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
2013-04-07 10:46:08	ga_ls8c_ard_3-1-0_104077_2013-04-07_final
2013-12-26 10:40:05	ga_ls8c_ard_3-1-0_103079_2013-12-26_final
2014-03-23 10:44:23	ga_ls8c_ard_3-1-0_104077_2014-03-23_final
2014-08-03 11:04:33	ga_ls8c_ard_3-1-0_107082_2014-08-03_final
2014-09-04 11:04:40	ga_ls8c_ard_3-1-0_107082_2014-09-04_final
2015-06-03 11:03:42	ga_ls8c_ard_3-1-0_107082_2015-06-03_final
2016-03-28 10:43:43	ga_ls8c_ard_3-1-0_104077_2016-03-28_final
2016-07-18 10:43:59	ga_ls8c_ard_3-1-0_104077_2016-07-18_final
2017-07-10 11:04:21	ga_ls8c_ard_3-1-0_107082_2017-07-10_final
2018-05-05 10:43:09	ga_ls8c_ard_3-1-0_104077_2018-05-05_final
2018-08-09 10:43:24	ga_ls8c_ard_3-1-0_104077_2018-08-09_final
2018-08-25 10:43:32	ga_ls8c_ard_3-1-0_104077_2018-08-25_final
2019-03-07 10:32:30	ga_ls8c_ard_3-1-0_102080_2019-03-07_final
2019-03-13 09:53:47	ga_ls8c_ard_3-1-0_096076_2019-03-13_final
2019-03-14 10:36:38	ga_ls8c_ard_3-1-0_103075_2019-03-14_final
2019-03-20 11:40:01	ga_ls8c_ard_3-1-0_113079_2019-03-20_final
2019-03-22 09:47:59	ga_ls8c_ard_3-1-0_095077_2019-03-22_final
2019-03-29 11:33:25	ga_ls8c_ard_3-1-0_112078_2019-03-29_final
2019-03-30 10:38:11	ga_ls8c_ard_3-1-0_103079_2019-03-30_final
2019-03-31 11:21:03	ga_ls8c_ard_3-1-0_110078_2019-03-31_final
2019-04-01 10:25:49	ga_ls8c_ard_3-1-0_101079_2019-04-01_final
2019-04-01 10:26:13	ga_ls8c_ard_3-1-0_101080_2019-04-01_final
2019-04-05 11:39:58	ga_ls8c_ard_3-1-0_113079_2019-04-05_final
2019-04-07 11:27:36	ga_ls8c_ard_3-1-0_111079_2019-04-07_final
2019-04-09 11:15:37	ga_ls8c_ard_3-1-0_109080_2019-04-09_final
2019-04-14 11:32:56	ga_ls8c_ard_3-1-0_112077_2019-04-14_final
2019-04-16 09:42:04	ga_ls8c_ard_3-1-0_094078_2019-04-16_final
2019-06-17 09:54:01	ga_ls8c_ard_3-1-0_096076_2019-06-17_final
2019-06-17 09:54:25	ga_ls8c_ard_3-1-0_096077_2019-06-17_final
2019-06-18 10:36:53	ga_ls8c_ard_3-1-0_103075_2019-06-18_final
2019-07-03 11:32:58	ga_ls8c_ard_3-1-0_112076_2019-07-03_final
2019-07-04 10:36:57	ga_ls8c_ard_3-1-0_103075_2019-07-04_final
2019-07-06 10:26:12	ga_ls8c_ard_3-1-0_101079_2019-07-06_final
2019-07-07 11:08:40	ga_ls8c_ard_3-1-0_108077_2019-07-07_final
2019-07-10 09:59:30	ga_ls8c_ard_3-1-0_097074_2019-07-10_final
2019-07-10 11:39:11	ga_ls8c_ard_3-1-0_113076_2019-07-10_final
2019-07-21 11:22:16	ga_ls8c_ard_3-1-0_110080_2019-07-21_final
2019-07-22 10:26:15	ga_ls8c_ard_3-1-0_101079_2019-07-22_final
2019-07-29 10:32:05	ga_ls8c_ard_3-1-0_102078_2019-07-29_final
2019-07-29 10:32:29	ga_ls8c_ard_3-1-0_102079_2019-07-29_final
2019-08-08 11:08:50	ga_ls8c_ard_3-1-0_108077_2019-08-08_final
2019-08-11 10:00:04	ga_ls8c_ard_3-1-0_097075_2019-08-11_final
2019-08-13 11:27:48	ga_ls8c_ard_3-1-0_111078_2019-08-13_final
2019-08-15 11:16:15	ga_ls8c_ard_3-1-0_109080_2019-08-15_final
2019-08-24 11:08:55	ga_ls8c_ard_3-1-0_108077_2019-08-24_final
2019-08-26 09:19:16	ga_ls8c_ard_3-1-0_090081_2019-08-25_final
2019-08-27 10:00:09	ga_ls8c_ard_3-1-0_097075_2019-08-27_final
2019-08-29 11:28:16	ga_ls8c_ard_3-1-0_111079_2019-08-29_final
2019-09-05 09:54:47	ga_ls8c_ard_3-1-0_096077_2019-09-05_final
2019-09-05 11:33:16	ga_ls8c_ard_3-1-0_112076_2019-09-05_final
2019-09-05 11:34:04	ga_ls8c_ard_3-1-0_112078_2019-09-05_final
2019-09-06 10:38:51	ga_ls8c_ard_3-1-0_103079_2019-09-06_final
2019-09-07 09:42:50	ga_ls8c_ard_3-1-0_094078_2019-09-07_final
2019-09-07 11:21:43	ga_ls8c_ard_3-1-0_110078_2019-09-07_final
2019-09-14 09:48:40	ga_ls8c_ard_3-1-0_095077_2019-09-14_final
2019-09-14 11:27:57	ga_ls8c_ard_3-1-0_111078_2019-09-14_final
2019-09-14 11:28:21	ga_ls8c_ard_3-1-0_111079_2019-09-14_final
2019-09-15 10:31:32	ga_ls8c_ard_3-1-0_102076_2019-09-15_final
2019-09-15 10:32:20	ga_ls8c_ard_3-1-0_102078_2019-09-15_final
2019-09-27 10:58:19	ga_ls8c_ard_3-1-0_106081_2019-09-27_final
2019-10-01 10:33:13	ga_ls8c_ard_3-1-0_102080_2019-10-01_final
2019-10-11 11:09:31	ga_ls8c_ard_3-1-0_108078_2019-10-11_final
2019-10-23 09:54:35	ga_ls8c_ard_3-1-0_096076_2019-10-23_final
2019-11-08 09:54:33	ga_ls8c_ard_3-1-0_096076_2019-11-08_final
2019-12-30 11:08:58	ga_ls8c_ard_3-1-0_108077_2019-12-30_final
2020-01-04 11:27:53	ga_ls8c_ard_3-1-0_111078_2020-01-04_final
2020-02-14 09:42:39	ga_ls8c_ard_3-1-0_094078_2020-02-14_final
2020-02-21 09:48:48	ga_ls8c_ard_3-1-0_095078_2020-02-21_final
2020-03-07 10:44:44	ga_ls8c_ard_3-1-0_104079_2020-03-07_final
2020-03-24 09:48:35	ga_ls8c_ard_3-1-0_095078_2020-03-24_final
2020-03-31 09:53:53	ga_ls8c_ard_3-1-0_096076_2020-03-31_final
2020-05-02 09:53:38	ga_ls8c_ard_3-1-0_096076_2020-05-02_final
2020-05-02 11:32:31	ga_ls8c_ard_3-1-0_112076_2020-05-02_final
2021-05-12 11:39:12	ga_ls8c_ard_3-2-0_113077_2021-05-12_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
2021-06-13 10:00:11	ga_ls8c_ard_3-2-0_097076_2021-06-13_final
2021-06-13 10:02:35	ga_ls8c_ard_3-2-0_097082_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
2021-07-08 09:54:05	ga_ls8c_ard_3-2-0_096076_2021-07-08_final
2021-07-08 11:32:58	ga_ls8c_ard_3-2-0_112076_2021-07-08_final
2021-07-10 11:21:25	ga_ls8c_ard_3-2-0_110078_2021-07-10_final
2021-07-11 10:26:11	ga_ls8c_ard_3-2-0_101079_2021-07-11_final
2021-07-15 10:00:16	ga_ls8c_ard_3-2-0_097076_2021-07-15_final
2021-07-24 09:54:10	ga_ls8c_ard_3-2-0_096076_2021-07-24_final
2021-07-24 09:54:34	ga_ls8c_ard_3-2-0_096077_2021-07-24_final
2022-03-30 09:48:08	ga_ls8c_ard_3-2-1_095077_2022-03-30_final
2022-04-06 11:32:50	ga_ls8c_ard_3-2-1_112076_2022-04-06_final
2022-04-13 11:39:28	ga_ls8c_ard_3-2-1_113077_2022-04-13_final
2022-04-15 09:48:14	ga_ls8c_ard_3-2-1_095077_2022-04-15_final
2022-04-15 09:48:38	ga_ls8c_ard_3-2-1_095078_2022-04-15_final
2022-04-16 10:31:06	ga_ls8c_ard_3-2-1_102076_2022-04-16_final
2022-05-01 11:27:52	ga_ls8c_ard_3-2-1_111079_2022-05-01_final
2022-05-12 11:09:03	ga_ls8c_ard_3-2-1_108078_2022-05-12_final
2022-05-17 09:48:20	ga_ls8c_ard_3-2-1_095077_2022-05-17_final
2022-05-26 11:24:13	ga_ls8c_ard_3-2-1_110085_2022-05-26_final
2022-06-18 11:27:29	ga_ls8c_ard_3-2-1_111077_2022-06-18_final
2022-06-25 11:33:18	ga_ls8c_ard_3-2-1_112076_2022-06-25_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