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
2013-07-20 11:19:04	ga_ls8c_ard_3-0-0_110067_2013-07-20_final
2013-08-30 11:16:34	ga_ls8c_ard_3-0-0_109076_2013-08-30_final
2014-05-29 11:14:05	ga_ls8c_ard_3-0-0_109076_2014-05-29_final
2014-07-10 11:52:15	ga_ls8c_ard_3-0-0_115078_2014-07-10_final
2014-08-06 11:31:53	ga_ls8c_ard_3-0-0_112073_2014-08-06_final
2014-08-14 09:07:11	ga_ls8c_ard_3-0-0_088082_2014-08-13_final
2014-08-22 11:31:57	ga_ls8c_ard_3-0-0_112073_2014-08-22_final
2014-09-09 11:23:38	ga_ls8c_ard_3-0-0_110083_2014-09-09_final
2014-11-03 11:30:17	ga_ls8c_ard_3-0-0_111084_2014-11-03_final
2015-04-19 11:32:50	ga_ls8c_ard_3-0-0_112077_2015-04-19_final
2015-10-14 09:39:50	ga_ls8c_ard_3-0-0_094071_2015-10-14_final
2015-10-19 11:37:41	ga_ls8c_ard_3-0-0_113072_2015-10-19_final
2015-10-26 11:41:55	ga_ls8c_ard_3-0-0_114067_2015-10-26_final
2015-11-08 11:13:50	ga_ls8c_ard_3-0-0_109074_2015-11-08_final
2015-12-07 09:06:28	ga_ls8c_ard_3-0-0_088080_2015-12-06_final
2016-02-24 11:37:33	ga_ls8c_ard_3-0-0_113072_2016-02-24_final
2016-03-02 11:41:44	ga_ls8c_ard_3-0-0_114067_2016-03-02_final
2016-03-04 11:29:46	ga_ls8c_ard_3-0-0_112068_2016-03-04_final
2016-05-09 09:39:48	ga_ls8c_ard_3-0-0_094072_2016-05-09_final
2016-05-16 11:22:51	ga_ls8c_ard_3-0-0_111067_2016-05-16_final
2016-05-25 09:37:51	ga_ls8c_ard_3-0-0_094067_2016-05-25_final
2016-08-02 11:35:40	ga_ls8c_ard_3-0-0_113067_2016-08-02_final
2016-08-29 09:40:23	ga_ls8c_ard_3-0-0_094072_2016-08-29_final
2016-09-30 11:17:21	ga_ls8c_ard_3-0-0_110067_2016-09-30_final
2016-10-16 11:17:27	ga_ls8c_ard_3-0-0_110067_2016-10-16_final
2016-11-17 11:20:15	ga_ls8c_ard_3-0-0_110074_2016-11-17_final
2017-06-20 11:29:48	ga_ls8c_ard_3-0-0_111084_2017-06-20_final
2017-08-09 11:14:32	ga_ls8c_ard_3-0-0_109076_2017-08-09_final
2017-10-10 11:30:21	ga_ls8c_ard_3-0-0_111084_2017-10-10_final
2017-11-04 09:46:06	ga_ls8c_ard_3-0-0_094086_2017-11-04_final
2018-05-15 09:45:14	ga_ls8c_ard_3-0-0_094087_2018-05-15_final
2018-06-23 11:23:04	ga_ls8c_ard_3-0-0_111069_2018-06-23_final
2018-10-13 09:46:38	ga_ls8c_ard_3-0-0_095073_2018-10-13_final
2019-01-21 11:05:10	ga_ls8c_ard_3-0-0_107084_2019-01-21_final
2019-03-31 09:37:46	ga_ls8c_ard_3-1-0_094067_2019-03-31_final
2019-05-16 11:31:03	ga_ls8c_ard_3-0-0_112072_2019-05-16_final
2019-05-27 11:17:24	ga_ls8c_ard_3-0-0_109084_2019-05-27_final
2019-07-23 11:07:32	ga_ls8c_ard_3-1-0_108074_2019-07-23_final
2019-07-23 11:11:07	ga_ls8c_ard_3-1-0_108083_2019-07-23_final
2019-09-07 09:44:50	ga_ls8c_ard_3-1-0_094083_2019-09-07_final
2019-10-18 11:14:07	ga_ls8c_ard_3-1-0_109074_2019-10-18_final
2019-10-25 09:38:38	ga_ls8c_ard_3-1-0_094067_2019-10-25_final
2020-03-08 09:46:19	ga_ls8c_ard_3-1-0_095072_2020-03-08_final
2020-05-26 09:06:35	ga_ls8c_ard_3-1-0_088082_2020-05-25_final
2020-06-23 11:07:16	ga_ls8c_ard_3-1-0_108074_2020-06-23_final
2020-10-04 11:16:50	ga_ls8c_ard_3-1-0_109081_2020-10-04_final
2020-10-18 09:51:32	ga_ls8c_ard_3-1-0_095084_2020-10-18_final
2021-03-20 09:39:38	ga_ls8c_ard_3-2-0_094071_2021-03-20_final
2021-04-07 11:11:17	ga_ls8c_ard_3-2-0_108084_2021-04-07_final
2021-04-23 09:25:54	ga_ls8c_ard_3-2-0_092068_2021-04-22_final
2021-05-03 10:09:15	ga_ls8c_ard_3-2-0_098084_2021-05-03_final
2021-05-17 11:57:23	ga_ls8c_ard_3-2-0_116076_2021-05-17_final
2021-06-15 08:10:33	ga_ls8c_ard_3-2-1_079080_2021-06-14_final
2021-06-23 10:36:31	ga_ls8c_ard_3-2-0_103074_2021-06-23_final
2021-08-02 09:46:04	ga_ls8c_ard_3-2-0_095071_2021-08-02_final
2021-08-11 11:20:26	ga_ls8c_ard_3-2-0_110075_2021-08-11_final
2021-09-12 11:17:23	ga_ls8c_ard_3-2-0_110067_2021-09-12_final
2021-09-19 11:25:35	ga_ls8c_ard_3-2-0_111072_2021-09-19_final
2021-10-23 11:14:57	ga_ls8c_ard_3-2-0_109076_2021-10-23_final
2021-10-31 10:26:42	ga_ls8c_ard_3-2-0_101079_2021-10-31_final
2021-11-25 10:19:39	ga_ls8c_ard_3-2-0_100077_2021-11-25_final
2021-11-27 11:42:11	ga_ls8c_ard_3-2-0_114067_2021-11-27_final
2021-12-12 12:37:48	ga_ls8c_ard_3-2-1_123067_2021-12-12_final
2021-12-20 10:13:27	ga_ls8c_ard_3-2-1_099077_2021-12-20_final
2021-12-30 09:12:22	ga_ls8c_ard_3-2-1_089079_2021-12-29_final
2022-02-06 10:13:15	ga_ls8c_ard_3-2-1_099077_2022-02-06_final
2022-02-15 10:04:13	ga_ls8c_ard_3-2-1_098070_2022-02-15_final
2022-02-21 11:07:58	ga_ls8c_ard_3-2-1_108075_2022-02-21_final
2022-04-03 09:21:25	ga_ls8c_ard_3-2-1_091072_2022-04-02_final
2022-04-27 11:51:46	ga_ls8c_ard_3-2-1_115077_2022-04-27_final
2022-04-30 10:45:47	ga_ls8c_ard_3-2-1_104082_2022-04-30_final
2022-05-16 10:42:21	ga_ls8c_ard_3-2-1_104073_2022-05-16_final
2022-05-28 11:07:28	ga_ls8c_ard_3-2-1_108074_2022-05-28_final
2022-06-21 11:57:36	ga_ls8c_ard_3-2-1_116075_2022-06-21_final
2022-06-21 11:58:00	ga_ls8c_ard_3-2-1_116076_2022-06-21_final
2022-07-10 09:10:21	ga_ls8c_ard_3-2-1_089074_2022-07-09_final
2022-12-07 10:14:52	ga_ls8c_ard_3-2-1_099080_2022-12-07_final
2022-12-31 11:01:47	ga_ls8c_ard_3-2-1_107074_2022-12-31_final
2023-02-03 09:11:42	ga_ls8c_ard_3-2-1_089077_2023-02-02_final
2023-02-26 09:17:57	ga_ls8c_ard_3-2-1_090078_2023-02-25_final
2023-03-17 11:24:26	ga_ls8c_ard_3-2-1_111070_2023-03-17_final
2023-03-21 09:21:58	ga_ls8c_ard_3-2-1_091073_2023-03-20_final
2023-03-21 09:22:22	ga_ls8c_ard_3-2-1_091074_2023-03-20_final
2023-03-29 11:52:13	ga_ls8c_ard_3-2-1_115078_2023-03-29_final
2023-04-24 09:10:50	ga_ls8c_ard_3-2-1_089077_2023-04-23_final
2023-04-28 10:27:22	ga_ls8c_ard_3-2-1_101083_2023-04-28_final
2023-05-29 11:19:13	ga_ls8c_ard_3-2-1_110074_2023-05-29_final
2023-07-28 10:03:09	ga_ls8c_ard_3-2-1_098068_2023-07-28_final
2023-08-05 09:16:33	ga_ls8c_ard_3-2-1_090075_2023-08-04_final
2023-09-02 11:20:18	ga_ls8c_ard_3-2-1_110075_2023-09-02_final
2023-09-05 11:52:46	ga_ls8c_ard_3-2-1_115079_2023-09-05_final
2023-09-09 11:23:41	ga_ls8c_ard_3-2-1_111068_2023-09-09_final
2023-10-29 11:17:32	ga_ls8c_ard_3-2-1_109083_2023-10-29_final
2023-11-01 10:03:10	ga_ls8c_ard_3-2-1_098067_2023-11-01_final
2024-01-02 11:58:42	ga_ls8c_ard_3-2-1_116078_2024-01-02_final
2024-01-05 10:49:28	ga_ls8c_ard_3-2-1_105075_2024-01-05_final
2024-01-18 10:17:01	ga_ls8c_ard_3-2-1_100071_2024-01-18_final
2024-02-25 09:39:52	ga_ls8c_ard_3-2-1_094071_2024-02-25_final
2024-03-05 09:35:32	ga_ls8c_ard_3-2-1_093076_2024-03-05_final
2024-03-09 09:11:11	ga_ls8c_ard_3-2-1_089077_2024-03-08_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