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

73 results

Time (local)	Label
2013-05-27 10:21:21	ga_ls8c_ard_3-0-0_100077_2013-05-27_final
2013-05-30 10:51:51	ga_ls8c_ard_3-0-0_105076_2013-05-30_final
2014-01-05 09:35:23	ga_ls8c_ard_3-0-0_093072_2014-01-05_final
2014-04-22 09:16:59	ga_ls8c_ard_3-0-0_090076_2014-04-21_final
2014-05-08 09:16:43	ga_ls8c_ard_3-0-0_090076_2014-05-07_final
2014-12-07 09:34:11	ga_ls8c_ard_3-0-0_093072_2014-12-07_final
2015-01-31 09:40:11	ga_ls8c_ard_3-0-0_094072_2015-01-31_final
2015-02-04 09:17:02	ga_ls8c_ard_3-0-0_090076_2015-02-03_final
2015-02-19 10:10:32	ga_ls8c_ard_3-0-0_099071_2015-02-19_final
2015-03-16 11:41:26	ga_ls8c_ard_3-0-0_114067_2015-03-16_final
2015-04-19 11:30:03	ga_ls8c_ard_3-0-0_112070_2015-04-19_final
2015-05-31 10:32:21	ga_ls8c_ard_3-0-0_102081_2015-05-31_final
2015-08-07 10:09:21	ga_ls8c_ard_3-0-0_098084_2015-08-07_final
2015-09-14 09:28:35	ga_ls8c_ard_3-0-0_092074_2015-09-13_final
2015-09-16 09:17:02	ga_ls8c_ard_3-0-0_090076_2015-09-15_final
2015-12-12 09:20:12	ga_ls8c_ard_3-0-0_091068_2015-12-11_final
2016-01-22 10:52:29	ga_ls8c_ard_3-0-0_106067_2016-01-22_final
2016-02-14 11:05:18	ga_ls8c_ard_3-0-0_107084_2016-02-14_final
2016-03-15 11:11:34	ga_ls8c_ard_3-0-0_109069_2016-03-15_final
2016-11-26 09:34:47	ga_ls8c_ard_3-0-0_093073_2016-11-26_final
2017-02-12 11:24:02	ga_ls8c_ard_3-0-0_111069_2017-02-12_final
2017-03-11 09:27:38	ga_ls8c_ard_3-0-0_092072_2017-03-10_final
2017-04-17 11:25:31	ga_ls8c_ard_3-0-0_111074_2017-04-17_final
2017-04-26 11:17:15	ga_ls8c_ard_3-0-0_110069_2017-04-26_final
2017-05-26 09:50:56	ga_ls8c_ard_3-0-0_096069_2017-05-26_final
2017-07-08 09:39:26	ga_ls8c_ard_3-0-0_093086_2017-07-08_final
2017-08-16 11:17:58	ga_ls8c_ard_3-0-0_110069_2017-08-16_final
2017-08-18 09:28:43	ga_ls8c_ard_3-0-0_092074_2017-08-17_final
2017-08-30 09:51:29	ga_ls8c_ard_3-0-0_096069_2017-08-30_final
2017-11-06 09:28:57	ga_ls8c_ard_3-0-0_092074_2017-11-05_final
2017-12-04 09:51:32	ga_ls8c_ard_3-0-0_096069_2017-12-04_final
2018-01-26 10:10:16	ga_ls8c_ard_3-0-0_099070_2018-01-26_final
2018-01-27 09:17:02	ga_ls8c_ard_3-0-0_090076_2018-01-26_final
2018-02-04 11:41:42	ga_ls8c_ard_3-0-0_114067_2018-02-04_final
2018-06-18 11:06:52	ga_ls8c_ard_3-0-0_108075_2018-06-18_final
2018-08-30 09:21:37	ga_ls8c_ard_3-0-0_091073_2018-08-29_final
2019-03-24 11:13:42	ga_ls8c_ard_3-1-0_109075_2019-03-24_final
2019-04-16 11:17:22	ga_ls8c_ard_3-1-0_110069_2019-04-16_final
2019-07-17 10:10:05	ga_ls8c_ard_3-1-0_098085_2019-07-17_final
2019-08-26 09:17:17	ga_ls8c_ard_3-1-0_090076_2019-08-25_final
2019-10-30 11:42:26	ga_ls8c_ard_3-1-0_113083_2019-10-30_final
2019-12-09 09:10:26	ga_ls8c_ard_3-1-0_089074_2019-12-08_final
2020-05-06 11:07:21	ga_ls8c_ard_3-1-0_108075_2020-05-06_final
2020-05-17 10:48:50	ga_ls8c_ard_3-1-0_105075_2020-05-17_final
2020-07-16 11:14:24	ga_ls8c_ard_3-1-0_109076_2020-07-16_final
2020-10-03 10:33:34	ga_ls8c_ard_3-1-0_102081_2020-10-03_final
2020-10-11 11:18:15	ga_ls8c_ard_3-1-0_110069_2020-10-11_final
2021-01-21 10:46:09	ga_ls8c_ard_3-2-0_104082_2021-01-21_final
2021-03-24 09:16:54	ga_ls8c_ard_3-2-0_090076_2021-03-23_final
2021-05-04 09:13:13	ga_ls8c_ard_3-2-0_089083_2021-05-03_final
2021-07-28 11:07:58	ga_ls8c_ard_3-2-0_108075_2021-07-28_final
2021-10-20 10:46:27	ga_ls8c_ard_3-2-0_104082_2021-10-20_final
2021-11-04 09:57:35	ga_ls8c_ard_3-2-0_097068_2021-11-04_final
2022-01-14 10:02:47	ga_ls8c_ard_3-2-1_098066_2022-01-14_final
2022-01-29 09:26:13	ga_ls8c_ard_3-2-1_091083_2022-01-28_final
2022-04-03 09:22:37	ga_ls8c_ard_3-2-1_091075_2022-04-02_final
2022-05-04 10:19:07	ga_ls8c_ard_3-2-1_100077_2022-05-04_final
2022-07-31 09:29:04	ga_ls8c_ard_3-2-1_092074_2022-07-30_final
2022-10-12 09:28:11	ga_ls8c_ard_3-2-1_091087_2022-10-11_final
2022-11-12 10:17:53	ga_ls8c_ard_3-2-1_100072_2022-11-12_final
2022-12-04 11:18:28	ga_ls8c_ard_3-2-1_110069_2022-12-04_final
2022-12-18 11:31:55	ga_ls8c_ard_3-2-1_112072_2022-12-18_final
2023-01-26 10:03:55	ga_ls8c_ard_3-2-1_097084_2023-01-26_final
2023-04-04 09:33:46	ga_ls8c_ard_3-2-1_093072_2023-04-04_final
2023-04-16 11:41:11	ga_ls8c_ard_3-2-1_113082_2023-04-16_final
2023-06-27 09:09:40	ga_ls8c_ard_3-2-1_089074_2023-06-26_final
2023-08-26 09:34:02	ga_ls8c_ard_3-2-1_093072_2023-08-26_final
2023-09-07 11:37:37	ga_ls8c_ard_3-2-1_113072_2023-09-07_final
2023-09-11 09:34:28	ga_ls8c_ard_3-2-1_093073_2023-09-11_final
2023-09-23 11:37:43	ga_ls8c_ard_3-2-1_113072_2023-09-23_final
2024-01-23 10:39:06	ga_ls8c_ard_3-2-1_103080_2024-01-23_final
2024-01-23 10:39:06	ga_ls8c_ard_3-2-1_103080_2024-01-23_nrt
2024-02-11 09:28:46	ga_ls8c_ard_3-2-1_092074_2024-02-10_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