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
2013-05-26 11:15:47	ga_ls8c_ard_3-0-0_109074_2013-05-26_final
2013-11-02 11:19:27	ga_ls8c_ard_3-0-0_109084_2013-11-02_final
2014-02-01 10:59:50	ga_ls8c_ard_3-0-0_106083_2014-02-01_final
2014-05-05 10:26:44	ga_ls8c_ard_3-0-0_101081_2014-05-05_final
2014-06-26 11:35:22	ga_ls8c_ard_3-0-0_113067_2014-06-26_final
2014-11-16 10:58:59	ga_ls8c_ard_3-0-0_106083_2014-11-16_final
2014-11-24 11:42:01	ga_ls8c_ard_3-0-0_114067_2014-11-24_final
2014-12-09 11:00:41	ga_ls8c_ard_3-0-0_107072_2014-12-09_final
2014-12-29 10:39:53	ga_ls8c_ard_3-0-0_103082_2014-12-29_final
2015-02-04 10:58:43	ga_ls8c_ard_3-0-0_106083_2015-02-04_final
2015-03-01 10:45:59	ga_ls8c_ard_3-0-0_105067_2015-03-01_final
2015-03-18 11:29:51	ga_ls8c_ard_3-0-0_112069_2015-03-18_final
2015-04-06 10:27:15	ga_ls8c_ard_3-0-0_101083_2015-04-06_final
2015-04-18 10:45:35	ga_ls8c_ard_3-0-0_105067_2015-04-18_final
2015-07-22 11:44:37	ga_ls8c_ard_3-0-0_114075_2015-07-22_final
2015-10-31 10:22:48	ga_ls8c_ard_3-0-0_101070_2015-10-31_final
2015-11-10 11:03:52	ga_ls8c_ard_3-0-0_107080_2015-11-10_final
2015-11-16 10:22:48	ga_ls8c_ard_3-0-0_101070_2015-11-16_final
2015-11-25 10:21:51	ga_ls8c_ard_3-0-0_100083_2015-11-25_final
2015-12-16 10:39:34	ga_ls8c_ard_3-0-0_103081_2015-12-16_final
2015-12-20 11:52:57	ga_ls8c_ard_3-0-0_115079_2015-12-20_final
2015-12-24 11:24:38	ga_ls8c_ard_3-0-0_111070_2015-12-24_final
2016-01-28 11:57:27	ga_ls8c_ard_3-0-0_116075_2016-01-28_final
2016-03-13 11:23:32	ga_ls8c_ard_3-0-0_111068_2016-03-13_final
2016-08-01 10:54:24	ga_ls8c_ard_3-0-0_106072_2016-08-01_final
2016-09-19 11:42:16	ga_ls8c_ard_3-0-0_113083_2016-09-19_final
2016-10-02 11:06:12	ga_ls8c_ard_3-0-0_108070_2016-10-02_final
2016-12-09 10:46:19	ga_ls8c_ard_3-0-0_104082_2016-12-09_final
2017-01-05 10:28:04	ga_ls8c_ard_3-0-0_101083_2017-01-05_final
2017-05-12 11:23:17	ga_ls8c_ard_3-0-0_110084_2017-05-12_final
2017-05-28 11:23:04	ga_ls8c_ard_3-0-0_110083_2017-05-28_final
2017-07-22 11:29:10	ga_ls8c_ard_3-0-0_111082_2017-07-22_final
2017-09-27 11:58:00	ga_ls8c_ard_3-0-0_116076_2017-09-27_final
2017-11-28 10:33:25	ga_ls8c_ard_3-0-0_102081_2017-11-28_final
2017-12-06 11:20:27	ga_ls8c_ard_3-0-0_110075_2017-12-06_final
2017-12-26 10:53:46	ga_ls8c_ard_3-0-0_106070_2017-12-26_final
2018-01-09 11:09:38	ga_ls8c_ard_3-0-0_108079_2018-01-09_final
2018-02-07 10:34:06	ga_ls8c_ard_3-0-0_103068_2018-02-07_final
2018-03-22 10:18:25	ga_ls8c_ard_3-0-0_100076_2018-03-22_final
2018-08-19 11:19:22	ga_ls8c_ard_3-0-0_110074_2018-08-19_final
2018-08-29 11:57:19	ga_ls8c_ard_3-0-0_116076_2018-08-29_final
2018-09-05 10:22:16	ga_ls8c_ard_3-0-0_101070_2018-09-05_final
2018-12-19 10:19:34	ga_ls8c_ard_3-0-0_100078_2018-12-19_final
2018-12-23 11:31:21	ga_ls8c_ard_3-0-0_112072_2018-12-23_final
2019-04-11 11:02:03	ga_ls8c_ard_3-1-0_107077_2019-04-11_final
2019-04-23 11:23:54	ga_ls8c_ard_3-0-0_111070_2019-04-23_final
2019-06-28 11:14:25	ga_ls8c_ard_3-1-0_109076_2019-06-28_final
2019-09-06 10:40:03	ga_ls8c_ard_3-1-0_103082_2019-09-06_final
2019-12-13 10:26:11	ga_ls8c_ard_3-2-0_101078_2019-12-13_final
2019-12-16 12:31:34	ga_ls8c_ard_3-2-1_122067_2019-12-16_final
2019-12-19 11:23:58	ga_ls8c_ard_3-2-0_111068_2019-12-19_final
2020-01-27 11:31:59	ga_ls8c_ard_3-1-0_112073_2020-01-27_final
2020-04-22 10:55:08	ga_ls8c_ard_3-1-0_106075_2020-04-22_final
2020-08-02 11:58:32	ga_ls8c_ard_3-1-0_116078_2020-08-02_final
2020-08-06 11:29:26	ga_ls8c_ard_3-1-0_112067_2020-08-06_final
2020-11-28 11:18:39	ga_ls8c_ard_3-1-0_110070_2020-11-28_final
2020-12-10 10:07:17	ga_ls8c_ard_3-1-0_098077_2020-12-10_final
2020-12-11 09:14:52	ga_ls8c_ard_3-1-0_089085_2020-12-10_final
2020-12-11 10:49:21	ga_ls8c_ard_3-1-0_105074_2020-12-11_final
2021-01-04 09:57:02	ga_ls8c_ard_3-2-0_097067_2021-01-04_final
2021-01-25 11:58:19	ga_ls8c_ard_3-2-0_116077_2021-01-25_final
2021-02-23 09:46:02	ga_ls8c_ard_3-2-0_095071_2021-02-23_final
2021-03-07 10:15:51	ga_ls8c_ard_3-2-0_099084_2021-03-07_final
2021-03-25 11:37:27	ga_ls8c_ard_3-2-0_113072_2021-03-25_final
2021-03-28 10:33:27	ga_ls8c_ard_3-2-0_102082_2021-03-28_final
2021-05-16 09:34:02	ga_ls8c_ard_3-2-0_093073_2021-05-16_final
2021-05-21 11:30:19	ga_ls8c_ard_3-2-0_112070_2021-05-21_final
2021-07-21 09:22:03	ga_ls8c_ard_3-2-0_091073_2021-07-20_final
2021-07-28 09:33:52	ga_ls8c_ard_3-2-0_092087_2021-07-28_final
2021-08-21 11:58:45	ga_ls8c_ard_3-2-0_116078_2021-08-21_final
2021-09-14 09:33:20	ga_ls8c_ard_3-2-0_092085_2021-09-14_final
2021-10-21 09:46:02	ga_ls8c_ard_3-2-0_095070_2021-10-21_final
2021-10-23 09:39:40	ga_ls8c_ard_3-2-0_093085_2021-10-23_final
2021-11-13 09:51:45	ga_ls8c_ard_3-2-0_096069_2021-11-13_final
2022-03-16 09:40:21	ga_ls8c_ard_3-2-1_093088_2022-03-16_final
2022-03-16 11:15:15	ga_ls8c_ard_3-2-1_109078_2022-03-16_final
2022-04-21 10:48:01	ga_ls8c_ard_3-2-1_105072_2022-04-21_final
2022-05-08 09:52:51	ga_ls8c_ard_3-2-1_096073_2022-05-08_final
2022-07-02 09:57:25	ga_ls8c_ard_3-2-1_097068_2022-07-02_final
2022-07-15 09:28:05	ga_ls8c_ard_3-2-1_092072_2022-07-14_final
2022-07-20 09:52:16	ga_ls8c_ard_3-2-1_095086_2022-07-20_final
2022-08-01 10:11:33	ga_ls8c_ard_3-2-1_099072_2022-08-01_final
2022-09-25 10:20:45	ga_ls8c_ard_3-2-1_100079_2022-09-25_final
2022-10-02 10:24:55	ga_ls8c_ard_3-2-1_101074_2022-10-02_final
2022-11-04 11:08:35	ga_ls8c_ard_3-2-1_108075_2022-11-04_final
2022-11-12 11:57:58	ga_ls8c_ard_3-2-1_116075_2022-11-12_final
2022-11-12 11:58:22	ga_ls8c_ard_3-2-1_116076_2022-11-12_final
2022-12-07 10:11:17	ga_ls8c_ard_3-2-1_099071_2022-12-07_final
2022-12-08 09:21:38	ga_ls8c_ard_3-2-1_090086_2022-12-07_final
2023-01-09 09:17:05	ga_ls8c_ard_3-2-1_090075_2023-01-08_final
2023-01-19 09:58:28	ga_ls8c_ard_3-2-1_096086_2023-01-19_final
2023-03-14 09:20:16	ga_ls8c_ard_3-2-1_090084_2023-03-13_final
2023-04-02 11:28:38	ga_ls8c_ard_3-2-1_111081_2023-04-02_final
2023-04-06 09:21:46	ga_ls8c_ard_3-2-1_091073_2023-04-05_final
2023-10-01 09:15:50	ga_ls8c_ard_3-2-1_089088_2023-09-30_final
2023-10-06 09:33:10	ga_ls8c_ard_3-2-1_092085_2023-10-06_final
2023-11-28 09:46:38	ga_ls8c_ard_3-2-1_095072_2023-11-28_final
2023-12-30 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-12-30_final
2024-01-05 10:49:52	ga_ls8c_ard_3-2-1_105076_2024-01-05_final
2024-02-02 09:34:31	ga_ls8c_ard_3-2-1_093073_2024-02-02_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