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
2013-05-15 09:53:45	ga_ls8c_ard_3-0-0_096070_2013-05-15_final
2013-06-20 11:09:52	ga_ls8c_ard_3-0-0_108075_2013-06-20_final
2013-06-24 10:42:21	ga_ls8c_ard_3-0-0_104068_2013-06-24_final
2013-07-27 09:48:23	ga_ls8c_ard_3-0-0_095072_2013-07-27_final
2013-08-01 10:11:44	ga_ls8c_ard_3-0-0_098084_2013-08-01_final
2013-09-25 10:15:48	ga_ls8c_ard_3-0-0_099079_2013-09-25_final
2013-10-26 11:08:06	ga_ls8c_ard_3-0-0_108071_2013-10-26_final
2014-02-06 09:35:50	ga_ls8c_ard_3-0-0_093074_2014-02-06_final
2014-03-10 11:18:16	ga_ls8c_ard_3-0-0_109084_2014-03-10_final
2014-04-21 10:10:13	ga_ls8c_ard_3-0-0_099070_2014-04-21_final
2014-06-08 10:13:35	ga_ls8c_ard_3-0-0_099079_2014-06-08_final
2014-06-21 11:19:37	ga_ls8c_ard_3-0-0_110074_2014-06-21_final
2014-10-08 10:47:12	ga_ls8c_ard_3-0-0_105069_2014-10-08_final
2014-10-19 10:28:42	ga_ls8c_ard_3-0-0_102069_2014-10-19_final
2014-11-26 11:34:03	ga_ls8c_ard_3-0-0_112078_2014-11-26_final
2015-01-17 11:05:34	ga_ls8c_ard_3-0-0_108069_2015-01-17_final
2015-05-23 09:37:17	ga_ls8c_ard_3-0-0_094067_2015-05-23_final
2015-06-04 11:46:11	ga_ls8c_ard_3-0-0_114080_2015-06-04_final
2015-07-24 11:30:16	ga_ls8c_ard_3-0-0_112070_2015-07-24_final
2015-11-10 11:03:52	ga_ls8c_ard_3-0-0_107080_2015-11-10_final
2015-11-18 10:09:40	ga_ls8c_ard_3-0-0_099068_2015-11-18_final
2015-12-18 10:27:37	ga_ls8c_ard_3-0-0_101082_2015-12-18_final
2016-01-03 10:24:46	ga_ls8c_ard_3-0-0_101075_2016-01-03_final
2016-01-21 10:13:36	ga_ls8c_ard_3-0-0_099078_2016-01-21_final
2016-01-29 11:00:14	ga_ls8c_ard_3-0-0_107071_2016-01-29_final
2016-04-03 11:41:29	ga_ls8c_ard_3-0-0_114067_2016-04-03_final
2016-04-12 10:03:33	ga_ls8c_ard_3-0-0_097085_2016-04-12_final
2016-05-18 11:13:42	ga_ls8c_ard_3-0-0_109075_2016-05-18_final
2016-06-14 10:55:17	ga_ls8c_ard_3-0-0_106075_2016-06-14_final
2016-07-10 11:31:23	ga_ls8c_ard_3-0-0_112072_2016-07-10_final
2016-08-31 11:11:19	ga_ls8c_ard_3-0-0_108083_2016-08-31_final
2016-09-23 11:17:57	ga_ls8c_ard_3-0-0_109084_2016-09-23_final
2016-09-26 10:07:58	ga_ls8c_ard_3-0-0_098079_2016-09-26_final
2016-10-19 10:09:28	ga_ls8c_ard_3-0-0_099067_2016-10-19_final
2016-12-12 09:34:44	ga_ls8c_ard_3-0-0_093073_2016-12-12_final
2016-12-15 10:03:37	ga_ls8c_ard_3-0-0_098068_2016-12-15_final
2017-01-07 10:14:07	ga_ls8c_ard_3-0-0_099079_2017-01-07_final
2017-02-27 09:07:24	ga_ls8c_ard_3-0-0_088083_2017-02-26_final
2017-07-11 11:45:38	ga_ls8c_ard_3-0-0_114077_2017-07-11_final
2017-07-29 11:31:25	ga_ls8c_ard_3-0-0_112072_2017-07-29_final
2017-12-11 10:03:42	ga_ls8c_ard_3-0-0_097084_2017-12-11_final
2018-02-24 11:23:38	ga_ls8c_ard_3-0-0_110084_2018-02-24_final
2018-03-04 10:27:45	ga_ls8c_ard_3-0-0_102068_2018-03-04_final
2018-04-14 10:27:12	ga_ls8c_ard_3-0-0_101083_2018-04-14_final
2018-05-08 09:33:32	ga_ls8c_ard_3-0-0_093073_2018-05-08_final
2018-06-24 10:27:27	ga_ls8c_ard_3-0-0_102069_2018-06-24_final
2018-09-03 10:35:25	ga_ls8c_ard_3-0-0_103072_2018-09-03_final
2018-09-11 09:45:37	ga_ls8c_ard_3-0-0_095071_2018-09-11_final
2018-09-20 11:19:09	ga_ls8c_ard_3-0-0_110073_2018-09-20_final
2018-10-09 11:51:48	ga_ls8c_ard_3-0-0_115077_2018-10-09_final
2018-10-14 10:27:54	ga_ls8c_ard_3-0-0_102068_2018-10-14_final
2019-01-06 10:09:36	ga_ls8c_ard_3-0-0_098084_2019-01-06_final
2019-01-17 11:24:43	ga_ls8c_ard_3-0-0_111071_2019-01-17_final
2019-04-13 10:48:53	ga_ls8c_ard_3-1-0_105075_2019-04-13_final
2019-04-30 11:31:41	ga_ls8c_ard_3-0-0_112074_2019-04-30_final
2019-05-11 11:16:51	ga_ls8c_ard_3-0-0_109083_2019-05-11_final
2019-09-11 10:55:50	ga_ls8c_ard_3-1-0_106075_2019-09-11_final
2019-10-23 11:29:52	ga_ls8c_ard_3-1-0_112067_2019-10-23_final
2019-11-06 10:05:19	ga_ls8c_ard_3-1-0_098072_2019-11-06_final
2020-01-06 09:34:15	ga_ls8c_ard_3-1-0_093072_2020-01-06_final
2020-01-07 10:17:30	ga_ls8c_ard_3-1-0_100072_2020-01-07_final
2020-03-21 10:55:23	ga_ls8c_ard_3-1-0_106075_2020-03-21_final
2020-05-30 11:58:03	ga_ls8c_ard_3-1-0_116078_2020-05-30_final
2020-06-06 10:22:38	ga_ls8c_ard_3-1-0_101071_2020-06-06_final
2020-06-28 11:24:15	ga_ls8c_ard_3-1-0_111070_2020-06-28_final
2020-07-09 11:10:58	ga_ls8c_ard_3-1-0_108083_2020-07-09_final
2020-08-18 11:58:37	ga_ls8c_ard_3-1-0_116078_2020-08-18_final
2020-09-03 10:20:16	ga_ls8c_ard_3-1-0_100079_2020-09-03_final
2020-09-25 09:45:18	ga_ls8c_ard_3-1-0_094084_2020-09-25_final
2020-09-30 09:58:17	ga_ls8c_ard_3-1-0_097070_2020-09-30_final
2021-01-18 10:10:05	ga_ls8c_ard_3-2-0_099069_2021-01-18_final
2021-06-08 11:17:42	ga_ls8c_ard_3-2-0_110069_2021-06-08_final
2021-06-29 11:42:20	ga_ls8c_ard_3-2-0_113084_2021-06-29_final
2021-07-28 11:10:22	ga_ls8c_ard_3-2-0_108081_2021-07-28_final
2021-08-23 10:03:56	ga_ls8c_ard_3-2-0_098069_2021-08-23_final
2021-09-12 11:20:35	ga_ls8c_ard_3-2-0_110075_2021-09-12_final
2021-10-07 09:34:26	ga_ls8c_ard_3-2-0_093072_2021-10-07_final
2021-11-03 09:17:31	ga_ls8c_ard_3-2-0_090076_2021-11-02_final
2021-12-14 10:49:45	ga_ls8c_ard_3-2-1_105075_2021-12-14_final
2022-02-26 09:52:25	ga_ls8c_ard_3-2-1_095087_2022-02-26_final
2022-07-08 09:28:43	ga_ls8c_ard_3-2-1_091089_2022-07-07_final
2022-07-10 09:13:33	ga_ls8c_ard_3-2-1_089082_2022-07-09_final
2022-08-03 11:40:53	ga_ls8c_ard_3-2-1_113079_2022-08-03_final
2022-08-28 11:32:00	ga_ls8c_ard_3-2-1_112072_2022-08-28_final
2022-09-11 10:04:21	ga_ls8c_ard_3-2-1_098069_2022-09-11_final
2022-10-12 09:23:24	ga_ls8c_ard_3-2-1_091075_2022-10-11_final
2022-10-22 10:04:09	ga_ls8c_ard_3-2-1_097084_2022-10-22_final
2022-10-26 11:14:21	ga_ls8c_ard_3-2-1_109074_2022-10-26_final
2022-11-26 10:30:13	ga_ls8c_ard_3-2-1_102072_2022-11-26_final
2022-12-20 09:41:02	ga_ls8c_ard_3-2-1_094073_2022-12-20_final
2022-12-22 11:07:55	ga_ls8c_ard_3-2-1_108074_2022-12-22_final
2022-12-28 10:31:40	ga_ls8c_ard_3-2-1_102076_2022-12-28_final
2023-03-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2023-03-17_final
2023-04-02 11:25:03	ga_ls8c_ard_3-2-1_111072_2023-04-02_final
2023-04-15 09:16:39	ga_ls8c_ard_3-2-1_090076_2023-04-14_final
2023-04-30 10:09:49	ga_ls8c_ard_3-2-1_099070_2023-04-30_final
2023-09-18 11:19:35	ga_ls8c_ard_3-2-1_110073_2023-09-18_final
2023-12-05 11:32:23	ga_ls8c_ard_3-2-1_112074_2023-12-05_final
2024-01-24 09:40:40	ga_ls8c_ard_3-2-1_094073_2024-01-24_final
2024-02-03 10:20:11	ga_ls8c_ard_3-2-1_100079_2024-02-03_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