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
2013-04-03 09:46:14	ga_ls8c_ard_3-0-0_095067_2013-04-03_final
2013-09-02 10:09:23	ga_ls8c_ard_3-0-0_098078_2013-09-02_final
2013-12-07 10:04:34	ga_ls8c_ard_3-0-0_098067_2013-12-07_final
2014-02-25 11:42:33	ga_ls8c_ard_3-0-0_114067_2014-02-25_final
2014-04-19 10:27:23	ga_ls8c_ard_3-0-0_101082_2014-04-19_final
2014-05-20 11:17:49	ga_ls8c_ard_3-0-0_110070_2014-05-20_final
2014-07-01 10:19:28	ga_ls8c_ard_3-0-0_100078_2014-07-01_final
2014-07-25 11:05:49	ga_ls8c_ard_3-0-0_108070_2014-07-25_final
2014-10-18 09:44:39	ga_ls8c_ard_3-0-0_095067_2014-10-18_final
2014-12-01 10:13:43	ga_ls8c_ard_3-0-0_099078_2014-12-01_final
2014-12-25 09:26:58	ga_ls8c_ard_3-0-0_091085_2014-12-24_final
2015-01-10 11:00:37	ga_ls8c_ard_3-0-0_107072_2015-01-10_final
2015-02-03 10:09:04	ga_ls8c_ard_3-0-0_099067_2015-02-03_final
2015-04-06 10:25:15	ga_ls8c_ard_3-0-0_101078_2015-04-06_final
2015-08-23 10:07:06	ga_ls8c_ard_3-0-0_098078_2015-08-23_final
2015-11-29 11:36:24	ga_ls8c_ard_3-0-0_112084_2015-11-29_final
2015-12-05 09:21:38	ga_ls8c_ard_3-0-0_090087_2015-12-04_final
2015-12-08 09:44:32	ga_ls8c_ard_3-0-0_095067_2015-12-08_final
2016-01-05 10:10:48	ga_ls8c_ard_3-0-0_099071_2016-01-05_final
2016-02-12 09:34:25	ga_ls8c_ard_3-0-0_093073_2016-02-12_final
2016-04-09 09:28:17	ga_ls8c_ard_3-0-0_092074_2016-04-08_final
2016-06-05 09:22:09	ga_ls8c_ard_3-0-0_091074_2016-06-04_final
2016-07-30 11:05:58	ga_ls8c_ard_3-0-0_108070_2016-07-30_final
2016-09-05 11:30:17	ga_ls8c_ard_3-0-0_111084_2016-09-05_final
2016-09-06 10:33:28	ga_ls8c_ard_3-0-0_102081_2016-09-06_final
2016-09-21 09:46:38	ga_ls8c_ard_3-0-0_095072_2016-09-21_final
2016-11-08 11:24:25	ga_ls8c_ard_3-0-0_111069_2016-11-08_final
2016-11-13 10:06:52	ga_ls8c_ard_3-0-0_098076_2016-11-13_final
2016-12-08 09:57:52	ga_ls8c_ard_3-0-0_097069_2016-12-08_final
2017-03-09 11:17:42	ga_ls8c_ard_3-0-0_110069_2017-03-09_final
2017-04-17 09:43:51	ga_ls8c_ard_3-0-0_095067_2017-04-17_final
2017-05-18 10:45:29	ga_ls8c_ard_3-0-0_104082_2017-05-18_final
2017-06-09 10:03:01	ga_ls8c_ard_3-0-0_098068_2017-06-09_final
2017-06-16 10:10:26	ga_ls8c_ard_3-0-0_099071_2017-06-16_final
2017-06-23 10:19:27	ga_ls8c_ard_3-0-0_100078_2017-06-23_final
2017-08-13 10:49:02	ga_ls8c_ard_3-0-0_105074_2017-08-13_final
2017-08-13 10:52:14	ga_ls8c_ard_3-0-0_105082_2017-08-13_final
2017-08-27 09:26:58	ga_ls8c_ard_3-0-0_091085_2017-08-26_final
2017-11-04 09:46:30	ga_ls8c_ard_3-0-0_094087_2017-11-04_final
2017-12-06 11:20:03	ga_ls8c_ard_3-0-0_110074_2017-12-06_final
2017-12-09 10:10:04	ga_ls8c_ard_3-0-0_099069_2017-12-09_final
2017-12-20 09:58:22	ga_ls8c_ard_3-0-0_096086_2017-12-20_final
2018-02-07 10:39:17	ga_ls8c_ard_3-0-0_103081_2018-02-07_final
2018-03-26 09:50:53	ga_ls8c_ard_3-0-0_096069_2018-03-26_final
2018-04-12 10:39:11	ga_ls8c_ard_3-0-0_103082_2018-04-12_final
2018-06-02 09:33:50	ga_ls8c_ard_3-0-0_092090_2018-06-02_final
2018-08-01 11:30:46	ga_ls8c_ard_3-0-0_112072_2018-08-01_final
2018-12-20 09:27:33	ga_ls8c_ard_3-0-0_091087_2018-12-19_final
2019-01-07 10:48:52	ga_ls8c_ard_3-0-0_105074_2019-01-07_final
2019-01-18 10:33:05	ga_ls8c_ard_3-0-0_102081_2019-01-18_final
2019-01-19 09:34:16	ga_ls8c_ard_3-0-0_093073_2019-01-19_final
2019-03-19 10:52:23	ga_ls8c_ard_3-1-0_106068_2019-03-19_final
2019-05-09 11:22:48	ga_ls8c_ard_3-0-0_111067_2019-05-09_final
2019-05-22 10:52:26	ga_ls8c_ard_3-0-0_106068_2019-05-22_final
2019-06-01 11:31:12	ga_ls8c_ard_3-0-0_112072_2019-06-01_final
2019-06-07 10:55:21	ga_ls8c_ard_3-0-0_106075_2019-06-07_final
2019-07-12 11:24:02	ga_ls8c_ard_3-1-0_111069_2019-07-12_final
2019-08-01 09:27:43	ga_ls8c_ard_3-1-0_091087_2019-07-31_final
2019-08-02 10:09:47	ga_ls8c_ard_3-1-0_098084_2019-08-02_final
2019-08-06 11:18:24	ga_ls8c_ard_3-1-0_110070_2019-08-06_final
2019-08-17 09:28:37	ga_ls8c_ard_3-1-0_091089_2019-08-16_final
2019-08-19 10:49:09	ga_ls8c_ard_3-1-0_105074_2019-08-19_final
2019-09-27 10:55:55	ga_ls8c_ard_3-1-0_106075_2019-09-27_final
2019-10-16 09:44:48	ga_ls8c_ard_3-1-0_095067_2019-10-16_final
2019-10-16 11:24:53	ga_ls8c_ard_3-1-0_111070_2019-10-16_final
2019-12-12 09:40:32	ga_ls8c_ard_3-1-0_094072_2019-12-12_final
2020-01-12 10:36:02	ga_ls8c_ard_3-1-0_103072_2020-01-12_final
2020-03-09 10:33:10	ga_ls8c_ard_3-1-0_102081_2020-03-09_final
2020-05-13 09:33:51	ga_ls8c_ard_3-1-0_093073_2020-05-13_final
2020-08-17 09:40:27	ga_ls8c_ard_3-1-0_093088_2020-08-17_final
2020-08-22 11:31:32	ga_ls8c_ard_3-1-0_112072_2020-08-22_final
2020-09-13 10:55:49	ga_ls8c_ard_3-1-0_106075_2020-09-13_final
2020-10-08 10:49:44	ga_ls8c_ard_3-1-0_105075_2020-10-08_final
2020-10-26 10:39:46	ga_ls8c_ard_3-1-0_103081_2020-10-26_final
2020-11-25 10:49:44	ga_ls8c_ard_3-1-0_105075_2020-11-25_final
2021-04-01 10:09:30	ga_ls8c_ard_3-2-0_098084_2021-04-01_final
2021-04-25 09:21:30	ga_ls8c_ard_3-2-0_090088_2021-04-24_final
2021-05-20 10:49:02	ga_ls8c_ard_3-2-0_105075_2021-05-20_final
2021-07-23 09:10:06	ga_ls8c_ard_3-2-0_089074_2021-07-22_final
2021-10-01 10:13:29	ga_ls8c_ard_3-2-0_099077_2021-10-01_final
2021-12-21 09:21:25	ga_ls8c_ard_3-2-1_090086_2021-12-20_final
2022-01-14 11:47:15	ga_ls8c_ard_3-2-1_114080_2022-01-14_final
2022-01-27 11:12:16	ga_ls8c_ard_3-2-1_109070_2022-01-27_final
2022-05-31 09:58:20	ga_ls8c_ard_3-2-1_097071_2022-05-31_final
2022-06-13 09:34:00	ga_ls8c_ard_3-2-1_092087_2022-06-13_final
2022-06-16 11:40:37	ga_ls8c_ard_3-2-1_113079_2022-06-16_final
2022-07-29 11:23:53	ga_ls8c_ard_3-2-1_110083_2022-07-29_final
2022-08-21 11:24:38	ga_ls8c_ard_3-2-1_111069_2022-08-21_final
2022-10-03 09:34:52	ga_ls8c_ard_3-2-1_092088_2022-10-03_final
2023-01-07 09:29:04	ga_ls8c_ard_3-2-1_092074_2023-01-06_final
2023-01-30 09:34:49	ga_ls8c_ard_3-2-1_093073_2023-01-30_final
2023-03-17 09:45:57	ga_ls8c_ard_3-2-1_095071_2023-03-17_final
2023-05-10 09:11:27	ga_ls8c_ard_3-2-1_089079_2023-05-09_final
2023-07-05 09:58:01	ga_ls8c_ard_3-2-1_097071_2023-07-05_final
2023-07-19 11:52:06	ga_ls8c_ard_3-2-1_115078_2023-07-19_final
2023-10-02 11:36:23	ga_ls8c_ard_3-2-1_112084_2023-10-02_final
2023-11-02 09:11:56	ga_ls8c_ard_3-2-1_089078_2023-11-01_final
2023-11-16 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-11-15_final
2023-11-28 09:52:14	ga_ls8c_ard_3-2-1_095086_2023-11-28_final
2023-12-26 10:08:56	ga_ls8c_ard_3-2-1_099066_2023-12-26_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years