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

93 results

Time (local)	Label
2013-06-13 09:25:16	ga_ls8c_ard_3-0-0_091076_2013-06-12_final
2013-06-21 10:15:02	ga_ls8c_ard_3-0-0_099077_2013-06-21_final
2013-08-20 10:41:28	ga_ls8c_ard_3-0-0_103081_2013-08-20_final
2013-09-24 11:13:02	ga_ls8c_ard_3-0-0_108083_2013-09-24_final
2013-11-22 09:14:54	ga_ls8c_ard_3-0-0_089082_2013-11-21_final
2013-12-09 09:52:12	ga_ls8c_ard_3-0-0_096067_2013-12-09_final
2014-01-16 09:18:15	ga_ls8c_ard_3-0-0_090076_2014-01-15_final
2014-04-17 10:34:10	ga_ls8c_ard_3-0-0_103068_2014-04-17_final
2014-06-15 10:19:24	ga_ls8c_ard_3-0-0_100078_2014-06-15_final
2015-01-11 10:03:24	ga_ls8c_ard_3-0-0_098068_2015-01-11_final
2015-01-11 10:05:00	ga_ls8c_ard_3-0-0_098072_2015-01-11_final
2015-01-24 09:40:22	ga_ls8c_ard_3-0-0_093088_2015-01-24_final
2015-04-19 09:56:45	ga_ls8c_ard_3-0-0_096084_2015-04-19_final
2015-08-06 10:59:23	ga_ls8c_ard_3-0-0_107070_2015-08-06_final
2015-08-13 11:07:38	ga_ls8c_ard_3-0-0_108075_2015-08-13_final
2015-11-13 11:32:22	ga_ls8c_ard_3-0-0_112074_2015-11-13_final
2015-12-24 09:46:56	ga_ls8c_ard_3-0-0_095073_2015-12-24_final
2016-02-20 10:25:22	ga_ls8c_ard_3-0-0_101077_2016-02-20_final
2016-06-11 10:23:58	ga_ls8c_ard_3-0-0_101074_2016-06-11_final
2016-06-21 09:28:13	ga_ls8c_ard_3-0-0_091089_2016-06-20_final
2016-08-04 11:24:31	ga_ls8c_ard_3-0-0_111070_2016-08-04_final
2016-08-15 09:29:07	ga_ls8c_ard_3-0-0_092075_2016-08-14_final
2016-09-06 10:33:28	ga_ls8c_ard_3-0-0_102081_2016-09-06_final
2016-09-23 09:40:16	ga_ls8c_ard_3-0-0_093087_2016-09-23_final
2016-11-21 10:53:08	ga_ls8c_ard_3-0-0_106068_2016-11-21_final
2017-01-08 10:52:59	ga_ls8c_ard_3-0-0_106068_2017-01-08_final
2017-03-06 10:49:13	ga_ls8c_ard_3-0-0_105075_2017-03-06_final
2017-05-31 10:09:07	ga_ls8c_ard_3-0-0_099068_2017-05-31_final
2017-06-09 10:09:48	ga_ls8c_ard_3-0-0_098085_2017-06-09_final
2017-06-23 11:58:20	ga_ls8c_ard_3-0-0_116078_2017-06-23_final
2017-07-27 11:41:46	ga_ls8c_ard_3-0-0_114067_2017-07-27_final
2018-02-17 09:33:50	ga_ls8c_ard_3-0-0_093072_2018-02-17_final
2018-04-13 11:17:15	ga_ls8c_ard_3-0-0_110069_2018-04-13_final
2018-04-16 10:15:13	ga_ls8c_ard_3-0-0_099084_2018-04-16_final
2018-05-08 11:10:50	ga_ls8c_ard_3-0-0_109069_2018-05-08_final
2018-05-10 09:21:09	ga_ls8c_ard_3-0-0_091073_2018-05-09_final
2018-05-12 09:10:46	ga_ls8c_ard_3-0-0_089078_2018-05-11_final
2018-06-07 11:22:53	ga_ls8c_ard_3-0-0_111069_2018-06-07_final
2018-10-16 10:19:33	ga_ls8c_ard_3-0-0_100078_2018-10-16_final
2018-10-29 11:23:12	ga_ls8c_ard_3-0-0_111067_2018-10-29_final
2018-11-20 10:48:56	ga_ls8c_ard_3-0-0_105074_2018-11-20_final
2018-12-11 11:07:49	ga_ls8c_ard_3-0-0_108075_2018-12-11_final
2019-01-05 09:26:44	ga_ls8c_ard_3-0-0_091085_2019-01-04_final
2019-02-09 09:57:08	ga_ls8c_ard_3-0-0_096084_2019-02-09_final
2019-04-02 11:07:05	ga_ls8c_ard_3-1-0_108074_2019-04-02_final
2019-06-14 09:27:29	ga_ls8c_ard_3-1-0_091087_2019-06-13_final
2019-07-04 10:39:21	ga_ls8c_ard_3-1-0_103081_2019-07-04_final
2019-08-03 10:49:28	ga_ls8c_ard_3-1-0_105075_2019-08-03_final
2019-08-17 11:05:06	ga_ls8c_ard_3-1-0_107083_2019-08-17_final
2019-08-26 10:55:22	ga_ls8c_ard_3-1-0_106074_2019-08-26_final
2019-09-28 09:57:31	ga_ls8c_ard_3-1-0_097068_2019-09-28_final
2020-02-12 11:30:43	ga_ls8c_ard_3-1-0_112070_2020-02-12_final
2020-04-08 09:06:47	ga_ls8c_ard_3-1-0_088082_2020-04-07_final
2020-05-03 10:38:53	ga_ls8c_ard_3-1-0_103081_2020-05-03_final
2020-06-02 10:48:31	ga_ls8c_ard_3-1-0_105074_2020-06-02_final
2020-08-24 09:40:19	ga_ls8c_ard_3-1-0_094072_2020-08-24_final
2021-01-10 09:23:54	ga_ls8c_ard_3-2-0_091077_2021-01-09_final
2021-01-27 10:03:05	ga_ls8c_ard_3-2-0_098067_2021-01-27_final
2021-03-24 09:17:18	ga_ls8c_ard_3-2-0_090077_2021-03-23_final
2021-04-08 10:10:04	ga_ls8c_ard_3-2-0_099070_2021-04-08_final
2021-04-13 10:33:22	ga_ls8c_ard_3-2-0_102082_2021-04-13_final
2021-05-10 10:13:26	ga_ls8c_ard_3-2-0_099079_2021-05-10_final
2021-08-31 10:53:01	ga_ls8c_ard_3-2-0_106068_2021-08-31_final
2021-09-21 11:14:01	ga_ls8c_ard_3-2-0_109074_2021-09-21_final
2021-10-15 10:27:54	ga_ls8c_ard_3-2-0_101082_2021-10-15_final
2021-10-30 11:18:20	ga_ls8c_ard_3-2-0_110069_2021-10-30_final
2021-11-01 11:11:34	ga_ls8c_ard_3-2-0_108083_2021-11-01_final
2021-12-19 11:08:16	ga_ls8c_ard_3-2-1_108075_2021-12-19_final
2022-02-16 09:11:47	ga_ls8c_ard_3-2-1_089078_2022-02-15_final
2022-05-23 10:48:57	ga_ls8c_ard_3-2-1_105074_2022-05-23_final
2022-06-13 11:06:06	ga_ls8c_ard_3-2-1_108070_2022-06-13_final
2022-06-24 10:50:02	ga_ls8c_ard_3-2-1_105076_2022-06-24_final
2022-07-06 11:13:58	ga_ls8c_ard_3-2-1_109074_2022-07-06_final
2022-07-16 10:10:33	ga_ls8c_ard_3-2-1_099070_2022-07-16_final
2022-07-24 12:37:48	ga_ls8c_ard_3-2-1_123067_2022-07-24_final
2022-10-03 11:10:10	ga_ls8c_ard_3-2-1_108079_2022-10-03_final
2022-10-05 10:53:24	ga_ls8c_ard_3-2-1_106068_2022-10-05_final
2022-11-02 09:40:52	ga_ls8c_ard_3-2-1_094072_2022-11-02_final
2023-01-26 09:57:32	ga_ls8c_ard_3-2-1_097068_2023-01-26_final
2023-02-03 09:12:06	ga_ls8c_ard_3-2-1_089078_2023-02-02_final
2023-05-26 09:11:25	ga_ls8c_ard_3-2-1_089079_2023-05-25_final
2023-06-14 11:19:21	ga_ls8c_ard_3-2-1_110074_2023-06-14_final
2023-06-23 11:13:12	ga_ls8c_ard_3-2-1_109074_2023-06-23_final
2023-08-03 11:07:48	ga_ls8c_ard_3-2-1_108075_2023-08-03_final
2023-09-24 10:46:06	ga_ls8c_ard_3-2-1_104082_2023-09-24_final
2023-10-04 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-04_final
2023-10-12 10:33:25	ga_ls8c_ard_3-2-1_102081_2023-10-12_final
2023-10-24 10:55:46	ga_ls8c_ard_3-2-1_106075_2023-10-24_final
2023-11-18 09:12:20	ga_ls8c_ard_3-2-1_089079_2023-11-17_final
2024-01-10 11:08:03	ga_ls8c_ard_3-2-1_108075_2024-01-10_final
2024-01-28 09:18:18	ga_ls8c_ard_3-2-1_090079_2024-01-27_final
2024-03-15 10:10:57	ga_ls8c_ard_3-2-1_099072_2024-03-15_final
2024-03-31 10:10:20	ga_ls8c_ard_3-2-1_099071_2024-03-31_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