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

88 results

Time (local)	Label
2013-06-02 11:23:09	ga_ls8c_ard_3-0-0_110077_2013-06-02_final
2013-12-02 11:25:19	ga_ls8c_ard_3-0-0_111068_2013-12-02_final
2013-12-07 11:43:27	ga_ls8c_ard_3-0-0_114067_2013-12-07_final
2013-12-11 09:47:24	ga_ls8c_ard_3-0-0_094086_2013-12-11_final
2014-03-05 10:54:09	ga_ls8c_ard_3-0-0_106070_2014-03-05_final
2014-03-31 11:35:41	ga_ls8c_ard_3-0-0_112082_2014-03-31_final
2014-05-23 10:10:13	ga_ls8c_ard_3-0-0_099071_2014-05-23_final
2014-05-27 09:45:09	ga_ls8c_ard_3-0-0_095070_2014-05-27_final
2014-06-01 10:08:56	ga_ls8c_ard_3-0-0_098083_2014-06-01_final
2014-09-20 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-09-19_final
2014-11-15 10:10:09	ga_ls8c_ard_3-0-0_099069_2014-11-15_final
2014-11-19 09:46:35	ga_ls8c_ard_3-0-0_095072_2014-11-19_final
2014-11-19 11:23:52	ga_ls8c_ard_3-0-0_111068_2014-11-19_final
2015-03-07 10:10:50	ga_ls8c_ard_3-0-0_099072_2015-03-07_final
2015-04-08 10:12:54	ga_ls8c_ard_3-0-0_099078_2015-04-08_final
2015-04-12 09:51:46	ga_ls8c_ard_3-0-0_095087_2015-04-12_final
2015-05-23 09:37:17	ga_ls8c_ard_3-0-0_094067_2015-05-23_final
2015-06-15 09:43:42	ga_ls8c_ard_3-0-0_095067_2015-06-15_final
2015-08-29 11:10:08	ga_ls8c_ard_3-0-0_108081_2015-08-29_final
2015-09-03 09:51:24	ga_ls8c_ard_3-0-0_095085_2015-09-03_final
2015-09-22 11:57:46	ga_ls8c_ard_3-0-0_116076_2015-09-22_final
2015-11-18 10:11:15	ga_ls8c_ard_3-0-0_099072_2015-11-18_final
2016-02-10 09:44:24	ga_ls8c_ard_3-0-0_095067_2016-02-10_final
2016-03-10 10:52:15	ga_ls8c_ard_3-0-0_106067_2016-03-10_final
2016-07-09 09:15:37	ga_ls8c_ard_3-0-0_089088_2016-07-08_final
2016-08-22 09:32:10	ga_ls8c_ard_3-0-0_093067_2016-08-22_final
2016-09-29 10:40:04	ga_ls8c_ard_3-0-0_103082_2016-09-29_final
2016-11-08 09:44:44	ga_ls8c_ard_3-0-0_095067_2016-11-08_final
2016-12-23 09:17:44	ga_ls8c_ard_3-0-0_090077_2016-12-22_final
2017-01-23 11:52:31	ga_ls8c_ard_3-0-0_115078_2017-01-23_final
2017-03-07 09:51:35	ga_ls8c_ard_3-0-0_096070_2017-03-07_final
2017-04-12 09:25:21	ga_ls8c_ard_3-0-0_092067_2017-04-11_final
2017-04-24 09:49:57	ga_ls8c_ard_3-0-0_096067_2017-04-24_final
2017-05-19 09:43:53	ga_ls8c_ard_3-0-0_095067_2017-05-19_final
2017-05-26 09:50:08	ga_ls8c_ard_3-0-0_096067_2017-05-26_final
2017-06-15 11:07:39	ga_ls8c_ard_3-0-0_108075_2017-06-15_final
2017-07-31 09:38:11	ga_ls8c_ard_3-0-0_094067_2017-07-31_final
2017-10-12 09:39:07	ga_ls8c_ard_3-0-0_093084_2017-10-12_final
2017-10-12 11:14:48	ga_ls8c_ard_3-0-0_109076_2017-10-12_final
2017-11-14 10:17:33	ga_ls8c_ard_3-0-0_100072_2017-11-14_final
2017-12-21 10:39:38	ga_ls8c_ard_3-0-0_103081_2017-12-21_final
2018-01-10 10:10:49	ga_ls8c_ard_3-0-0_099071_2018-01-10_final
2018-02-07 10:39:17	ga_ls8c_ard_3-0-0_103081_2018-02-07_final
2018-03-05 09:34:31	ga_ls8c_ard_3-0-0_093074_2018-03-05_final
2018-04-20 09:43:40	ga_ls8c_ard_3-0-0_095067_2018-04-20_final
2018-05-25 11:57:28	ga_ls8c_ard_3-0-0_116078_2018-05-25_final
2018-06-27 09:21:06	ga_ls8c_ard_3-0-0_091073_2018-06-26_final
2018-07-09 11:22:49	ga_ls8c_ard_3-0-0_111068_2018-07-09_final
2018-07-21 10:12:43	ga_ls8c_ard_3-0-0_099078_2018-07-21_final
2018-10-01 09:21:49	ga_ls8c_ard_3-0-0_091073_2018-09-30_final
2019-01-13 11:53:03	ga_ls8c_ard_3-0-0_115080_2019-01-13_final
2019-01-23 09:15:55	ga_ls8c_ard_3-0-0_089089_2019-01-22_final
2019-02-05 10:19:04	ga_ls8c_ard_3-0-0_100077_2019-02-05_final
2019-06-14 09:27:29	ga_ls8c_ard_3-1-0_091087_2019-06-13_final
2019-07-30 09:33:41	ga_ls8c_ard_3-1-0_093071_2019-07-30_final
2019-10-22 09:11:43	ga_ls8c_ard_3-1-0_089077_2019-10-21_final
2019-12-30 09:29:41	ga_ls8c_ard_3-1-0_092076_2019-12-29_final
2020-01-25 10:06:40	ga_ls8c_ard_3-1-0_098076_2020-01-25_final
2020-04-20 09:33:49	ga_ls8c_ard_3-1-0_092088_2020-04-20_final
2020-08-26 09:33:57	ga_ls8c_ard_3-1-0_092087_2020-08-26_final
2020-10-25 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-10-25_final
2020-11-19 09:44:43	ga_ls8c_ard_3-1-0_095067_2020-11-19_final
2020-12-26 11:47:44	ga_ls8c_ard_3-2-0_114081_2020-12-26_final
2021-01-13 11:30:52	ga_ls8c_ard_3-2-0_112070_2021-01-13_final
2021-02-20 10:58:49	ga_ls8c_ard_3-2-0_106083_2021-02-20_final
2021-03-31 12:37:14	ga_ls8c_ard_3-2-1_123067_2021-03-31_final
2021-04-17 10:03:49	ga_ls8c_ard_3-2-0_098070_2021-04-17_final
2021-05-02 12:36:59	ga_ls8c_ard_3-2-1_123067_2021-05-02_final
2021-05-06 10:39:19	ga_ls8c_ard_3-2-0_103082_2021-05-06_final
2021-05-14 11:23:40	ga_ls8c_ard_3-2-0_111069_2021-05-14_final
2021-10-02 10:59:08	ga_ls8c_ard_3-2-0_106083_2021-10-02_final
2021-10-03 09:57:32	ga_ls8c_ard_3-2-0_097068_2021-10-03_final
2021-10-21 09:44:50	ga_ls8c_ard_3-2-0_095067_2021-10-21_final
2022-01-22 09:16:53	ga_ls8c_ard_3-2-1_090075_2022-01-21_final
2022-01-31 10:49:32	ga_ls8c_ard_3-2-1_105075_2022-01-31_final
2022-09-02 10:13:39	ga_ls8c_ard_3-2-1_099077_2022-09-02_final
2022-09-29 11:33:18	ga_ls8c_ard_3-2-1_112075_2022-09-29_final
2022-11-21 10:15:39	ga_ls8c_ard_3-2-1_099082_2022-11-21_final
2022-12-03 10:40:00	ga_ls8c_ard_3-2-1_103081_2022-12-03_final
2022-12-30 10:18:07	ga_ls8c_ard_3-2-1_100073_2022-12-30_final
2023-01-22 10:23:01	ga_ls8c_ard_3-2-1_101070_2023-01-22_final
2023-01-25 10:59:08	ga_ls8c_ard_3-2-1_106083_2023-01-25_final
2023-02-02 10:04:56	ga_ls8c_ard_3-2-1_098071_2023-02-02_final
2023-03-17 09:45:57	ga_ls8c_ard_3-2-1_095071_2023-03-17_final
2023-08-08 11:23:57	ga_ls8c_ard_3-2-1_111069_2023-08-08_final
2024-02-05 10:10:14	ga_ls8c_ard_3-2-1_098085_2024-02-05_final
2024-02-12 10:13:13	ga_ls8c_ard_3-2-1_099077_2024-02-12_final
2024-03-14 09:32:53	ga_ls8c_ard_3-2-1_092085_2024-03-14_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