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
2013-04-06 11:46:29	ga_ls8c_ard_3-0-0_114078_2013-04-06_final
2014-02-18 11:40:28	ga_ls8c_ard_3-0-0_113077_2014-02-18_final
2014-06-26 11:39:21	ga_ls8c_ard_3-0-0_113077_2014-06-26_final
2014-07-28 11:39:58	ga_ls8c_ard_3-0-0_113078_2014-07-28_final
2014-09-14 11:40:11	ga_ls8c_ard_3-0-0_113078_2014-09-14_final
2014-11-01 11:39:49	ga_ls8c_ard_3-0-0_113077_2014-11-01_final
2014-11-15 11:53:25	ga_ls8c_ard_3-0-0_115080_2014-11-15_final
2015-04-26 11:38:57	ga_ls8c_ard_3-0-0_113077_2015-04-26_final
2015-09-17 11:40:23	ga_ls8c_ard_3-0-0_113079_2015-09-17_final
2015-11-09 11:57:30	ga_ls8c_ard_3-0-0_116075_2015-11-09_final
2015-11-09 11:57:54	ga_ls8c_ard_3-0-0_116076_2015-11-09_final
2016-04-17 11:56:57	ga_ls8c_ard_3-0-0_116075_2016-04-17_final
2016-04-17 11:57:21	ga_ls8c_ard_3-0-0_116076_2016-04-17_final
2016-07-17 11:39:36	ga_ls8c_ard_3-0-0_113077_2016-07-17_final
2016-10-10 11:58:29	ga_ls8c_ard_3-0-0_116077_2016-10-10_final
2017-02-26 11:39:55	ga_ls8c_ard_3-0-0_113078_2017-02-26_final
2017-03-14 11:39:23	ga_ls8c_ard_3-0-0_113077_2017-03-14_final
2017-06-16 11:52:31	ga_ls8c_ard_3-0-0_115079_2017-06-16_final
2017-07-18 11:52:39	ga_ls8c_ard_3-0-0_115079_2017-07-18_final
2017-08-26 11:58:16	ga_ls8c_ard_3-0-0_116077_2017-08-26_final
2019-08-16 11:58:19	ga_ls8c_ard_3-1-0_116077_2019-08-16_final
2020-08-22 09:54:39	ga_ls8c_ard_3-1-0_096077_2020-08-22_final
2020-10-16 11:42:46	ga_ls8c_ard_3-1-0_113084_2020-10-16_final
2020-11-10 09:54:28	ga_ls8c_ard_3-1-0_096076_2020-11-10_final
2020-12-07 09:38:23	ga_ls8c_ard_3-1-0_093082_2020-12-07_final
2021-01-15 09:42:48	ga_ls8c_ard_3-2-0_094078_2021-01-15_final
2021-02-01 10:26:24	ga_ls8c_ard_3-2-0_101079_2021-02-01_final
2021-02-23 09:48:50	ga_ls8c_ard_3-2-0_095078_2021-02-23_final
2021-03-04 09:42:35	ga_ls8c_ard_3-2-0_094078_2021-03-04_final
2021-03-11 09:48:18	ga_ls8c_ard_3-2-0_095077_2021-03-11_final
2021-03-25 09:59:46	ga_ls8c_ard_3-2-0_097075_2021-03-25_final
2021-04-03 11:32:50	ga_ls8c_ard_3-2-0_112076_2021-04-03_final
2021-04-05 09:42:22	ga_ls8c_ard_3-2-0_094078_2021-04-05_final
2021-04-05 11:21:15	ga_ls8c_ard_3-2-0_110078_2021-04-05_final
2021-04-13 10:30:58	ga_ls8c_ard_3-2-0_102076_2021-04-13_final
2021-04-19 11:32:43	ga_ls8c_ard_3-2-0_112076_2021-04-19_final
2021-04-21 09:42:16	ga_ls8c_ard_3-2-0_094078_2021-04-21_final
2021-04-21 11:21:09	ga_ls8c_ard_3-2-0_110078_2021-04-21_final
2021-05-05 09:54:05	ga_ls8c_ard_3-2-0_096077_2021-05-05_final
2021-05-07 09:42:06	ga_ls8c_ard_3-2-0_094078_2021-05-07_final
2021-05-21 11:33:31	ga_ls8c_ard_3-2-0_112078_2021-05-21_final
2021-05-21 11:33:54	ga_ls8c_ard_3-2-0_112079_2021-05-21_final
2021-05-28 09:59:40	ga_ls8c_ard_3-2-0_097075_2021-05-28_final
2021-05-28 11:39:21	ga_ls8c_ard_3-2-0_113077_2021-05-28_final
2021-06-06 09:53:58	ga_ls8c_ard_3-2-0_096076_2021-06-06_final
2021-06-06 09:54:21	ga_ls8c_ard_3-2-0_096077_2021-06-06_final
2021-06-06 11:34:02	ga_ls8c_ard_3-2-0_112079_2021-06-06_final
2021-06-13 11:39:04	ga_ls8c_ard_3-2-0_113076_2021-06-13_final
2021-06-22 11:32:56	ga_ls8c_ard_3-2-0_112076_2021-06-22_final
2021-06-29 10:00:15	ga_ls8c_ard_3-2-0_097076_2021-06-29_final
2021-07-05 11:04:27	ga_ls8c_ard_3-2-0_107082_2021-07-05_final
2021-07-15 09:59:52	ga_ls8c_ard_3-2-0_097075_2021-07-15_final
2021-07-24 09:54:34	ga_ls8c_ard_3-2-0_096077_2021-07-24_final
2021-07-26 11:21:54	ga_ls8c_ard_3-2-0_110079_2021-07-26_final
2021-07-31 10:00:01	ga_ls8c_ard_3-2-0_097075_2021-07-31_final
2021-07-31 10:02:48	ga_ls8c_ard_3-2-0_097082_2021-07-31_final
2021-07-31 11:39:18	ga_ls8c_ard_3-2-0_113076_2021-07-31_final
2021-08-09 09:54:41	ga_ls8c_ard_3-2-0_096077_2021-08-09_final
2021-08-11 11:22:01	ga_ls8c_ard_3-2-0_110079_2021-08-11_final
2021-08-15 10:58:55	ga_ls8c_ard_3-2-0_106083_2021-08-15_final
2021-08-25 09:54:46	ga_ls8c_ard_3-2-0_096077_2021-08-25_final
2021-08-25 09:55:10	ga_ls8c_ard_3-2-0_096078_2021-08-25_final
2021-08-25 11:33:15	ga_ls8c_ard_3-2-0_112076_2021-08-25_final
2021-09-03 11:28:19	ga_ls8c_ard_3-2-0_111079_2021-09-03_final
2021-09-08 10:06:48	ga_ls8c_ard_3-2-0_098076_2021-09-08_final
2021-09-10 11:33:20	ga_ls8c_ard_3-2-0_112076_2021-09-10_final
2021-09-14 11:09:25	ga_ls8c_ard_3-2-0_108078_2021-09-14_final
2021-09-19 11:27:58	ga_ls8c_ard_3-2-0_111078_2021-09-19_final
2021-09-24 10:06:51	ga_ls8c_ard_3-2-0_098076_2021-09-24_final
2021-09-26 11:33:23	ga_ls8c_ard_3-2-0_112076_2021-09-26_final
2022-01-10 10:33:06	ga_ls8c_ard_3-2-1_102080_2022-01-10_final
2022-01-16 09:54:24	ga_ls8c_ard_3-2-1_096076_2022-01-16_final
2022-03-05 09:54:11	ga_ls8c_ard_3-2-1_096076_2022-03-05_final
2022-03-05 11:33:28	ga_ls8c_ard_3-2-1_112077_2022-03-05_final
2022-03-25 11:08:57	ga_ls8c_ard_3-2-1_108078_2022-03-25_final
2022-03-28 09:59:43	ga_ls8c_ard_3-2-1_097075_2022-03-28_final
2022-04-13 09:59:48	ga_ls8c_ard_3-2-1_097075_2022-04-13_final
2022-04-26 11:08:55	ga_ls8c_ard_3-2-1_108078_2022-04-26_final
2022-04-29 10:01:43	ga_ls8c_ard_3-2-1_097080_2022-04-29_final
2022-05-01 11:27:52	ga_ls8c_ard_3-2-1_111079_2022-05-01_final
2022-06-15 10:58:57	ga_ls8c_ard_3-2-1_106083_2022-06-15_final
2022-06-25 11:33:18	ga_ls8c_ard_3-2-1_112076_2022-06-25_final
2022-07-18 11:39:30	ga_ls8c_ard_3-2-1_113076_2022-07-18_final
2022-07-27 11:33:26	ga_ls8c_ard_3-2-1_112076_2022-07-27_final
2022-07-27 11:33:50	ga_ls8c_ard_3-2-1_112077_2022-07-27_final
2022-07-31 11:09:33	ga_ls8c_ard_3-2-1_108078_2022-07-31_final
2022-08-21 11:28:37	ga_ls8c_ard_3-2-1_111079_2022-08-21_final
2022-08-28 09:54:43	ga_ls8c_ard_3-2-1_096076_2022-08-28_final
2022-08-28 11:33:36	ga_ls8c_ard_3-2-1_112076_2022-08-28_final
2022-09-06 09:48:57	ga_ls8c_ard_3-2-1_095077_2022-09-06_final
2022-09-17 11:09:23	ga_ls8c_ard_3-2-1_108077_2022-09-17_final
2022-09-17 11:09:47	ga_ls8c_ard_3-2-1_108078_2022-09-17_final
2022-09-22 09:49:03	ga_ls8c_ard_3-2-1_095077_2022-09-22_final
2022-10-22 10:00:33	ga_ls8c_ard_3-2-1_097075_2022-10-22_final
2022-12-06 11:09:42	ga_ls8c_ard_3-2-1_108078_2022-12-06_final
2022-12-22 11:09:31	ga_ls8c_ard_3-2-1_108078_2022-12-22_final
2023-01-10 11:40:49	ga_ls8c_ard_3-2-1_113079_2023-01-10_final
2023-02-07 10:27:02	ga_ls8c_ard_3-2-1_101080_2023-02-07_final
2023-02-11 11:40:46	ga_ls8c_ard_3-2-1_113079_2023-02-11_final
2023-02-19 10:50:48	ga_ls8c_ard_3-2-1_105078_2023-02-19_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