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

56 results

Time (local)	Label
2013-04-01 10:09:15	ga_ls8c_ard_3-0-0_099071_2013-04-01_final
2013-08-23 09:33:54	ga_ls8c_ard_3-0-0_092082_2013-08-23_final
2014-01-11 10:40:41	ga_ls8c_ard_3-0-0_103081_2014-01-11_final
2014-05-09 09:57:11	ga_ls8c_ard_3-0-0_097069_2014-05-09_final
2014-05-27 09:51:08	ga_ls8c_ard_3-0-0_095085_2014-05-27_final
2014-10-12 10:28:05	ga_ls8c_ard_3-0-0_101083_2014-10-12_final
2015-07-10 09:39:43	ga_ls8c_ard_3-0-0_094072_2015-07-10_final
2015-07-24 11:31:52	ga_ls8c_ard_3-0-0_112074_2015-07-24_final
2015-09-19 09:51:57	ga_ls8c_ard_3-0-0_095086_2015-09-19_final
2016-06-10 11:17:36	ga_ls8c_ard_3-0-0_110069_2016-06-10_final
2016-08-20 11:25:24	ga_ls8c_ard_3-0-0_111072_2016-08-20_final
2016-09-09 09:22:42	ga_ls8c_ard_3-0-0_091074_2016-09-08_final
2016-10-22 10:46:22	ga_ls8c_ard_3-0-0_104082_2016-10-22_final
2016-12-17 09:57:38	ga_ls8c_ard_3-0-0_096084_2016-12-17_final
2017-06-25 10:07:06	ga_ls8c_ard_3-0-0_098078_2017-06-25_final
2017-11-25 09:57:45	ga_ls8c_ard_3-0-0_097069_2017-11-25_final
2018-04-11 11:30:02	ga_ls8c_ard_3-0-0_112070_2018-04-11_final
2018-06-09 09:33:15	ga_ls8c_ard_3-0-0_093073_2018-06-09_final
2018-06-27 09:20:42	ga_ls8c_ard_3-0-0_091072_2018-06-26_final
2018-07-05 11:50:18	ga_ls8c_ard_3-0-0_115075_2018-07-05_final
2018-07-06 09:17:24	ga_ls8c_ard_3-0-0_090079_2018-07-05_final
2018-07-30 11:46:42	ga_ls8c_ard_3-0-0_114081_2018-07-30_final
2018-12-22 09:13:35	ga_ls8c_ard_3-0-0_089083_2018-12-21_final
2019-04-28 10:03:09	ga_ls8c_ard_3-0-0_098069_2019-04-28_final
2019-06-16 09:12:21	ga_ls8c_ard_3-1-0_089080_2019-06-15_final
2019-07-17 10:02:54	ga_ls8c_ard_3-1-0_098067_2019-07-17_final
2019-08-04 11:29:33	ga_ls8c_ard_3-1-0_112067_2019-08-04_final
2019-08-30 10:33:27	ga_ls8c_ard_3-1-0_102081_2019-08-30_final
2019-10-02 11:14:29	ga_ls8c_ard_3-1-0_109075_2019-10-02_final
2020-03-28 09:21:49	ga_ls8c_ard_3-1-0_091073_2020-03-27_final
2020-04-29 09:26:21	ga_ls8c_ard_3-1-0_091085_2020-04-28_final
2020-07-10 10:10:10	ga_ls8c_ard_3-1-0_099070_2020-07-10_final
2020-12-03 09:57:55	ga_ls8c_ard_3-1-0_097069_2020-12-03_final
2020-12-21 11:24:49	ga_ls8c_ard_3-2-0_111070_2020-12-21_final
2021-01-26 11:01:06	ga_ls8c_ard_3-2-0_107073_2021-01-26_final
2021-01-28 10:49:56	ga_ls8c_ard_3-2-0_105076_2021-01-28_final
2021-03-16 10:05:35	ga_ls8c_ard_3-2-0_098074_2021-03-16_final
2021-03-18 11:29:18	ga_ls8c_ard_3-2-0_112067_2021-03-18_final
2021-06-25 10:27:45	ga_ls8c_ard_3-2-0_101083_2021-06-25_final
2021-06-27 10:10:13	ga_ls8c_ard_3-2-0_099070_2021-06-27_final
2021-09-22 10:20:00	ga_ls8c_ard_3-2-0_100078_2021-09-22_final
2021-11-18 10:11:03	ga_ls8c_ard_3-2-0_099071_2021-11-18_final
2021-12-06 09:57:56	ga_ls8c_ard_3-2-1_097069_2021-12-06_final
2021-12-07 10:46:23	ga_ls8c_ard_3-2-1_104082_2021-12-07_final
2022-03-30 09:52:08	ga_ls8c_ard_3-2-1_095087_2022-03-30_final
2022-05-23 10:47:21	ga_ls8c_ard_3-2-1_105070_2022-05-23_final
2022-06-15 09:22:04	ga_ls8c_ard_3-2-1_090088_2022-06-14_final
2022-06-30 10:13:22	ga_ls8c_ard_3-2-1_099077_2022-06-30_final
2023-02-09 10:14:16	ga_ls8c_ard_3-2-1_099079_2023-02-09_final
2023-04-08 09:15:44	ga_ls8c_ard_3-2-1_089089_2023-04-07_final
2023-04-30 11:51:53	ga_ls8c_ard_3-2-1_115078_2023-04-30_final
2023-07-03 10:09:10	ga_ls8c_ard_3-2-1_099068_2023-07-03_final
2023-07-10 10:21:47	ga_ls8c_ard_3-2-1_100084_2023-07-10_final
2023-10-09 11:37:48	ga_ls8c_ard_3-2-1_113072_2023-10-09_final
2023-10-17 09:12:16	ga_ls8c_ard_3-2-1_089079_2023-10-16_final
2023-11-05 11:18:06	ga_ls8c_ard_3-2-1_110069_2023-11-05_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