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
2013-04-11 10:07:26	ga_ls8c_ard_3-0-0_098068_2013-04-11_final
2013-11-02 09:35:47	ga_ls8c_ard_3-0-0_093072_2013-11-02_final
2013-12-04 09:35:40	ga_ls8c_ard_3-0-0_093072_2013-12-04_final
2013-12-29 09:29:17	ga_ls8c_ard_3-0-0_092072_2013-12-28_final
2014-02-16 10:16:21	ga_ls8c_ard_3-0-0_099083_2014-02-16_final
2014-07-23 11:22:34	ga_ls8c_ard_3-0-0_110081_2014-07-23_final
2014-08-29 11:37:43	ga_ls8c_ard_3-0-0_113072_2014-08-29_final
2014-09-11 09:28:00	ga_ls8c_ard_3-0-0_092072_2014-09-10_final
2014-09-27 09:27:58	ga_ls8c_ard_3-0-0_092072_2014-09-26_final
2014-12-22 10:33:23	ga_ls8c_ard_3-0-0_102081_2014-12-22_final
2015-01-20 09:57:33	ga_ls8c_ard_3-0-0_097069_2015-01-20_final
2015-02-18 09:28:28	ga_ls8c_ard_3-0-0_092074_2015-02-17_final
2015-08-04 09:34:04	ga_ls8c_ard_3-0-0_093073_2015-08-04_final
2015-08-23 11:47:11	ga_ls8c_ard_3-0-0_114081_2015-08-23_final
2015-10-16 09:25:52	ga_ls8c_ard_3-0-0_092067_2015-10-15_final
2015-11-03 09:16:49	ga_ls8c_ard_3-0-0_090075_2015-11-02_final
2015-11-16 10:22:48	ga_ls8c_ard_3-0-0_101070_2015-11-16_final
2015-12-14 09:10:15	ga_ls8c_ard_3-0-0_089074_2015-12-13_final
2015-12-28 09:23:00	ga_ls8c_ard_3-0-0_091075_2015-12-27_final
2016-01-25 09:46:29	ga_ls8c_ard_3-0-0_095072_2016-01-25_final
2016-01-30 10:09:24	ga_ls8c_ard_3-0-0_098083_2016-01-30_final
2016-05-07 11:35:51	ga_ls8c_ard_3-0-0_112084_2016-05-07_final
2016-07-18 09:07:30	ga_ls8c_ard_3-0-0_088083_2016-07-17_final
2016-07-21 09:33:38	ga_ls8c_ard_3-0-0_093071_2016-07-21_final
2016-12-11 10:33:33	ga_ls8c_ard_3-0-0_102081_2016-12-11_final
2016-12-14 09:22:45	ga_ls8c_ard_3-0-0_091074_2016-12-13_final
2017-01-20 09:40:21	ga_ls8c_ard_3-0-0_094072_2017-01-20_final
2017-02-02 09:16:08	ga_ls8c_ard_3-0-0_089089_2017-02-01_final
2017-02-19 11:29:47	ga_ls8c_ard_3-0-0_112068_2017-02-19_final
2017-03-18 09:34:08	ga_ls8c_ard_3-0-0_093073_2017-03-18_final
2017-04-23 09:09:29	ga_ls8c_ard_3-0-0_089074_2017-04-22_final
2017-07-13 11:30:29	ga_ls8c_ard_3-0-0_112070_2017-07-13_final
2017-08-05 11:37:38	ga_ls8c_ard_3-0-0_113072_2017-08-05_final
2017-08-06 09:07:32	ga_ls8c_ard_3-0-0_088083_2017-08-05_final
2017-09-13 11:41:56	ga_ls8c_ard_3-0-0_114067_2017-09-13_final
2017-09-28 09:20:18	ga_ls8c_ard_3-0-0_091068_2017-09-27_final
2017-12-06 09:40:22	ga_ls8c_ard_3-0-0_094072_2017-12-06_final
2017-12-20 11:31:40	ga_ls8c_ard_3-0-0_112072_2017-12-20_final
2018-01-21 11:31:28	ga_ls8c_ard_3-0-0_112072_2018-01-21_final
2018-02-05 10:52:27	ga_ls8c_ard_3-0-0_105083_2018-02-05_final
2018-02-24 11:17:39	ga_ls8c_ard_3-0-0_110069_2018-02-24_final
2018-03-21 09:33:10	ga_ls8c_ard_3-0-0_093071_2018-03-21_final
2018-03-26 11:30:58	ga_ls8c_ard_3-0-0_112072_2018-03-26_final
2018-05-24 09:32:33	ga_ls8c_ard_3-0-0_093071_2018-05-24_final
2018-08-12 09:33:03	ga_ls8c_ard_3-0-0_093071_2018-08-12_final
2018-09-14 11:57:00	ga_ls8c_ard_3-0-0_116075_2018-09-14_final
2018-09-14 11:57:24	ga_ls8c_ard_3-0-0_116076_2018-09-14_final
2018-11-27 09:16:37	ga_ls8c_ard_3-0-0_090075_2018-11-26_final
2018-12-18 09:34:19	ga_ls8c_ard_3-0-0_093073_2018-12-18_final
2019-04-06 09:07:03	ga_ls8c_ard_3-1-0_088083_2019-04-05_final
2019-08-03 10:49:28	ga_ls8c_ard_3-1-0_105075_2019-08-03_final
2019-11-04 11:58:10	ga_ls8c_ard_3-1-0_116076_2019-11-04_final
2020-01-24 11:00:18	ga_ls8c_ard_3-1-0_107071_2020-01-24_final
2020-02-03 09:57:14	ga_ls8c_ard_3-1-0_097068_2020-02-03_final
2020-02-11 09:10:34	ga_ls8c_ard_3-1-0_089075_2020-02-10_final
2020-02-23 09:34:03	ga_ls8c_ard_3-1-0_093072_2020-02-23_final
2020-03-17 11:17:45	ga_ls8c_ard_3-1-0_110069_2020-03-17_final
2020-03-31 11:31:10	ga_ls8c_ard_3-1-0_112072_2020-03-31_final
2020-06-26 09:56:55	ga_ls8c_ard_3-1-0_097068_2020-06-26_final
2020-07-04 10:49:36	ga_ls8c_ard_3-1-0_105076_2020-07-04_final
2020-07-20 09:10:01	ga_ls8c_ard_3-1-0_089074_2020-07-19_final
2020-08-28 09:16:49	ga_ls8c_ard_3-1-0_090075_2020-08-27_final
2020-10-20 09:33:59	ga_ls8c_ard_3-1-0_093071_2020-10-20_final
2020-11-01 09:57:05	ga_ls8c_ard_3-1-0_097067_2020-11-01_final
2020-12-19 11:37:59	ga_ls8c_ard_3-2-0_113072_2020-12-19_final
2021-01-18 10:16:04	ga_ls8c_ard_3-2-0_099084_2021-01-18_final
2021-03-14 11:57:39	ga_ls8c_ard_3-2-0_116076_2021-03-14_final
2021-05-11 10:55:07	ga_ls8c_ard_3-2-0_106075_2021-05-11_final
2021-06-04 10:09:06	ga_ls8c_ard_3-2-0_098083_2021-06-04_final
2021-08-13 09:34:47	ga_ls8c_ard_3-2-0_092089_2021-08-13_final
2021-11-24 09:32:48	ga_ls8c_ard_3-2-0_093068_2021-11-24_final
2022-01-13 09:22:43	ga_ls8c_ard_3-2-1_091074_2022-01-12_final
2022-01-21 11:53:23	ga_ls8c_ard_3-2-1_115080_2022-01-21_final
2022-03-07 11:23:54	ga_ls8c_ard_3-2-1_110084_2022-03-07_final
2022-05-07 10:48:52	ga_ls8c_ard_3-2-1_105074_2022-05-07_final
2022-07-01 10:55:50	ga_ls8c_ard_3-2-1_106075_2022-07-01_final
2022-08-03 11:38:05	ga_ls8c_ard_3-2-1_113072_2022-08-03_final
2022-10-21 09:21:40	ga_ls8c_ard_3-2-1_090086_2022-10-20_final
2022-11-11 09:34:38	ga_ls8c_ard_3-2-1_093072_2022-11-11_final
2022-12-20 11:24:43	ga_ls8c_ard_3-2-1_110085_2022-12-20_final
2023-02-16 11:57:38	ga_ls8c_ard_3-2-1_116075_2023-02-16_final
2023-02-16 11:58:02	ga_ls8c_ard_3-2-1_116076_2023-02-16_final
2023-04-04 09:34:34	ga_ls8c_ard_3-2-1_093074_2023-04-04_final
2023-06-02 10:54:53	ga_ls8c_ard_3-2-1_106075_2023-06-02_final
2023-10-04 11:18:02	ga_ls8c_ard_3-2-1_110069_2023-10-04_final
2024-01-10 11:08:03	ga_ls8c_ard_3-2-1_108075_2024-01-10_final
2024-02-20 09:22:09	ga_ls8c_ard_3-2-1_091073_2024-02-19_final
2024-02-29 10:55:34	ga_ls8c_ard_3-2-1_106075_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