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
2014-07-19 10:07:37	ga_ls8c_ard_3-0-0_098079_2014-07-19_final
2014-07-19 10:08:01	ga_ls8c_ard_3-0-0_098080_2014-07-19_final
2014-07-19 11:46:54	ga_ls8c_ard_3-0-0_114080_2014-07-19_final
2014-07-20 09:11:59	ga_ls8c_ard_3-0-0_089079_2014-07-19_final
2014-07-20 09:12:23	ga_ls8c_ard_3-0-0_089080_2014-07-19_final
2014-07-20 10:50:52	ga_ls8c_ard_3-0-0_105079_2014-07-20_final
2014-07-20 10:51:16	ga_ls8c_ard_3-0-0_105080_2014-07-20_final
2014-07-21 09:55:15	ga_ls8c_ard_3-0-0_096079_2014-07-21_final
2014-07-21 09:55:39	ga_ls8c_ard_3-0-0_096080_2014-07-21_final
2014-07-21 11:34:08	ga_ls8c_ard_3-0-0_112079_2014-07-21_final
2014-07-21 11:34:32	ga_ls8c_ard_3-0-0_112080_2014-07-21_final
2014-07-22 10:38:55	ga_ls8c_ard_3-0-0_103080_2014-07-22_final
2014-07-23 09:42:53	ga_ls8c_ard_3-0-0_094079_2014-07-23_final
2014-07-23 09:43:17	ga_ls8c_ard_3-0-0_094080_2014-07-23_final
2014-07-23 11:21:47	ga_ls8c_ard_3-0-0_110079_2014-07-23_final
2014-07-23 11:22:10	ga_ls8c_ard_3-0-0_110080_2014-07-23_final
2014-07-24 10:26:33	ga_ls8c_ard_3-0-0_101080_2014-07-24_final
2014-07-25 09:30:56	ga_ls8c_ard_3-0-0_092080_2014-07-25_final
2014-07-25 11:09:49	ga_ls8c_ard_3-0-0_108080_2014-07-25_final
2014-07-26 10:14:12	ga_ls8c_ard_3-0-0_099080_2014-07-26_final
2014-07-26 11:53:06	ga_ls8c_ard_3-0-0_115080_2014-07-26_final
2014-07-27 09:18:12	ga_ls8c_ard_3-0-0_090079_2014-07-26_final
2014-07-27 09:18:36	ga_ls8c_ard_3-0-0_090080_2014-07-26_final
2014-07-27 10:57:29	ga_ls8c_ard_3-0-0_106080_2014-07-27_final
2014-09-11 09:31:12	ga_ls8c_ard_3-0-0_092080_2014-09-11_final
2014-09-11 11:09:41	ga_ls8c_ard_3-0-0_108079_2014-09-11_final
2014-09-11 11:10:05	ga_ls8c_ard_3-0-0_108080_2014-09-11_final
2014-09-12 10:14:04	ga_ls8c_ard_3-0-0_099079_2014-09-12_final
2014-09-12 10:14:28	ga_ls8c_ard_3-0-0_099080_2014-09-12_final
2014-09-12 11:52:57	ga_ls8c_ard_3-0-0_115079_2014-09-12_final
2014-09-12 11:53:21	ga_ls8c_ard_3-0-0_115080_2014-09-12_final
2014-09-13 09:18:50	ga_ls8c_ard_3-0-0_090080_2014-09-12_final
2014-09-13 10:57:43	ga_ls8c_ard_3-0-0_106080_2014-09-13_final
2014-09-27 09:30:46	ga_ls8c_ard_3-0-0_092079_2014-09-27_final
2014-09-27 09:31:10	ga_ls8c_ard_3-0-0_092080_2014-09-27_final
2014-09-27 11:09:39	ga_ls8c_ard_3-0-0_108079_2014-09-27_final
2014-09-27 11:10:03	ga_ls8c_ard_3-0-0_108080_2014-09-27_final
2014-09-28 10:14:02	ga_ls8c_ard_3-0-0_099079_2014-09-28_final
2014-09-28 10:14:26	ga_ls8c_ard_3-0-0_099080_2014-09-28_final
2014-09-28 11:52:55	ga_ls8c_ard_3-0-0_115079_2014-09-28_final
2014-09-28 11:53:19	ga_ls8c_ard_3-0-0_115080_2014-09-28_final
2014-09-29 09:18:50	ga_ls8c_ard_3-0-0_090080_2014-09-28_final
2014-09-29 10:57:43	ga_ls8c_ard_3-0-0_106080_2014-09-29_final
2014-10-07 10:07:56	ga_ls8c_ard_3-0-0_098079_2014-10-07_final
2014-10-07 10:08:20	ga_ls8c_ard_3-0-0_098080_2014-10-07_final
2014-10-07 11:46:49	ga_ls8c_ard_3-0-0_114079_2014-10-07_final
2014-10-07 11:47:13	ga_ls8c_ard_3-0-0_114080_2014-10-07_final
2014-10-08 09:12:43	ga_ls8c_ard_3-0-0_089080_2014-10-07_final
2014-10-08 10:51:36	ga_ls8c_ard_3-0-0_105080_2014-10-08_final
2014-10-09 09:55:58	ga_ls8c_ard_3-0-0_096080_2014-10-09_final
2014-10-09 11:34:28	ga_ls8c_ard_3-0-0_112079_2014-10-09_final
2014-10-09 11:34:51	ga_ls8c_ard_3-0-0_112080_2014-10-09_final
2014-10-10 10:38:50	ga_ls8c_ard_3-1-0_103079_2014-10-10_final
2014-10-10 10:39:14	ga_ls8c_ard_3-0-0_103080_2014-10-10_final
2014-10-11 09:43:37	ga_ls8c_ard_3-0-0_094080_2014-10-11_final
2014-10-11 11:22:06	ga_ls8c_ard_3-0-0_110079_2014-10-11_final
2014-10-11 11:22:30	ga_ls8c_ard_3-0-0_110080_2014-10-11_final
2014-10-12 10:26:53	ga_ls8c_ard_3-0-0_101080_2014-10-12_final
2014-12-07 09:36:59	ga_ls8c_ard_3-0-0_093079_2014-12-07_final
2014-12-07 09:37:23	ga_ls8c_ard_3-0-0_093080_2014-12-07_final
2014-12-07 11:16:16	ga_ls8c_ard_3-0-0_109080_2014-12-07_final
2014-12-08 10:20:38	ga_ls8c_ard_3-0-0_100080_2014-12-08_final
2014-12-09 09:24:36	ga_ls8c_ard_3-0-0_091079_2014-12-08_final
2014-12-09 09:24:59	ga_ls8c_ard_3-0-0_091080_2014-12-08_final
2014-12-09 11:03:52	ga_ls8c_ard_3-0-0_107080_2014-12-09_final
2014-12-10 10:08:14	ga_ls8c_ard_3-0-0_098080_2014-12-10_final
2014-12-10 11:47:07	ga_ls8c_ard_3-0-0_114080_2014-12-10_final
2014-12-11 09:12:36	ga_ls8c_ard_3-0-0_089080_2014-12-10_final
2014-12-11 10:51:29	ga_ls8c_ard_3-0-0_105080_2014-12-11_final
2014-12-12 09:55:51	ga_ls8c_ard_3-0-0_096080_2014-12-12_final
2014-12-12 11:34:20	ga_ls8c_ard_3-0-0_112079_2014-12-12_final
2014-12-12 11:34:44	ga_ls8c_ard_3-0-0_112080_2014-12-12_final
2015-11-24 09:36:59	ga_ls8c_ard_3-0-0_093079_2015-11-24_final
2015-11-24 09:37:23	ga_ls8c_ard_3-0-0_093080_2015-11-24_final
2015-11-26 09:25:02	ga_ls8c_ard_3-0-0_091080_2015-11-25_final
2015-11-26 11:03:55	ga_ls8c_ard_3-0-0_107080_2015-11-26_final
2019-03-10 09:24:30	ga_ls8c_ard_3-1-0_091080_2019-03-09_final
2019-03-10 11:03:23	ga_ls8c_ard_3-1-0_107080_2019-03-10_final
2019-03-11 10:07:21	ga_ls8c_ard_3-1-0_098079_2019-03-11_final
2019-03-11 10:07:45	ga_ls8c_ard_3-1-0_098080_2019-03-11_final
2019-03-11 11:46:38	ga_ls8c_ard_3-1-0_114080_2019-03-11_final
2019-03-12 09:12:08	ga_ls8c_ard_3-1-0_089080_2019-03-11_final
2019-03-12 10:51:01	ga_ls8c_ard_3-1-0_105080_2019-03-12_final
2019-03-13 09:55:23	ga_ls8c_ard_3-1-0_096080_2019-03-13_final
2019-03-13 11:34:16	ga_ls8c_ard_3-1-0_112080_2019-03-13_final
2019-04-08 10:32:22	ga_ls8c_ard_3-1-0_102080_2019-04-08_final
2019-04-09 09:36:44	ga_ls8c_ard_3-1-0_093080_2019-04-09_final
2019-04-09 11:15:37	ga_ls8c_ard_3-1-0_109080_2019-04-09_final
2019-04-10 10:20:00	ga_ls8c_ard_3-1-0_100080_2019-04-10_final
2019-04-11 09:24:22	ga_ls8c_ard_3-1-0_091080_2019-04-10_final
2019-04-11 11:03:15	ga_ls8c_ard_3-1-0_107080_2019-04-11_final
2019-09-25 09:30:59	ga_ls8c_ard_3-1-0_092079_2019-09-25_final
2019-09-25 09:31:23	ga_ls8c_ard_3-1-0_092080_2019-09-25_final
2019-09-25 11:10:16	ga_ls8c_ard_3-1-0_108080_2019-09-25_final
2019-11-09 10:39:24	ga_ls8c_ard_3-1-0_103080_2019-11-09_final
2019-11-10 09:43:23	ga_ls8c_ard_3-1-0_094079_2019-11-10_final
2019-11-10 09:43:47	ga_ls8c_ard_3-1-0_094080_2019-11-10_final
2019-11-10 11:22:40	ga_ls8c_ard_3-1-0_110080_2019-11-10_final
2019-11-11 10:27:02	ga_ls8c_ard_3-1-0_101080_2019-11-11_final
2019-11-12 09:31:25	ga_ls8c_ard_3-1-0_092080_2019-11-12_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