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
2013-04-17 11:07:46	ga_ls8c_ard_3-0-0_108070_2013-04-17_final
2014-02-06 11:13:31	ga_ls8c_ard_3-0-0_109071_2014-02-06_final
2014-02-15 11:06:24	ga_ls8c_ard_3-0-0_108069_2014-02-15_final
2014-03-05 10:54:09	ga_ls8c_ard_3-0-0_106070_2014-03-05_final
2014-05-22 11:05:27	ga_ls8c_ard_3-0-0_108070_2014-05-22_final
2014-08-14 09:07:11	ga_ls8c_ard_3-0-0_088082_2014-08-13_final
2014-10-13 11:06:10	ga_ls8c_ard_3-0-0_108070_2014-10-13_final
2014-11-03 09:46:36	ga_ls8c_ard_3-0-0_095072_2014-11-03_final
2014-11-26 11:30:52	ga_ls8c_ard_3-0-0_112070_2014-11-26_final
2015-03-16 11:41:26	ga_ls8c_ard_3-0-0_114067_2015-03-16_final
2015-05-16 11:14:20	ga_ls8c_ard_3-0-0_109078_2015-05-16_final
2015-07-08 11:31:45	ga_ls8c_ard_3-0-0_112074_2015-07-08_final
2015-08-18 09:45:20	ga_ls8c_ard_3-0-0_095070_2015-08-18_final
2015-09-12 09:38:08	ga_ls8c_ard_3-0-0_094067_2015-09-12_final
2015-11-21 09:06:53	ga_ls8c_ard_3-1-0_088081_2015-11-20_final
2015-12-13 11:45:57	ga_ls8c_ard_3-0-0_114077_2015-12-13_final
2016-09-14 09:40:27	ga_ls8c_ard_3-0-0_094072_2016-09-14_final
2016-10-31 10:36:12	ga_ls8c_ard_3-0-0_103072_2016-10-31_final
2016-11-24 09:44:45	ga_ls8c_ard_3-0-0_095067_2016-11-24_final
2017-02-03 11:32:17	ga_ls8c_ard_3-0-0_112074_2017-02-03_final
2017-02-05 09:45:01	ga_ls8c_ard_3-0-0_094084_2017-02-05_final
2017-04-17 09:45:26	ga_ls8c_ard_3-0-0_095071_2017-04-17_final
2017-10-07 10:55:03	ga_ls8c_ard_3-0-0_106073_2017-10-07_final
2017-10-10 09:52:16	ga_ls8c_ard_3-0-0_095086_2017-10-10_final
2017-11-26 09:06:54	ga_ls8c_ard_3-1-0_088081_2017-11-25_final
2018-03-03 09:49:17	ga_ls8c_ard_3-0-0_095080_2018-03-03_final
2018-09-27 11:23:48	ga_ls8c_ard_3-0-0_111069_2018-09-27_final
2018-10-25 11:52:18	ga_ls8c_ard_3-0-0_115078_2018-10-25_final
2019-01-07 10:48:52	ga_ls8c_ard_3-0-0_105074_2019-01-07_final
2019-02-01 10:40:12	ga_ls8c_ard_3-0-0_104068_2019-02-01_final
2019-03-02 11:52:05	ga_ls8c_ard_3-0-0_115078_2019-03-02_final
2019-03-06 11:23:45	ga_ls8c_ard_3-0-0_111069_2019-03-06_final
2019-04-20 10:55:24	ga_ls8c_ard_3-0-0_106076_2019-04-20_final
2019-05-17 10:34:14	ga_ls8c_ard_3-0-0_103069_2019-05-17_final
2019-08-06 09:39:54	ga_ls8c_ard_3-1-0_094071_2019-08-06_final
2020-01-17 10:54:57	ga_ls8c_ard_3-1-0_106073_2020-01-17_final
2020-01-18 11:37:49	ga_ls8c_ard_3-1-0_113072_2020-01-18_final
2020-02-27 10:48:59	ga_ls8c_ard_3-1-0_105074_2020-02-27_final
2020-04-05 11:51:16	ga_ls8c_ard_3-1-0_115076_2020-04-05_final
2020-05-11 11:25:05	ga_ls8c_ard_3-1-0_111073_2020-05-11_final
2020-08-17 11:14:09	ga_ls8c_ard_3-1-0_109075_2020-08-17_final
2020-09-12 10:08:57	ga_ls8c_ard_3-2-1_099066_2020-09-12_final
2020-10-02 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-10-02_final
2020-11-25 10:46:56	ga_ls8c_ard_3-1-0_105068_2020-11-25_final
2021-04-17 10:03:49	ga_ls8c_ard_3-2-0_098070_2021-04-17_final
2021-04-18 09:11:47	ga_ls8c_ard_3-2-0_089079_2021-04-17_final
2021-04-28 09:45:59	ga_ls8c_ard_3-2-0_095072_2021-04-28_final
2021-05-08 10:22:11	ga_ls8c_ard_3-2-0_101070_2021-05-08_final
2021-05-27 10:55:41	ga_ls8c_ard_3-2-0_106076_2021-05-27_final
2021-06-28 10:52:41	ga_ls8c_ard_3-2-0_106068_2021-06-28_final
2021-07-11 10:25:47	ga_ls8c_ard_3-2-0_101078_2021-07-11_final
2021-07-29 10:13:57	ga_ls8c_ard_3-2-0_099079_2021-07-29_final
2021-07-29 11:52:02	ga_ls8c_ard_3-2-0_115077_2021-07-29_final
2021-07-30 10:55:37	ga_ls8c_ard_3-2-0_106075_2021-07-30_final
2021-08-09 11:35:10	ga_ls8c_ard_3-2-0_112081_2021-08-09_final
2021-08-16 11:35:48	ga_ls8c_ard_3-2-0_113067_2021-08-16_final
2021-11-02 10:09:33	ga_ls8c_ard_3-2-0_099067_2021-11-02_final
2021-11-22 09:46:21	ga_ls8c_ard_3-2-0_095071_2021-11-22_final
2021-12-14 09:10:28	ga_ls8c_ard_3-2-1_089074_2021-12-13_final
2021-12-23 10:44:44	ga_ls8c_ard_3-2-1_104078_2021-12-23_final
2022-01-14 10:04:22	ga_ls8c_ard_3-2-1_098070_2022-01-14_final
2022-02-12 09:34:32	ga_ls8c_ard_3-2-1_093073_2022-02-12_final
2022-04-16 10:33:06	ga_ls8c_ard_3-2-1_102081_2022-04-16_final
2022-05-30 09:22:15	ga_ls8c_ard_3-2-1_090089_2022-05-29_final
2022-06-13 09:34:24	ga_ls8c_ard_3-2-1_092088_2022-06-13_final
2022-08-01 10:11:33	ga_ls8c_ard_3-2-1_099072_2022-08-01_final
2022-09-02 10:10:27	ga_ls8c_ard_3-2-1_099069_2022-09-02_final
2022-09-06 11:29:50	ga_ls8c_ard_3-2-1_111082_2022-09-06_final
2022-10-02 10:23:43	ga_ls8c_ard_3-2-1_101071_2022-10-02_final
2022-10-12 09:22:12	ga_ls8c_ard_3-2-1_091072_2022-10-11_final
2022-11-05 10:10:58	ga_ls8c_ard_3-2-1_099070_2022-11-05_final
2022-12-23 10:12:42	ga_ls8c_ard_3-2-1_099075_2022-12-23_final
2022-12-29 11:14:32	ga_ls8c_ard_3-2-1_109075_2022-12-29_final
2023-01-30 09:34:02	ga_ls8c_ard_3-2-1_093071_2023-01-30_final
2023-03-08 09:51:46	ga_ls8c_ard_3-2-1_096070_2023-03-08_final
2023-03-10 09:39:48	ga_ls8c_ard_3-2-1_094071_2023-03-10_final
2023-03-23 09:15:57	ga_ls8c_ard_3-2-1_089089_2023-03-22_final
2023-03-25 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-03-25_final
2023-05-14 10:24:46	ga_ls8c_ard_3-2-1_101077_2023-05-14_final
2023-06-20 09:05:48	ga_ls8c_ard_3-2-1_088080_2023-06-19_final
2023-06-24 11:58:05	ga_ls8c_ard_3-2-1_116078_2023-06-24_final
2023-07-19 10:08:26	ga_ls8c_ard_3-2-1_099066_2023-07-19_final
2023-07-29 09:15:31	ga_ls8c_ard_3-2-1_089088_2023-07-28_final
2023-08-09 10:33:07	ga_ls8c_ard_3-2-1_102081_2023-08-09_final
2023-09-06 09:17:28	ga_ls8c_ard_3-2-1_090077_2023-09-05_final
2023-09-12 10:19:44	ga_ls8c_ard_3-2-1_100078_2023-09-12_final
2023-09-25 11:24:35	ga_ls8c_ard_3-2-1_111070_2023-09-25_final
2023-10-08 09:18:02	ga_ls8c_ard_3-2-1_090078_2023-10-07_final
2023-10-09 10:03:42	ga_ls8c_ard_3-2-1_097084_2023-10-09_final
2023-10-20 09:39:58	ga_ls8c_ard_3-2-1_094071_2023-10-20_final
2023-10-30 10:19:55	ga_ls8c_ard_3-2-1_100078_2023-10-30_final
2023-11-05 09:40:01	ga_ls8c_ard_3-2-1_094071_2023-11-05_final
2024-01-03 09:21:47	ga_ls8c_ard_3-2-1_091072_2024-01-02_final
2024-01-10 09:31:34	ga_ls8c_ard_3-2-1_092081_2024-01-10_final
2024-01-30 10:46:03	ga_ls8c_ard_3-2-1_104082_2024-01-30_final
2024-02-27 09:27:53	ga_ls8c_ard_3-2-1_092072_2024-02-26_final
2024-02-27 09:32:16	ga_ls8c_ard_3-2-1_092083_2024-02-27_final
2024-02-28 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-02-28_final
2024-03-07 09:21:33	ga_ls8c_ard_3-2-1_091072_2024-03-06_final
2024-03-20 10:33:25	ga_ls8c_ard_3-2-1_102082_2024-03-20_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