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

First 100 results (query limit)

Time (local)	Label
2013-04-13 09:59:10	ga_ls8c_ard_3-0-0_096084_2013-04-13_final
2013-05-31 09:59:26	ga_ls8c_ard_3-0-0_096084_2013-05-31_final
2013-07-30 10:19:18	ga_ls8c_ard_3-0-0_100072_2013-07-30_final
2013-09-18 10:09:18	ga_ls8c_ard_3-0-0_098078_2013-09-18_final
2013-11-16 11:26:59	ga_ls8c_ard_3-0-0_111072_2013-11-16_final
2014-06-10 11:37:20	ga_ls8c_ard_3-0-0_113072_2014-06-10_final
2014-08-08 09:40:15	ga_ls8c_ard_3-0-0_094072_2014-08-08_final
2014-12-30 11:18:45	ga_ls8c_ard_3-0-0_110071_2014-12-30_final
2015-03-29 09:33:55	ga_ls8c_ard_3-0-0_093073_2015-03-29_final
2015-06-02 11:57:43	ga_ls8c_ard_3-0-0_116078_2015-06-02_final
2015-06-11 11:50:27	ga_ls8c_ard_3-0-0_115075_2015-06-11_final
2015-08-18 11:23:49	ga_ls8c_ard_3-0-0_111069_2015-08-18_final
2015-08-30 10:15:19	ga_ls8c_ard_3-0-0_099083_2015-08-30_final
2015-09-22 10:22:04	ga_ls8c_ard_3-0-0_100084_2015-09-22_final
2016-01-02 11:17:13	ga_ls8c_ard_3-0-0_110067_2016-01-02_final
2016-01-02 11:18:25	ga_ls8c_ard_3-0-0_110070_2016-01-02_final
2016-02-12 09:34:01	ga_ls8c_ard_3-0-0_093072_2016-02-12_final
2016-03-09 10:13:23	ga_ls8c_ard_3-0-0_099078_2016-03-09_final
2016-05-16 09:46:22	ga_ls8c_ard_3-0-0_095073_2016-05-16_final
2016-06-22 10:03:54	ga_ls8c_ard_3-0-0_098070_2016-06-22_final
2016-09-25 09:22:19	ga_ls8c_ard_3-0-0_091073_2016-09-24_final
2016-11-26 11:14:28	ga_ls8c_ard_3-1-0_109075_2016-11-26_final
2017-03-18 09:31:44	ga_ls8c_ard_3-0-0_093067_2017-03-18_final
2017-04-18 10:29:53	ga_ls8c_ard_3-0-0_102074_2017-04-18_final
2017-05-27 10:39:00	ga_ls8c_ard_3-0-0_103081_2017-05-27_final
2017-06-06 09:31:41	ga_ls8c_ard_3-0-0_093067_2017-06-06_final
2017-07-24 09:34:21	ga_ls8c_ard_3-0-0_093073_2017-07-24_final
2017-09-10 09:32:10	ga_ls8c_ard_3-0-0_093067_2017-09-10_final
2017-09-20 10:13:16	ga_ls8c_ard_3-0-0_099077_2017-09-20_final
2017-10-13 11:58:52	ga_ls8c_ard_3-0-0_116078_2017-10-13_final
2017-10-29 10:20:00	ga_ls8c_ard_3-0-0_100078_2017-10-29_final
2017-11-22 09:28:52	ga_ls8c_ard_3-0-0_092074_2017-11-21_final
2018-04-04 11:25:07	ga_ls8c_ard_3-0-0_111073_2018-04-04_final
2018-04-06 11:13:56	ga_ls8c_ard_3-0-0_109076_2018-04-06_final
2018-04-08 09:21:28	ga_ls8c_ard_3-0-0_091073_2018-04-07_final
2018-04-29 11:17:06	ga_ls8c_ard_3-0-0_110069_2018-04-29_final
2018-08-03 09:39:08	ga_ls8c_ard_3-0-0_094071_2018-08-03_final
2018-08-15 11:45:15	ga_ls8c_ard_3-0-0_114077_2018-08-15_final
2018-10-02 10:09:53	ga_ls8c_ard_3-0-0_098085_2018-10-02_final
2018-10-14 10:33:29	ga_ls8c_ard_3-0-0_102082_2018-10-14_final
2018-10-16 10:19:33	ga_ls8c_ard_3-0-0_100078_2018-10-16_final
2018-10-21 10:35:43	ga_ls8c_ard_3-0-0_103072_2018-10-21_final
2018-12-20 09:27:33	ga_ls8c_ard_3-0-0_091087_2018-12-19_final
2018-12-21 11:45:18	ga_ls8c_ard_3-0-0_114076_2018-12-21_final
2019-01-24 11:32:28	ga_ls8c_ard_3-0-0_112075_2019-01-24_final
2019-01-28 11:05:44	ga_ls8c_ard_3-0-0_108070_2019-01-28_final
2019-02-13 09:26:01	ga_ls8c_ard_3-0-0_092068_2019-02-12_final
2019-03-10 09:19:43	ga_ls8c_ard_3-1-0_091068_2019-03-09_final
2019-03-10 09:28:30	ga_ls8c_ard_3-1-0_091090_2019-03-09_final
2019-03-27 10:06:54	ga_ls8c_ard_3-1-0_098078_2019-03-27_final
2019-04-21 11:37:04	ga_ls8c_ard_3-0-0_113072_2019-04-21_final
2019-05-23 11:41:41	ga_ls8c_ard_3-0-0_113083_2019-05-23_final
2019-10-09 09:40:36	ga_ls8c_ard_3-1-0_094072_2019-10-09_final
2020-01-25 11:44:45	ga_ls8c_ard_3-1-0_114074_2020-01-25_final
2020-02-07 09:37:17	ga_ls8c_ard_3-1-0_093080_2020-02-07_final
2020-04-25 11:25:36	ga_ls8c_ard_3-1-0_111074_2020-04-25_final
2020-06-12 11:23:42	ga_ls8c_ard_3-1-0_111069_2020-06-12_final
2020-08-20 11:46:17	ga_ls8c_ard_3-1-0_114078_2020-08-20_final
2020-12-11 10:49:21	ga_ls8c_ard_3-1-0_105074_2020-12-11_final
2020-12-28 09:50:53	ga_ls8c_ard_3-2-0_096067_2020-12-28_final
2021-01-11 10:04:45	ga_ls8c_ard_3-2-0_098071_2021-01-11_final
2021-02-07 11:23:24	ga_ls8c_ard_3-2-0_111067_2021-02-07_final
2021-02-16 11:19:11	ga_ls8c_ard_3-2-0_110072_2021-02-16_final
2021-03-04 11:17:04	ga_ls8c_ard_3-2-0_110067_2021-03-04_final
2021-03-12 10:33:08	ga_ls8c_ard_3-2-0_102081_2021-03-12_final
2021-03-17 10:46:50	ga_ls8c_ard_3-2-0_105069_2021-03-17_final
2021-06-19 09:28:43	ga_ls8c_ard_3-2-0_091090_2021-06-18_final
2021-08-19 10:29:02	ga_ls8c_ard_3-2-0_102070_2021-08-19_final
2021-10-16 09:32:41	ga_ls8c_ard_3-2-0_092083_2021-10-16_final
2021-11-02 11:52:50	ga_ls8c_ard_3-2-0_115078_2021-11-02_final
2022-01-11 09:35:28	ga_ls8c_ard_3-2-1_093075_2022-01-11_final
2022-01-12 10:19:08	ga_ls8c_ard_3-2-1_100076_2022-01-12_final
2022-02-19 11:24:20	ga_ls8c_ard_3-2-1_110085_2022-02-19_final
2022-03-15 10:33:11	ga_ls8c_ard_3-2-1_102081_2022-03-15_final
2022-05-06 10:03:36	ga_ls8c_ard_3-2-1_098069_2022-05-06_final
2022-05-21 09:22:25	ga_ls8c_ard_3-2-1_091074_2022-05-20_final
2022-06-24 10:50:02	ga_ls8c_ard_3-2-1_105076_2022-06-24_final
2022-07-24 09:22:25	ga_ls8c_ard_3-2-1_091073_2022-07-23_final
2022-08-28 09:52:43	ga_ls8c_ard_3-2-1_096071_2022-08-28_final
2022-09-28 10:47:39	ga_ls8c_ard_3-2-1_105069_2022-09-28_final
2022-10-20 10:14:05	ga_ls8c_ard_3-2-1_099078_2022-10-20_final
2022-11-17 10:37:10	ga_ls8c_ard_3-2-1_103074_2022-11-17_final
2022-11-21 10:13:39	ga_ls8c_ard_3-2-1_099077_2022-11-21_final
2022-12-07 10:11:17	ga_ls8c_ard_3-2-1_099071_2022-12-07_final
2023-01-18 09:11:35	ga_ls8c_ard_3-2-1_089077_2023-01-17_final
2023-02-02 10:02:56	ga_ls8c_ard_3-2-1_098066_2023-02-02_final
2023-02-17 09:27:54	ga_ls8c_ard_3-2-1_091087_2023-02-16_final
2023-02-28 09:07:11	ga_ls8c_ard_3-2-1_088082_2023-02-27_final
2023-03-31 11:37:26	ga_ls8c_ard_3-2-1_113072_2023-03-31_final
2023-04-30 11:51:29	ga_ls8c_ard_3-2-1_115077_2023-04-30_final
2023-06-01 10:14:49	ga_ls8c_ard_3-2-1_099083_2023-06-01_final
2023-06-14 09:39:17	ga_ls8c_ard_3-2-1_094071_2023-06-14_final
2023-07-19 10:10:25	ga_ls8c_ard_3-2-1_099071_2023-07-19_final
2023-10-13 09:40:12	ga_ls8c_ard_3-2-1_093087_2023-10-13_final
2023-11-28 11:24:19	ga_ls8c_ard_3-2-1_111069_2023-11-28_final
2023-12-03 10:04:43	ga_ls8c_ard_3-2-1_098071_2023-12-03_final
2023-12-09 11:08:03	ga_ls8c_ard_3-2-1_108075_2023-12-09_final
2024-02-08 10:39:32	ga_ls8c_ard_3-2-1_103081_2024-02-08_final
2024-03-03 11:23:38	ga_ls8c_ard_3-2-1_111068_2024-03-03_final
2024-03-11 10:36:30	ga_ls8c_ard_3-2-1_103074_2024-03-11_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