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

81 results

Time (local)	Label
2013-08-07 11:13:33	ga_ls8c_ard_3-0-0_108084_2013-08-07_final
2013-11-29 09:22:42	ga_ls8c_ard_3-0-0_090086_2013-11-28_final
2013-12-29 11:06:58	ga_ls8c_ard_3-0-0_108069_2013-12-29_final
2014-04-13 09:20:07	ga_ls8c_ard_3-0-0_091068_2014-04-12_final
2014-08-31 11:28:58	ga_ls8c_ard_3-0-0_111081_2014-08-31_final
2015-02-13 09:11:56	ga_ls8c_ard_3-0-0_089079_2015-02-12_final
2015-07-19 09:31:37	ga_ls8c_ard_3-0-0_093067_2015-07-19_final
2015-11-12 09:14:37	ga_ls8c_ard_3-0-0_089085_2015-11-11_final
2015-12-24 11:23:50	ga_ls8c_ard_3-0-0_111068_2015-12-24_final
2016-04-10 10:12:44	ga_ls8c_ard_3-0-0_099077_2016-04-10_final
2016-05-19 10:16:29	ga_ls8c_ard_3-0-0_100071_2016-05-19_final
2016-06-10 09:39:31	ga_ls8c_ard_3-0-0_094071_2016-06-10_final
2016-07-12 09:46:08	ga_ls8c_ard_3-0-0_094087_2016-07-12_final
2016-08-04 09:44:26	ga_ls8c_ard_3-0-0_095067_2016-08-04_final
2016-08-20 09:44:31	ga_ls8c_ard_3-0-0_095067_2016-08-20_final
2016-09-04 09:07:20	ga_ls8c_ard_3-0-0_088082_2016-09-03_final
2016-09-30 11:20:32	ga_ls8c_ard_3-0-0_110075_2016-09-30_final
2017-02-19 11:31:23	ga_ls8c_ard_3-0-0_112072_2017-02-19_final
2017-06-29 11:17:41	ga_ls8c_ard_3-0-0_110069_2017-06-29_final
2017-09-15 11:29:59	ga_ls8c_ard_3-0-0_112068_2017-09-15_final
2017-11-02 11:30:34	ga_ls8c_ard_3-0-0_112069_2017-11-02_final
2017-11-18 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-11-18_final
2018-02-08 11:18:09	ga_ls8c_ard_3-0-0_110070_2018-02-08_final
2018-04-20 11:22:57	ga_ls8c_ard_3-0-0_111068_2018-04-20_final
2018-08-05 11:07:41	ga_ls8c_ard_3-0-0_108076_2018-08-05_final
2018-08-16 10:50:50	ga_ls8c_ard_3-0-0_105080_2018-08-16_final
2018-08-25 09:06:14	ga_ls8c_ard_3-1-0_088081_2018-08-24_final
2018-10-02 11:47:10	ga_ls8c_ard_3-0-0_114081_2018-10-02_final
2018-11-10 10:15:51	ga_ls8c_ard_3-0-0_099084_2018-11-10_final
2018-12-09 11:17:00	ga_ls8c_ard_3-0-0_110067_2018-12-09_final
2019-03-02 10:12:48	ga_ls8c_ard_3-0-0_099077_2019-03-02_final
2019-03-11 10:09:45	ga_ls8c_ard_3-1-0_098085_2019-03-11_final
2019-04-18 09:28:30	ga_ls8c_ard_3-1-0_092075_2019-04-17_final
2019-05-29 09:27:22	ga_ls8c_ard_3-0-0_091087_2019-05-28_final
2019-07-24 10:09:55	ga_ls8c_ard_3-1-0_099069_2019-07-24_final
2019-07-31 10:16:57	ga_ls8c_ard_3-1-0_100071_2019-07-31_final
2019-11-14 10:55:56	ga_ls8c_ard_3-1-0_106075_2019-11-14_final
2019-12-14 09:28:10	ga_ls8c_ard_3-2-0_092072_2019-12-13_final
2020-01-07 10:17:06	ga_ls8c_ard_3-1-0_100071_2020-01-07_final
2020-02-24 10:19:42	ga_ls8c_ard_3-1-0_100078_2020-02-24_final
2020-05-01 10:49:16	ga_ls8c_ard_3-1-0_105076_2020-05-01_final
2020-05-04 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-04_final
2020-05-26 10:44:16	ga_ls8c_ard_3-1-0_104079_2020-05-26_final
2020-11-17 09:58:16	ga_ls8c_ard_3-1-0_097070_2020-11-17_final
2020-11-29 10:25:49	ga_ls8c_ard_3-1-0_101077_2020-11-29_final
2020-12-19 11:37:59	ga_ls8c_ard_3-2-0_113072_2020-12-19_final
2020-12-21 09:44:44	ga_ls8c_ard_3-2-0_095067_2020-12-21_final
2020-12-26 11:47:44	ga_ls8c_ard_3-2-0_114081_2020-12-26_final
2021-01-01 11:08:13	ga_ls8c_ard_3-2-0_108075_2021-01-01_final
2021-01-12 09:11:31	ga_ls8c_ard_3-2-0_089077_2021-01-11_final
2021-01-20 09:58:54	ga_ls8c_ard_3-2-0_097072_2021-01-20_final
2021-03-17 10:46:50	ga_ls8c_ard_3-2-0_105069_2021-03-17_final
2021-03-17 10:48:50	ga_ls8c_ard_3-2-0_105074_2021-03-17_final
2021-04-08 10:09:16	ga_ls8c_ard_3-2-0_099068_2021-04-08_final
2021-04-12 09:44:07	ga_ls8c_ard_3-2-0_095067_2021-04-12_final
2021-05-16 09:38:49	ga_ls8c_ard_3-2-0_093085_2021-05-16_final
2021-07-10 11:20:13	ga_ls8c_ard_3-2-0_110075_2021-07-10_final
2021-08-15 10:52:32	ga_ls8c_ard_3-2-0_106067_2021-08-15_final
2021-08-23 10:03:32	ga_ls8c_ard_3-2-0_098068_2021-08-23_final
2021-10-16 09:28:17	ga_ls8c_ard_3-2-0_092072_2021-10-15_final
2021-11-03 10:56:00	ga_ls8c_ard_3-2-0_106075_2021-11-03_final
2021-11-17 09:26:12	ga_ls8c_ard_3-2-0_092067_2021-11-16_final
2021-12-12 09:24:50	ga_ls8c_ard_3-2-1_091079_2021-12-11_final
2022-02-15 10:03:49	ga_ls8c_ard_3-2-1_098069_2022-02-15_final
2022-03-04 10:47:01	ga_ls8c_ard_3-2-1_105069_2022-03-04_final
2022-03-13 10:45:58	ga_ls8c_ard_3-2-1_104082_2022-03-13_final
2022-04-10 11:10:33	ga_ls8c_ard_3-2-1_108082_2022-04-10_final
2022-04-17 11:12:22	ga_ls8c_ard_3-2-1_109071_2022-04-17_final
2022-04-18 10:16:44	ga_ls8c_ard_3-2-1_100071_2022-04-18_final
2022-04-21 10:52:01	ga_ls8c_ard_3-2-1_105082_2022-04-21_final
2022-05-01 11:23:53	ga_ls8c_ard_3-2-1_111069_2022-05-01_final
2022-05-19 11:13:40	ga_ls8c_ard_3-2-1_109074_2022-05-19_final
2022-06-16 11:42:13	ga_ls8c_ard_3-2-1_113083_2022-06-16_final
2022-07-11 11:31:42	ga_ls8c_ard_3-2-1_112072_2022-07-11_final
2022-10-17 11:18:27	ga_ls8c_ard_3-2-1_110069_2022-10-17_final
2023-03-24 11:31:18	ga_ls8c_ard_3-2-1_112072_2023-03-24_final
2023-04-02 11:25:27	ga_ls8c_ard_3-2-1_111073_2023-04-02_final
2023-09-22 10:54:27	ga_ls8c_ard_3-2-1_106072_2023-09-22_final
2024-02-14 09:58:03	ga_ls8c_ard_3-2-1_097070_2024-02-14_final
2024-02-28 10:12:19	ga_ls8c_ard_3-2-1_099075_2024-02-28_final
2024-02-29 10:52:47	ga_ls8c_ard_3-2-1_106068_2024-02-29_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