43	ga_ls8c_ard_3-0-0_105076_2014-02-10_final
2014-02-10 10:51:07	ga_ls8c_ard_3-0-0_105077_2014-02-10_final
2014-02-12 10:39:54	ga_ls8c_ard_3-0-0_103080_2014-02-12_final
2014-02-12 10:40:18	ga_ls8c_ard_3-0-0_103081_2014-02-12_final
2014-02-12 10:40:42	ga_ls8c_ard_3-0-0_103082_2014-02-12_final
2014-05-17 10:47:20	ga_ls8c_ard_3-0-0_105071_2014-05-17_final
2014-05-17 10:47:44	ga_ls8c_ard_3-0-0_105072_2014-05-17_final
2014-05-17 10:48:08	ga_ls8c_ard_3-0-0_105073_2014-05-17_final
2014-05-17 10:48:32	ga_ls8c_ard_3-0-0_105074_2014-05-17_final
2014-05-17 10:48:56	ga_ls8c_ard_3-0-0_105075_2014-05-17_final
2014-05-17 10:49:20	ga_ls8c_ard_3-0-0_105076_2014-05-17_final
2014-05-17 10:49:44	ga_ls8c_ard_3-0-0_105077_2014-05-17_final
2020-06-02 10:47:19	ga_ls8c_ard_3-1-0_105071_2020-06-02_final
2020-06-02 10:47:43	ga_ls8c_ard_3-1-0_105072_2020-06-02_final
2020-06-02 10:48:07	ga_ls8c_ard_3-1-0_105073_2020-06-02_final
2020-06-02 10:48:31	ga_ls8c_ard_3-1-0_105074_2020-06-02_final
2020-06-02 10:48:55	ga_ls8c_ard_3-1-0_105075_2020-06-02_final
2020-06-02 10:49:19	ga_ls8c_ard_3-1-0_105076_2020-06-02_final
2020-06-02 10:49:43	ga_ls8c_ard_3-1-0_105077_2020-06-02_final
2020-06-18 10:47:29	ga_ls8c_ard_3-1-0_105071_2020-06-18_final
2020-06-18 10:47:53	ga_ls8c_ard_3-1-0_105072_2020-06-18_final
2020-06-18 10:48:17	ga_ls8c_ard_3-1-0_105073_2020-06-18_final
2020-06-18 10:48:41	ga_ls8c_ard_3-1-0_105074_2020-06-18_final
2020-06-18 10:49:04	ga_ls8c_ard_3-1-0_105075_2020-06-18_final
2020-06-18 10:49:28	ga_ls8c_ard_3-1-0_105076_2020-06-18_final
2020-06-18 10:49:52	ga_ls8c_ard_3-1-0_105077_2020-06-18_final
2020-08-03 10:58:32	ga_ls8c_ard_3-1-0_107067_2020-08-03_final
2020-08-12 10:52:22	ga_ls8c_ard_3-1-0_106067_2020-08-12_final
2020-08-12 10:52:46	ga_ls8c_ard_3-1-0_106068_2020-08-12_final
2020-08-12 10:53:10	ga_ls8c_ard_3-1-0_106069_2020-08-12_final
2020-08-12 10:53:34	ga_ls8c_ard_3-1-0_106070_2020-08-12_final
2020-08-12 10:53:58	ga_ls8c_ard_3-1-0_106071_2020-08-12_final
2020-08-12 10:54:22	ga_ls8c_ard_3-1-0_106072_2020-08-12_final
2020-08-28 10:52:31	ga_ls8c_ard_3-1-0_106067_2020-08-28_final
2020-08-28 10:52:55	ga_ls8c_ard_3-1-0_106068_2020-08-28_final
2020-08-28 10:53:19	ga_ls8c_ard_3-1-0_106069_2020-08-28_final
2020-08-28 10:53:43	ga_ls8c_ard_3-1-0_106070_2020-08-28_final
2020-08-28 10:54:07	ga_ls8c_ard_3-1-0_106071_2020-08-28_final
2020-08-28 10:54:31	ga_ls8c_ard_3-1-0_106072_2020-08-28_final
2020-08-30 10:43:46	ga_ls8c_ard_3-1-0_104076_2020-08-30_final
2020-08-30 10:44:10	ga_ls8c_ard_3-1-0_104077_2020-08-30_final
2020-08-30 10:44:34	ga_ls8c_ard_3-1-0_104078_2020-08-30_final
2020-08-30 10:44:57	ga_ls8c_ard_3-1-0_104079_2020-08-30_final
2020-08-30 10:45:21	ga_ls8c_ard_3-1-0_104080_2020-08-30_final
2020-08-30 10:45:45	ga_ls8c_ard_3-1-0_104081_2020-08-30_final
2020-11-11 10:39:19	ga_ls8c_ard_3-1-0_103080_2020-11-11_final
2020-11-11 10:39:43	ga_ls8c_ard_3-1-0_103081_2020-11-11_final
2020-11-11 10:40:07	ga_ls8c_ard_3-1-0_103082_2020-11-11_final
2020-11-11 10:40:31	ga_ls8c_ard_3-1-0_103083_2020-11-11_final
2020-12-13 10:39:23	ga_ls8c_ard_3-1-0_103080_2020-12-13_final
2020-12-13 10:39:47	ga_ls8c_ard_3-1-0_103081_2020-12-13_final
2020-12-13 10:40:35	ga_ls8c_ard_3-1-0_103083_2020-12-13_final
2021-10-25 10:59:00	ga_ls8c_ard_3-2-0_107067_2021-10-25_final
2021-10-27 10:48:14	ga_ls8c_ard_3-2-0_105071_2021-10-27_final
2021-10-27 10:48:38	ga_ls8c_ard_3-2-0_105072_2021-10-27_final
2021-10-27 10:49:02	ga_ls8c_ard_3-2-0_105073_2021-10-27_final
2021-10-27 10:49:26	ga_ls8c_ard_3-2-0_105074_2021-10-27_final
2021-10-27 10:49:50	ga_ls8c_ard_3-2-0_105075_2021-10-27_final
2021-10-27 10:50:14	ga_ls8c_ard_3-2-0_105076_2021-10-27_final
2021-10-27 10:50:38	ga_ls8c_ard_3-2-0_105077_2021-10-27_final
2021-10-29 10:39:28	ga_ls8c_ard_3-2-0_103080_2021-10-29_final
2021-10-29 10:39:52	ga_ls8c_ard_3-2-0_103081_2021-10-29_final
2021-10-29 10:40:16	ga_ls8c_ard_3-2-0_103082_2021-10-29_final
2021-10-29 10:40:40	ga_ls8c_ard_3-2-0_103083_2021-10-29_final
2021-11-26 10:58:56	ga_ls8c_ard_3-2-0_107067_2021-11-26_final
2021-11-28 10:48:34	ga_ls8c_ard_3-2-0_105072_2021-11-28_final
2021-11-28 10:48:58	ga_ls8c_ard_3-2-0_105073_2021-11-28_final
2021-11-28 10:49:22	ga_ls8c_ard_3-2-0_105074_2021-11-28_final
2021-11-28 10:49:46	ga_ls8c_ard_3-2-0_105075_2021-11-28_final
2021-11-28 10:50:10	ga_ls8c_ard_3-2-0_105076_2021-11-28_final
2021-11-28 10:50:33	ga_ls8c_ard_3-2-0_105077_2021-11-28_final
2021-11-30 10:39:24	ga_ls8c_ard_3-2-0_103080_2021-11-30_final
2021-11-30 10:39:48	ga_ls8c_ard_3-2-0_103081_2021-11-30_final
2021-11-30 10:40:12	ga_ls8c_ard_3-2-0_103082_2021-11-30_final
2023-03-23 10:48:03	ga_ls8c_ard_3-2-1_105072_2023-03-23_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
2023-04-17 10:43:09	ga_ls8c_ard_3-2-1_104076_2023-04-17_final
2023-04-17 10:43:33	ga_ls8c_ard_3-2-1_104077_2023-04-17_final
2023-04-17 10:43:57	ga_ls8c_ard_3-2-1_104078_2023-04-17_final
2023-04-17 10:44:21	ga_ls8c_ard_3-2-1_104079_2023-04-17_final
2023-04-17 10:44:45	ga_ls8c_ard_3-2-1_104080_2023-04-17_final
2023-04-17 10:45:09	ga_ls8c_ard_3-2-1_104081_2023-04-17_final
2023-04-17 10:45:33	ga_ls8c_ard_3-2-1_104082_2023-04-17_final
2023-04-24 10:47:19	ga_ls8c_ard_3-2-1_105071_2023-04-24_final
2023-04-24 10:47:43	ga_ls8c_ard_3-2-1_105072_2023-04-24_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
2023-04-26 10:38:33	ga_ls8c_ard_3-2-1_103080_2023-04-26_final
2023-04-26 10:38:57	ga_ls8c_ard_3-2-1_103081_2023-04-26_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