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
2013-04-12 09:16:59	ga_ls8c_ard_3-0-0_089086_2013-04-11_final
2013-04-13 09:59:58	ga_ls8c_ard_3-0-0_096086_2013-04-13_final
2013-04-28 09:16:40	ga_ls8c_ard_3-0-0_089086_2013-04-27_final
2013-04-29 09:59:56	ga_ls8c_ard_3-0-0_096086_2013-04-29_final
2013-05-01 09:47:36	ga_ls8c_ard_3-0-0_094086_2013-05-01_final
2013-05-26 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-05-26_final
2013-06-09 09:54:01	ga_ls8c_ard_3-0-0_095086_2013-06-09_final
2013-06-11 09:41:38	ga_ls8c_ard_3-0-0_093086_2013-06-11_final
2013-07-02 09:59:45	ga_ls8c_ard_3-0-0_096085_2013-07-02_final
2013-07-02 10:00:09	ga_ls8c_ard_3-0-0_096086_2013-07-02_final
2013-07-04 09:47:47	ga_ls8c_ard_3-0-0_094086_2013-07-04_final
2013-07-18 10:00:08	ga_ls8c_ard_3-0-0_096086_2013-07-18_final
2013-07-20 09:47:46	ga_ls8c_ard_3-0-0_094086_2013-07-20_final
2013-08-21 09:47:27	ga_ls8c_ard_3-0-0_094085_2013-08-21_final
2013-08-21 09:47:51	ga_ls8c_ard_3-0-0_094086_2013-08-21_final
2013-08-23 09:35:29	ga_ls8c_ard_3-0-0_092086_2013-08-23_final
2013-08-28 09:54:02	ga_ls8c_ard_3-0-0_095086_2013-08-28_final
2013-11-09 09:47:09	ga_ls8c_ard_3-0-0_094085_2013-11-09_final
2013-11-09 09:47:33	ga_ls8c_ard_3-0-0_094086_2013-11-09_final
2013-11-11 09:35:11	ga_ls8c_ard_3-0-0_092086_2013-11-11_final
2013-11-13 09:22:25	ga_ls8c_ard_3-0-0_090085_2013-11-12_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2013-11-14 10:05:40	ga_ls8c_ard_3-0-0_097085_2013-11-14_final
2014-09-11 09:33:36	ga_ls8c_ard_3-0-0_092086_2014-09-11_final
2014-09-13 09:20:50	ga_ls8c_ard_3-0-0_090085_2014-09-12_final
2014-09-13 09:21:14	ga_ls8c_ard_3-0-0_090086_2014-09-12_final
2014-11-07 09:27:06	ga_ls8c_ard_3-0-0_091085_2014-11-06_final
2014-11-07 09:27:30	ga_ls8c_ard_3-0-0_091086_2014-11-06_final
2014-11-08 10:10:22	ga_ls8c_ard_3-0-0_098085_2014-11-08_final
2014-11-09 09:14:45	ga_ls8c_ard_3-0-0_089085_2014-11-08_final
2014-11-09 09:15:09	ga_ls8c_ard_3-0-0_089086_2014-11-08_final
2014-11-21 09:39:23	ga_ls8c_ard_3-0-0_093085_2014-11-21_final
2014-11-21 09:39:47	ga_ls8c_ard_3-0-0_093086_2014-11-21_final
2014-11-23 09:27:26	ga_ls8c_ard_3-0-0_091086_2014-11-22_final
2014-11-24 10:10:19	ga_ls8c_ard_3-0-0_098085_2014-11-24_final
2014-11-25 09:14:42	ga_ls8c_ard_3-0-0_089085_2014-11-24_final
2014-11-25 09:15:06	ga_ls8c_ard_3-0-0_089086_2014-11-24_final
2017-03-18 09:39:19	ga_ls8c_ard_3-0-0_093086_2017-03-18_final
2017-03-20 09:26:56	ga_ls8c_ard_3-0-0_091086_2017-03-19_final
2017-06-22 09:38:58	ga_ls8c_ard_3-0-0_093085_2017-06-22_final
2017-06-22 09:39:22	ga_ls8c_ard_3-0-0_093086_2017-06-22_final
2017-06-22 11:17:51	ga_ls8c_ard_3-0-0_109085_2017-06-22_final
2017-06-23 10:22:14	ga_ls8c_ard_3-0-0_100085_2017-06-23_final
2017-06-24 09:26:37	ga_ls8c_ard_3-0-0_091085_2017-06-23_final
2017-06-24 09:27:01	ga_ls8c_ard_3-0-0_091086_2017-06-23_final
2017-06-24 11:05:30	ga_ls8c_ard_3-0-0_107085_2017-06-24_final
2019-07-05 09:45:20	ga_ls8c_ard_3-1-0_094085_2019-07-05_final
2019-07-05 09:45:44	ga_ls8c_ard_3-1-0_094086_2019-07-05_final
2019-07-05 11:24:13	ga_ls8c_ard_3-1-0_110085_2019-07-05_final
2019-07-07 09:32:58	ga_ls8c_ard_3-1-0_092085_2019-07-07_final
2019-07-07 09:33:22	ga_ls8c_ard_3-1-0_092086_2019-07-07_final
2019-07-07 11:11:51	ga_ls8c_ard_3-1-0_108085_2019-07-07_final
2019-07-17 10:10:05	ga_ls8c_ard_3-1-0_098085_2019-07-17_final
2019-07-17 10:10:29	ga_ls8c_ard_3-1-0_098086_2019-07-17_final
2019-07-18 09:14:28	ga_ls8c_ard_3-1-0_089085_2019-07-17_final
2019-07-18 09:14:52	ga_ls8c_ard_3-1-0_089086_2019-07-17_final
2019-07-19 09:57:43	ga_ls8c_ard_3-1-0_096085_2019-07-19_final
2019-07-19 09:58:07	ga_ls8c_ard_3-1-0_096086_2019-07-19_final
2019-07-19 11:36:37	ga_ls8c_ard_3-1-0_112085_2019-07-19_final
2019-08-25 10:16:29	ga_ls8c_ard_3-1-0_099085_2019-08-25_final
2019-08-26 09:20:52	ga_ls8c_ard_3-1-0_090085_2019-08-25_final
2019-08-26 09:21:16	ga_ls8c_ard_3-1-0_090086_2019-08-25_final
2019-08-27 10:04:08	ga_ls8c_ard_3-1-0_097085_2019-08-27_final
2019-08-27 10:04:32	ga_ls8c_ard_3-1-0_097086_2019-08-27_final
2019-09-23 09:45:44	ga_ls8c_ard_3-1-0_094085_2019-09-23_final
2019-09-23 09:46:08	ga_ls8c_ard_3-1-0_094086_2019-09-23_final
2019-09-23 11:24:37	ga_ls8c_ard_3-1-0_110085_2019-09-23_final
2019-09-25 09:33:23	ga_ls8c_ard_3-1-0_092085_2019-09-25_final
2019-09-25 09:33:47	ga_ls8c_ard_3-1-0_092086_2019-09-25_final
2019-09-25 11:12:16	ga_ls8c_ard_3-1-0_108085_2019-09-25_final
2019-10-02 09:39:59	ga_ls8c_ard_3-1-0_093086_2019-10-02_final
2019-10-02 11:18:28	ga_ls8c_ard_3-1-0_109085_2019-10-02_final
2019-10-03 10:22:51	ga_ls8c_ard_3-1-0_100085_2019-10-03_final
2019-10-04 09:27:38	ga_ls8c_ard_3-1-0_091086_2019-10-03_final
2019-10-04 11:06:07	ga_ls8c_ard_3-1-0_107085_2019-10-04_final
2019-10-05 10:10:30	ga_ls8c_ard_3-1-0_098085_2019-10-05_final
2019-10-05 10:10:54	ga_ls8c_ard_3-1-0_098086_2019-10-05_final
2019-10-06 09:14:53	ga_ls8c_ard_3-1-0_089085_2019-10-05_final
2019-10-06 09:15:17	ga_ls8c_ard_3-1-0_089086_2019-10-05_final
2019-10-07 09:58:09	ga_ls8c_ard_3-1-0_096085_2019-10-07_final
2019-10-07 09:58:33	ga_ls8c_ard_3-1-0_096086_2019-10-07_final
2019-10-07 11:37:02	ga_ls8c_ard_3-1-0_112085_2019-10-07_final
2019-10-29 09:21:05	ga_ls8c_ard_3-1-0_090085_2019-10-28_final
2019-10-29 09:21:29	ga_ls8c_ard_3-1-0_090086_2019-10-28_final
2019-11-06 10:10:31	ga_ls8c_ard_3-1-0_098085_2019-11-06_final
2019-11-06 10:10:55	ga_ls8c_ard_3-1-0_098086_2019-11-06_final
2019-11-07 09:14:53	ga_ls8c_ard_3-1-0_089085_2019-11-06_final
2019-11-07 09:15:17	ga_ls8c_ard_3-1-0_089086_2019-11-06_final
2019-11-08 09:58:09	ga_ls8c_ard_3-1-0_096085_2019-11-08_final
2019-11-08 09:58:33	ga_ls8c_ard_3-1-0_096086_2019-11-08_final
2019-11-08 11:37:02	ga_ls8c_ard_3-1-0_112085_2019-11-08_final
2019-11-26 09:45:44	ga_ls8c_ard_3-1-0_094085_2019-11-26_final
2019-11-26 09:46:08	ga_ls8c_ard_3-1-0_094086_2019-11-26_final
2019-11-26 11:24:37	ga_ls8c_ard_3-1-0_110085_2019-11-26_final
2019-11-28 09:33:46	ga_ls8c_ard_3-1-0_092086_2019-11-28_final
2019-11-28 11:12:15	ga_ls8c_ard_3-1-0_108085_2019-11-28_final
2019-12-01 10:04:16	ga_ls8c_ard_3-1-0_097085_2019-12-01_final
2019-12-01 10:04:40	ga_ls8c_ard_3-1-0_097086_2019-12-01_final
2019-12-03 09:51:55	ga_ls8c_ard_3-1-0_095085_2019-12-03_final
2019-12-03 09:52:18	ga_ls8c_ard_3-1-0_095086_2019-12-03_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