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
2013-07-21 10:26:38	ga_ls8c_ard_3-0-0_101075_2013-07-21_final
2013-08-24 10:17:10	ga_ls8c_ard_3-0-0_099082_2013-08-24_final
2013-09-25 10:15:24	ga_ls8c_ard_3-0-0_099078_2013-09-25_final
2013-12-11 09:39:49	ga_ls8c_ard_3-0-0_094067_2013-12-11_final
2014-01-16 10:59:31	ga_ls8c_ard_3-0-0_106082_2014-01-16_final
2014-01-27 10:40:33	ga_ls8c_ard_3-0-0_103081_2014-01-27_final
2014-02-21 10:29:39	ga_ls8c_ard_3-0-0_102070_2014-02-21_final
2014-05-20 09:42:56	ga_ls8c_ard_3-0-0_094080_2014-05-20_final
2014-07-23 09:38:06	ga_ls8c_ard_3-0-0_094067_2014-07-23_final
2014-11-12 09:38:28	ga_ls8c_ard_3-0-0_094067_2014-11-12_final
2014-12-28 11:31:32	ga_ls8c_ard_3-0-0_112072_2014-12-28_final
2015-04-05 09:37:36	ga_ls8c_ard_3-0-0_094067_2015-04-05_final
2015-05-08 10:21:47	ga_ls8c_ard_3-0-0_101070_2015-05-08_final
2015-07-29 11:52:49	ga_ls8c_ard_3-0-0_115080_2015-07-29_final
2015-10-01 11:51:13	ga_ls8c_ard_3-0-0_115075_2015-10-01_final
2015-11-15 09:40:20	ga_ls8c_ard_3-0-0_094072_2015-11-15_final
2015-12-10 11:13:02	ga_ls8c_ard_3-0-0_109072_2015-12-10_final
2015-12-17 09:38:22	ga_ls8c_ard_3-0-0_094067_2015-12-17_final
2015-12-22 11:35:48	ga_ls8c_ard_3-0-0_113067_2015-12-22_final
2016-01-11 09:39:18	ga_ls8c_ard_3-0-0_093085_2016-01-11_final
2016-05-16 11:25:15	ga_ls8c_ard_3-0-0_111073_2016-05-16_final
2016-05-30 09:56:49	ga_ls8c_ard_3-0-0_097068_2016-05-30_final
2016-06-07 10:49:53	ga_ls8c_ard_3-0-0_105077_2016-06-07_final
2016-07-21 11:14:06	ga_ls8c_ard_3-1-0_109075_2016-07-21_final
2016-09-30 09:44:27	ga_ls8c_ard_3-0-0_094082_2016-09-30_final
2016-10-30 09:52:32	ga_ls8c_ard_3-0-0_096071_2016-10-30_final
2016-11-15 11:31:00	ga_ls8c_ard_3-0-0_112070_2016-11-15_final
2017-03-14 11:40:58	ga_ls8c_ard_3-0-0_113081_2017-03-14_final
2017-04-03 11:13:17	ga_ls8c_ard_3-0-0_109074_2017-04-03_final
2017-04-10 09:37:44	ga_ls8c_ard_3-0-0_094067_2017-04-10_final
2017-05-10 11:29:14	ga_ls8c_ard_3-0-0_112068_2017-05-10_final
2017-05-24 11:41:22	ga_ls8c_ard_3-0-0_114067_2017-05-24_final
2017-05-31 10:08:43	ga_ls8c_ard_3-0-0_099067_2017-05-31_final
2017-12-27 09:57:45	ga_ls8c_ard_3-0-0_097069_2017-12-27_final
2018-02-01 09:40:19	ga_ls8c_ard_3-0-0_093088_2018-02-01_final
2018-05-15 11:16:56	ga_ls8c_ard_3-0-0_110069_2018-05-15_final
2018-06-14 09:50:16	ga_ls8c_ard_3-0-0_096069_2018-06-14_final
2018-07-09 11:23:37	ga_ls8c_ard_3-0-0_111070_2018-07-09_final
2018-07-15 10:48:58	ga_ls8c_ard_3-0-0_105076_2018-07-15_final
2018-08-05 11:07:17	ga_ls8c_ard_3-0-0_108075_2018-08-05_final
2018-10-09 11:52:12	ga_ls8c_ard_3-0-0_115078_2018-10-09_final
2018-10-26 10:57:28	ga_ls8c_ard_3-0-0_106080_2018-10-26_final
2019-01-03 09:34:19	ga_ls8c_ard_3-0-0_093073_2019-01-03_final
2019-05-16 11:29:27	ga_ls8c_ard_3-0-0_112068_2019-05-16_final
2019-05-17 10:34:14	ga_ls8c_ard_3-0-0_103069_2019-05-17_final
2019-06-15 11:41:40	ga_ls8c_ard_3-1-0_114067_2019-06-15_final
2019-07-21 11:23:04	ga_ls8c_ard_3-1-0_110082_2019-07-21_final
2019-11-15 09:57:31	ga_ls8c_ard_3-1-0_097068_2019-11-15_final
2019-12-02 10:46:20	ga_ls8c_ard_3-1-0_104082_2019-12-02_final
2020-01-20 11:26:14	ga_ls8c_ard_3-1-0_111074_2020-01-20_final
2020-01-27 09:53:30	ga_ls8c_ard_3-1-0_096074_2020-01-27_final
2020-03-14 10:48:52	ga_ls8c_ard_3-1-0_105074_2020-03-14_final
2020-04-18 09:40:36	ga_ls8c_ard_3-1-0_094074_2020-04-18_final
2020-04-30 10:03:13	ga_ls8c_ard_3-1-0_098069_2020-04-30_final
2020-05-25 11:41:29	ga_ls8c_ard_3-1-0_113083_2020-05-25_final
2020-05-31 11:04:27	ga_ls8c_ard_3-1-0_107083_2020-05-31_final
2020-07-08 10:22:31	ga_ls8c_ard_3-1-0_101070_2020-07-08_final
2020-08-08 09:38:12	ga_ls8c_ard_3-1-0_094067_2020-08-08_final
2020-09-14 11:38:41	ga_ls8c_ard_3-1-0_113074_2020-09-14_final
2020-10-11 09:40:09	ga_ls8c_ard_3-1-0_094071_2020-10-11_final
2020-12-19 11:41:59	ga_ls8c_ard_3-2-0_113082_2020-12-19_final
2020-12-30 11:19:48	ga_ls8c_ard_3-2-0_110073_2020-12-30_final
2021-03-01 10:52:35	ga_ls8c_ard_3-2-0_105083_2021-03-01_final
2021-04-12 11:28:11	ga_ls8c_ard_3-2-0_111080_2021-04-12_final
2021-06-01 09:33:23	ga_ls8c_ard_3-2-0_093071_2021-06-01_final
2021-06-11 10:09:44	ga_ls8c_ard_3-2-0_099069_2021-06-11_final
2021-06-17 09:34:17	ga_ls8c_ard_3-2-0_093073_2021-06-17_final
2021-07-15 11:37:33	ga_ls8c_ard_3-2-0_113072_2021-07-15_final
2021-08-05 11:57:28	ga_ls8c_ard_3-2-0_116075_2021-08-05_final
2021-10-08 11:57:47	ga_ls8c_ard_3-2-0_116075_2021-10-08_final
2021-10-08 11:58:11	ga_ls8c_ard_3-2-0_116076_2021-10-08_final
2021-10-16 11:09:10	ga_ls8c_ard_3-2-0_108077_2021-10-16_final
2021-10-24 10:17:44	ga_ls8c_ard_3-2-0_100072_2021-10-24_final
2021-11-15 09:38:35	ga_ls8c_ard_3-2-0_094067_2021-11-15_final
2021-11-26 09:22:02	ga_ls8c_ard_3-2-0_091072_2021-11-25_final
2022-01-13 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-01-12_final
2022-01-21 10:09:43	ga_ls8c_ard_3-2-1_099068_2022-01-21_final
2022-02-19 11:24:20	ga_ls8c_ard_3-2-1_110085_2022-02-19_final
2022-08-30 11:18:27	ga_ls8c_ard_3-2-1_110069_2022-08-30_final
2022-09-01 09:30:47	ga_ls8c_ard_3-2-1_092078_2022-09-01_final
2022-09-11 10:04:21	ga_ls8c_ard_3-2-1_098069_2022-09-11_final
2022-10-03 09:31:17	ga_ls8c_ard_3-2-1_092079_2022-10-03_final
2023-01-22 10:28:13	ga_ls8c_ard_3-2-1_101083_2023-01-22_final
2023-02-17 09:21:55	ga_ls8c_ard_3-2-1_091072_2023-02-16_final
2023-02-21 10:34:24	ga_ls8c_ard_3-2-1_103068_2023-02-21_final
2023-03-10 09:39:48	ga_ls8c_ard_3-2-1_094071_2023-03-10_final
2023-03-13 10:11:06	ga_ls8c_ard_3-2-1_099072_2023-03-13_final
2023-04-20 11:14:02	ga_ls8c_ard_3-2-1_109076_2023-04-20_final
2023-06-21 11:25:09	ga_ls8c_ard_3-2-1_111073_2023-06-21_final
2023-07-04 09:16:44	ga_ls8c_ard_3-2-1_090076_2023-07-03_final
2023-07-15 10:39:32	ga_ls8c_ard_3-2-1_103082_2023-07-15_final
2023-07-28 10:02:45	ga_ls8c_ard_3-2-1_098067_2023-07-28_final
2023-08-30 09:16:30	ga_ls8c_ard_3-2-1_089090_2023-08-29_final
2023-09-06 10:55:09	ga_ls8c_ard_3-2-1_106074_2023-09-06_final
2023-11-10 09:56:53	ga_ls8c_ard_3-2-1_097067_2023-11-10_final
2023-11-11 09:06:52	ga_ls8c_ard_3-2-1_088081_2023-11-10_final
2023-11-25 09:16:57	ga_ls8c_ard_3-2-1_090075_2023-11-24_final
2023-11-30 09:34:15	ga_ls8c_ard_3-2-1_093072_2023-11-30_final
2023-12-02 09:23:04	ga_ls8c_ard_3-2-1_091075_2023-12-01_final
2023-12-31 10:33:48	ga_ls8c_ard_3-2-1_102082_2023-12-31_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