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
2013-05-06 11:40:40	ga_ls8c_ard_3-0-0_113075_2013-05-06_final
2013-06-23 11:42:21	ga_ls8c_ard_3-0-0_113079_2013-06-23_final
2013-09-11 11:41:15	ga_ls8c_ard_3-0-0_113076_2013-09-11_final
2013-09-27 11:42:18	ga_ls8c_ard_3-0-0_113079_2013-09-27_final
2014-03-31 11:34:29	ga_ls8c_ard_3-0-0_112079_2014-03-31_final
2014-04-07 11:40:11	ga_ls8c_ard_3-0-0_113078_2014-04-07_final
2014-07-12 11:39:54	ga_ls8c_ard_3-0-0_113078_2014-07-12_final
2014-07-12 11:40:18	ga_ls8c_ard_3-0-0_113079_2014-07-12_final
2014-07-19 11:46:54	ga_ls8c_ard_3-0-0_114080_2014-07-19_final
2014-07-28 11:40:22	ga_ls8c_ard_3-0-0_113079_2014-07-28_final
2014-09-30 11:39:23	ga_ls8c_ard_3-0-0_113076_2014-09-30_final
2015-01-04 11:40:29	ga_ls8c_ard_3-0-0_113079_2015-01-04_final
2015-01-20 11:40:25	ga_ls8c_ard_3-0-0_113079_2015-01-20_final
2015-04-10 11:39:01	ga_ls8c_ard_3-0-0_113077_2015-04-10_final
2015-04-19 11:33:38	ga_ls8c_ard_3-0-0_112079_2015-04-19_final
2015-10-08 11:58:12	ga_ls8c_ard_3-0-0_116077_2015-10-08_final
2016-03-27 11:38:57	ga_ls8c_ard_3-0-0_113076_2016-03-27_final
2016-09-12 11:34:29	ga_ls8c_ard_3-0-0_112079_2016-09-12_final
2016-09-24 11:58:25	ga_ls8c_ard_3-0-0_116077_2016-09-24_final
2017-05-01 11:38:56	ga_ls8c_ard_3-0-0_113077_2017-05-01_final
2017-07-29 11:33:48	ga_ls8c_ard_3-0-0_112078_2017-07-29_final
2017-09-11 11:58:18	ga_ls8c_ard_3-0-0_116077_2017-09-11_final
2017-10-01 11:34:06	ga_ls8c_ard_3-0-0_112078_2017-10-01_final
2017-12-18 11:47:36	ga_ls8c_ard_3-0-0_114081_2017-12-18_final
2018-04-11 11:33:37	ga_ls8c_ard_3-0-0_112079_2018-04-11_final
2018-05-20 11:38:12	ga_ls8c_ard_3-0-0_113076_2018-05-20_final
2019-03-29 11:33:25	ga_ls8c_ard_3-1-0_112078_2019-03-29_final
2019-04-05 11:38:46	ga_ls8c_ard_3-1-0_113076_2019-04-05_final
2019-05-23 11:38:54	ga_ls8c_ard_3-0-0_113076_2019-05-23_final
2019-07-26 11:39:15	ga_ls8c_ard_3-1-0_113076_2019-07-26_final
2019-09-17 11:58:28	ga_ls8c_ard_3-1-0_116077_2019-09-17_final
2019-10-03 11:58:33	ga_ls8c_ard_3-1-0_116077_2019-10-03_final
2019-12-17 10:00:15	ga_ls8c_ard_3-2-0_097075_2019-12-17_final
2019-12-19 09:49:05	ga_ls8c_ard_3-2-0_095078_2019-12-19_final
2020-04-23 11:39:11	ga_ls8c_ard_3-1-0_113077_2020-04-23_final
2020-05-02 11:33:19	ga_ls8c_ard_3-1-0_112078_2020-05-02_final
2020-08-22 11:33:56	ga_ls8c_ard_3-1-0_112078_2020-08-22_final
2020-08-24 09:42:42	ga_ls8c_ard_3-1-0_094078_2020-08-24_final
2020-12-31 10:26:58	ga_ls8c_ard_3-2-0_101080_2020-12-31_final
2021-01-15 11:21:41	ga_ls8c_ard_3-2-0_110078_2021-01-15_final
2021-01-20 10:00:06	ga_ls8c_ard_3-2-0_097075_2021-01-20_final
2021-03-27 09:48:36	ga_ls8c_ard_3-2-0_095078_2021-03-27_final
2021-04-03 09:53:57	ga_ls8c_ard_3-2-0_096076_2021-04-03_final
2021-04-07 11:08:53	ga_ls8c_ard_3-2-0_108078_2021-04-07_final
2021-04-19 09:53:50	ga_ls8c_ard_3-2-0_096076_2021-04-19_final
2021-05-12 09:59:31	ga_ls8c_ard_3-2-0_097075_2021-05-12_final
2021-05-21 09:53:50	ga_ls8c_ard_3-2-0_096076_2021-05-21_final
2021-05-21 11:32:43	ga_ls8c_ard_3-2-0_112076_2021-05-21_final
2021-05-27 10:58:29	ga_ls8c_ard_3-2-0_106083_2021-05-27_final
2021-05-28 10:00:04	ga_ls8c_ard_3-2-0_097076_2021-05-28_final
2021-05-28 11:38:57	ga_ls8c_ard_3-2-0_113076_2021-05-28_final
2021-06-22 11:34:08	ga_ls8c_ard_3-2-0_112079_2021-06-22_final
2021-07-01 09:48:41	ga_ls8c_ard_3-2-0_095078_2021-07-01_final
2021-07-01 11:27:59	ga_ls8c_ard_3-2-0_111079_2021-07-01_final
2021-07-08 11:32:58	ga_ls8c_ard_3-2-0_112076_2021-07-08_final
2021-07-08 11:34:10	ga_ls8c_ard_3-2-0_112079_2021-07-08_final
2021-07-24 11:33:51	ga_ls8c_ard_3-2-0_112078_2021-07-24_final
2021-08-02 11:28:09	ga_ls8c_ard_3-2-0_111079_2021-08-02_final
2021-08-11 09:42:44	ga_ls8c_ard_3-2-0_094078_2021-08-11_final
2021-08-16 10:00:07	ga_ls8c_ard_3-2-0_097075_2021-08-16_final
2021-08-20 09:38:12	ga_ls8c_ard_3-2-0_093082_2021-08-20_final
2021-08-27 11:21:42	ga_ls8c_ard_3-2-0_110078_2021-08-27_final
2021-08-29 11:09:21	ga_ls8c_ard_3-2-0_108078_2021-08-29_final
2021-09-18 10:45:07	ga_ls8c_ard_3-2-0_104079_2021-09-18_final
2021-09-29 10:27:01	ga_ls8c_ard_3-2-0_101080_2021-09-29_final
2021-10-05 09:48:47	ga_ls8c_ard_3-2-0_095077_2021-10-05_final
2021-10-12 11:33:53	ga_ls8c_ard_3-2-0_112077_2021-10-12_final
2021-10-21 09:49:14	ga_ls8c_ard_3-2-0_095078_2021-10-21_final
2021-10-28 09:54:37	ga_ls8c_ard_3-2-0_096076_2021-10-28_final
2021-11-17 11:09:05	ga_ls8c_ard_3-2-0_108077_2021-11-17_final
2021-12-03 11:09:06	ga_ls8c_ard_3-2-0_108077_2021-12-03_final
2021-12-19 11:09:04	ga_ls8c_ard_3-2-1_108077_2021-12-19_final
2021-12-22 10:00:17	ga_ls8c_ard_3-2-1_097075_2021-12-22_final
2022-01-02 09:42:52	ga_ls8c_ard_3-2-1_094078_2022-01-02_final
2022-01-07 10:00:12	ga_ls8c_ard_3-2-1_097075_2022-01-07_final
2022-01-25 09:48:57	ga_ls8c_ard_3-2-1_095078_2022-01-25_final
2022-02-05 11:09:16	ga_ls8c_ard_3-2-1_108078_2022-02-05_final
2022-02-21 11:08:46	ga_ls8c_ard_3-2-1_108077_2022-02-21_final
2022-03-07 09:42:37	ga_ls8c_ard_3-2-1_094078_2022-03-07_final
2022-03-12 10:00:19	ga_ls8c_ard_3-2-1_097076_2022-03-12_final
2022-03-21 09:54:03	ga_ls8c_ard_3-2-1_096076_2022-03-21_final
2022-03-23 09:42:27	ga_ls8c_ard_3-2-1_094078_2022-03-23_final
2022-03-30 09:48:32	ga_ls8c_ard_3-2-1_095078_2022-03-30_final
2022-04-10 11:08:33	ga_ls8c_ard_3-2-1_108077_2022-04-10_final
2022-04-15 09:48:38	ga_ls8c_ard_3-2-1_095078_2022-04-15_final
2022-05-17 09:48:20	ga_ls8c_ard_3-2-1_095077_2022-05-17_final
2022-05-26 09:42:57	ga_ls8c_ard_3-2-1_094079_2022-05-26_final
2022-05-26 11:24:13	ga_ls8c_ard_3-2-1_110085_2022-05-26_final
2022-06-04 11:16:09	ga_ls8c_ard_3-2-1_109080_2022-06-04_final
2022-07-20 09:49:05	ga_ls8c_ard_3-2-1_095078_2022-07-20_final
2022-08-19 11:39:47	ga_ls8c_ard_3-2-1_113076_2022-08-19_final
2022-09-13 11:34:53	ga_ls8c_ard_3-2-1_112079_2022-09-13_final
2022-09-20 09:58:13	ga_ls8c_ard_3-2-1_097069_2022-09-20_final
2022-10-15 11:33:58	ga_ls8c_ard_3-2-1_112077_2022-10-15_final
2022-10-19 11:09:18	ga_ls8c_ard_3-2-1_108077_2022-10-19_final
2022-11-04 11:09:23	ga_ls8c_ard_3-2-1_108077_2022-11-04_final
2023-01-07 11:09:09	ga_ls8c_ard_3-2-1_108077_2023-01-07_final
2023-01-22 10:27:01	ga_ls8c_ard_3-2-1_101080_2023-01-22_final
2023-01-23 11:09:05	ga_ls8c_ard_3-2-1_108077_2023-01-23_final
2023-02-08 11:09:06	ga_ls8c_ard_3-2-1_108077_2023-02-08_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