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

92 results

Time (local)	Label
2013-04-03 11:31:34	ga_ls8c_ard_3-0-0_111084_2013-04-03_final
2013-08-12 09:46:25	ga_ls8c_ard_3-0-0_095067_2013-08-12_final
2013-08-28 11:31:20	ga_ls8c_ard_3-0-0_111082_2013-08-28_final
2013-10-04 10:06:26	ga_ls8c_ard_3-0-0_098071_2013-10-04_final
2013-12-12 10:29:03	ga_ls8c_ard_3-0-0_101082_2013-12-12_final
2013-12-14 11:53:57	ga_ls8c_ard_3-0-0_115078_2013-12-14_final
2013-12-29 11:06:58	ga_ls8c_ard_3-0-0_108069_2013-12-29_final
2014-04-28 10:21:29	ga_ls8c_ard_3-0-0_100083_2014-04-28_final
2014-06-22 10:22:24	ga_ls8c_ard_3-0-0_101070_2014-06-22_final
2014-06-28 11:25:49	ga_ls8c_ard_3-0-0_111074_2014-06-28_final
2014-07-21 09:52:04	ga_ls8c_ard_3-0-0_096071_2014-07-21_final
2014-09-22 10:49:30	ga_ls8c_ard_3-0-0_105075_2014-09-22_final
2015-02-03 11:52:45	ga_ls8c_ard_3-0-0_115079_2015-02-03_final
2015-05-03 11:45:49	ga_ls8c_ard_3-0-0_114079_2015-05-03_final
2015-09-15 11:52:20	ga_ls8c_ard_3-0-0_115078_2015-09-15_final
2016-01-21 10:14:24	ga_ls8c_ard_3-0-0_099080_2016-01-21_final
2016-04-21 09:57:19	ga_ls8c_ard_3-0-0_096085_2016-04-21_final
2016-04-22 10:38:34	ga_ls8c_ard_3-0-0_103080_2016-04-22_final
2016-05-14 10:00:42	ga_ls8c_ard_3-0-0_097078_2016-05-14_final
2016-06-01 11:24:09	ga_ls8c_ard_3-0-0_111070_2016-06-01_final
2016-11-10 09:40:21	ga_ls8c_ard_3-0-0_093087_2016-11-10_final
2016-12-13 10:17:11	ga_ls8c_ard_3-0-0_100071_2016-12-13_final
2017-02-25 10:55:28	ga_ls8c_ard_3-0-0_106075_2017-02-25_final
2017-03-08 10:34:03	ga_ls8c_ard_3-0-0_103068_2017-03-08_final
2017-07-19 10:57:26	ga_ls8c_ard_3-0-0_106080_2017-07-19_final
2017-08-13 09:11:21	ga_ls8c_ard_3-0-0_089077_2017-08-12_final
2017-08-25 11:15:24	ga_ls8c_ard_3-0-0_109078_2017-08-25_final
2017-09-13 10:03:27	ga_ls8c_ard_3-0-0_098068_2017-09-13_final
2017-10-06 11:52:40	ga_ls8c_ard_3-0-0_115078_2017-10-06_final
2017-11-13 11:14:47	ga_ls8c_ard_3-0-0_109076_2017-11-13_final
2018-01-02 09:23:26	ga_ls8c_ard_3-0-0_091076_2018-01-01_final
2018-02-08 09:40:04	ga_ls8c_ard_3-0-0_094072_2018-02-08_final
2018-03-05 09:40:06	ga_ls8c_ard_3-0-0_093088_2018-03-05_final
2018-05-07 10:30:22	ga_ls8c_ard_3-0-0_102076_2018-05-07_final
2018-05-13 09:55:37	ga_ls8c_ard_3-0-0_096082_2018-05-13_final
2018-10-08 09:28:51	ga_ls8c_ard_3-0-0_092075_2018-10-07_final
2018-11-07 09:39:45	ga_ls8c_ard_3-0-0_094071_2018-11-07_final
2018-11-14 09:44:21	ga_ls8c_ard_3-0-0_095067_2018-11-14_final
2018-11-27 10:53:07	ga_ls8c_ard_3-0-0_106069_2018-11-27_final
2019-02-20 09:33:46	ga_ls8c_ard_3-0-0_093072_2019-02-20_final
2019-03-17 09:27:27	ga_ls8c_ard_3-1-0_092072_2019-03-16_final
2019-03-17 09:28:39	ga_ls8c_ard_3-1-0_092075_2019-03-16_final
2019-04-08 10:27:59	ga_ls8c_ard_3-1-0_102069_2019-04-08_final
2019-04-19 10:08:58	ga_ls8c_ard_3-1-0_099068_2019-04-19_final
2019-04-23 09:46:36	ga_ls8c_ard_3-0-0_095074_2019-04-23_final
2019-05-05 10:09:47	ga_ls8c_ard_3-0-0_099070_2019-05-05_final
2019-05-06 10:52:15	ga_ls8c_ard_3-0-0_106068_2019-05-06_final
2019-05-15 10:49:22	ga_ls8c_ard_3-0-0_105076_2019-05-15_final
2019-06-07 10:52:34	ga_ls8c_ard_3-0-0_106068_2019-06-07_final
2019-07-27 09:06:45	ga_ls8c_ard_3-1-0_088081_2019-07-26_final
2019-09-09 09:34:29	ga_ls8c_ard_3-1-0_092088_2019-09-09_final
2019-09-21 09:57:41	ga_ls8c_ard_3-1-0_096084_2019-09-21_final
2020-01-24 10:59:54	ga_ls8c_ard_3-1-0_107070_2020-01-24_final
2020-02-18 10:53:37	ga_ls8c_ard_3-1-0_106070_2020-02-18_final
2020-03-13 10:02:50	ga_ls8c_ard_3-1-0_098067_2020-03-13_final
2020-03-20 10:08:57	ga_ls8c_ard_3-1-0_099067_2020-03-20_final
2020-03-20 11:52:13	ga_ls8c_ard_3-1-0_115078_2020-03-20_final
2020-04-07 11:35:18	ga_ls8c_ard_3-1-0_113067_2020-04-07_final
2020-05-14 10:16:19	ga_ls8c_ard_3-1-0_100071_2020-05-14_final
2020-06-18 10:49:28	ga_ls8c_ard_3-1-0_105076_2020-06-18_final
2020-07-03 11:44:25	ga_ls8c_ard_3-1-0_114074_2020-07-03_final
2020-07-10 10:10:10	ga_ls8c_ard_3-1-0_099070_2020-07-10_final
2020-07-28 11:38:23	ga_ls8c_ard_3-1-0_113074_2020-07-28_final
2020-07-30 11:24:26	ga_ls8c_ard_3-1-0_111070_2020-07-30_final
2020-09-19 10:21:34	ga_ls8c_ard_3-1-0_100082_2020-09-19_final
2020-10-02 11:27:12	ga_ls8c_ard_3-1-0_111076_2020-10-02_final
2020-11-10 11:36:32	ga_ls8c_ard_3-1-0_112084_2020-11-10_final
2020-12-18 09:18:38	ga_ls8c_ard_3-2-0_090079_2020-12-17_final
2021-01-01 11:11:25	ga_ls8c_ard_3-2-0_108083_2021-01-01_final
2021-01-10 09:23:30	ga_ls8c_ard_3-2-0_091076_2021-01-09_final
2021-06-15 09:52:13	ga_ls8c_ard_3-2-0_095087_2021-06-15_final
2021-07-13 10:09:02	ga_ls8c_ard_3-2-0_099067_2021-07-13_final
2021-07-24 11:29:28	ga_ls8c_ard_3-2-0_112067_2021-07-24_final
2022-03-15 10:31:36	ga_ls8c_ard_3-2-1_102077_2022-03-15_final
2022-04-27 11:52:58	ga_ls8c_ard_3-2-1_115080_2022-04-27_final
2023-01-09 10:53:59	ga_ls8c_ard_3-2-1_106070_2023-01-09_final
2023-01-13 10:29:37	ga_ls8c_ard_3-2-1_102071_2023-01-13_final
2023-02-04 11:32:39	ga_ls8c_ard_3-2-1_112074_2023-02-04_final
2023-02-13 11:25:35	ga_ls8c_ard_3-2-1_111072_2023-02-13_final
2023-02-27 10:04:01	ga_ls8c_ard_3-2-1_097085_2023-02-27_final
2023-05-07 10:19:06	ga_ls8c_ard_3-2-1_100078_2023-05-07_final
2023-06-09 09:24:17	ga_ls8c_ard_3-2-1_091080_2023-06-08_final
2023-07-17 10:24:23	ga_ls8c_ard_3-2-1_101075_2023-07-17_final
2023-08-05 09:17:21	ga_ls8c_ard_3-2-1_090077_2023-08-04_final
2023-09-27 09:35:21	ga_ls8c_ard_3-2-1_093075_2023-09-27_final
2023-10-11 09:52:09	ga_ls8c_ard_3-2-1_095086_2023-10-11_final
2023-12-04 09:16:15	ga_ls8c_ard_3-2-1_089089_2023-12-03_final
2023-12-10 10:10:03	ga_ls8c_ard_3-2-1_099069_2023-12-10_final
2023-12-23 11:22:55	ga_ls8c_ard_3-2-1_110081_2023-12-23_final
2024-03-05 11:11:38	ga_ls8c_ard_3-2-1_109069_2024-03-05_final
2024-03-26 09:57:00	ga_ls8c_ard_3-2-1_096084_2024-03-26_final
2024-03-31 11:51:13	ga_ls8c_ard_3-2-1_115076_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years