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

82 results

Time (local)	Label
2013-07-13 11:18:30	ga_ls8c_ard_3-0-0_109081_2013-07-13_final
2013-09-02 10:09:23	ga_ls8c_ard_3-0-0_098078_2013-09-02_final
2014-01-31 11:53:53	ga_ls8c_ard_3-0-0_115079_2014-01-31_final
2014-02-17 10:54:25	ga_ls8c_ard_3-0-0_106070_2014-02-17_final
2014-07-27 09:22:12	ga_ls8c_ard_3-0-0_090089_2014-07-26_final
2014-08-08 09:40:15	ga_ls8c_ard_3-0-0_094072_2014-08-08_final
2014-09-24 10:39:55	ga_ls8c_ard_3-0-0_103082_2014-09-24_final
2014-10-17 09:07:22	ga_ls8c_ard_3-0-0_088082_2014-10-16_final
2014-11-28 11:18:30	ga_ls8c_ard_3-0-0_110070_2014-11-28_final
2015-03-11 11:25:19	ga_ls8c_ard_3-0-0_111073_2015-03-11_final
2015-03-18 09:50:11	ga_ls8c_ard_3-0-0_096067_2015-03-18_final
2015-05-31 10:27:34	ga_ls8c_ard_3-0-0_102069_2015-05-31_final
2015-08-20 11:13:52	ga_ls8c_ard_3-0-0_109075_2015-08-20_final
2015-10-14 11:17:07	ga_ls8c_ard_3-0-0_110067_2015-10-14_final
2015-11-02 10:15:38	ga_ls8c_ard_3-0-0_099083_2015-11-02_final
2016-01-22 10:52:52	ga_ls8c_ard_3-0-0_106068_2016-01-22_final
2016-02-22 10:09:25	ga_ls8c_ard_3-0-0_099068_2016-02-22_final
2016-03-18 10:04:21	ga_ls8c_ard_3-1-0_098071_2016-03-18_final
2016-06-23 10:49:10	ga_ls8c_ard_3-0-0_105075_2016-06-23_final
2016-12-29 10:19:56	ga_ls8c_ard_3-0-0_100078_2016-12-29_final
2017-01-14 10:18:16	ga_ls8c_ard_3-0-0_100074_2017-01-14_final
2017-03-01 10:27:55	ga_ls8c_ard_3-0-0_102068_2017-03-01_final
2017-03-18 11:11:25	ga_ls8c_ard_3-0-0_109069_2017-03-18_final
2017-04-19 09:31:28	ga_ls8c_ard_3-0-0_093067_2017-04-19_final
2017-05-19 09:47:28	ga_ls8c_ard_3-0-0_095076_2017-05-19_final
2017-05-31 10:10:19	ga_ls8c_ard_3-0-0_099071_2017-05-31_final
2017-07-08 09:39:50	ga_ls8c_ard_3-0-0_093087_2017-07-08_final
2017-09-22 09:57:44	ga_ls8c_ard_3-0-0_097069_2017-09-22_final
2017-10-19 11:20:36	ga_ls8c_ard_3-0-0_110075_2017-10-19_final
2017-11-28 10:33:25	ga_ls8c_ard_3-0-0_102081_2017-11-28_final
2018-04-04 09:46:37	ga_ls8c_ard_3-0-0_095074_2018-04-04_final
2018-05-15 09:39:14	ga_ls8c_ard_3-0-0_094072_2018-05-15_final
2018-05-23 10:26:59	ga_ls8c_ard_3-0-0_102068_2018-05-23_final
2018-07-18 11:17:30	ga_ls8c_ard_3-0-0_110070_2018-07-18_final
2018-08-29 10:16:50	ga_ls8c_ard_3-0-0_100072_2018-08-29_final
2018-11-05 11:30:36	ga_ls8c_ard_3-0-0_112070_2018-11-05_final
2018-12-05 10:09:38	ga_ls8c_ard_3-0-0_098084_2018-12-05_final
2018-12-29 10:52:40	ga_ls8c_ard_3-0-0_106068_2018-12-29_final
2019-01-07 09:13:10	ga_ls8c_ard_3-0-0_089082_2019-01-06_final
2019-02-08 10:48:46	ga_ls8c_ard_3-0-0_105074_2019-02-08_final
2019-02-15 10:52:32	ga_ls8c_ard_3-0-0_106068_2019-02-15_final
2019-03-25 10:16:52	ga_ls8c_ard_3-1-0_100072_2019-03-25_final
2019-05-11 11:14:03	ga_ls8c_ard_3-0-0_109076_2019-05-11_final
2019-05-18 09:39:49	ga_ls8c_ard_3-0-0_094072_2019-05-18_final
2019-06-24 10:03:25	ga_ls8c_ard_3-1-0_097084_2019-06-24_final
2019-11-02 10:33:39	ga_ls8c_ard_3-1-0_102081_2019-11-02_final
2020-01-11 09:58:22	ga_ls8c_ard_3-1-0_096086_2020-01-11_final
2020-01-31 11:05:39	ga_ls8c_ard_3-1-0_108069_2020-01-31_final
2020-05-13 11:13:08	ga_ls8c_ard_3-1-0_109074_2020-05-13_final
2020-05-20 11:18:09	ga_ls8c_ard_3-1-0_110071_2020-05-20_final
2020-06-05 11:19:51	ga_ls8c_ard_3-1-0_110075_2020-06-05_final
2020-07-17 11:57:16	ga_ls8c_ard_3-1-0_116075_2020-07-17_final
2020-09-21 10:07:37	ga_ls8c_ard_3-1-0_098078_2020-09-21_final
2020-09-22 10:49:41	ga_ls8c_ard_3-1-0_105075_2020-09-22_final
2020-12-30 11:17:24	ga_ls8c_ard_3-2-0_110067_2020-12-30_final
2021-01-25 10:19:50	ga_ls8c_ard_3-2-0_100078_2021-01-25_final
2021-02-03 10:13:15	ga_ls8c_ard_3-2-0_099077_2021-02-03_final
2021-04-09 10:55:19	ga_ls8c_ard_3-2-0_106075_2021-04-09_final
2021-07-18 10:33:11	ga_ls8c_ard_3-2-0_102081_2021-07-18_final
2021-08-20 11:13:54	ga_ls8c_ard_3-2-0_109074_2021-08-20_final
2021-09-15 11:53:05	ga_ls8c_ard_3-2-0_115079_2021-09-15_final
2021-10-19 11:38:53	ga_ls8c_ard_3-2-0_113074_2021-10-19_final
2021-11-01 09:34:40	ga_ls8c_ard_3-2-0_092088_2021-11-01_final
2021-11-03 09:23:06	ga_ls8c_ard_3-2-0_090090_2021-11-02_final
2021-12-08 09:47:10	ga_ls8c_ard_3-2-1_095073_2021-12-08_final
2021-12-20 10:13:27	ga_ls8c_ard_3-2-1_099077_2021-12-20_final
2022-05-01 11:23:53	ga_ls8c_ard_3-2-1_111069_2022-05-01_final
2022-07-04 09:52:14	ga_ls8c_ard_3-2-1_095086_2022-07-04_final
2022-07-20 11:29:58	ga_ls8c_ard_3-2-1_111083_2022-07-20_final
2022-08-16 09:33:59	ga_ls8c_ard_3-2-1_092086_2022-08-16_final
2022-10-07 10:46:36	ga_ls8c_ard_3-2-1_104082_2022-10-07_final
2022-11-02 09:40:28	ga_ls8c_ard_3-2-1_094071_2022-11-02_final
2022-12-04 09:40:47	ga_ls8c_ard_3-2-1_094072_2022-12-04_final
2023-02-25 11:51:15	ga_ls8c_ard_3-2-1_115075_2023-02-25_final
2023-04-25 11:30:59	ga_ls8c_ard_3-2-1_112072_2023-04-25_final
2023-05-16 10:09:59	ga_ls8c_ard_3-2-1_099071_2023-05-16_final
2023-07-04 10:57:13	ga_ls8c_ard_3-2-1_106080_2023-07-04_final
2023-08-21 10:52:22	ga_ls8c_ard_3-2-1_106067_2023-08-21_final
2023-09-25 09:46:06	ga_ls8c_ard_3-2-1_095071_2023-09-25_final
2023-12-20 09:12:20	ga_ls8c_ard_3-2-1_089079_2023-12-19_final
2024-02-22 10:47:28	ga_ls8c_ard_3-2-1_105070_2024-02-22_final
2024-03-23 09:21:48	ga_ls8c_ard_3-2-1_091073_2024-03-22_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