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

76 results

Time (local)	Label
2013-10-26 11:09:41	ga_ls8c_ard_3-0-0_108075_2013-10-26_final
2014-04-15 10:46:35	ga_ls8c_ard_3-0-0_105068_2014-04-15_final
2014-05-20 09:39:20	ga_ls8c_ard_3-0-0_094071_2014-05-20_final
2014-06-12 11:24:11	ga_ls8c_ard_3-0-0_111070_2014-06-12_final
2014-08-09 10:27:55	ga_ls8c_ard_3-0-0_101083_2014-08-09_final
2014-08-27 11:51:17	ga_ls8c_ard_3-0-0_115075_2014-08-27_final
2014-11-22 10:17:28	ga_ls8c_ard_3-0-0_100072_2014-11-22_final
2014-12-05 11:24:39	ga_ls8c_ard_3-0-0_111070_2014-12-05_final
2015-03-27 09:47:06	ga_ls8c_ard_3-0-0_095075_2015-03-27_final
2015-08-08 09:10:09	ga_ls8c_ard_3-0-0_089075_2015-08-07_final
2015-09-12 11:22:36	ga_ls8c_ard_3-0-0_110081_2015-09-12_final
2015-09-19 09:52:21	ga_ls8c_ard_3-0-0_095087_2015-09-19_final
2015-12-10 11:17:50	ga_ls8c_ard_3-0-0_109084_2015-12-10_final
2015-12-12 09:20:12	ga_ls8c_ard_3-0-0_091068_2015-12-11_final
2016-01-02 11:23:36	ga_ls8c_ard_3-0-0_110083_2016-01-02_final
2016-02-23 09:16:59	ga_ls8c_ard_3-0-0_090076_2016-02-22_final
2016-04-09 11:07:58	ga_ls8c_ard_3-0-0_108076_2016-04-09_final
2016-05-12 10:09:28	ga_ls8c_ard_3-0-0_099069_2016-05-12_final
2016-06-24 11:35:38	ga_ls8c_ard_3-0-0_112083_2016-06-24_final
2016-07-08 10:09:14	ga_ls8c_ard_3-0-0_098083_2016-07-08_final
2016-12-19 11:18:33	ga_ls8c_ard_3-0-0_110070_2016-12-19_final
2016-12-22 10:11:22	ga_ls8c_ard_3-0-0_099072_2016-12-22_final
2017-01-03 10:40:02	ga_ls8c_ard_3-0-0_103082_2017-01-03_final
2017-01-08 10:58:58	ga_ls8c_ard_3-0-0_106083_2017-01-08_final
2017-01-18 11:36:00	ga_ls8c_ard_3-0-0_112083_2017-01-18_final
2017-02-03 09:51:49	ga_ls8c_ard_3-0-0_096070_2017-02-03_final
2017-02-08 11:51:59	ga_ls8c_ard_3-0-0_115077_2017-02-08_final
2017-04-22 10:09:07	ga_ls8c_ard_3-0-0_098084_2017-04-22_final
2017-10-22 11:53:06	ga_ls8c_ard_3-0-0_115079_2017-10-22_final
2017-10-29 10:19:12	ga_ls8c_ard_3-0-0_100076_2017-10-29_final
2017-12-04 09:52:44	ga_ls8c_ard_3-0-0_096072_2017-12-04_final
2017-12-20 11:32:28	ga_ls8c_ard_3-0-0_112074_2017-12-20_final
2018-02-02 10:19:34	ga_ls8c_ard_3-0-0_100078_2018-02-02_final
2018-05-11 11:40:54	ga_ls8c_ard_3-0-0_114067_2018-05-11_final
2018-07-23 11:37:40	ga_ls8c_ard_3-0-0_113074_2018-07-23_final
2018-08-25 09:06:38	ga_ls8c_ard_3-0-0_088082_2018-08-24_final
2018-09-08 09:21:29	ga_ls8c_ard_3-0-0_090088_2018-09-07_final
2018-12-20 09:22:45	ga_ls8c_ard_3-0-0_091075_2018-12-19_final
2019-01-03 11:13:36	ga_ls8c_ard_3-0-0_109074_2019-01-03_final
2019-04-03 10:12:39	ga_ls8c_ard_3-1-0_099077_2019-04-03_final
2019-04-09 11:11:38	ga_ls8c_ard_3-1-0_109070_2019-04-09_final
2019-05-13 11:03:42	ga_ls8c_ard_3-0-0_107081_2019-05-13_final
2019-05-25 09:45:16	ga_ls8c_ard_3-0-0_095070_2019-05-25_final
2020-01-03 10:40:38	ga_ls8c_ard_3-1-0_104068_2020-01-03_final
2020-02-05 11:30:08	ga_ls8c_ard_3-1-0_111084_2020-02-05_final
2020-02-09 09:25:43	ga_ls8c_ard_3-1-0_091082_2020-02-08_final
2020-03-23 10:41:25	ga_ls8c_ard_3-1-0_104071_2020-03-23_final
2020-04-13 09:21:42	ga_ls8c_ard_3-1-0_091073_2020-04-12_final
2020-06-07 09:33:49	ga_ls8c_ard_3-1-0_092088_2020-06-07_final
2020-07-11 10:55:50	ga_ls8c_ard_3-1-0_106076_2020-07-11_final
2020-11-22 10:17:13	ga_ls8c_ard_3-1-0_100071_2020-11-22_final
2020-12-18 10:59:07	ga_ls8c_ard_3-2-0_106083_2020-12-18_final
2021-01-22 11:24:14	ga_ls8c_ard_3-2-0_111069_2021-01-22_final
2021-02-04 09:17:13	ga_ls8c_ard_3-2-0_090076_2021-02-03_final
2021-03-29 09:34:14	ga_ls8c_ard_3-2-0_093073_2021-03-29_final
2021-04-18 10:49:28	ga_ls8c_ard_3-2-0_105076_2021-04-18_final
2021-05-04 10:48:31	ga_ls8c_ard_3-2-0_105074_2021-05-04_final
2021-07-03 09:40:20	ga_ls8c_ard_3-2-0_093088_2021-07-03_final
2021-08-25 09:51:58	ga_ls8c_ard_3-2-0_096070_2021-08-25_final
2021-10-05 11:26:28	ga_ls8c_ard_3-2-0_111074_2021-10-05_final
2021-10-09 09:28:04	ga_ls8c_ard_3-2-0_091087_2021-10-08_final
2021-10-11 09:16:07	ga_ls8c_ard_3-2-0_089088_2021-10-10_final
2022-02-25 10:46:03	ga_ls8c_ard_3-2-1_104082_2022-02-25_final
2022-02-28 09:34:04	ga_ls8c_ard_3-2-1_093072_2022-02-28_final
2022-05-26 11:17:50	ga_ls8c_ard_3-2-1_110069_2022-05-26_final
2022-07-25 10:04:30	ga_ls8c_ard_3-2-1_098070_2022-07-25_final
2022-08-21 11:24:38	ga_ls8c_ard_3-2-1_111069_2022-08-21_final
2022-09-14 10:34:52	ga_ls8c_ard_3-2-1_103068_2022-09-14_final
2022-10-03 11:08:34	ga_ls8c_ard_3-2-1_108075_2022-10-03_final
2023-01-25 10:53:57	ga_ls8c_ard_3-2-1_106070_2023-01-25_final
2023-02-26 09:17:09	ga_ls8c_ard_3-2-1_090076_2023-02-25_final
2023-03-13 11:51:11	ga_ls8c_ard_3-2-1_115075_2023-03-13_final
2023-03-30 09:16:54	ga_ls8c_ard_3-2-1_090076_2023-03-29_final
2023-08-08 11:25:33	ga_ls8c_ard_3-2-1_111073_2023-08-08_final
2023-11-05 11:20:30	ga_ls8c_ard_3-2-1_110075_2023-11-05_final
2024-01-20 10:05:50	ga_ls8c_ard_3-2-1_098074_2024-01-20_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