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

77 results

Time (local)	Label
2013-04-13 09:59:10	ga_ls8c_ard_3-0-0_096084_2013-04-13_final
2013-04-18 10:15:20	ga_ls8c_ard_3-0-0_099078_2013-04-18_final
2013-05-26 09:36:30	ga_ls8c_ard_3-0-0_093073_2013-05-26_final
2013-08-29 10:35:18	ga_ls8c_ard_3-0-0_102081_2013-08-29_final
2013-10-22 09:52:23	ga_ls8c_ard_3-0-0_096067_2013-10-22_final
2013-12-30 10:11:20	ga_ls8c_ard_3-0-0_099069_2013-12-30_final
2014-03-05 09:17:40	ga_ls8c_ard_3-0-0_090076_2014-03-04_final
2014-06-28 09:51:19	ga_ls8c_ard_3-0-0_095085_2014-06-28_final
2015-01-06 09:46:27	ga_ls8c_ard_3-0-0_095072_2015-01-06_final
2015-01-21 09:06:42	ga_ls8c_ard_3-1-0_088081_2015-01-20_final
2015-01-22 11:24:03	ga_ls8c_ard_3-0-0_111069_2015-01-22_final
2015-05-31 10:32:45	ga_ls8c_ard_3-0-0_102082_2015-05-31_final
2015-11-18 10:13:39	ga_ls8c_ard_3-0-0_099078_2015-11-18_final
2016-02-28 09:33:56	ga_ls8c_ard_3-0-0_093072_2016-02-28_final
2016-06-10 11:17:36	ga_ls8c_ard_3-0-0_110069_2016-06-10_final
2016-06-17 09:45:18	ga_ls8c_ard_3-0-0_095070_2016-06-17_final
2016-07-03 11:25:33	ga_ls8c_ard_3-0-0_111073_2016-07-03_final
2016-11-12 09:22:01	ga_ls8c_ard_3-0-0_091072_2016-11-11_final
2016-12-21 09:34:53	ga_ls8c_ard_3-0-0_092089_2016-12-21_final
2017-01-15 09:21:51	ga_ls8c_ard_3-0-0_091072_2017-01-14_final
2017-06-20 09:46:32	ga_ls8c_ard_3-0-0_095073_2017-06-20_final
2017-07-11 11:46:49	ga_ls8c_ard_3-0-0_114080_2017-07-11_final
2017-09-24 11:29:28	ga_ls8c_ard_3-0-0_111082_2017-09-24_final
2017-12-04 09:51:32	ga_ls8c_ard_3-0-0_096069_2017-12-04_final
2018-02-07 10:36:30	ga_ls8c_ard_3-0-0_103074_2018-02-07_final
2018-02-24 11:16:51	ga_ls8c_ard_3-0-0_110067_2018-02-24_final
2018-03-26 11:30:10	ga_ls8c_ard_3-0-0_112070_2018-03-26_final
2018-05-02 11:51:58	ga_ls8c_ard_3-0-0_115079_2018-05-02_final
2018-07-15 09:15:40	ga_ls8c_ard_3-0-0_089090_2018-07-14_final
2018-07-23 10:02:46	ga_ls8c_ard_3-0-0_097084_2018-07-23_final
2018-08-26 09:45:07	ga_ls8c_ard_3-0-0_095070_2018-08-26_final
2018-12-22 09:11:12	ga_ls8c_ard_3-0-0_089077_2018-12-21_final
2019-04-27 09:22:16	ga_ls8c_ard_3-0-0_091075_2019-04-26_final
2019-05-16 11:29:51	ga_ls8c_ard_3-0-0_112069_2019-05-16_final
2019-07-05 11:23:01	ga_ls8c_ard_3-1-0_110082_2019-07-05_final
2019-08-17 09:22:13	ga_ls8c_ard_3-1-0_091073_2019-08-16_final
2019-09-04 09:10:44	ga_ls8c_ard_3-1-0_089075_2019-09-03_final
2019-10-02 11:14:53	ga_ls8c_ard_3-1-0_109076_2019-10-02_final
2019-11-14 09:17:03	ga_ls8c_ard_3-1-0_090075_2019-11-13_final
2019-11-17 09:46:21	ga_ls8c_ard_3-1-0_095071_2019-11-17_final
2020-03-17 11:17:45	ga_ls8c_ard_3-1-0_110069_2020-03-17_final
2020-04-02 11:17:36	ga_ls8c_ard_3-1-0_110069_2020-04-02_final
2020-04-22 10:55:08	ga_ls8c_ard_3-1-0_106075_2020-04-22_final
2020-07-25 11:08:16	ga_ls8c_ard_3-1-0_108076_2020-07-25_final
2020-08-01 09:33:59	ga_ls8c_ard_3-1-0_093072_2020-08-01_final
2020-08-12 10:55:58	ga_ls8c_ard_3-1-0_106076_2020-08-12_final
2020-12-20 09:06:40	ga_ls8c_ard_3-2-0_088080_2020-12-19_final
2021-01-31 11:21:38	ga_ls8c_ard_3-2-0_110078_2021-01-31_final
2021-02-06 10:42:32	ga_ls8c_ard_3-2-0_104073_2021-02-06_final
2021-05-28 09:56:53	ga_ls8c_ard_3-2-0_097068_2021-05-28_final
2021-07-03 09:35:32	ga_ls8c_ard_3-2-0_093076_2021-07-03_final
2021-08-15 10:55:44	ga_ls8c_ard_3-2-0_106075_2021-08-15_final
2021-09-05 11:14:46	ga_ls8c_ard_3-2-0_109076_2021-09-05_final
2021-10-27 10:50:14	ga_ls8c_ard_3-2-0_105076_2021-10-27_final
2021-11-25 10:19:39	ga_ls8c_ard_3-2-0_100077_2021-11-25_final
2022-01-29 09:23:01	ga_ls8c_ard_3-2-1_091075_2022-01-28_final
2022-01-31 09:10:39	ga_ls8c_ard_3-2-1_089075_2022-01-30_final
2022-02-03 11:19:15	ga_ls8c_ard_3-2-1_110072_2022-02-03_final
2022-03-02 09:21:42	ga_ls8c_ard_3-2-1_091072_2022-03-01_final
2022-04-20 10:09:09	ga_ls8c_ard_3-2-1_098083_2022-04-20_final
2022-05-05 11:00:00	ga_ls8c_ard_3-2-1_107071_2022-05-05_final
2022-05-20 11:58:08	ga_ls8c_ard_3-2-1_116077_2022-05-20_final
2022-06-29 09:34:29	ga_ls8c_ard_3-2-1_092088_2022-06-29_final
2022-07-15 09:34:28	ga_ls8c_ard_3-2-1_092088_2022-07-15_final
2022-10-27 10:19:56	ga_ls8c_ard_3-2-1_100077_2022-10-27_final
2023-03-03 11:12:58	ga_ls8c_ard_3-2-1_109072_2023-03-03_final
2023-05-26 09:09:50	ga_ls8c_ard_3-2-1_089075_2023-05-25_final
2023-06-17 10:12:59	ga_ls8c_ard_3-2-1_099078_2023-06-17_final
2023-09-11 09:33:40	ga_ls8c_ard_3-2-1_093071_2023-09-11_final
2023-09-13 09:21:43	ga_ls8c_ard_3-2-1_091072_2023-09-12_final
2023-10-15 09:21:51	ga_ls8c_ard_3-2-1_091072_2023-10-14_final
2023-12-25 11:07:45	ga_ls8c_ard_3-2-1_108074_2023-12-25_final
2024-01-20 10:05:50	ga_ls8c_ard_3-2-1_098074_2024-01-20_final
2024-03-04 10:33:11	ga_ls8c_ard_3-2-1_102081_2024-03-04_final
2024-03-23 09:21:24	ga_ls8c_ard_3-2-1_091072_2024-03-22_final
2024-03-26 11:31:06	ga_ls8c_ard_3-2-1_112072_2024-03-26_final
2024-03-28 09:40:37	ga_ls8c_ard_3-2-1_094074_2024-03-28_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