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
2013-05-31 09:52:39	ga_ls8c_ard_3-0-0_096067_2013-05-31_final
2013-09-09 10:12:45	ga_ls8c_ard_3-0-0_099071_2013-09-09_final
2013-11-30 10:02:47	ga_ls8c_ard_3-0-0_097078_2013-11-30_final
2013-12-23 10:05:12	ga_ls8c_ard_3-0-0_098069_2013-12-23_final
2013-12-30 10:16:56	ga_ls8c_ard_3-0-0_099083_2013-12-30_final
2014-01-14 11:08:43	ga_ls8c_ard_3-0-0_108074_2014-01-14_final
2014-02-26 10:47:43	ga_ls8c_ard_3-0-0_105069_2014-02-26_final
2014-03-21 10:53:12	ga_ls8c_ard_3-0-0_106068_2014-03-21_final
2014-03-24 11:24:26	ga_ls8c_ard_3-0-0_111069_2014-03-24_final
2014-05-20 09:39:44	ga_ls8c_ard_3-0-0_094072_2014-05-20_final
2014-06-14 11:17:25	ga_ls8c_ard_3-0-0_109084_2014-06-14_final
2014-06-28 09:46:32	ga_ls8c_ard_3-0-0_095073_2014-06-28_final
2014-08-26 09:26:21	ga_ls8c_ard_3-0-0_092068_2014-08-25_final
2014-10-25 11:30:05	ga_ls8c_ard_3-0-0_112068_2014-10-25_final
2014-12-01 10:09:43	ga_ls8c_ard_3-0-0_099068_2014-12-01_final
2015-01-17 09:34:16	ga_ls8c_ard_3-0-0_092088_2015-01-17_final
2015-07-02 10:29:52	ga_ls8c_ard_3-0-0_102074_2015-07-02_final
2015-10-07 11:14:09	ga_ls8c_ard_3-0-0_109075_2015-10-07_final
2015-12-02 10:26:01	ga_ls8c_ard_3-0-0_101078_2015-12-02_final
2015-12-03 09:28:48	ga_ls8c_ard_3-0-0_092074_2015-12-02_final
2015-12-20 10:10:52	ga_ls8c_ard_3-0-0_099071_2015-12-20_final
2016-02-08 11:38:27	ga_ls8c_ard_3-0-0_113074_2016-02-08_final
2016-02-11 10:31:38	ga_ls8c_ard_3-0-0_102077_2016-02-11_final
2016-03-25 11:52:08	ga_ls8c_ard_3-0-0_115078_2016-03-25_final
2016-04-21 09:56:55	ga_ls8c_ard_3-0-0_096084_2016-04-21_final
2016-05-22 10:46:13	ga_ls8c_ard_3-0-0_105068_2016-05-22_final
2016-05-26 10:22:43	ga_ls8c_ard_3-0-0_101071_2016-05-26_final
2016-06-06 10:07:01	ga_ls8c_ard_3-0-0_098078_2016-06-06_final
2016-06-13 11:52:06	ga_ls8c_ard_3-0-0_115078_2016-06-13_final
2016-09-28 11:32:30	ga_ls8c_ard_3-0-0_112074_2016-09-28_final
2016-10-16 11:18:14	ga_ls8c_ard_3-0-0_110069_2016-10-16_final
2016-12-08 09:58:16	ga_ls8c_ard_3-0-0_097070_2016-12-08_final
2017-02-21 09:40:56	ga_ls8c_ard_3-0-0_094074_2017-02-21_final
2017-03-13 10:58:07	ga_ls8c_ard_3-0-0_106082_2017-03-13_final
2017-05-18 09:06:36	ga_ls8c_ard_3-0-0_088082_2017-05-17_final
2017-05-31 10:15:06	ga_ls8c_ard_3-0-0_099083_2017-05-31_final
2017-06-04 11:25:19	ga_ls8c_ard_3-0-0_111073_2017-06-04_final
2017-07-07 10:30:39	ga_ls8c_ard_3-0-0_102075_2017-07-07_final
2017-07-31 11:17:52	ga_ls8c_ard_3-0-0_110069_2017-07-31_final
2017-08-18 11:08:00	ga_ls8c_ard_3-0-0_108075_2017-08-18_final
2017-09-24 09:47:47	ga_ls8c_ard_3-0-0_095075_2017-09-24_final
2017-10-01 11:32:30	ga_ls8c_ard_3-0-0_112074_2017-10-01_final
2017-10-27 10:28:22	ga_ls8c_ard_3-0-0_102068_2017-10-27_final
2017-11-07 10:10:13	ga_ls8c_ard_3-0-0_099069_2017-11-07_final
2017-11-24 10:53:47	ga_ls8c_ard_3-0-0_106070_2017-11-24_final
2017-12-12 10:41:23	ga_ls8c_ard_3-0-0_104070_2017-12-12_final
2017-12-19 10:47:12	ga_ls8c_ard_3-0-0_105069_2017-12-19_final
2017-12-24 11:07:20	ga_ls8c_ard_3-0-0_108073_2017-12-24_final
2018-01-09 11:09:38	ga_ls8c_ard_3-0-0_108079_2018-01-09_final
2018-01-10 10:16:00	ga_ls8c_ard_3-0-0_099084_2018-01-10_final
2018-02-04 10:07:12	ga_ls8c_ard_3-0-0_098078_2018-02-04_final
2018-02-05 10:48:04	ga_ls8c_ard_3-0-0_105072_2018-02-05_final
2018-02-07 10:35:42	ga_ls8c_ard_3-0-0_103072_2018-02-07_final
2018-02-10 11:10:58	ga_ls8c_ard_3-0-0_108083_2018-02-10_final
2018-02-22 09:50:21	ga_ls8c_ard_3-0-0_096067_2018-02-22_final
2018-04-13 11:17:15	ga_ls8c_ard_3-0-0_110069_2018-04-13_final
2018-06-16 11:19:12	ga_ls8c_ard_3-0-0_110075_2018-06-16_final
2018-08-16 10:47:39	ga_ls8c_ard_3-0-0_105072_2018-08-16_final
2018-09-06 09:33:26	ga_ls8c_ard_3-0-0_092087_2018-09-06_final
2018-09-07 10:15:30	ga_ls8c_ard_3-0-0_099084_2018-09-07_final
2018-10-29 11:24:00	ga_ls8c_ard_3-0-0_111069_2018-10-29_final
2018-11-21 11:31:24	ga_ls8c_ard_3-0-0_112072_2018-11-21_final
2019-04-19 10:08:58	ga_ls8c_ard_3-1-0_099068_2019-04-19_final
2019-04-26 11:57:58	ga_ls8c_ard_3-0-0_116078_2019-04-26_final
2019-07-04 10:35:46	ga_ls8c_ard_3-1-0_103072_2019-07-04_final
2019-10-12 10:09:31	ga_ls8c_ard_3-1-0_099067_2019-10-12_final
2019-10-30 10:00:45	ga_ls8c_ard_3-1-0_097076_2019-10-30_final
2019-12-02 09:07:27	ga_ls8c_ard_3-1-0_088082_2019-12-01_final
2020-01-08 11:00:46	ga_ls8c_ard_3-1-0_107072_2020-01-08_final
2020-02-14 11:23:56	ga_ls8c_ard_3-1-0_110084_2020-02-14_final
2020-04-02 09:43:06	ga_ls8c_ard_3-1-0_094080_2020-04-02_final
2020-06-09 10:53:10	ga_ls8c_ard_3-1-0_106070_2020-06-09_final
2020-08-06 11:29:50	ga_ls8c_ard_3-1-0_112068_2020-08-06_final
2020-08-26 11:08:03	ga_ls8c_ard_3-1-0_108075_2020-08-26_final
2020-10-04 11:17:38	ga_ls8c_ard_3-1-0_109083_2020-10-04_final
2021-05-19 11:47:03	ga_ls8c_ard_3-2-0_114081_2021-05-19_final
2021-05-23 09:39:53	ga_ls8c_ard_3-2-0_094072_2021-05-23_final
2021-09-16 10:55:52	ga_ls8c_ard_3-2-0_106075_2021-09-16_final
2021-09-23 09:22:23	ga_ls8c_ard_3-2-0_091073_2021-09-22_final
2021-10-04 10:46:23	ga_ls8c_ard_3-2-0_104082_2021-10-04_final
2022-01-20 09:34:03	ga_ls8c_ard_3-2-1_092087_2022-01-20_final
2022-02-01 09:58:18	ga_ls8c_ard_3-2-1_096086_2022-02-01_final
2022-03-19 11:47:19	ga_ls8c_ard_3-2-1_114081_2022-03-19_final
2022-04-19 09:21:55	ga_ls8c_ard_3-2-1_091073_2022-04-18_final
2022-05-07 10:48:52	ga_ls8c_ard_3-2-1_105074_2022-05-07_final
2022-06-20 11:14:20	ga_ls8c_ard_3-2-1_109075_2022-06-20_final
2022-06-22 09:28:41	ga_ls8c_ard_3-2-1_091089_2022-06-21_final
2022-10-10 11:17:28	ga_ls8c_ard_3-2-1_109082_2022-10-10_final
2022-11-01 10:36:29	ga_ls8c_ard_3-2-1_103072_2022-11-01_final
2023-01-25 10:53:33	ga_ls8c_ard_3-2-1_106069_2023-01-25_final
2023-01-26 11:38:49	ga_ls8c_ard_3-2-1_113074_2023-01-26_final
2023-03-10 09:41:24	ga_ls8c_ard_3-2-1_094075_2023-03-10_final
2023-05-07 10:16:42	ga_ls8c_ard_3-2-1_100072_2023-05-07_final
2023-08-19 11:09:54	ga_ls8c_ard_3-2-1_108080_2023-08-19_final
2023-08-21 09:22:16	ga_ls8c_ard_3-2-1_090089_2023-08-20_final
2023-09-29 09:23:00	ga_ls8c_ard_3-2-1_091075_2023-09-28_final
2023-10-27 11:24:42	ga_ls8c_ard_3-2-1_111070_2023-10-27_final
2023-12-17 10:17:30	ga_ls8c_ard_3-2-1_100072_2023-12-17_final
2024-02-22 09:16:10	ga_ls8c_ard_3-2-1_089089_2024-02-21_final
2024-03-18 10:42:13	ga_ls8c_ard_3-2-1_104073_2024-03-18_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