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

80 results

Time (local)	Label
2013-03-21 11:16:07	ga_ls8c_ard_3-0-0_110067_2013-03-21_final
2013-05-03 09:29:40	ga_ls8c_ard_3-0-0_092072_2013-05-02_final
2013-06-22 09:19:24	ga_ls8c_ard_3-0-0_090077_2013-06-21_final
2013-08-23 09:33:54	ga_ls8c_ard_3-0-0_092082_2013-08-23_final
2013-10-16 10:31:55	ga_ls8c_ard_3-0-0_102073_2013-10-16_final
2013-11-13 11:00:30	ga_ls8c_ard_3-0-0_106083_2013-11-13_final
2014-04-22 09:16:59	ga_ls8c_ard_3-0-0_090076_2014-04-21_final
2014-07-27 09:22:12	ga_ls8c_ard_3-0-0_090089_2014-07-26_final
2014-08-28 09:17:10	ga_ls8c_ard_3-0-0_090076_2014-08-27_final
2014-09-27 09:28:46	ga_ls8c_ard_3-0-0_092074_2014-09-26_final
2015-02-27 10:59:57	ga_ls8c_ard_3-0-0_107071_2015-02-27_final
2015-05-30 11:23:10	ga_ls8c_ard_3-0-0_111069_2015-05-30_final
2015-10-12 11:32:17	ga_ls8c_ard_3-0-0_112074_2015-10-12_final
2015-12-14 10:47:08	ga_ls8c_ard_3-0-0_105069_2015-12-14_final
2015-12-31 11:30:47	ga_ls8c_ard_3-0-0_112070_2015-12-31_final
2016-01-20 09:27:57	ga_ls8c_ard_3-0-0_092072_2016-01-19_final
2016-04-29 10:42:24	ga_ls8c_ard_3-0-0_104074_2016-04-29_final
2016-10-02 09:28:54	ga_ls8c_ard_3-0-0_092074_2016-10-01_final
2016-11-09 10:33:35	ga_ls8c_ard_3-0-0_102081_2016-11-09_final
2016-11-11 10:19:13	ga_ls8c_ard_3-0-0_100076_2016-11-11_final
2016-12-11 10:33:33	ga_ls8c_ard_3-0-0_102081_2016-12-11_final
2016-12-16 09:10:47	ga_ls8c_ard_3-0-0_089075_2016-12-15_final
2017-06-20 11:23:25	ga_ls8c_ard_3-0-0_111068_2017-06-20_final
2017-07-17 09:28:30	ga_ls8c_ard_3-0-0_092074_2017-07-16_final
2017-08-04 10:55:34	ga_ls8c_ard_3-0-0_106075_2017-08-04_final
2017-08-30 09:51:29	ga_ls8c_ard_3-0-0_096069_2017-08-30_final
2017-10-08 11:41:54	ga_ls8c_ard_3-0-0_113082_2017-10-08_final
2017-10-26 09:51:30	ga_ls8c_ard_3-0-0_095084_2017-10-26_final
2017-11-25 10:01:44	ga_ls8c_ard_3-0-0_097079_2017-11-25_final
2018-02-05 10:46:28	ga_ls8c_ard_3-0-0_105068_2018-02-05_final
2018-02-08 11:17:45	ga_ls8c_ard_3-0-0_110069_2018-02-08_final
2018-02-27 10:10:27	ga_ls8c_ard_3-0-0_099071_2018-02-27_final
2018-06-18 11:08:52	ga_ls8c_ard_3-0-0_108080_2018-06-18_final
2018-08-15 11:45:15	ga_ls8c_ard_3-0-0_114077_2018-08-15_final
2018-10-29 11:25:59	ga_ls8c_ard_3-0-0_111074_2018-10-29_final
2019-01-25 10:37:38	ga_ls8c_ard_3-0-0_103077_2019-01-25_final
2019-03-24 09:34:01	ga_ls8c_ard_3-1-0_093073_2019-03-24_final
2019-05-21 10:13:33	ga_ls8c_ard_3-0-0_099079_2019-05-21_final
2019-05-22 09:17:08	ga_ls8c_ard_3-0-0_090077_2019-05-21_final
2019-06-12 09:38:14	ga_ls8c_ard_3-1-0_093083_2019-06-12_final
2019-06-28 11:14:01	ga_ls8c_ard_3-1-0_109075_2019-06-28_final
2019-08-01 11:02:13	ga_ls8c_ard_3-1-0_107076_2019-08-01_final
2019-08-16 10:19:02	ga_ls8c_ard_3-1-0_100076_2019-08-16_final
2019-08-19 10:49:57	ga_ls8c_ard_3-1-0_105076_2019-08-19_final
2020-03-24 11:23:52	ga_ls8c_ard_3-1-0_111069_2020-03-24_final
2020-05-31 09:19:34	ga_ls8c_ard_3-1-0_091068_2020-05-30_final
2020-06-11 10:42:26	ga_ls8c_ard_3-1-0_104074_2020-06-11_final
2020-06-19 11:35:32	ga_ls8c_ard_3-1-0_112083_2020-06-19_final
2020-07-16 09:33:31	ga_ls8c_ard_3-1-0_093071_2020-07-16_final
2020-10-13 11:08:17	ga_ls8c_ard_3-1-0_108075_2020-10-13_final
2020-12-14 09:40:10	ga_ls8c_ard_3-1-0_094071_2020-12-14_final
2021-02-28 10:09:20	ga_ls8c_ard_3-2-0_098083_2021-02-28_final
2021-03-04 09:38:11	ga_ls8c_ard_3-2-0_094067_2021-03-04_final
2021-05-27 09:16:24	ga_ls8c_ard_3-2-0_090075_2021-05-26_final
2021-12-22 09:59:05	ga_ls8c_ard_3-2-1_097072_2021-12-22_final
2022-01-25 09:50:09	ga_ls8c_ard_3-2-1_095081_2022-01-25_final
2022-01-29 09:21:49	ga_ls8c_ard_3-2-1_091072_2022-01-28_final
2022-02-14 09:21:46	ga_ls8c_ard_3-2-1_091072_2022-02-13_final
2022-05-23 09:11:39	ga_ls8c_ard_3-2-1_089078_2022-05-22_final
2022-10-02 10:24:31	ga_ls8c_ard_3-2-1_101073_2022-10-02_final
2022-10-03 11:08:58	ga_ls8c_ard_3-2-1_108076_2022-10-03_final
2022-11-15 10:49:33	ga_ls8c_ard_3-2-1_105074_2022-11-15_final
2022-12-22 09:33:02	ga_ls8c_ard_3-2-1_092084_2022-12-22_final
2022-12-31 09:22:06	ga_ls8c_ard_3-2-1_091072_2022-12-30_final
2023-01-25 09:17:28	ga_ls8c_ard_3-2-1_090076_2023-01-24_final
2023-02-26 09:17:09	ga_ls8c_ard_3-2-1_090076_2023-02-25_final
2023-03-20 10:19:12	ga_ls8c_ard_3-2-1_100077_2023-03-20_final
2023-03-24 11:31:18	ga_ls8c_ard_3-2-1_112072_2023-03-24_final
2023-05-07 10:17:30	ga_ls8c_ard_3-2-1_100074_2023-05-07_final
2023-07-04 09:16:20	ga_ls8c_ard_3-2-1_090075_2023-07-03_final
2023-11-08 10:10:29	ga_ls8c_ard_3-2-1_099070_2023-11-08_final
2023-11-08 10:10:53	ga_ls8c_ard_3-2-1_099071_2023-11-08_final
2023-11-12 11:26:14	ga_ls8c_ard_3-2-1_111074_2023-11-12_final
2023-12-02 11:05:08	ga_ls8c_ard_3-2-1_107083_2023-12-02_final
2023-12-07 09:39:54	ga_ls8c_ard_3-2-1_094071_2023-12-07_final
2024-01-19 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-18_final
2024-01-26 09:28:40	ga_ls8c_ard_3-2-1_092074_2024-01-25_final
2024-03-05 11:16:25	ga_ls8c_ard_3-2-1_109081_2024-03-05_final
2024-03-14 11:06:59	ga_ls8c_ard_3-2-1_108073_2024-03-14_final
2024-03-15 10:10:57	ga_ls8c_ard_3-2-1_099072_2024-03-15_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