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
2013-04-13 11:36:51	ga_ls8c_ard_3-0-0_112081_2013-04-13_final
2013-05-31 09:52:39	ga_ls8c_ard_3-0-0_096067_2013-05-31_final
2013-10-10 11:09:50	ga_ls8c_ard_3-0-0_108075_2013-10-10_final
2013-11-12 10:11:39	ga_ls8c_ard_3-0-0_099069_2013-11-12_final
2014-01-25 10:52:55	ga_ls8c_ard_3-0-0_105081_2014-01-25_final
2014-01-27 10:40:33	ga_ls8c_ard_3-0-0_103081_2014-01-27_final
2014-06-01 10:08:56	ga_ls8c_ard_3-0-0_098083_2014-06-01_final
2014-06-16 09:28:11	ga_ls8c_ard_3-0-0_091089_2014-06-15_final
2015-05-11 10:51:27	ga_ls8c_ard_3-0-0_106067_2015-05-11_final
2015-08-30 10:15:19	ga_ls8c_ard_3-0-0_099083_2015-08-30_final
2015-09-24 10:09:43	ga_ls8c_ard_3-0-0_098084_2015-09-24_final
2015-11-06 11:24:36	ga_ls8c_ard_3-0-0_111070_2015-11-06_final
2015-12-03 09:28:48	ga_ls8c_ard_3-0-0_092074_2015-12-02_final
2015-12-15 11:30:48	ga_ls8c_ard_3-0-0_112070_2015-12-15_final
2016-01-14 10:09:49	ga_ls8c_ard_3-0-0_098084_2016-01-14_final
2016-01-14 11:47:30	ga_ls8c_ard_3-0-0_114081_2016-01-14_final
2016-01-21 10:11:13	ga_ls8c_ard_3-0-0_099072_2016-01-21_final
2016-02-15 10:04:29	ga_ls8c_ard_3-0-0_098071_2016-02-15_final
2016-04-14 11:24:05	ga_ls8c_ard_3-0-0_111070_2016-04-14_final
2016-06-12 09:33:09	ga_ls8c_ard_3-0-0_092086_2016-06-12_final
2016-06-14 10:52:29	ga_ls8c_ard_3-0-0_106068_2016-06-14_final
2016-08-20 11:23:48	ga_ls8c_ard_3-0-0_111068_2016-08-20_final
2016-10-05 09:57:50	ga_ls8c_ard_3-0-0_097069_2016-10-05_final
2017-02-25 10:52:40	ga_ls8c_ard_3-0-0_106068_2017-02-25_final
2017-03-01 10:27:55	ga_ls8c_ard_3-0-0_102068_2017-03-01_final
2017-05-30 11:07:08	ga_ls8c_ard_3-1-0_108074_2017-05-30_final
2017-06-29 09:40:24	ga_ls8c_ard_3-0-0_094073_2017-06-29_final
2017-07-26 09:20:00	ga_ls8c_ard_3-0-0_091068_2017-07-25_final
2017-08-23 09:44:29	ga_ls8c_ard_3-0-0_095067_2017-08-23_final
2017-09-08 09:44:31	ga_ls8c_ard_3-0-0_095067_2017-09-08_final
2017-11-08 10:53:28	ga_ls8c_ard_3-0-0_106069_2017-11-08_final
2017-11-23 10:10:07	ga_ls8c_ard_3-0-0_099069_2017-11-23_final
2018-01-31 10:29:57	ga_ls8c_ard_3-0-0_102073_2018-01-31_final
2018-02-01 09:40:19	ga_ls8c_ard_3-0-0_093088_2018-02-01_final
2018-02-20 10:03:55	ga_ls8c_ard_3-0-0_098070_2018-02-20_final
2018-05-22 11:24:37	ga_ls8c_ard_3-0-0_111073_2018-05-22_final
2018-05-31 09:38:37	ga_ls8c_ard_3-0-0_094071_2018-05-31_final
2018-06-27 09:27:29	ga_ls8c_ard_3-0-0_091089_2018-06-26_final
2018-07-22 10:51:36	ga_ls8c_ard_3-0-0_106067_2018-07-22_final
2018-09-01 10:51:45	ga_ls8c_ard_3-0-0_105082_2018-09-01_final
2018-10-04 11:31:14	ga_ls8c_ard_3-0-0_112072_2018-10-04_final
2018-11-10 11:51:32	ga_ls8c_ard_3-0-0_115076_2018-11-10_final
2018-11-25 09:27:48	ga_ls8c_ard_3-0-0_092072_2018-11-24_final
2018-12-16 09:44:17	ga_ls8c_ard_3-0-0_095067_2018-12-16_final
2019-01-09 10:35:42	ga_ls8c_ard_3-0-0_103072_2019-01-09_final
2019-01-13 11:52:39	ga_ls8c_ard_3-0-0_115079_2019-01-13_final
2019-04-23 09:43:49	ga_ls8c_ard_3-0-0_095067_2019-04-23_final
2019-05-03 10:26:55	ga_ls8c_ard_3-0-0_101082_2019-05-03_final
2019-05-29 11:04:39	ga_ls8c_ard_3-0-0_107083_2019-05-29_final
2019-06-14 09:19:54	ga_ls8c_ard_3-1-0_091068_2019-06-13_final
2019-08-15 11:14:15	ga_ls8c_ard_3-1-0_109075_2019-08-15_final
2019-10-25 11:24:41	ga_ls8c_ard_3-1-0_110085_2019-10-25_final
2020-01-21 10:29:25	ga_ls8c_ard_3-1-0_102071_2020-01-21_final
2020-02-11 10:49:03	ga_ls8c_ard_3-1-0_105074_2020-02-11_final
2020-02-29 10:35:49	ga_ls8c_ard_3-1-0_103072_2020-02-29_final
2020-03-15 11:32:07	ga_ls8c_ard_3-1-0_112074_2020-03-15_final
2020-03-20 11:51:01	ga_ls8c_ard_3-1-0_115075_2020-03-20_final
2020-03-28 09:23:25	ga_ls8c_ard_3-1-0_091077_2020-03-27_final
2020-04-05 10:09:59	ga_ls8c_ard_3-1-0_099070_2020-04-05_final
2020-04-27 09:33:33	ga_ls8c_ard_3-1-0_093072_2020-04-27_final
2020-07-26 10:09:03	ga_ls8c_ard_3-1-0_099067_2020-07-26_final
2020-10-06 09:20:25	ga_ls8c_ard_3-1-0_091068_2020-10-05_final
2020-10-08 10:49:20	ga_ls8c_ard_3-1-0_105074_2020-10-08_final
2021-01-03 10:53:03	ga_ls8c_ard_3-2-0_106068_2021-01-03_final
2021-04-22 10:22:43	ga_ls8c_ard_3-2-0_101071_2021-04-22_final
2021-06-09 10:25:17	ga_ls8c_ard_3-2-0_101077_2021-06-09_final
2021-06-15 11:23:56	ga_ls8c_ard_3-2-0_111069_2021-06-15_final
2021-06-24 09:40:06	ga_ls8c_ard_3-2-0_094072_2021-06-24_final
2021-07-18 10:33:11	ga_ls8c_ard_3-2-0_102081_2021-07-18_final
2021-09-20 10:33:57	ga_ls8c_ard_3-2-0_102082_2021-09-20_final
2021-10-15 10:28:18	ga_ls8c_ard_3-2-0_101083_2021-10-15_final
2021-11-17 11:07:53	ga_ls8c_ard_3-2-0_108074_2021-11-17_final
2021-12-27 10:22:22	ga_ls8c_ard_3-2-1_100084_2021-12-27_final
2022-01-28 10:19:02	ga_ls8c_ard_3-2-1_100076_2022-01-28_final
2022-01-29 09:21:49	ga_ls8c_ard_3-2-1_091072_2022-01-28_final
2022-02-02 10:37:11	ga_ls8c_ard_3-2-1_103075_2022-02-02_final
2022-04-28 10:55:20	ga_ls8c_ard_3-2-1_106075_2022-04-28_final
2022-06-04 11:14:34	ga_ls8c_ard_3-2-1_109076_2022-06-04_final
2022-06-05 10:19:21	ga_ls8c_ard_3-2-1_100077_2022-06-05_final
2022-08-01 10:10:21	ga_ls8c_ard_3-2-1_099069_2022-08-01_final
2022-10-10 09:40:59	ga_ls8c_ard_3-2-1_093088_2022-10-10_final
2022-10-22 10:04:32	ga_ls8c_ard_3-2-1_097085_2022-10-22_final
2022-11-15 10:49:33	ga_ls8c_ard_3-2-1_105074_2022-11-15_final
2022-11-18 11:18:25	ga_ls8c_ard_3-2-1_110069_2022-11-18_final
2022-11-21 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-11-21_final
2023-03-04 10:19:44	ga_ls8c_ard_3-2-1_100078_2023-03-04_final
2023-03-29 10:13:44	ga_ls8c_ard_3-2-1_099079_2023-03-29_final
2023-04-14 11:51:57	ga_ls8c_ard_3-2-1_115078_2023-04-14_final
2023-05-07 10:19:06	ga_ls8c_ard_3-2-1_100078_2023-05-07_final
2023-05-20 11:22:58	ga_ls8c_ard_3-2-1_111068_2023-05-20_final
2023-08-30 10:52:12	ga_ls8c_ard_3-2-1_105082_2023-08-30_final
2023-09-17 10:35:55	ga_ls8c_ard_3-2-1_103072_2023-09-17_final
2023-10-13 11:14:17	ga_ls8c_ard_3-2-1_109075_2023-10-13_final
2023-12-10 10:13:15	ga_ls8c_ard_3-2-1_099077_2023-12-10_final
2023-12-15 10:30:15	ga_ls8c_ard_3-2-1_102073_2023-12-15_final
2023-12-28 09:58:33	ga_ls8c_ard_3-2-1_097071_2023-12-28_final
2024-01-06 11:31:33	ga_ls8c_ard_3-2-1_112072_2024-01-06_final
2024-01-16 10:28:36	ga_ls8c_ard_3-2-1_102069_2024-01-16_final
2024-02-21 10:03:48	ga_ls8c_ard_3-2-1_098069_2024-02-21_final
2024-03-19 11:23:28	ga_ls8c_ard_3-2-1_111068_2024-03-19_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