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

81 results

Time (local)	Label
2013-03-28 10:55:15	ga_ls8c_ard_3-0-0_105079_2013-03-28_final
2013-04-29 11:35:14	ga_ls8c_ard_3-0-0_112077_2013-04-29_final
2013-07-02 09:55:45	ga_ls8c_ard_3-0-0_096075_2013-07-02_final
2013-07-20 09:44:11	ga_ls8c_ard_3-0-0_094077_2013-07-20_final
2013-07-24 10:58:45	ga_ls8c_ard_3-0-0_106078_2013-07-24_final
2013-07-29 11:17:19	ga_ls8c_ard_3-0-0_109078_2013-07-29_final
2013-07-31 09:26:04	ga_ls8c_ard_3-0-0_091078_2013-07-30_final
2013-07-31 11:04:10	ga_ls8c_ard_3-0-0_107076_2013-07-31_final
2013-08-03 11:35:28	ga_ls8c_ard_3-0-0_112077_2013-08-03_final
2013-08-19 11:35:29	ga_ls8c_ard_3-0-0_112077_2013-08-19_final
2013-08-23 09:33:30	ga_ls8c_ard_3-0-0_092081_2013-08-23_final
2013-08-23 11:11:35	ga_ls8c_ard_3-0-0_108079_2013-08-23_final
2013-08-25 09:21:08	ga_ls8c_ard_3-0-0_090081_2013-08-24_final
2013-08-30 09:38:05	ga_ls8c_ard_3-0-0_093077_2013-08-30_final
2013-09-01 11:05:00	ga_ls8c_ard_3-0-0_107078_2013-09-01_final
2013-09-02 10:10:59	ga_ls8c_ard_3-0-0_098082_2013-09-02_final
2013-09-15 09:41:13	ga_ls8c_ard_3-0-0_093085_2013-09-15_final
2013-09-27 10:05:01	ga_ls8c_ard_3-0-0_097083_2013-09-27_final
2013-10-26 11:07:18	ga_ls8c_ard_3-0-0_108069_2013-10-26_final
2013-11-10 10:28:25	ga_ls8c_ard_3-0-0_101080_2013-11-10_final
2014-02-28 10:39:18	ga_ls8c_ard_3-0-0_103079_2014-02-28_final
2014-03-10 09:38:11	ga_ls8c_ard_3-0-0_093081_2014-03-10_final
2014-03-16 10:39:08	ga_ls8c_ard_3-0-0_103079_2014-03-16_final
2014-04-09 09:49:18	ga_ls8c_ard_3-0-0_095079_2014-04-09_final
2014-04-17 10:36:10	ga_ls8c_ard_3-0-0_103073_2014-04-17_final
2014-04-17 10:36:34	ga_ls8c_ard_3-0-0_103074_2014-04-17_final
2014-04-20 11:09:51	ga_ls8c_ard_3-0-0_108080_2014-04-20_final
2014-04-25 09:47:51	ga_ls8c_ard_3-0-0_095076_2014-04-25_final
2014-05-04 09:41:30	ga_ls8c_ard_3-0-0_094076_2014-05-04_final
2014-05-04 09:41:53	ga_ls8c_ard_3-0-0_094077_2014-05-04_final
2014-05-11 11:27:40	ga_ls8c_ard_3-0-0_111079_2014-05-11_final
2014-05-18 09:53:42	ga_ls8c_ard_3-0-0_096076_2014-05-18_final
2014-05-28 10:32:01	ga_ls8c_ard_3-0-0_102079_2014-05-28_final
2014-06-05 11:21:09	ga_ls8c_ard_3-0-0_110078_2014-06-05_final
2014-06-19 11:33:58	ga_ls8c_ard_3-0-0_112079_2014-06-19_final
2014-06-28 11:24:37	ga_ls8c_ard_3-0-0_111071_2014-06-28_final
2014-08-03 11:03:21	ga_ls8c_ard_3-0-0_107079_2014-08-03_final
2014-08-07 10:39:04	ga_ls8c_ard_3-0-0_103080_2014-08-07_final
2014-08-10 11:09:11	ga_ls8c_ard_3-0-0_108078_2014-08-10_final
2014-08-21 10:51:52	ga_ls8c_ard_3-0-0_105081_2014-08-21_final
2014-08-22 11:33:32	ga_ls8c_ard_3-0-0_112077_2014-08-22_final
2014-08-24 09:43:54	ga_ls8c_ard_3-0-0_094081_2014-08-24_final
2014-08-26 11:09:13	ga_ls8c_ard_3-0-0_108078_2014-08-26_final
2014-08-28 10:56:27	ga_ls8c_ard_3-0-0_106077_2014-08-28_final
2014-08-30 10:43:42	ga_ls8c_ard_3-0-0_104076_2014-08-30_final
2014-09-06 10:51:56	ga_ls8c_ard_3-0-0_105081_2014-09-06_final
2014-09-07 09:56:19	ga_ls8c_ard_3-0-0_096081_2014-09-07_final
2014-09-13 10:56:32	ga_ls8c_ard_3-0-0_106077_2014-09-13_final
2014-09-29 10:56:31	ga_ls8c_ard_3-0-0_106077_2014-09-29_final
2014-10-08 10:52:00	ga_ls8c_ard_3-0-0_105081_2014-10-08_final
2014-10-11 09:40:26	ga_ls8c_ard_3-0-0_094072_2014-10-11_final
2014-10-15 10:58:12	ga_ls8c_ard_3-0-0_106081_2014-10-15_final
2014-10-17 10:45:03	ga_ls8c_ard_3-0-0_104079_2014-10-17_final
2014-10-24 10:52:01	ga_ls8c_ard_3-0-0_105081_2014-10-24_final
2014-11-09 10:52:02	ga_ls8c_ard_3-0-0_105081_2014-11-09_final
2015-01-05 10:45:40	ga_ls8c_ard_3-0-0_104081_2015-01-05_final
2015-02-14 09:55:34	ga_ls8c_ard_3-0-0_096080_2015-02-14_final
2015-02-21 09:56:59	ga_ls8c_ard_3-0-0_097068_2015-02-21_final
2015-02-21 10:02:10	ga_ls8c_ard_3-0-0_097081_2015-02-21_final
2015-04-11 10:43:00	ga_ls8c_ard_3-0-0_104076_2015-04-11_final
2015-09-12 11:23:48	ga_ls8c_ard_3-0-0_110084_2015-09-12_final
2016-02-14 11:05:18	ga_ls8c_ard_3-0-0_107084_2016-02-14_final
2016-04-21 11:33:00	ga_ls8c_ard_3-0-0_112077_2016-04-21_final
2016-08-23 10:19:50	ga_ls8c_ard_3-0-0_100078_2016-08-23_final
2016-09-12 11:30:30	ga_ls8c_ard_3-0-0_112069_2016-09-12_final
2017-10-19 09:41:43	ga_ls8c_ard_3-0-0_094075_2017-10-19_final
2017-11-02 11:32:10	ga_ls8c_ard_3-0-0_112073_2017-11-02_final
2018-08-17 11:32:55	ga_ls8c_ard_3-0-0_112077_2018-08-17_final
2019-05-25 09:46:52	ga_ls8c_ard_3-0-0_095074_2019-05-25_final
2019-06-08 11:40:13	ga_ls8c_ard_3-0-0_113079_2019-06-08_final
2019-10-20 11:04:33	ga_ls8c_ard_3-1-0_107081_2019-10-20_final
2020-01-27 09:52:18	ga_ls8c_ard_3-1-0_096071_2020-01-27_final
2021-06-15 08:10:33	ga_ls8c_ard_3-2-1_079080_2021-06-14_final
2021-06-24 09:43:17	ga_ls8c_ard_3-2-0_094080_2021-06-24_final
2021-07-08 11:31:46	ga_ls8c_ard_3-2-0_112073_2021-07-08_final
2021-08-21 08:42:35	ga_ls8c_ard_3-2-1_084082_2021-08-20_final
2021-10-25 09:24:55	ga_ls8c_ard_3-2-0_091079_2021-10-24_final
2022-01-27 09:34:11	ga_ls8c_ard_3-2-1_093072_2022-01-27_final
2022-03-26 10:09:43	ga_ls8c_ard_3-2-1_099069_2022-03-26_final
2022-10-08 08:11:17	ga_ls8c_ard_3-2-1_079080_2022-10-07_final
2023-03-17 08:10:39	ga_ls8c_ard_3-2-1_079080_2023-03-16_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