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
2013-04-14 10:36:04	ga_ls8c_ard_3-0-0_103068_2013-04-14_final
2013-08-16 11:06:10	ga_ls8c_ard_3-0-0_107081_2013-08-16_final
2013-11-08 10:39:59	ga_ls8c_ard_3-0-0_103078_2013-11-08_final
2013-11-11 11:08:53	ga_ls8c_ard_3-0-0_108073_2013-11-11_final
2014-03-24 11:26:02	ga_ls8c_ard_3-0-0_111073_2014-03-24_final
2014-03-26 11:17:36	ga_ls8c_ard_3-0-0_109083_2014-03-26_final
2014-07-11 10:55:26	ga_ls8c_ard_3-0-0_106075_2014-07-11_final
2014-08-06 11:32:17	ga_ls8c_ard_3-0-0_112074_2014-08-06_final
2014-10-04 11:14:18	ga_ls8c_ard_3-0-0_109075_2014-10-04_final
2014-11-03 11:24:17	ga_ls8c_ard_3-0-0_111069_2014-11-03_final
2015-03-27 09:51:53	ga_ls8c_ard_3-0-0_095087_2015-03-27_final
2015-04-19 11:30:51	ga_ls8c_ard_3-0-0_112072_2015-04-19_final
2015-06-15 11:24:58	ga_ls8c_ard_3-0-0_111073_2015-06-15_final
2015-09-27 10:35:51	ga_ls8c_ard_3-0-0_103072_2015-09-27_final
2015-10-05 11:25:18	ga_ls8c_ard_3-0-0_111072_2015-10-05_final
2015-11-02 11:52:31	ga_ls8c_ard_3-0-0_115078_2015-11-02_final
2016-02-24 11:41:56	ga_ls8c_ard_3-0-0_113083_2016-02-24_final
2016-02-28 11:14:01	ga_ls8c_ard_3-0-0_109075_2016-02-28_final
2016-03-08 11:10:13	ga_ls8c_ard_3-0-0_108081_2016-03-08_final
2016-04-21 11:31:00	ga_ls8c_ard_3-0-0_112072_2016-04-21_final
2016-04-24 10:26:35	ga_ls8c_ard_3-0-0_101081_2016-04-24_final
2016-05-15 09:06:17	ga_ls8c_ard_3-1-0_088081_2016-05-14_final
2016-09-15 10:26:07	ga_ls8c_ard_3-0-0_101078_2016-09-15_final
2016-12-17 11:31:44	ga_ls8c_ard_3-0-0_112072_2016-12-17_final
2017-01-04 11:20:30	ga_ls8c_ard_3-0-0_110075_2017-01-04_final
2017-01-19 10:34:47	ga_ls8c_ard_3-0-0_103069_2017-01-19_final
2017-02-10 11:38:24	ga_ls8c_ard_3-0-0_113074_2017-02-10_final
2017-03-25 09:40:14	ga_ls8c_ard_3-0-0_094073_2017-03-25_final
2017-03-30 11:35:15	ga_ls8c_ard_3-0-0_113067_2017-03-30_final
2017-05-30 11:07:56	ga_ls8c_ard_3-0-0_108076_2017-05-30_final
2017-06-15 11:08:03	ga_ls8c_ard_3-0-0_108076_2017-06-15_final
2017-08-09 11:16:08	ga_ls8c_ard_3-0-0_109080_2017-08-09_final
2017-09-09 10:28:35	ga_ls8c_ard_3-0-0_102069_2017-09-09_final
2017-10-27 10:33:34	ga_ls8c_ard_3-0-0_102081_2017-10-27_final
2017-11-13 11:14:47	ga_ls8c_ard_3-0-0_109076_2017-11-13_final
2017-11-22 11:05:45	ga_ls8c_ard_3-0-0_108069_2017-11-22_final
2017-12-29 09:46:10	ga_ls8c_ard_3-0-0_095071_2017-12-29_final
2017-12-31 11:17:52	ga_ls8c_ard_3-0-0_109084_2017-12-31_final
2018-01-13 09:07:12	ga_ls8c_ard_3-0-0_088082_2018-01-12_final
2018-01-16 11:13:22	ga_ls8c_ard_3-0-0_109073_2018-01-16_final
2018-02-01 11:13:12	ga_ls8c_ard_3-0-0_109073_2018-02-01_final
2018-03-11 10:33:51	ga_ls8c_ard_3-0-0_103068_2018-03-11_final
2018-05-29 11:31:06	ga_ls8c_ard_3-0-0_112074_2018-05-29_final
2018-06-07 09:49:11	ga_ls8c_ard_3-0-0_095082_2018-06-07_final
2018-06-08 10:27:16	ga_ls8c_ard_3-0-0_102069_2018-06-08_final
2018-07-17 10:33:26	ga_ls8c_ard_3-0-0_103068_2018-07-17_final
2018-07-17 10:35:02	ga_ls8c_ard_3-0-0_103072_2018-07-17_final
2018-09-11 11:22:54	ga_ls8c_ard_3-0-0_111067_2018-09-11_final
2018-12-07 11:32:34	ga_ls8c_ard_3-0-0_112075_2018-12-07_final
2018-12-20 11:01:14	ga_ls8c_ard_3-0-0_107074_2018-12-20_final
2019-02-09 11:31:13	ga_ls8c_ard_3-0-0_112072_2019-02-09_final
2019-03-17 11:05:08	ga_ls8c_ard_3-1-0_108069_2019-03-17_final
2019-04-07 11:24:00	ga_ls8c_ard_3-1-0_111070_2019-04-07_final
2019-07-20 10:37:24	ga_ls8c_ard_3-1-0_103076_2019-07-20_final
2019-10-16 11:23:41	ga_ls8c_ard_3-1-0_111067_2019-10-16_final
2019-10-25 11:19:06	ga_ls8c_ard_3-1-0_110071_2019-10-25_final
2019-12-03 11:26:00	ga_ls8c_ard_3-1-0_111073_2019-12-03_final
2019-12-25 10:49:16	ga_ls8c_ard_3-1-0_105074_2019-12-25_final
2020-01-18 11:38:37	ga_ls8c_ard_3-1-0_113074_2020-01-18_final
2020-03-23 10:41:25	ga_ls8c_ard_3-1-0_104071_2020-03-23_final
2020-03-28 11:05:05	ga_ls8c_ard_3-1-0_107084_2020-03-28_final
2020-09-25 11:18:36	ga_ls8c_ard_3-1-0_110070_2020-09-25_final
2020-10-03 10:28:47	ga_ls8c_ard_3-1-0_102069_2020-10-03_final
2020-10-15 10:55:55	ga_ls8c_ard_3-1-0_106075_2020-10-15_final
2020-12-06 10:32:01	ga_ls8c_ard_3-1-0_102077_2020-12-06_final
2020-12-20 09:07:28	ga_ls8c_ard_3-2-0_088082_2020-12-19_final
2021-03-11 09:50:41	ga_ls8c_ard_3-2-0_095083_2021-03-11_final
2021-03-17 09:15:56	ga_ls8c_ard_3-2-0_089089_2021-03-16_final
2021-05-21 11:31:55	ga_ls8c_ard_3-2-0_112074_2021-05-21_final
2021-06-18 10:16:45	ga_ls8c_ard_3-2-0_100071_2021-06-18_final
2021-06-27 10:13:48	ga_ls8c_ard_3-2-0_099079_2021-06-27_final
2021-07-03 09:39:56	ga_ls8c_ard_3-2-0_093087_2021-07-03_final
2021-07-13 10:08:38	ga_ls8c_ard_3-2-1_099066_2021-07-13_final
2021-07-22 10:03:43	ga_ls8c_ard_3-2-0_098069_2021-07-22_final
2021-08-18 11:24:39	ga_ls8c_ard_3-2-0_111070_2021-08-18_final
2021-09-15 10:11:24	ga_ls8c_ard_3-2-0_099072_2021-09-15_final
2021-10-06 10:33:39	ga_ls8c_ard_3-2-0_102081_2021-10-06_final
2021-11-17 09:33:23	ga_ls8c_ard_3-2-0_092085_2021-11-17_final
2022-01-23 09:57:21	ga_ls8c_ard_3-2-1_097068_2022-01-23_final
2022-03-10 10:10:18	ga_ls8c_ard_3-2-1_099070_2022-03-10_final
2022-07-07 10:18:21	ga_ls8c_ard_3-2-1_100074_2022-07-07_final
2022-09-27 10:10:47	ga_ls8c_ard_3-2-1_098085_2022-09-27_final
2022-10-10 11:17:04	ga_ls8c_ard_3-2-1_109081_2022-10-10_final
2022-10-20 10:14:29	ga_ls8c_ard_3-2-1_099079_2022-10-20_final
2022-10-26 09:37:51	ga_ls8c_ard_3-2-1_093080_2022-10-26_final
2022-11-06 10:53:49	ga_ls8c_ard_3-2-1_106069_2022-11-06_final
2022-12-01 09:15:04	ga_ls8c_ard_3-2-1_089085_2022-11-30_final
2022-12-03 10:36:24	ga_ls8c_ard_3-2-1_103072_2022-12-03_final
2022-12-07 10:09:17	ga_ls8c_ard_3-2-1_099066_2022-12-07_final
2023-03-06 11:45:26	ga_ls8c_ard_3-2-1_114076_2023-03-06_final
2023-03-12 11:07:07	ga_ls8c_ard_3-2-1_108073_2023-03-12_final
2023-03-17 09:52:20	ga_ls8c_ard_3-2-1_095087_2023-03-17_final
2023-04-25 09:52:06	ga_ls8c_ard_3-2-1_096072_2023-04-25_final
2023-06-05 11:23:27	ga_ls8c_ard_3-2-1_111069_2023-06-05_final
2023-06-06 10:27:26	ga_ls8c_ard_3-2-1_102068_2023-06-06_final
2023-08-06 11:37:30	ga_ls8c_ard_3-2-1_113072_2023-08-06_final
2023-12-02 11:01:33	ga_ls8c_ard_3-2-1_107074_2023-12-02_final
2023-12-09 09:33:10	ga_ls8c_ard_3-2-1_092085_2023-12-09_final
2023-12-26 11:51:24	ga_ls8c_ard_3-2-1_115075_2023-12-26_final
2024-01-17 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-17_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