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
2013-11-27 09:32:40	ga_ls8c_ard_3-0-0_092080_2013-11-27_final
2013-11-27 11:11:33	ga_ls8c_ard_3-0-0_108080_2013-11-27_final
2013-11-28 10:15:56	ga_ls8c_ard_3-0-0_099080_2013-11-28_final
2013-11-28 11:54:49	ga_ls8c_ard_3-0-0_115080_2013-11-28_final
2013-11-29 09:20:19	ga_ls8c_ard_3-0-0_090080_2013-11-28_final
2013-11-29 10:59:12	ga_ls8c_ard_3-0-0_106080_2013-11-29_final
2013-11-30 10:03:35	ga_ls8c_ard_3-0-0_097080_2013-11-30_final
2013-11-30 11:42:28	ga_ls8c_ard_3-0-0_113080_2013-11-30_final
2013-12-01 10:46:50	ga_ls8c_ard_3-0-0_104080_2013-12-01_final
2014-03-10 09:37:47	ga_ls8c_ard_3-0-0_093080_2014-03-10_final
2014-03-10 11:16:40	ga_ls8c_ard_3-0-0_109080_2014-03-10_final
2014-03-11 10:21:03	ga_ls8c_ard_3-0-0_100080_2014-03-11_final
2014-03-12 09:25:25	ga_ls8c_ard_3-0-0_091080_2014-03-11_final
2014-03-12 11:04:18	ga_ls8c_ard_3-0-0_107080_2014-03-12_final
2014-03-13 10:08:40	ga_ls8c_ard_3-0-0_098080_2014-03-13_final
2014-03-13 11:47:33	ga_ls8c_ard_3-0-0_114080_2014-03-13_final
2014-03-14 09:13:02	ga_ls8c_ard_3-0-0_089080_2014-03-13_final
2014-06-10 10:01:38	ga_ls8c_ard_3-0-0_097080_2014-06-10_final
2014-06-10 11:40:31	ga_ls8c_ard_3-0-0_113080_2014-06-10_final
2014-06-11 09:06:01	ga_ls8c_ard_3-0-0_088080_2014-06-10_final
2014-06-11 10:44:54	ga_ls8c_ard_3-0-0_104080_2014-06-11_final
2014-06-12 09:49:17	ga_ls8c_ard_3-0-0_095080_2014-06-12_final
2014-06-12 11:28:10	ga_ls8c_ard_3-0-0_111080_2014-06-12_final
2014-06-13 10:32:33	ga_ls8c_ard_3-1-0_102080_2014-06-13_final
2016-10-21 10:02:18	ga_ls8c_ard_3-0-0_097080_2016-10-21_final
2016-10-21 11:41:11	ga_ls8c_ard_3-0-0_113080_2016-10-21_final
2016-10-22 09:06:41	ga_ls8c_ard_3-0-0_088080_2016-10-21_final
2016-10-22 10:45:34	ga_ls8c_ard_3-0-0_104080_2016-10-22_final
2016-10-23 09:49:57	ga_ls8c_ard_3-0-0_095080_2016-10-23_final
2016-10-23 11:28:50	ga_ls8c_ard_3-0-0_111080_2016-10-23_final
2016-10-24 10:33:12	ga_ls8c_ard_3-1-0_102080_2016-10-24_final
2016-10-28 10:08:29	ga_ls8c_ard_3-0-0_098080_2016-10-28_final
2016-10-28 11:47:22	ga_ls8c_ard_3-0-0_114080_2016-10-28_final
2016-10-29 09:12:52	ga_ls8c_ard_3-0-0_089080_2016-10-28_final
2016-10-29 10:51:45	ga_ls8c_ard_3-0-0_105080_2016-10-29_final
2016-10-30 09:56:08	ga_ls8c_ard_3-0-0_096080_2016-10-30_final
2016-10-30 11:35:01	ga_ls8c_ard_3-0-0_112080_2016-10-30_final
2016-10-31 10:39:23	ga_ls8c_ard_3-0-0_103080_2016-10-31_final
2016-12-24 10:02:11	ga_ls8c_ard_3-0-0_097080_2016-12-24_final
2016-12-24 11:41:05	ga_ls8c_ard_3-0-0_113080_2016-12-24_final
2016-12-25 09:06:34	ga_ls8c_ard_3-0-0_088080_2016-12-24_final
2016-12-25 10:45:27	ga_ls8c_ard_3-0-0_104080_2016-12-25_final
2016-12-26 08:10:57	ga_ls8c_ard_3-2-1_079080_2016-12-25_final
2016-12-26 09:49:50	ga_ls8c_ard_3-0-0_095080_2016-12-26_final
2016-12-26 11:28:43	ga_ls8c_ard_3-0-0_111080_2016-12-26_final
2016-12-27 10:33:05	ga_ls8c_ard_3-0-0_102080_2016-12-27_final
2017-02-26 10:01:50	ga_ls8c_ard_3-0-0_097080_2017-02-26_final
2017-02-26 11:40:43	ga_ls8c_ard_3-0-0_113080_2017-02-26_final
2017-02-27 09:06:12	ga_ls8c_ard_3-0-0_088080_2017-02-26_final
2017-02-27 10:45:05	ga_ls8c_ard_3-0-0_104080_2017-02-27_final
2017-02-28 09:49:27	ga_ls8c_ard_3-0-0_095080_2017-02-28_final
2017-02-28 11:28:21	ga_ls8c_ard_3-0-0_111080_2017-02-28_final
2017-03-01 10:32:43	ga_ls8c_ard_3-0-0_102080_2017-03-01_final
2017-03-06 10:51:13	ga_ls8c_ard_3-0-0_105080_2017-03-06_final
2017-03-07 09:55:35	ga_ls8c_ard_3-0-0_096080_2017-03-07_final
2017-03-07 11:34:28	ga_ls8c_ard_3-0-0_112080_2017-03-07_final
2020-06-01 10:07:38	ga_ls8c_ard_3-1-0_098080_2020-06-01_final
2020-06-01 11:46:31	ga_ls8c_ard_3-1-0_114080_2020-06-01_final
2020-06-02 09:12:01	ga_ls8c_ard_3-1-0_089080_2020-06-01_final
2020-06-02 10:50:54	ga_ls8c_ard_3-1-0_105080_2020-06-02_final
2020-06-03 09:54:54	ga_ls8c_ard_3-1-0_096079_2020-06-03_final
2020-06-03 09:55:18	ga_ls8c_ard_3-1-0_096080_2020-06-03_final
2020-06-03 11:34:11	ga_ls8c_ard_3-1-0_112080_2020-06-03_final
2020-06-17 10:07:48	ga_ls8c_ard_3-1-0_098080_2020-06-17_final
2020-06-17 11:46:41	ga_ls8c_ard_3-1-0_114080_2020-06-17_final
2020-06-18 09:11:47	ga_ls8c_ard_3-1-0_089079_2020-06-17_final
2020-06-18 09:12:11	ga_ls8c_ard_3-1-0_089080_2020-06-17_final
2020-06-18 10:51:04	ga_ls8c_ard_3-1-0_105080_2020-06-18_final
2020-06-19 09:55:27	ga_ls8c_ard_3-1-0_096080_2020-06-19_final
2020-06-19 11:34:20	ga_ls8c_ard_3-1-0_112080_2020-06-19_final
2020-07-23 09:43:20	ga_ls8c_ard_3-1-0_094080_2020-07-23_final
2020-07-23 11:22:13	ga_ls8c_ard_3-1-0_110080_2020-07-23_final
2020-07-24 10:26:36	ga_ls8c_ard_3-1-0_101080_2020-07-24_final
2020-07-25 09:30:35	ga_ls8c_ard_3-1-0_092079_2020-07-25_final
2020-07-25 09:30:58	ga_ls8c_ard_3-1-0_092080_2020-07-25_final
2020-07-25 11:09:52	ga_ls8c_ard_3-1-0_108080_2020-07-25_final
2020-08-01 09:37:11	ga_ls8c_ard_3-1-0_093080_2020-08-01_final
2020-08-01 11:16:04	ga_ls8c_ard_3-1-0_109080_2020-08-01_final
2020-08-02 10:20:03	ga_ls8c_ard_3-1-0_100079_2020-08-02_final
2020-08-02 10:20:27	ga_ls8c_ard_3-1-0_100080_2020-08-02_final
2020-08-03 09:24:50	ga_ls8c_ard_3-1-0_091080_2020-08-02_final
2020-08-03 11:03:43	ga_ls8c_ard_3-1-0_107080_2020-08-03_final
2020-08-09 10:26:39	ga_ls8c_ard_3-1-0_101080_2020-08-09_final
2020-08-10 09:30:38	ga_ls8c_ard_3-1-0_092079_2020-08-10_final
2020-08-10 09:31:02	ga_ls8c_ard_3-1-0_092080_2020-08-10_final
2020-08-10 11:09:55	ga_ls8c_ard_3-1-0_108080_2020-08-10_final
2020-08-11 10:14:17	ga_ls8c_ard_3-1-0_099080_2020-08-11_final
2020-08-11 11:53:11	ga_ls8c_ard_3-1-0_115080_2020-08-11_final
2020-08-12 09:18:40	ga_ls8c_ard_3-1-0_090080_2020-08-11_final
2020-08-12 10:57:33	ga_ls8c_ard_3-1-0_106080_2020-08-12_final
2020-08-13 10:01:57	ga_ls8c_ard_3-1-0_097080_2020-08-13_final
2020-08-13 11:40:50	ga_ls8c_ard_3-1-0_113080_2020-08-13_final
2020-08-20 11:47:05	ga_ls8c_ard_3-1-0_114080_2020-08-20_final
2020-08-21 09:12:35	ga_ls8c_ard_3-1-0_089080_2020-08-20_final
2020-08-21 10:51:28	ga_ls8c_ard_3-1-0_105080_2020-08-21_final
2020-08-22 09:55:51	ga_ls8c_ard_3-1-0_096080_2020-08-22_final
2020-08-22 11:34:44	ga_ls8c_ard_3-1-0_112080_2020-08-22_final
2020-08-26 09:31:10	ga_ls8c_ard_3-1-0_092080_2020-08-26_final
2020-08-26 11:10:03	ga_ls8c_ard_3-1-0_108080_2020-08-26_final
2020-08-27 10:14:26	ga_ls8c_ard_3-1-0_099080_2020-08-27_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