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
2013-12-22 11:01:14	ga_ls8c_ard_3-0-0_107070_2013-12-22_final
2014-02-13 11:19:10	ga_ls8c_ard_3-0-0_110070_2014-02-13_final
2014-05-10 09:06:20	ga_ls8c_ard_3-1-0_088081_2014-05-09_final
2014-05-29 11:14:05	ga_ls8c_ard_3-0-0_109076_2014-05-29_final
2014-07-14 09:50:40	ga_ls8c_ard_3-0-0_095083_2014-07-14_final
2014-07-23 11:18:59	ga_ls8c_ard_3-0-0_110072_2014-07-23_final
2015-02-21 11:37:28	ga_ls8c_ard_3-0-0_113072_2015-02-21_final
2015-03-26 09:06:15	ga_ls8c_ard_3-1-0_088081_2015-03-25_final
2015-07-01 11:28:16	ga_ls8c_ard_3-0-0_111081_2015-07-01_final
2015-08-20 11:14:16	ga_ls8c_ard_3-0-0_109076_2015-08-20_final
2015-09-02 09:06:09	ga_ls8c_ard_3-0-0_088080_2015-09-01_final
2015-10-05 11:30:06	ga_ls8c_ard_3-0-0_111084_2015-10-05_final
2015-12-26 11:12:16	ga_ls8c_ard_3-0-0_109070_2015-12-26_final
2016-01-02 09:41:07	ga_ls8c_ard_3-0-0_094074_2016-01-02_final
2016-02-28 11:12:25	ga_ls8c_ard_3-0-0_109071_2016-02-28_final
2016-06-10 11:16:48	ga_ls8c_ard_3-0-0_110067_2016-06-10_final
2016-06-20 11:57:31	ga_ls8c_ard_3-0-0_116076_2016-06-20_final
2016-11-19 11:06:17	ga_ls8c_ard_3-0-0_108070_2016-11-19_final
2016-11-28 11:01:42	ga_ls8c_ard_3-0-0_107074_2016-11-28_final
2017-01-11 09:50:34	ga_ls8c_ard_3-0-0_095082_2017-01-11_final
2017-01-30 11:58:39	ga_ls8c_ard_3-0-0_116078_2017-01-30_final
2017-02-12 09:52:20	ga_ls8c_ard_3-0-0_095087_2017-02-12_final
2017-03-27 11:06:45	ga_ls8c_ard_3-0-0_108073_2017-03-27_final
2017-04-08 11:31:47	ga_ls8c_ard_3-0-0_112074_2017-04-08_final
2017-04-19 11:13:56	ga_ls8c_ard_3-0-0_109076_2017-04-19_final
2017-07-17 11:08:11	ga_ls8c_ard_3-0-0_108076_2017-07-17_final
2017-09-01 11:17:13	ga_ls8c_ard_3-0-0_110067_2017-09-01_final
2017-09-24 11:25:52	ga_ls8c_ard_3-0-0_111073_2017-09-24_final
2017-11-07 11:51:29	ga_ls8c_ard_3-0-0_115075_2017-11-07_final
2018-05-21 09:05:16	ga_ls8c_ard_3-0-0_088080_2018-05-20_final
2018-07-13 11:03:19	ga_ls8c_ard_3-0-0_107081_2018-07-13_final
2018-10-13 11:29:06	ga_ls8c_ard_3-0-0_111082_2018-10-13_final
2018-12-19 11:58:27	ga_ls8c_ard_3-0-0_116078_2018-12-19_final
2018-12-20 11:00:26	ga_ls8c_ard_3-0-0_107072_2018-12-20_final
2019-02-22 10:59:29	ga_ls8c_ard_3-0-0_107070_2019-02-22_final
2019-03-21 09:06:43	ga_ls8c_ard_3-1-0_088082_2019-03-20_final
2019-04-10 11:58:05	ga_ls8c_ard_3-1-0_116078_2019-04-10_final
2019-04-25 11:12:43	ga_ls8c_ard_3-0-0_109073_2019-04-25_final
2019-05-11 11:11:15	ga_ls8c_ard_3-0-0_109069_2019-05-11_final
2019-05-24 09:06:00	ga_ls8c_ard_3-0-0_088080_2019-05-23_final
2019-06-28 11:17:36	ga_ls8c_ard_3-1-0_109084_2019-06-28_final
2019-09-07 11:17:20	ga_ls8c_ard_3-1-0_110067_2019-09-07_final
2019-09-23 11:18:38	ga_ls8c_ard_3-1-0_110070_2019-09-23_final
2020-01-09 11:42:02	ga_ls8c_ard_3-1-0_114067_2020-01-09_final
2020-01-15 11:07:43	ga_ls8c_ard_3-1-0_108074_2020-01-15_final
2020-02-21 09:46:49	ga_ls8c_ard_3-1-0_095073_2020-02-21_final
2020-03-24 09:50:10	ga_ls8c_ard_3-1-0_095082_2020-03-24_final
2020-09-25 09:40:07	ga_ls8c_ard_3-1-0_094071_2020-09-25_final
2020-10-29 11:07:28	ga_ls8c_ard_3-1-0_108073_2020-10-29_final
2020-11-12 11:19:23	ga_ls8c_ard_3-1-0_110072_2020-11-12_final
2021-03-23 10:08:56	ga_ls8c_ard_3-2-0_099067_2021-03-23_final
2021-03-27 11:25:29	ga_ls8c_ard_3-2-0_111073_2021-03-27_final
2021-04-05 11:23:15	ga_ls8c_ard_3-2-0_110083_2021-04-05_final
2021-04-12 09:52:06	ga_ls8c_ard_3-2-0_095087_2021-04-12_final
2021-06-06 11:32:03	ga_ls8c_ard_3-2-0_112074_2021-06-06_final
2021-06-29 11:41:32	ga_ls8c_ard_3-2-0_113082_2021-06-29_final
2021-07-01 09:48:18	ga_ls8c_ard_3-2-0_095077_2021-07-01_final
2021-08-23 11:47:36	ga_ls8c_ard_3-2-0_114081_2021-08-23_final
2021-09-11 10:38:07	ga_ls8c_ard_3-2-0_103077_2021-09-11_final
2021-09-26 11:35:23	ga_ls8c_ard_3-2-0_112081_2021-09-26_final
2021-09-28 09:40:57	ga_ls8c_ard_3-2-0_094073_2021-09-28_final
2021-10-04 10:40:48	ga_ls8c_ard_3-2-0_104068_2021-10-04_final
2021-10-07 11:14:55	ga_ls8c_ard_3-2-0_109076_2021-10-07_final
2021-10-17 10:10:21	ga_ls8c_ard_3-2-0_099069_2021-10-17_final
2021-11-10 09:22:28	ga_ls8c_ard_3-2-0_091073_2021-11-09_final
2021-12-04 10:09:30	ga_ls8c_ard_3-2-0_099067_2021-12-04_final
2021-12-06 10:02:43	ga_ls8c_ard_3-2-1_097081_2021-12-06_final
2022-01-20 09:28:51	ga_ls8c_ard_3-2-1_092074_2022-01-19_final
2022-02-11 10:28:10	ga_ls8c_ard_3-2-1_102068_2022-02-11_final
2022-02-15 11:47:06	ga_ls8c_ard_3-2-1_114080_2022-02-15_final
2022-03-27 09:21:40	ga_ls8c_ard_3-2-1_090088_2022-03-26_final
2022-05-05 11:05:12	ga_ls8c_ard_3-2-1_107084_2022-05-05_final
2022-05-10 11:19:00	ga_ls8c_ard_3-2-1_110072_2022-05-10_final
2022-06-07 10:05:01	ga_ls8c_ard_3-2-1_098072_2022-06-07_final
2022-07-04 11:23:56	ga_ls8c_ard_3-2-1_111068_2022-07-04_final
2022-07-31 11:06:22	ga_ls8c_ard_3-2-1_108070_2022-07-31_final
2022-09-10 11:05:33	ga_ls8c_ard_3-2-1_107083_2022-09-10_final
2023-01-17 10:03:14	ga_ls8c_ard_3-2-1_098067_2023-01-17_final
2023-01-21 09:44:08	ga_ls8c_ard_3-2-1_094081_2023-01-21_final
2023-03-01 09:46:51	ga_ls8c_ard_3-2-1_095073_2023-03-01_final
2023-03-05 09:26:54	ga_ls8c_ard_3-2-1_091085_2023-03-04_final
2023-03-08 09:52:34	ga_ls8c_ard_3-2-1_096072_2023-03-08_final
2023-03-14 09:22:39	ga_ls8c_ard_3-2-1_090090_2023-03-13_final
2023-03-22 10:02:49	ga_ls8c_ard_3-2-1_098067_2023-03-22_final
2023-04-04 11:12:15	ga_ls8c_ard_3-2-1_109071_2023-04-04_final
2023-04-09 11:31:52	ga_ls8c_ard_3-2-1_112074_2023-04-09_final
2023-04-27 11:19:49	ga_ls8c_ard_3-2-1_110075_2023-04-27_final
2023-05-03 09:06:35	ga_ls8c_ard_3-2-1_088082_2023-05-02_final
2023-05-15 11:06:01	ga_ls8c_ard_3-2-1_108072_2023-05-15_final
2023-05-27 09:56:17	ga_ls8c_ard_3-2-1_096083_2023-05-27_final
2023-06-02 09:16:48	ga_ls8c_ard_3-2-1_090077_2023-06-01_final
2023-06-25 09:21:59	ga_ls8c_ard_3-2-1_091074_2023-06-24_final
2023-07-11 09:22:58	ga_ls8c_ard_3-2-1_091076_2023-07-10_final
2023-07-28 10:04:45	ga_ls8c_ard_3-2-1_098072_2023-07-28_final
2023-10-25 11:42:14	ga_ls8c_ard_3-2-1_113083_2023-10-25_final
2023-10-31 11:00:23	ga_ls8c_ard_3-2-1_107071_2023-10-31_final
2024-02-09 11:19:37	ga_ls8c_ard_3-2-1_110073_2024-02-09_final
2024-02-10 10:27:59	ga_ls8c_ard_3-2-1_101083_2024-02-10_final
2024-02-20 09:22:33	ga_ls8c_ard_3-2-1_091074_2024-02-19_final
2024-02-20 09:22:57	ga_ls8c_ard_3-2-1_091075_2024-02-19_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