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

87 results

Time (local)	Label
2013-05-03 09:30:28	ga_ls8c_ard_3-0-0_092074_2013-05-03_final
2013-12-02 09:48:02	ga_ls8c_ard_3-0-0_095072_2013-12-02_final
2014-01-16 10:54:20	ga_ls8c_ard_3-0-0_106069_2014-01-16_final
2014-05-08 09:16:43	ga_ls8c_ard_3-0-0_090076_2014-05-07_final
2014-06-10 09:56:27	ga_ls8c_ard_3-0-0_097067_2014-06-10_final
2014-09-11 09:28:00	ga_ls8c_ard_3-0-0_092072_2014-09-10_final
2014-09-27 09:28:46	ga_ls8c_ard_3-0-0_092074_2014-09-26_final
2014-10-13 09:28:53	ga_ls8c_ard_3-0-0_092074_2014-10-12_final
2014-11-09 09:10:21	ga_ls8c_ard_3-0-0_089074_2014-11-08_final
2014-11-12 09:38:28	ga_ls8c_ard_3-0-0_094067_2014-11-12_final
2015-01-13 11:31:54	ga_ls8c_ard_3-0-0_112073_2015-01-13_final
2015-02-04 09:21:25	ga_ls8c_ard_3-0-0_090087_2015-02-03_final
2015-03-07 10:10:02	ga_ls8c_ard_3-0-0_099070_2015-03-07_final
2015-03-20 09:37:48	ga_ls8c_ard_3-0-0_094067_2015-03-20_final
2015-04-09 09:16:28	ga_ls8c_ard_3-0-0_090076_2015-04-08_final
2015-04-17 10:08:43	ga_ls8c_ard_3-0-0_098083_2015-04-17_final
2015-06-08 09:37:27	ga_ls8c_ard_3-0-0_094067_2015-06-08_final
2015-08-14 10:13:13	ga_ls8c_ard_3-0-0_099078_2015-08-14_final
2015-08-17 09:07:15	ga_ls8c_ard_3-0-0_088083_2015-08-16_final
2015-11-12 09:10:13	ga_ls8c_ard_3-0-0_089074_2015-11-11_final
2015-12-12 09:20:12	ga_ls8c_ard_3-0-0_091068_2015-12-11_final
2015-12-29 10:05:04	ga_ls8c_ard_3-0-0_098072_2015-12-29_final
2016-01-02 11:18:01	ga_ls8c_ard_3-0-0_110069_2016-01-02_final
2016-01-14 11:41:55	ga_ls8c_ard_3-0-0_114067_2016-01-14_final
2016-01-25 11:24:34	ga_ls8c_ard_3-0-0_111070_2016-01-25_final
2016-02-14 11:05:18	ga_ls8c_ard_3-0-0_107084_2016-02-14_final
2016-04-05 09:51:02	ga_ls8c_ard_3-0-0_096069_2016-04-05_final
2016-06-26 09:45:13	ga_ls8c_ard_3-0-0_094085_2016-06-26_final
2016-08-16 11:53:16	ga_ls8c_ard_3-0-0_115080_2016-08-16_final
2016-09-14 11:18:08	ga_ls8c_ard_3-0-0_110069_2016-09-14_final
2016-12-05 09:28:59	ga_ls8c_ard_3-0-0_092074_2016-12-04_final
2016-12-07 09:17:25	ga_ls8c_ard_3-0-0_090076_2016-12-06_final
2016-12-30 09:21:55	ga_ls8c_ard_3-0-0_091072_2016-12-29_final
2017-03-09 09:38:01	ga_ls8c_ard_3-0-0_094067_2017-03-09_final
2017-05-26 09:50:56	ga_ls8c_ard_3-0-0_096069_2017-05-26_final
2017-08-16 11:17:58	ga_ls8c_ard_3-0-0_110069_2017-08-16_final
2017-11-08 09:17:23	ga_ls8c_ard_3-0-0_090076_2017-11-07_final
2018-01-05 11:30:48	ga_ls8c_ard_3-0-0_112070_2018-01-05_final
2018-07-18 09:37:25	ga_ls8c_ard_3-0-0_094067_2018-07-18_final
2018-08-01 11:31:10	ga_ls8c_ard_3-0-0_112073_2018-08-01_final
2018-08-05 09:28:00	ga_ls8c_ard_3-0-0_092074_2018-08-04_final
2018-08-21 09:28:08	ga_ls8c_ard_3-0-0_092074_2018-08-20_final
2018-10-31 09:33:33	ga_ls8c_ard_3-0-0_093071_2018-10-31_final
2018-11-02 09:22:48	ga_ls8c_ard_3-0-0_091075_2018-11-01_final
2018-11-23 09:38:10	ga_ls8c_ard_3-0-0_094067_2018-11-23_final
2019-01-21 09:22:41	ga_ls8c_ard_3-0-0_091075_2019-01-20_final
2019-02-11 09:37:59	ga_ls8c_ard_3-0-0_094067_2019-02-11_final
2019-02-11 09:45:58	ga_ls8c_ard_3-0-0_094087_2019-02-11_final
2019-03-31 09:37:46	ga_ls8c_ard_3-1-0_094067_2019-03-31_final
2019-05-04 09:28:06	ga_ls8c_ard_3-0-0_092074_2019-05-03_final
2019-05-08 10:45:30	ga_ls8c_ard_3-0-0_104082_2019-05-08_final
2019-05-20 09:27:29	ga_ls8c_ard_3-0-0_092072_2019-05-19_final
2019-05-20 09:28:17	ga_ls8c_ard_3-1-0_092074_2019-05-19_final
2019-10-09 11:18:17	ga_ls8c_ard_3-1-0_110069_2019-10-09_final
2019-10-25 09:38:38	ga_ls8c_ard_3-1-0_094067_2019-10-25_final
2019-12-14 11:08:14	ga_ls8c_ard_3-2-0_108075_2019-12-14_final
2019-12-25 09:10:47	ga_ls8c_ard_3-1-0_089075_2019-12-24_final
2020-01-29 11:18:01	ga_ls8c_ard_3-1-0_110069_2020-01-29_final
2020-01-31 09:28:45	ga_ls8c_ard_3-1-0_092074_2020-01-30_final
2020-05-20 09:37:40	ga_ls8c_ard_3-1-0_094067_2020-05-20_final
2020-06-16 09:28:07	ga_ls8c_ard_3-1-0_091089_2020-06-15_final
2020-07-14 09:45:52	ga_ls8c_ard_3-1-0_095071_2020-07-14_final
2020-07-16 09:33:31	ga_ls8c_ard_3-1-0_093071_2020-07-16_final
2020-07-30 09:45:33	ga_ls8c_ard_3-1-0_095070_2020-07-30_final
2020-08-08 09:44:11	ga_ls8c_ard_3-1-0_094082_2020-08-08_final
2020-10-06 09:22:00	ga_ls8c_ard_3-1-0_091072_2020-10-05_final
2021-06-27 11:52:41	ga_ls8c_ard_3-2-0_115079_2021-06-27_final
2021-07-23 09:11:18	ga_ls8c_ard_3-2-0_089077_2021-07-22_final
2021-08-25 09:50:47	ga_ls8c_ard_3-2-0_096067_2021-08-25_final
2021-09-07 09:23:08	ga_ls8c_ard_3-2-0_091075_2021-09-06_final
2021-09-12 09:38:30	ga_ls8c_ard_3-2-0_094067_2021-09-12_final
2021-10-14 11:18:20	ga_ls8c_ard_3-2-0_110069_2021-10-14_final
2021-10-16 09:29:05	ga_ls8c_ard_3-2-0_092074_2021-10-15_final
2021-11-09 10:22:05	ga_ls8c_ard_3-2-0_100083_2021-11-09_final
2022-01-24 09:07:42	ga_ls8c_ard_3-2-1_088083_2022-01-23_final
2022-03-27 09:16:53	ga_ls8c_ard_3-2-1_090076_2022-03-26_final
2022-05-28 09:34:10	ga_ls8c_ard_3-2-1_092088_2022-05-28_final
2022-09-15 09:40:51	ga_ls8c_ard_3-2-1_094072_2022-09-15_final
2022-10-14 09:10:37	ga_ls8c_ard_3-2-1_089074_2022-10-13_final
2022-12-11 11:25:01	ga_ls8c_ard_3-2-1_111070_2022-12-11_final
2023-01-02 10:50:13	ga_ls8c_ard_3-2-1_105076_2023-01-02_final
2023-04-04 09:33:46	ga_ls8c_ard_3-2-1_093072_2023-04-04_final
2023-04-06 09:21:22	ga_ls8c_ard_3-2-1_091072_2023-04-05_final
2023-05-15 09:33:31	ga_ls8c_ard_3-2-1_092088_2023-05-15_final
2023-06-18 10:55:03	ga_ls8c_ard_3-2-1_106075_2023-06-18_final
2023-07-25 09:34:12	ga_ls8c_ard_3-2-1_093073_2023-07-25_final
2024-01-21 10:49:53	ga_ls8c_ard_3-2-1_105076_2024-01-21_nrt

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