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
2013-04-03 09:51:24	ga_ls8c_ard_3-0-0_095080_2013-04-03_final
2013-06-25 09:51:56	ga_ls8c_ard_3-0-0_095081_2013-06-25_final
2013-09-29 09:51:52	ga_ls8c_ard_3-0-0_095081_2013-09-29_final
2013-10-15 09:53:27	ga_ls8c_ard_3-0-0_095085_2013-10-15_final
2014-04-25 09:49:26	ga_ls8c_ard_3-0-0_095080_2014-04-25_final
2014-06-12 09:49:41	ga_ls8c_ard_3-0-0_095081_2014-06-12_final
2014-06-28 09:50:55	ga_ls8c_ard_3-0-0_095084_2014-06-28_final
2014-08-15 09:52:27	ga_ls8c_ard_3-0-0_095087_2014-08-15_final
2014-10-18 09:51:26	ga_ls8c_ard_3-0-0_095084_2014-10-18_final
2015-02-07 09:51:30	ga_ls8c_ard_3-0-0_095085_2015-02-07_final
2015-04-12 09:50:34	ga_ls8c_ard_3-0-0_095084_2015-04-12_final
2015-08-02 09:49:13	ga_ls8c_ard_3-0-0_095080_2015-08-02_final
2015-08-18 09:49:20	ga_ls8c_ard_3-0-0_095080_2015-08-18_final
2015-10-21 09:50:51	ga_ls8c_ard_3-0-0_095083_2015-10-21_final
2017-04-01 09:51:10	ga_ls8c_ard_3-0-0_095085_2017-04-01_final
2017-04-17 09:49:26	ga_ls8c_ard_3-0-0_095081_2017-04-17_final
2017-05-19 09:49:28	ga_ls8c_ard_3-0-0_095081_2017-05-19_final
2018-01-30 09:49:06	ga_ls8c_ard_3-0-0_095079_2018-01-30_final
2018-07-25 09:48:49	ga_ls8c_ard_3-0-0_095080_2018-07-25_final
2018-09-27 09:48:54	ga_ls8c_ard_3-0-0_095079_2018-09-27_final
2018-11-30 09:49:07	ga_ls8c_ard_3-0-0_095079_2018-11-30_final
2019-08-29 09:49:23	ga_ls8c_ard_3-1-0_095079_2019-08-29_final
2019-09-14 09:49:28	ga_ls8c_ard_3-1-0_095079_2019-09-14_final
2019-09-30 09:49:33	ga_ls8c_ard_3-1-0_095079_2019-09-30_final
2020-02-21 09:49:12	ga_ls8c_ard_3-1-0_095079_2020-02-21_final
2020-08-15 09:51:36	ga_ls8c_ard_3-1-0_095085_2020-08-15_final
2021-03-09 09:59:52	ga_ls8c_ard_3-2-0_097075_2021-03-09_final
2021-03-11 09:48:41	ga_ls8c_ard_3-2-0_095078_2021-03-11_final
2021-03-18 11:33:17	ga_ls8c_ard_3-2-0_112077_2021-03-18_final
2021-03-25 09:59:46	ga_ls8c_ard_3-2-0_097075_2021-03-25_final
2021-03-25 11:39:27	ga_ls8c_ard_3-2-0_113077_2021-03-25_final
2021-04-05 09:42:22	ga_ls8c_ard_3-2-0_094078_2021-04-05_final
2021-04-07 11:08:53	ga_ls8c_ard_3-2-0_108078_2021-04-07_final
2021-04-17 10:08:37	ga_ls8c_ard_3-2-0_098082_2021-04-17_final
2021-04-27 10:45:12	ga_ls8c_ard_3-2-0_104081_2021-04-27_final
2021-04-28 11:26:51	ga_ls8c_ard_3-2-0_111077_2021-04-28_final
2021-05-13 10:44:47	ga_ls8c_ard_3-2-0_104080_2021-05-13_final
2021-05-14 11:26:51	ga_ls8c_ard_3-2-0_111077_2021-05-14_final
2021-05-28 09:59:40	ga_ls8c_ard_3-2-0_097075_2021-05-28_final
2021-05-30 09:48:31	ga_ls8c_ard_3-2-0_095078_2021-05-30_final
2021-06-06 09:53:58	ga_ls8c_ard_3-2-0_096076_2021-06-06_final
2021-06-15 09:48:14	ga_ls8c_ard_3-2-0_095077_2021-06-15_final
2021-06-18 11:58:02	ga_ls8c_ard_3-2-0_116077_2021-06-18_final
2021-06-23 10:34:55	ga_ls8c_ard_3-2-0_103070_2021-06-23_final
2021-07-01 09:49:05	ga_ls8c_ard_3-2-0_095079_2021-07-01_final
2021-07-01 09:50:17	ga_ls8c_ard_3-2-0_095082_2021-07-01_final
2021-07-12 09:32:10	ga_ls8c_ard_3-2-0_092083_2021-07-12_final
2021-07-14 10:57:53	ga_ls8c_ard_3-2-0_106081_2021-07-14_final
2021-07-17 09:48:43	ga_ls8c_ard_3-2-0_095078_2021-07-17_final
2021-07-17 11:27:12	ga_ls8c_ard_3-2-0_111077_2021-07-17_final
2021-08-02 09:49:16	ga_ls8c_ard_3-2-0_095079_2021-08-02_final
2021-08-04 09:38:07	ga_ls8c_ard_3-2-0_093082_2021-08-04_final
2021-08-04 11:12:12	ga_ls8c_ard_3-2-0_109070_2021-08-04_final
2021-08-09 09:54:17	ga_ls8c_ard_3-2-0_096076_2021-08-09_final
2021-08-22 11:03:08	ga_ls8c_ard_3-2-0_107078_2021-08-22_final
2021-08-25 11:34:27	ga_ls8c_ard_3-2-0_112079_2021-08-25_final
2021-08-27 09:42:25	ga_ls8c_ard_3-2-0_094077_2021-08-27_final
2021-09-03 09:49:02	ga_ls8c_ard_3-2-0_095078_2021-09-03_final
2021-09-10 09:54:27	ga_ls8c_ard_3-2-0_096076_2021-09-10_final
2021-09-17 10:00:15	ga_ls8c_ard_3-2-0_097075_2021-09-17_final
2021-09-28 09:42:33	ga_ls8c_ard_3-2-0_094077_2021-09-28_final
2021-10-03 10:00:20	ga_ls8c_ard_3-2-0_097075_2021-10-03_final
2021-10-12 11:33:53	ga_ls8c_ard_3-2-0_112077_2021-10-12_final
2021-10-14 09:43:02	ga_ls8c_ard_3-2-0_094078_2021-10-14_final
2021-10-16 09:35:04	ga_ls8c_ard_3-2-0_092089_2021-10-16_final
2021-10-19 11:40:04	ga_ls8c_ard_3-2-0_113077_2021-10-19_final
2021-10-28 09:54:37	ga_ls8c_ard_3-2-0_096076_2021-10-28_final
2021-11-09 11:58:58	ga_ls8c_ard_3-2-0_116078_2021-11-09_final
2021-12-03 11:09:30	ga_ls8c_ard_3-2-0_108078_2021-12-03_final
2022-01-02 09:42:52	ga_ls8c_ard_3-2-1_094078_2022-01-02_final
2022-01-02 09:44:52	ga_ls8c_ard_3-2-1_094083_2022-01-02_final
2022-01-13 11:03:11	ga_ls8c_ard_3-2-1_107078_2022-01-13_final
2022-01-16 09:56:00	ga_ls8c_ard_3-2-1_096080_2022-01-16_final
2022-01-20 11:08:56	ga_ls8c_ard_3-2-1_108077_2022-01-20_final
2022-02-10 11:28:11	ga_ls8c_ard_3-2-1_111079_2022-02-10_final
2022-02-26 11:28:06	ga_ls8c_ard_3-2-1_111079_2022-02-26_final
2022-03-07 09:42:37	ga_ls8c_ard_3-2-1_094078_2022-03-07_final
2022-03-07 11:21:54	ga_ls8c_ard_3-2-1_110079_2022-03-07_final
2022-03-14 11:27:14	ga_ls8c_ard_3-2-1_111077_2022-03-14_final
2022-03-16 11:16:03	ga_ls8c_ard_3-2-1_109080_2022-03-16_final
2022-03-20 10:50:29	ga_ls8c_ard_3-2-1_105078_2022-03-20_final
2022-03-21 11:33:20	ga_ls8c_ard_3-2-1_112077_2022-03-21_final
2022-03-23 09:42:27	ga_ls8c_ard_3-2-1_094078_2022-03-23_final
2022-03-23 11:21:44	ga_ls8c_ard_3-2-1_110079_2022-03-23_final
2022-03-30 09:48:08	ga_ls8c_ard_3-2-1_095077_2022-03-30_final
2022-04-01 09:37:46	ga_ls8c_ard_3-2-1_093082_2022-04-01_final
2022-04-06 09:53:57	ga_ls8c_ard_3-2-1_096076_2022-04-06_final
2022-04-15 09:49:26	ga_ls8c_ard_3-2-1_095080_2022-04-15_final
2022-04-21 10:50:25	ga_ls8c_ard_3-2-1_105078_2022-04-21_final
2022-04-22 09:54:23	ga_ls8c_ard_3-2-1_096077_2022-04-22_final
2022-05-03 11:15:32	ga_ls8c_ard_3-2-1_109079_2022-05-03_final
2022-05-08 11:34:32	ga_ls8c_ard_3-2-1_112080_2022-05-08_final
2022-05-17 09:48:20	ga_ls8c_ard_3-2-1_095077_2022-05-17_final
2022-05-17 09:48:44	ga_ls8c_ard_3-2-1_095078_2022-05-17_final
2022-05-19 11:15:40	ga_ls8c_ard_3-2-1_109079_2022-05-19_final
2022-05-19 11:16:04	ga_ls8c_ard_3-2-1_109080_2022-05-19_final
2022-05-26 09:42:33	ga_ls8c_ard_3-2-1_094078_2022-05-26_final
2022-06-04 11:16:09	ga_ls8c_ard_3-2-1_109080_2022-06-04_final
2022-06-11 11:22:02	ga_ls8c_ard_3-2-1_110079_2022-06-11_final
2022-06-13 11:08:54	ga_ls8c_ard_3-2-1_108077_2022-06-13_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