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
2014-04-23 11:41:55	ga_ls8c_ard_3-0-0_113083_2014-04-23_final
2014-05-09 11:35:16	ga_ls8c_ard_3-0-0_113067_2014-05-09_final
2014-05-11 09:51:35	ga_ls8c_ard_3-0-0_095086_2014-05-11_final
2014-07-26 11:51:06	ga_ls8c_ard_3-0-0_115075_2014-07-26_final
2014-08-22 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-08-22_final
2014-09-16 09:45:45	ga_ls8c_ard_3-0-0_095070_2014-09-16_final
2014-12-14 09:39:55	ga_ls8c_ard_3-0-0_094071_2014-12-14_final
2015-07-08 11:31:45	ga_ls8c_ard_3-0-0_112074_2015-07-08_final
2015-08-18 11:28:37	ga_ls8c_ard_3-0-0_111081_2015-08-18_final
2015-08-30 11:53:00	ga_ls8c_ard_3-0-0_115080_2015-08-30_final
2016-04-10 11:52:49	ga_ls8c_ard_3-0-0_115080_2016-04-10_final
2016-04-23 11:16:38	ga_ls8c_ard_3-0-0_110067_2016-04-23_final
2016-04-28 11:39:12	ga_ls8c_ard_3-0-0_113077_2016-04-28_final
2016-05-28 11:52:27	ga_ls8c_ard_3-0-0_115079_2016-05-28_final
2016-07-24 11:47:25	ga_ls8c_ard_3-0-0_114081_2016-07-24_final
2016-08-23 11:57:31	ga_ls8c_ard_3-0-0_116075_2016-08-23_final
2016-08-23 11:57:55	ga_ls8c_ard_3-0-0_116076_2016-08-23_final
2016-10-16 09:45:21	ga_ls8c_ard_3-0-0_094084_2016-10-16_final
2016-11-17 09:40:58	ga_ls8c_ard_3-0-0_094073_2016-11-17_final
2016-12-06 11:51:31	ga_ls8c_ard_3-0-0_115075_2016-12-06_final
2016-12-17 11:31:44	ga_ls8c_ard_3-0-0_112072_2016-12-17_final
2017-02-08 11:52:47	ga_ls8c_ard_3-0-0_115079_2017-02-08_final
2017-03-28 11:52:48	ga_ls8c_ard_3-0-0_115080_2017-03-28_final
2017-08-22 09:07:37	ga_ls8c_ard_3-0-0_088083_2017-08-21_final
2017-12-06 09:39:58	ga_ls8c_ard_3-0-0_094071_2017-12-06_final
2018-01-21 11:30:16	ga_ls8c_ard_3-0-0_112069_2018-01-21_final
2018-02-24 11:23:38	ga_ls8c_ard_3-0-0_110084_2018-02-24_final
2018-03-17 11:37:12	ga_ls8c_ard_3-0-0_113072_2018-03-17_final
2018-04-27 11:30:40	ga_ls8c_ard_3-0-0_112072_2018-04-27_final
2018-05-06 11:28:00	ga_ls8c_ard_3-0-0_111081_2018-05-06_final
2018-07-09 11:23:13	ga_ls8c_ard_3-0-0_111069_2018-07-09_final
2018-08-08 11:37:49	ga_ls8c_ard_3-0-0_113074_2018-08-08_final
2018-09-20 09:39:28	ga_ls8c_ard_3-0-0_094071_2018-09-20_final
2018-11-30 11:25:12	ga_ls8c_ard_3-0-0_111072_2018-11-30_final
2018-12-25 09:40:30	ga_ls8c_ard_3-0-0_094073_2018-12-25_final
2019-01-10 11:24:09	ga_ls8c_ard_3-0-0_110085_2019-01-10_final
2019-01-29 11:52:59	ga_ls8c_ard_3-0-0_115080_2019-01-29_final
2019-02-09 11:30:02	ga_ls8c_ard_3-0-0_112069_2019-02-09_final
2019-04-14 11:34:32	ga_ls8c_ard_3-1-0_112081_2019-04-14_final
2019-05-18 09:39:25	ga_ls8c_ard_3-0-0_094071_2019-05-18_final
2019-06-13 11:57:36	ga_ls8c_ard_3-1-0_116076_2019-06-13_final
2019-08-06 09:40:18	ga_ls8c_ard_3-1-0_094072_2019-08-06_final
2019-11-26 11:18:38	ga_ls8c_ard_3-1-0_110070_2019-11-26_final
2019-12-28 09:40:52	ga_ls8c_ard_3-1-0_094073_2019-12-28_final
2020-06-08 11:52:47	ga_ls8c_ard_3-1-0_115080_2020-06-08_final
2020-06-21 09:45:31	ga_ls8c_ard_3-1-0_094086_2020-06-21_final
2021-03-09 09:57:53	ga_ls8c_ard_3-2-0_097070_2021-03-09_final
2021-04-08 11:52:56	ga_ls8c_ard_3-2-0_115080_2021-04-08_final
2021-04-21 09:45:51	ga_ls8c_ard_3-2-0_094087_2021-04-21_final
2021-05-05 11:29:22	ga_ls8c_ard_3-2-0_112068_2021-05-05_final
2021-05-14 09:45:35	ga_ls8c_ard_3-2-0_095071_2021-05-14_final
2021-06-05 10:49:11	ga_ls8c_ard_3-2-0_105075_2021-06-05_final
2021-07-17 09:51:31	ga_ls8c_ard_3-2-0_095085_2021-07-17_final
2021-08-02 11:24:57	ga_ls8c_ard_3-2-0_111071_2021-08-02_final
2021-09-15 11:53:29	ga_ls8c_ard_3-2-0_115080_2021-09-15_final
2021-09-21 09:33:56	ga_ls8c_ard_3-2-0_093071_2021-09-21_final
2021-09-26 11:31:47	ga_ls8c_ard_3-2-0_112072_2021-09-26_final
2021-11-05 10:41:38	ga_ls8c_ard_3-2-0_104070_2021-11-05_final
2021-11-20 11:35:59	ga_ls8c_ard_3-2-0_113067_2021-11-20_final
2021-12-05 10:55:57	ga_ls8c_ard_3-2-1_106075_2021-12-05_final
2021-12-21 10:58:42	ga_ls8c_ard_3-2-1_106082_2021-12-21_final
2021-12-26 09:36:43	ga_ls8c_ard_3-2-1_093078_2021-12-26_final
2022-01-04 11:10:35	ga_ls8c_ard_3-2-1_108081_2022-01-04_final
2022-01-06 09:21:20	ga_ls8c_ard_3-2-1_090086_2022-01-05_final
2022-02-05 09:34:47	ga_ls8c_ard_3-2-1_092089_2022-02-05_final
2022-02-26 09:51:13	ga_ls8c_ard_3-2-1_095084_2022-02-26_final
2022-03-10 11:53:11	ga_ls8c_ard_3-2-1_115080_2022-03-10_final
2022-04-05 10:52:21	ga_ls8c_ard_3-2-1_105083_2022-04-05_final
2022-04-17 11:12:22	ga_ls8c_ard_3-2-1_109071_2022-04-17_final
2022-05-10 11:23:47	ga_ls8c_ard_3-2-1_110084_2022-05-10_final
2022-05-19 09:33:35	ga_ls8c_ard_3-2-1_093071_2022-05-19_final
2022-05-19 09:34:47	ga_ls8c_ard_3-2-1_093074_2022-05-19_final
2022-05-24 11:31:24	ga_ls8c_ard_3-2-1_112072_2022-05-24_final
2022-06-08 10:49:30	ga_ls8c_ard_3-2-1_105075_2022-06-08_final
2022-08-29 10:34:47	ga_ls8c_ard_3-2-1_103068_2022-08-29_final
2022-09-15 11:18:32	ga_ls8c_ard_3-2-1_110069_2022-09-15_final
2022-10-12 09:27:23	ga_ls8c_ard_3-2-1_091085_2022-10-11_final
2022-11-06 09:17:44	ga_ls8c_ard_3-2-1_090076_2022-11-05_final
2022-12-02 11:36:49	ga_ls8c_ard_3-2-1_112084_2022-12-02_final
2022-12-03 10:36:24	ga_ls8c_ard_3-2-1_103072_2022-12-03_final
2022-12-07 11:53:45	ga_ls8c_ard_3-2-1_115080_2022-12-07_final
2023-01-07 11:07:57	ga_ls8c_ard_3-2-1_108074_2023-01-07_final
2023-01-23 11:08:17	ga_ls8c_ard_3-2-1_108075_2023-01-23_final
2023-02-04 09:52:58	ga_ls8c_ard_3-2-1_096072_2023-02-04_final
2023-02-09 11:53:33	ga_ls8c_ard_3-2-1_115080_2023-02-09_final
2023-05-24 11:04:15	ga_ls8c_ard_3-2-1_107083_2023-05-24_final
2023-06-29 10:33:50	ga_ls8c_ard_3-2-1_103068_2023-06-29_final
2023-07-11 11:01:51	ga_ls8c_ard_3-2-1_107076_2023-07-11_final
2023-09-02 09:40:13	ga_ls8c_ard_3-2-1_094072_2023-09-02_final
2023-09-06 12:31:14	ga_ls8c_ard_3-2-1_122067_2023-09-06_final
2023-10-18 09:52:44	ga_ls8c_ard_3-2-1_096072_2023-10-18_final
2023-11-21 09:46:27	ga_ls8c_ard_3-2-1_094087_2023-11-21_final
2023-12-15 10:33:27	ga_ls8c_ard_3-2-1_102081_2023-12-15_final
2023-12-18 11:01:34	ga_ls8c_ard_3-2-1_107074_2023-12-18_final
2023-12-18 11:02:22	ga_ls8c_ard_3-2-1_107076_2023-12-18_final
2024-01-08 11:24:24	ga_ls8c_ard_3-2-1_110085_2024-01-08_final
2024-01-22 11:31:56	ga_ls8c_ard_3-2-1_112073_2024-01-22_final
2024-02-12 10:13:37	ga_ls8c_ard_3-2-1_099078_2024-02-12_final
2024-03-15 11:53:02	ga_ls8c_ard_3-2-1_115080_2024-03-15_final
2024-03-19 09:46:59	ga_ls8c_ard_3-2-1_095074_2024-03-19_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