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
2013-03-29 11:33:02	ga_ls8c_ard_3-0-0_112077_2013-03-29_final
2013-04-10 11:09:52	ga_ls8c_ard_3-0-0_108080_2013-04-10_final
2013-04-20 11:41:02	ga_ls8c_ard_3-0-0_113076_2013-04-20_final
2013-06-18 11:24:15	ga_ls8c_ard_3-0-0_110080_2013-06-18_final
2013-06-22 10:58:41	ga_ls8c_ard_3-0-0_106078_2013-06-22_final
2013-06-23 11:41:58	ga_ls8c_ard_3-0-0_113078_2013-06-23_final
2013-06-25 09:50:20	ga_ls8c_ard_3-0-0_095077_2013-06-25_final
2013-07-06 11:11:07	ga_ls8c_ard_3-0-0_108078_2013-07-06_final
2013-07-11 09:50:23	ga_ls8c_ard_3-0-0_095077_2013-07-11_final
2013-07-27 09:50:23	ga_ls8c_ard_3-0-0_095077_2013-07-27_final
2013-07-27 09:50:47	ga_ls8c_ard_3-0-0_095078_2013-07-27_final
2013-07-31 11:04:34	ga_ls8c_ard_3-0-0_107077_2013-07-31_final
2013-08-14 11:17:43	ga_ls8c_ard_3-0-0_109079_2013-08-14_final
2013-08-19 11:35:05	ga_ls8c_ard_3-0-0_112076_2013-08-19_final
2013-08-25 10:58:50	ga_ls8c_ard_3-0-0_106078_2013-08-25_final
2013-09-01 11:04:12	ga_ls8c_ard_3-0-0_107076_2013-09-01_final
2013-10-22 11:36:51	ga_ls8c_ard_3-0-0_112081_2013-10-22_final
2013-10-29 11:44:09	ga_ls8c_ard_3-0-0_113084_2013-10-29_final
2013-11-11 11:10:28	ga_ls8c_ard_3-0-0_108077_2013-11-11_final
2013-11-27 11:10:21	ga_ls8c_ard_3-0-0_108077_2013-11-27_final
2014-01-30 11:09:50	ga_ls8c_ard_3-0-0_108077_2014-01-30_final
2014-04-11 11:13:24	ga_ls8c_ard_3-0-0_109073_2014-04-11_final
2014-04-13 11:00:59	ga_ls8c_ard_3-0-0_107073_2014-04-13_final
2014-04-13 11:01:23	ga_ls8c_ard_3-0-0_107074_2014-04-13_final
2014-04-22 10:56:16	ga_ls8c_ard_3-0-0_106077_2014-04-22_final
2014-04-25 09:48:39	ga_ls8c_ard_3-0-0_095078_2014-04-25_final
2014-05-11 09:48:24	ga_ls8c_ard_3-0-0_095078_2014-05-11_final
2014-05-20 11:20:37	ga_ls8c_ard_3-0-0_110077_2014-05-20_final
2014-05-27 09:47:32	ga_ls8c_ard_3-0-0_095076_2014-05-27_final
2014-06-16 11:03:04	ga_ls8c_ard_3-0-0_107079_2014-06-16_final
2014-06-19 11:33:11	ga_ls8c_ard_3-0-0_112077_2014-06-19_final
2014-06-21 11:21:13	ga_ls8c_ard_3-0-0_110078_2014-06-21_final
2014-06-25 10:57:41	ga_ls8c_ard_3-0-0_106081_2014-06-25_final
2014-08-05 10:51:48	ga_ls8c_ard_3-0-0_105081_2014-08-05_final
2014-08-06 11:35:52	ga_ls8c_ard_3-0-0_112083_2014-08-06_final
2014-08-08 11:21:08	ga_ls8c_ard_3-0-0_110077_2014-08-08_final
2014-08-15 09:52:27	ga_ls8c_ard_3-0-0_095087_2014-08-15_final
2014-08-24 11:22:47	ga_ls8c_ard_3-0-0_110081_2014-08-24_final
2014-08-28 10:58:27	ga_ls8c_ard_3-0-0_106082_2014-08-28_final
2014-08-29 11:39:19	ga_ls8c_ard_3-0-0_113076_2014-08-29_final
2014-09-09 11:22:50	ga_ls8c_ard_3-0-0_110081_2014-09-09_final
2014-09-27 11:08:51	ga_ls8c_ard_3-0-0_108077_2014-09-27_final
2014-09-27 11:09:15	ga_ls8c_ard_3-0-0_108078_2014-09-27_final
2014-11-03 09:51:23	ga_ls8c_ard_3-0-0_095084_2014-11-03_final
2015-02-16 09:42:25	ga_ls8c_ard_3-0-0_094078_2015-02-16_final
2015-04-05 09:42:00	ga_ls8c_ard_3-0-0_094078_2015-04-05_final
2015-04-09 10:55:45	ga_ls8c_ard_3-0-0_106077_2015-04-09_final
2015-04-28 09:48:05	ga_ls8c_ard_3-0-0_095078_2015-04-28_final
2015-05-05 11:32:37	ga_ls8c_ard_3-0-0_112077_2015-05-05_final
2015-05-11 10:56:14	ga_ls8c_ard_3-0-0_106079_2015-05-11_final
2015-05-14 09:47:48	ga_ls8c_ard_3-0-0_095078_2015-05-14_final
2015-05-30 09:47:53	ga_ls8c_ard_3-0-0_095078_2015-05-30_final
2015-06-10 11:08:23	ga_ls8c_ard_3-0-0_108078_2015-06-10_final
2015-07-08 11:32:57	ga_ls8c_ard_3-0-0_112077_2015-07-08_final
2015-07-12 11:08:40	ga_ls8c_ard_3-0-0_108078_2015-07-12_final
2015-07-28 11:08:45	ga_ls8c_ard_3-0-0_108078_2015-07-28_final
2015-08-18 09:48:32	ga_ls8c_ard_3-0-0_095078_2015-08-18_final
2015-09-03 09:45:25	ga_ls8c_ard_3-0-0_095070_2015-09-03_final
2015-09-10 11:33:21	ga_ls8c_ard_3-0-0_112077_2015-09-10_final
2015-09-14 11:09:04	ga_ls8c_ard_3-0-0_108078_2015-09-14_final
2015-09-16 10:56:19	ga_ls8c_ard_3-0-0_106077_2015-09-16_final
2015-09-28 09:42:37	ga_ls8c_ard_3-0-0_094078_2015-09-28_final
2015-09-30 11:08:45	ga_ls8c_ard_3-0-0_108077_2015-09-30_final
2015-10-18 10:52:25	ga_ls8c_ard_3-0-0_106067_2015-10-18_final
2015-11-17 11:08:52	ga_ls8c_ard_3-0-0_108077_2015-11-17_final
2016-02-05 11:08:46	ga_ls8c_ard_3-0-0_108077_2016-02-05_final
2016-03-08 11:08:37	ga_ls8c_ard_3-0-0_108077_2016-03-08_final
2016-05-06 10:51:48	ga_ls8c_ard_3-0-0_105082_2016-05-06_final
2016-07-05 11:11:37	ga_ls8c_ard_3-0-0_109069_2016-07-05_final
2016-07-19 09:47:10	ga_ls8c_ard_3-0-0_095074_2016-07-19_final
2016-08-15 11:11:12	ga_ls8c_ard_3-0-0_108083_2016-08-15_final
2016-08-27 11:32:01	ga_ls8c_ard_3-0-0_112073_2016-08-27_final
2016-08-27 11:33:37	ga_ls8c_ard_3-0-0_112077_2016-08-27_final
2016-09-12 11:33:41	ga_ls8c_ard_3-0-0_112077_2016-09-12_final
2016-09-30 11:18:32	ga_ls8c_ard_3-0-0_110070_2016-09-30_final
2017-05-26 11:33:01	ga_ls8c_ard_3-0-0_112077_2017-05-26_final
2017-07-13 11:33:16	ga_ls8c_ard_3-0-0_112077_2017-07-13_final
2017-08-14 11:33:30	ga_ls8c_ard_3-0-0_112077_2017-08-14_final
2017-08-30 11:33:34	ga_ls8c_ard_3-0-0_112077_2017-08-30_final
2017-09-15 11:33:34	ga_ls8c_ard_3-0-0_112077_2017-09-15_final
2018-05-13 11:32:30	ga_ls8c_ard_3-0-0_112077_2018-05-13_final
2018-05-29 11:32:17	ga_ls8c_ard_3-0-0_112077_2018-05-29_final
2018-06-16 09:42:43	ga_ls8c_ard_3-0-0_094081_2018-06-16_final
2018-06-30 11:32:31	ga_ls8c_ard_3-0-0_112077_2018-06-30_final
2018-09-18 11:33:06	ga_ls8c_ard_3-0-0_112077_2018-09-18_final
2018-10-29 09:44:19	ga_ls8c_ard_3-0-0_095067_2018-10-29_final
2018-12-18 11:17:11	ga_ls8c_ard_3-0-0_109083_2018-12-18_final
2019-03-17 11:08:20	ga_ls8c_ard_3-1-0_108077_2019-03-17_final
2019-03-22 11:27:39	ga_ls8c_ard_3-1-0_111079_2019-03-22_final
2019-05-16 11:33:03	ga_ls8c_ard_3-0-0_112077_2019-05-16_final
2019-07-02 10:51:42	ga_ls8c_ard_3-1-0_105081_2019-07-02_final
2019-09-05 11:33:40	ga_ls8c_ard_3-1-0_112077_2019-09-05_final
2021-04-19 11:31:32	ga_ls8c_ard_3-2-0_112073_2021-04-19_final
2021-05-30 11:25:49	ga_ls8c_ard_3-2-0_111074_2021-05-30_final
2021-08-25 11:33:39	ga_ls8c_ard_3-2-0_112077_2021-08-25_final
2021-09-26 11:30:12	ga_ls8c_ard_3-2-0_112068_2021-09-26_final
2022-04-06 11:33:14	ga_ls8c_ard_3-2-1_112077_2022-04-06_final
2022-08-12 11:33:58	ga_ls8c_ard_3-2-1_112077_2022-08-12_final
2022-08-28 11:34:00	ga_ls8c_ard_3-2-1_112077_2022-08-28_final
2022-09-20 09:58:13	ga_ls8c_ard_3-2-1_097069_2022-09-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years