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
2013-11-18 09:36:54	ga_ls8c_ard_3-1-0_093075_2013-11-18_final
2014-10-10 10:38:50	ga_ls8c_ard_3-1-0_103079_2014-10-10_final
2015-06-23 10:37:57	ga_ls8c_ard_3-1-0_103079_2015-06-23_final
2015-11-28 10:51:09	ga_ls8c_ard_3-1-0_105079_2015-11-28_final
2016-10-23 11:28:02	ga_ls8c_ard_3-1-0_111078_2016-10-23_final
2019-03-16 10:25:52	ga_ls8c_ard_3-1-0_101079_2019-03-16_final
2019-03-17 11:08:20	ga_ls8c_ard_3-1-0_108077_2019-03-17_final
2019-03-22 09:47:59	ga_ls8c_ard_3-1-0_095077_2019-03-22_final
2019-03-22 09:48:22	ga_ls8c_ard_3-1-0_095078_2019-03-22_final
2019-03-23 10:32:26	ga_ls8c_ard_3-1-0_102080_2019-03-23_final
2019-03-30 10:36:35	ga_ls8c_ard_3-1-0_103075_2019-03-30_final
2019-04-01 10:25:49	ga_ls8c_ard_3-1-0_101079_2019-04-01_final
2019-04-15 10:38:06	ga_ls8c_ard_3-1-0_103079_2019-04-15_final
2019-06-20 10:26:08	ga_ls8c_ard_3-1-0_101079_2019-06-20_final
2019-06-22 10:12:11	ga_ls8c_ard_3-1-0_099075_2019-06-22_final
2019-06-26 09:48:41	ga_ls8c_ard_3-1-0_095078_2019-06-26_final
2019-07-06 10:26:12	ga_ls8c_ard_3-1-0_101079_2019-07-06_final
2019-07-09 09:18:37	ga_ls8c_ard_3-1-0_090080_2019-07-08_final
2019-07-12 09:48:44	ga_ls8c_ard_3-1-0_095078_2019-07-12_final
2019-07-13 10:31:12	ga_ls8c_ard_3-1-0_102076_2019-07-13_final
2019-07-19 09:54:08	ga_ls8c_ard_3-1-0_096076_2019-07-19_final
2019-07-19 09:54:32	ga_ls8c_ard_3-1-0_096077_2019-07-19_final
2019-07-21 09:42:35	ga_ls8c_ard_3-1-0_094078_2019-07-21_final
2019-07-22 10:26:15	ga_ls8c_ard_3-1-0_101079_2019-07-22_final
2019-07-26 11:39:39	ga_ls8c_ard_3-1-0_113077_2019-07-26_final
2019-07-28 09:48:25	ga_ls8c_ard_3-1-0_095077_2019-07-28_final
2019-08-04 09:54:15	ga_ls8c_ard_3-1-0_096076_2019-08-04_final
2019-08-04 09:54:39	ga_ls8c_ard_3-1-0_096077_2019-08-04_final
2019-08-06 09:42:42	ga_ls8c_ard_3-1-0_094078_2019-08-06_final
2019-08-09 10:12:25	ga_ls8c_ard_3-1-0_099075_2019-08-09_final
2019-08-13 11:27:48	ga_ls8c_ard_3-1-0_111078_2019-08-13_final
2019-08-23 10:26:27	ga_ls8c_ard_3-1-0_101079_2019-08-23_final
2019-08-24 11:08:55	ga_ls8c_ard_3-1-0_108077_2019-08-24_final
2019-08-27 10:00:57	ga_ls8c_ard_3-1-0_097077_2019-08-27_final
2019-08-27 11:39:50	ga_ls8c_ard_3-1-0_113077_2019-08-27_final
2019-08-30 10:31:27	ga_ls8c_ard_3-1-0_102076_2019-08-30_final
2019-09-05 09:54:47	ga_ls8c_ard_3-1-0_096077_2019-09-05_final
2019-09-08 10:26:30	ga_ls8c_ard_3-1-0_101079_2019-09-08_final
2019-09-14 09:49:04	ga_ls8c_ard_3-1-0_095078_2019-09-14_final
2019-09-14 11:27:57	ga_ls8c_ard_3-1-0_111078_2019-09-14_final
2019-09-15 10:31:32	ga_ls8c_ard_3-1-0_102076_2019-09-15_final
2019-09-21 09:54:53	ga_ls8c_ard_3-1-0_096077_2019-09-21_final
2019-09-25 11:09:04	ga_ls8c_ard_3-1-0_108077_2019-09-25_final
2019-10-07 09:54:57	ga_ls8c_ard_3-1-0_096077_2019-10-07_final
2019-10-16 09:48:47	ga_ls8c_ard_3-1-0_095077_2019-10-16_final
2019-10-25 09:43:01	ga_ls8c_ard_3-1-0_094078_2019-10-25_final
2019-11-01 09:48:47	ga_ls8c_ard_3-1-0_095077_2019-11-01_final
2019-11-12 11:09:06	ga_ls8c_ard_3-1-0_108077_2019-11-12_final
2019-11-15 10:00:18	ga_ls8c_ard_3-1-0_097075_2019-11-15_final
2019-11-17 09:49:08	ga_ls8c_ard_3-1-0_095078_2019-11-17_final
2019-11-24 09:54:30	ga_ls8c_ard_3-1-0_096076_2019-11-24_final
2019-11-28 11:09:04	ga_ls8c_ard_3-1-0_108077_2019-11-28_final
2019-12-03 09:48:43	ga_ls8c_ard_3-1-0_095077_2019-12-03_final
2019-12-03 09:49:07	ga_ls8c_ard_3-1-0_095078_2019-12-03_final
2019-12-12 09:42:55	ga_ls8c_ard_3-1-0_094078_2019-12-12_final
2020-01-02 10:00:10	ga_ls8c_ard_3-1-0_097075_2020-01-02_final
2020-01-31 11:08:50	ga_ls8c_ard_3-1-0_108077_2020-01-31_final
2020-02-12 09:54:13	ga_ls8c_ard_3-1-0_096076_2020-02-12_final
2020-02-16 11:08:46	ga_ls8c_ard_3-1-0_108077_2020-02-16_final
2020-02-21 09:48:48	ga_ls8c_ard_3-1-0_095078_2020-02-21_final
2020-03-03 11:08:41	ga_ls8c_ard_3-1-0_108077_2020-03-03_final
2020-03-18 10:26:07	ga_ls8c_ard_3-1-0_101079_2020-03-18_final
2020-03-24 09:48:35	ga_ls8c_ard_3-1-0_095078_2020-03-24_final
2020-03-26 09:37:47	ga_ls8c_ard_3-1-0_093082_2020-03-26_final
2020-04-09 09:48:02	ga_ls8c_ard_3-1-0_095077_2020-04-09_final
2020-04-16 09:54:10	ga_ls8c_ard_3-1-0_096077_2020-04-16_final
2020-04-19 10:25:51	ga_ls8c_ard_3-1-0_101079_2020-04-19_final
2020-05-02 09:54:02	ga_ls8c_ard_3-1-0_096077_2020-05-02_final
2020-05-06 11:08:09	ga_ls8c_ard_3-1-0_108077_2020-05-06_final
2021-03-28 10:31:03	ga_ls8c_ard_3-2-0_102076_2021-03-28_final
2021-04-06 10:26:02	ga_ls8c_ard_3-2-0_101079_2021-04-06_final
2022-03-31 10:31:00	ga_ls8c_ard_3-2-1_102076_2022-03-31_final
2022-03-31 10:31:48	ga_ls8c_ard_3-2-1_102078_2022-03-31_final
2022-04-04 10:08:17	ga_ls8c_ard_3-2-1_098081_2022-04-04_final
2022-04-06 09:53:57	ga_ls8c_ard_3-2-1_096076_2022-04-06_final
2022-04-06 11:33:14	ga_ls8c_ard_3-2-1_112077_2022-04-06_final
2022-04-08 11:21:18	ga_ls8c_ard_3-2-1_110078_2022-04-08_final
2022-04-08 11:21:42	ga_ls8c_ard_3-2-1_110079_2022-04-08_final
2022-04-14 10:44:39	ga_ls8c_ard_3-2-1_104079_2022-04-14_final
2022-04-15 11:27:55	ga_ls8c_ard_3-2-1_111079_2022-04-15_final
2022-04-20 10:06:22	ga_ls8c_ard_3-2-1_098076_2022-04-20_final
2022-04-20 11:45:15	ga_ls8c_ard_3-2-1_114076_2022-04-20_final
2022-04-22 09:55:35	ga_ls8c_ard_3-2-1_096080_2022-04-22_final
2022-04-22 11:34:04	ga_ls8c_ard_3-2-1_112079_2022-04-22_final
2022-04-24 11:21:18	ga_ls8c_ard_3-2-1_110078_2022-04-24_final
2022-04-24 11:21:42	ga_ls8c_ard_3-2-1_110079_2022-04-24_final
2022-05-01 09:48:11	ga_ls8c_ard_3-2-1_095077_2022-05-01_final
2022-05-01 11:27:52	ga_ls8c_ard_3-2-1_111079_2022-05-01_final
2022-05-02 10:31:04	ga_ls8c_ard_3-2-1_102076_2022-05-02_final
2022-05-02 10:32:15	ga_ls8c_ard_3-2-1_102079_2022-05-02_final
2022-05-03 11:15:32	ga_ls8c_ard_3-2-1_109079_2022-05-03_final
2022-05-06 11:45:16	ga_ls8c_ard_3-2-1_114076_2022-05-06_final
2022-05-08 09:53:39	ga_ls8c_ard_3-2-1_096075_2022-05-08_final
2022-05-17 09:48:20	ga_ls8c_ard_3-2-1_095077_2022-05-17_final
2022-05-26 09:42:33	ga_ls8c_ard_3-2-1_094078_2022-05-26_final
2022-05-26 09:42:57	ga_ls8c_ard_3-2-1_094079_2022-05-26_final
2022-06-02 11:28:05	ga_ls8c_ard_3-2-1_111079_2022-06-02_final
2022-06-13 11:09:17	ga_ls8c_ard_3-2-1_108078_2022-06-13_final
2022-06-18 09:49:00	ga_ls8c_ard_3-2-1_095078_2022-06-18_final
2022-06-27 09:42:51	ga_ls8c_ard_3-2-1_094078_2022-06-27_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