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
2013-05-28 11:04:13	ga_ls8c_ard_3-0-0_107076_2013-05-28_final
2013-08-11 10:47:14	ga_ls8c_ard_3-0-0_104080_2013-08-11_final
2014-05-15 11:04:06	ga_ls8c_ard_3-0-0_107082_2014-05-15_final
2014-05-24 10:58:16	ga_ls8c_ard_3-0-0_106083_2014-05-24_final
2014-06-27 10:44:56	ga_ls8c_ard_3-0-0_104080_2014-06-27_final
2014-08-16 10:32:55	ga_ls8c_ard_3-0-0_102080_2014-08-16_final
2014-09-09 11:18:03	ga_ls8c_ard_3-0-0_110069_2014-09-09_final
2014-09-09 11:18:27	ga_ls8c_ard_3-0-0_110070_2014-09-09_final
2014-11-08 11:47:39	ga_ls8c_ard_3-0-0_114081_2014-11-08_final
2015-02-07 11:23:36	ga_ls8c_ard_3-0-0_111068_2015-02-07_final
2015-02-18 11:07:21	ga_ls8c_ard_3-0-0_108074_2015-02-18_final
2015-04-27 10:44:31	ga_ls8c_ard_3-0-0_104080_2015-04-27_final
2015-05-23 11:20:57	ga_ls8c_ard_3-0-0_110079_2015-05-23_final
2015-06-05 10:51:46	ga_ls8c_ard_3-0-0_105083_2015-06-05_final
2015-07-24 11:33:03	ga_ls8c_ard_3-0-0_112077_2015-07-24_final
2015-08-01 10:44:50	ga_ls8c_ard_3-0-0_104080_2015-08-01_final
2015-08-08 10:51:26	ga_ls8c_ard_3-0-0_105081_2015-08-08_final
2015-08-23 11:47:11	ga_ls8c_ard_3-0-0_114081_2015-08-23_final
2015-09-15 11:53:08	ga_ls8c_ard_3-0-0_115080_2015-09-15_final
2015-09-18 10:45:10	ga_ls8c_ard_3-0-0_104080_2015-09-18_final
2015-09-22 11:58:10	ga_ls8c_ard_3-0-0_116077_2015-09-22_final
2016-02-05 11:07:34	ga_ls8c_ard_3-0-0_108074_2016-02-05_final
2016-06-17 11:27:47	ga_ls8c_ard_3-0-0_111079_2016-06-17_final
2016-08-06 11:17:21	ga_ls8c_ard_3-0-0_109083_2016-08-06_final
2016-08-10 10:52:37	ga_ls8c_ard_3-0-0_105083_2016-08-10_final
2016-08-19 10:45:19	ga_ls8c_ard_3-0-0_104080_2016-08-19_final
2016-09-24 11:58:25	ga_ls8c_ard_3-0-0_116077_2016-09-24_final
2016-11-03 11:07:53	ga_ls8c_ard_3-0-0_108074_2016-11-03_final
2016-12-14 11:03:14	ga_ls8c_ard_3-0-0_107078_2016-12-14_final
2017-04-25 10:38:47	ga_ls8c_ard_3-0-0_103081_2017-04-25_final
2017-04-30 10:58:04	ga_ls8c_ard_3-0-0_106083_2017-04-30_final
2017-09-11 11:58:18	ga_ls8c_ard_3-0-0_116077_2017-09-11_final
2018-04-25 11:45:03	ga_ls8c_ard_3-0-0_114077_2018-04-25_final
2018-06-07 11:26:52	ga_ls8c_ard_3-0-0_111079_2018-06-07_final
2018-06-12 11:40:41	ga_ls8c_ard_3-0-0_114067_2018-06-12_final
2018-07-13 11:04:30	ga_ls8c_ard_3-0-0_107084_2018-07-13_final
2018-10-03 10:50:45	ga_ls8c_ard_3-0-0_105079_2018-10-03_final
2019-03-23 10:32:50	ga_ls8c_ard_3-1-0_102081_2019-03-23_final
2019-09-17 11:58:28	ga_ls8c_ard_3-1-0_116077_2019-09-17_final
2020-01-22 11:17:28	ga_ls8c_ard_3-1-0_109083_2020-01-22_final
2020-03-29 11:47:09	ga_ls8c_ard_3-1-0_114081_2020-03-29_final
2020-08-16 10:33:16	ga_ls8c_ard_3-1-0_102081_2020-08-16_final
2020-10-18 08:11:03	ga_ls8c_ard_3-2-1_079080_2020-10-17_final
2020-12-04 10:45:58	ga_ls8c_ard_3-1-0_104081_2020-12-04_final
2020-12-28 09:51:41	ga_ls8c_ard_3-2-0_096069_2020-12-28_final
2021-01-31 11:21:38	ga_ls8c_ard_3-2-0_110078_2021-01-31_final
2021-02-06 10:45:44	ga_ls8c_ard_3-2-0_104081_2021-02-06_final
2021-05-18 09:19:42	ga_ls8c_ard_3-2-0_091068_2021-05-17_final
2021-05-30 11:25:49	ga_ls8c_ard_3-2-0_111074_2021-05-30_final
2021-06-01 09:32:11	ga_ls8c_ard_3-2-0_093068_2021-06-01_final
2021-07-01 09:49:05	ga_ls8c_ard_3-2-0_095079_2021-07-01_final
2021-09-06 08:42:40	ga_ls8c_ard_3-2-1_084082_2021-09-05_final
2021-10-07 09:32:50	ga_ls8c_ard_3-2-0_093068_2021-10-07_final
2021-11-23 10:30:25	ga_ls8c_ard_3-2-0_102073_2021-11-23_final
2022-01-08 10:45:51	ga_ls8c_ard_3-2-1_104081_2022-01-08_final
2022-01-20 09:31:39	ga_ls8c_ard_3-2-1_092081_2022-01-20_final
2022-01-20 09:35:15	ga_ls8c_ard_3-2-1_092090_2022-01-20_final
2022-02-21 11:08:46	ga_ls8c_ard_3-2-1_108077_2022-02-21_final
2022-03-25 11:08:33	ga_ls8c_ard_3-2-1_108077_2022-03-25_final
2022-04-10 11:08:33	ga_ls8c_ard_3-2-1_108077_2022-04-10_final
2022-05-05 11:04:00	ga_ls8c_ard_3-2-1_107081_2022-05-05_final
2022-06-15 10:58:57	ga_ls8c_ard_3-2-1_106083_2022-06-15_final
2022-06-22 11:03:11	ga_ls8c_ard_3-2-1_107078_2022-06-22_final
2022-06-29 11:10:11	ga_ls8c_ard_3-2-1_108080_2022-06-29_final
2022-07-08 11:03:12	ga_ls8c_ard_3-2-1_107078_2022-07-08_final
2022-07-09 11:47:40	ga_ls8c_ard_3-2-1_114081_2022-07-09_final
2022-07-15 11:09:21	ga_ls8c_ard_3-2-1_108078_2022-07-15_final
2022-07-20 09:49:05	ga_ls8c_ard_3-2-1_095078_2022-07-20_final
2022-08-16 11:09:40	ga_ls8c_ard_3-2-1_108078_2022-08-16_final
2022-08-21 09:49:20	ga_ls8c_ard_3-2-1_095078_2022-08-21_final
2022-09-01 11:08:52	ga_ls8c_ard_3-2-1_108076_2022-09-01_final
2022-09-01 11:09:16	ga_ls8c_ard_3-2-1_108077_2022-09-01_final
2022-09-17 11:09:23	ga_ls8c_ard_3-2-1_108077_2022-09-17_final
2022-10-14 09:13:24	ga_ls8c_ard_3-2-1_089081_2022-10-13_final
2022-10-28 11:03:12	ga_ls8c_ard_3-2-1_107077_2022-10-28_final
2022-11-04 11:09:23	ga_ls8c_ard_3-2-1_108077_2022-11-04_final
2022-11-08 10:46:14	ga_ls8c_ard_3-2-1_104081_2022-11-08_final
2022-11-12 08:43:00	ga_ls8c_ard_3-2-1_084082_2022-11-11_final
2022-11-20 11:09:16	ga_ls8c_ard_3-2-1_108077_2022-11-20_final
2022-12-28 10:31:16	ga_ls8c_ard_3-2-1_102075_2022-12-28_final
2023-01-05 09:43:02	ga_ls8c_ard_3-2-1_094078_2023-01-05_final
2023-01-07 11:09:09	ga_ls8c_ard_3-2-1_108077_2023-01-07_final
2023-04-01 10:45:23	ga_ls8c_ard_3-2-1_104081_2023-04-01_final
2023-04-29 11:08:14	ga_ls8c_ard_3-2-1_108077_2023-04-29_final
2023-05-04 09:48:14	ga_ls8c_ard_3-2-1_095078_2023-05-04_final
2023-05-20 09:48:04	ga_ls8c_ard_3-2-1_095078_2023-05-20_final
2023-05-23 11:57:53	ga_ls8c_ard_3-2-1_116078_2023-05-23_final
2023-05-31 11:08:27	ga_ls8c_ard_3-2-1_108078_2023-05-31_final
2023-06-21 09:48:16	ga_ls8c_ard_3-2-1_095078_2023-06-21_final
2023-07-07 09:48:28	ga_ls8c_ard_3-2-1_095078_2023-07-07_final
2023-07-10 11:57:52	ga_ls8c_ard_3-2-1_116077_2023-07-10_final
2023-07-18 11:08:51	ga_ls8c_ard_3-2-1_108078_2023-07-18_final
2023-08-03 11:08:36	ga_ls8c_ard_3-2-1_108077_2023-08-03_final
2023-08-08 09:48:39	ga_ls8c_ard_3-2-1_095078_2023-08-08_final
2023-08-19 11:08:42	ga_ls8c_ard_3-2-1_108077_2023-08-19_final
2023-08-19 11:09:06	ga_ls8c_ard_3-2-1_108078_2023-08-19_final
2023-09-03 10:22:40	ga_ls8c_ard_3-2-1_101070_2023-09-03_final
2023-09-20 11:08:49	ga_ls8c_ard_3-2-1_108077_2023-09-20_final
2023-10-05 10:22:48	ga_ls8c_ard_3-2-1_101070_2023-10-05_final
2024-01-14 10:45:45	ga_ls8c_ard_3-2-1_104081_2024-01-14_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