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
2013-05-23 10:46:04	ga_ls8c_ard_3-1-0_104077_2013-05-23_final
2013-05-23 10:46:28	ga_ls8c_ard_3-0-0_104078_2013-05-23_final
2013-05-23 10:46:51	ga_ls8c_ard_3-0-0_104079_2013-05-23_final
2013-05-23 10:47:15	ga_ls8c_ard_3-0-0_104080_2013-05-23_final
2013-05-23 10:47:39	ga_ls8c_ard_3-0-0_104081_2013-05-23_final
2017-05-07 10:57:54	ga_ls8c_ard_3-0-0_107067_2017-05-07_final
2017-05-07 10:58:18	ga_ls8c_ard_3-0-0_107068_2017-05-07_final
2017-05-07 10:58:42	ga_ls8c_ard_3-0-0_107069_2017-05-07_final
2017-07-10 10:58:22	ga_ls8c_ard_3-0-0_107067_2017-07-10_final
2017-07-10 10:58:46	ga_ls8c_ard_3-0-0_107068_2017-07-10_final
2017-07-10 10:59:10	ga_ls8c_ard_3-0-0_107069_2017-07-10_final
2017-07-12 10:48:25	ga_ls8c_ard_3-0-0_105073_2017-07-12_final
2017-07-12 10:48:48	ga_ls8c_ard_3-0-0_105074_2017-07-12_final
2017-07-12 10:49:12	ga_ls8c_ard_3-0-0_105075_2017-07-12_final
2017-07-12 10:49:36	ga_ls8c_ard_3-0-0_105076_2017-07-12_final
2017-07-12 10:50:00	ga_ls8c_ard_3-0-0_105077_2017-07-12_final
2017-07-12 10:50:24	ga_ls8c_ard_3-0-0_105078_2017-07-12_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
2017-08-27 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
2021-02-13 10:48:41	ga_ls8c_ard_3-2-0_105073_2021-02-13_final
2021-02-13 10:49:05	ga_ls8c_ard_3-2-0_105074_2021-02-13_final
2021-04-27 10:43:36	ga_ls8c_ard_3-2-0_104077_2021-04-27_final
2021-04-27 10:44:00	ga_ls8c_ard_3-2-0_104078_2021-04-27_final
2021-04-27 10:44:24	ga_ls8c_ard_3-2-0_104079_2021-04-27_final
2021-04-27 10:44:48	ga_ls8c_ard_3-2-0_104080_2021-04-27_final
2021-04-27 10:45:12	ga_ls8c_ard_3-2-0_104081_2021-04-27_final
2021-04-27 10:45:36	ga_ls8c_ard_3-2-0_104082_2021-04-27_final
2021-05-02 10:58:06	ga_ls8c_ard_3-2-0_107067_2021-05-02_final
2021-05-02 10:58:30	ga_ls8c_ard_3-2-0_107068_2021-05-02_final
2021-05-04 10:47:43	ga_ls8c_ard_3-2-0_105072_2021-05-04_final
2021-05-04 10:48:07	ga_ls8c_ard_3-2-0_105073_2021-05-04_final
2021-05-04 10:48:31	ga_ls8c_ard_3-2-0_105074_2021-05-04_final
2021-05-04 10:48:55	ga_ls8c_ard_3-2-0_105075_2021-05-04_final
2021-05-04 10:49:19	ga_ls8c_ard_3-2-0_105076_2021-05-04_final
2021-05-04 10:49:43	ga_ls8c_ard_3-2-0_105077_2021-05-04_final
2021-05-04 10:50:07	ga_ls8c_ard_3-2-0_105078_2021-05-04_final
2021-05-06 10:38:55	ga_ls8c_ard_3-2-0_103081_2021-05-06_final
2021-05-06 10:39:19	ga_ls8c_ard_3-2-0_103082_2021-05-06_final
2021-05-06 10:39:43	ga_ls8c_ard_3-2-0_103083_2021-05-06_final
2021-05-27 10:52:30	ga_ls8c_ard_3-2-0_106068_2021-05-27_final
2021-05-27 10:52:53	ga_ls8c_ard_3-2-0_106069_2021-05-27_final
2021-05-27 10:53:17	ga_ls8c_ard_3-2-0_106070_2021-05-27_final
2021-05-27 10:53:41	ga_ls8c_ard_3-2-0_106071_2021-05-27_final
2021-05-27 10:54:05	ga_ls8c_ard_3-2-0_106072_2021-05-27_final
2021-05-27 10:54:29	ga_ls8c_ard_3-2-0_106073_2021-05-27_final
2021-05-29 10:43:44	ga_ls8c_ard_3-2-0_104077_2021-05-29_final
2021-05-29 10:44:08	ga_ls8c_ard_3-2-0_104078_2021-05-29_final
2021-05-29 10:44:32	ga_ls8c_ard_3-2-0_104079_2021-05-29_final
2021-05-29 10:44:56	ga_ls8c_ard_3-2-0_104080_2021-05-29_final
2021-05-29 10:45:20	ga_ls8c_ard_3-2-0_104081_2021-05-29_final
2021-05-29 10:45:44	ga_ls8c_ard_3-2-0_104082_2021-05-29_final
2021-08-24 10:48:23	ga_ls8c_ard_3-2-0_105072_2021-08-24_final
2021-08-24 10:48:47	ga_ls8c_ard_3-2-0_105073_2021-08-24_final
2021-08-24 10:49:11	ga_ls8c_ard_3-2-0_105074_2021-08-24_final
2021-08-24 10:49:35	ga_ls8c_ard_3-2-0_105075_2021-08-24_final
2021-08-24 10:49:59	ga_ls8c_ard_3-2-0_105076_2021-08-24_final
2021-08-24 10:50:23	ga_ls8c_ard_3-2-0_105077_2021-08-24_final
2021-08-24 10:50:47	ga_ls8c_ard_3-2-0_105078_2021-08-24_final
2021-08-26 10:39:38	ga_ls8c_ard_3-2-0_103081_2021-08-26_final
2021-08-26 10:40:02	ga_ls8c_ard_3-2-0_103082_2021-08-26_final
2021-08-26 10:40:26	ga_ls8c_ard_3-2-0_103083_2021-08-26_final
2021-09-02 10:44:15	ga_ls8c_ard_3-2-0_104077_2021-09-02_final
2021-09-02 10:44:39	ga_ls8c_ard_3-2-0_104078_2021-09-02_final
2021-09-02 10:45:03	ga_ls8c_ard_3-2-0_104079_2021-09-02_final
2021-09-02 10:45:27	ga_ls8c_ard_3-2-0_104080_2021-09-02_final
2021-09-02 10:45:51	ga_ls8c_ard_3-2-0_104081_2021-09-02_final
2021-09-02 10:46:15	ga_ls8c_ard_3-2-0_104082_2021-09-02_final
2021-09-07 10:58:50	ga_ls8c_ard_3-2-0_107067_2021-09-07_final
2021-09-07 10:59:14	ga_ls8c_ard_3-2-0_107068_2021-09-07_final
2021-09-07 10:59:38	ga_ls8c_ard_3-2-0_107069_2021-09-07_final
2021-09-11 10:39:42	ga_ls8c_ard_3-2-0_103081_2021-09-11_final
2021-09-11 10:40:06	ga_ls8c_ard_3-2-0_103082_2021-09-11_final
2021-09-11 10:40:30	ga_ls8c_ard_3-2-0_103083_2021-09-11_final
2021-10-02 10:53:09	ga_ls8c_ard_3-2-0_106068_2021-10-02_final
2021-10-02 10:53:33	ga_ls8c_ard_3-2-0_106069_2021-10-02_final
2021-10-02 10:53:57	ga_ls8c_ard_3-2-0_106070_2021-10-02_final
2021-10-02 10:54:21	ga_ls8c_ard_3-2-0_106071_2021-10-02_final
2021-10-02 10:54:45	ga_ls8c_ard_3-2-0_106072_2021-10-02_final
2021-10-02 10:55:09	ga_ls8c_ard_3-2-0_106073_2021-10-02_final
2021-10-04 10:44:24	ga_ls8c_ard_3-2-0_104077_2021-10-04_final
2021-10-04 10:44:48	ga_ls8c_ard_3-2-0_104078_2021-10-04_final
2021-10-04 10:45:12	ga_ls8c_ard_3-2-0_104079_2021-10-04_final
2021-10-04 10:45:36	ga_ls8c_ard_3-2-0_104080_2021-10-04_final
2021-10-04 10:46:00	ga_ls8c_ard_3-2-0_104081_2021-10-04_final
2021-10-04 10:46:23	ga_ls8c_ard_3-2-0_104082_2021-10-04_final
2021-10-09 10:58:58	ga_ls8c_ard_3-2-0_107067_2021-10-09_final
2021-10-09 10:59:22	ga_ls8c_ard_3-2-0_107068_2021-10-09_final
2021-10-11 10:48:37	ga_ls8c_ard_3-2-0_105072_2021-10-11_final
2021-10-11 10:49:01	ga_ls8c_ard_3-2-0_105073_2021-10-11_final
2021-10-11 10:49:25	ga_ls8c_ard_3-2-0_105074_2021-10-11_final
2021-10-11 10:49:49	ga_ls8c_ard_3-2-0_105075_2021-10-11_final
2021-10-11 10:50:13	ga_ls8c_ard_3-2-0_105076_2021-10-11_final
2021-10-11 10:50:37	ga_ls8c_ard_3-2-0_105077_2021-10-11_final
2021-10-11 10:51:00	ga_ls8c_ard_3-2-0_105078_2021-10-11_final
2021-10-13 10:39:51	ga_ls8c_ard_3-2-0_103081_2021-10-13_final
2021-10-13 10:40:15	ga_ls8c_ard_3-2-0_103082_2021-10-13_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