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
2013-07-13 11:18:30	ga_ls8c_ard_3-0-0_109081_2013-07-13_final
2013-07-20 11:21:52	ga_ls8c_ard_3-0-0_110074_2013-07-20_final
2013-08-23 11:09:59	ga_ls8c_ard_3-0-0_108075_2013-08-23_final
2013-11-12 10:11:39	ga_ls8c_ard_3-0-0_099069_2013-11-12_final
2014-02-05 10:31:04	ga_ls8c_ard_3-0-0_102073_2014-02-05_final
2014-03-25 10:29:11	ga_ls8c_ard_3-0-0_102070_2014-03-25_final
2014-05-20 11:19:49	ga_ls8c_ard_3-0-0_110075_2014-05-20_final
2014-07-30 11:25:38	ga_ls8c_ard_3-0-0_111073_2014-07-30_final
2014-09-23 11:32:21	ga_ls8c_ard_3-0-0_112074_2014-09-23_final
2015-01-24 11:14:04	ga_ls8c_ard_3-0-0_109075_2015-01-24_final
2015-02-26 10:17:54	ga_ls8c_ard_3-0-0_100074_2015-02-26_final
2015-03-12 10:32:52	ga_ls8c_ard_3-0-0_102081_2015-03-12_final
2015-05-05 09:57:20	ga_ls8c_ard_3-0-0_096086_2015-05-05_final
2015-06-21 10:48:19	ga_ls8c_ard_3-0-0_105074_2015-06-21_final
2015-10-17 10:13:32	ga_ls8c_ard_3-0-0_099078_2015-10-17_final
2015-11-18 10:11:15	ga_ls8c_ard_3-0-0_099072_2015-11-18_final
2015-12-13 11:41:57	ga_ls8c_ard_3-0-0_114067_2015-12-13_final
2016-01-01 10:39:33	ga_ls8c_ard_3-0-0_103081_2016-01-01_final
2016-01-27 11:14:36	ga_ls8c_ard_3-0-0_109076_2016-01-27_final
2016-01-28 10:20:10	ga_ls8c_ard_3-0-0_100079_2016-01-28_final
2016-03-16 10:16:44	ga_ls8c_ard_3-0-0_100071_2016-03-16_final
2016-04-24 10:26:59	ga_ls8c_ard_3-0-0_101082_2016-04-24_final
2016-06-17 11:25:23	ga_ls8c_ard_3-0-0_111073_2016-06-17_final
2016-07-31 10:13:56	ga_ls8c_ard_3-0-0_099079_2016-07-31_final
2016-09-03 10:01:21	ga_ls8c_ard_3-0-0_097078_2016-09-03_final
2016-09-08 10:19:31	ga_ls8c_ard_3-0-0_100077_2016-09-08_final
2016-11-13 10:02:53	ga_ls8c_ard_3-2-1_098066_2016-11-13_final
2016-12-15 10:02:49	ga_ls8c_ard_3-2-1_098066_2016-12-15_final
2017-02-13 10:28:01	ga_ls8c_ard_3-0-0_102068_2017-02-13_final
2017-05-15 10:09:21	ga_ls8c_ard_3-0-0_099069_2017-05-15_final
2017-06-17 10:52:54	ga_ls8c_ard_3-0-0_106069_2017-06-17_final
2017-09-08 09:46:31	ga_ls8c_ard_3-0-0_095072_2017-09-08_final
2017-11-30 10:19:27	ga_ls8c_ard_3-0-0_100077_2017-11-30_final
2017-12-02 10:09:53	ga_ls8c_ard_3-0-0_098084_2017-12-02_final
2018-01-26 10:13:28	ga_ls8c_ard_3-0-0_099078_2018-01-26_final
2018-02-03 11:03:14	ga_ls8c_ard_3-0-0_107079_2018-02-03_final
2018-02-13 11:35:28	ga_ls8c_ard_3-0-0_113067_2018-02-13_final
2018-03-10 09:50:12	ga_ls8c_ard_3-0-0_096067_2018-03-10_final
2018-04-13 11:23:38	ga_ls8c_ard_3-0-0_110085_2018-04-13_final
2018-05-02 11:52:21	ga_ls8c_ard_3-0-0_115080_2018-05-02_final
2018-08-22 10:09:25	ga_ls8c_ard_3-0-0_099069_2018-08-22_final
2018-12-21 10:02:26	ga_ls8c_ard_3-2-1_098066_2018-12-21_final
2019-03-31 11:17:27	ga_ls8c_ard_3-1-0_110069_2019-03-31_final
2019-04-28 10:03:09	ga_ls8c_ard_3-0-0_098069_2019-04-28_final
2019-09-08 10:23:19	ga_ls8c_ard_3-1-0_101071_2019-09-08_final
2019-11-22 10:10:03	ga_ls8c_ard_3-1-0_098084_2019-11-22_final
2020-01-16 10:10:30	ga_ls8c_ard_3-1-0_099070_2020-01-16_final
2020-03-01 11:18:16	ga_ls8c_ard_3-1-0_110070_2020-03-01_final
2020-04-23 09:57:30	ga_ls8c_ard_3-1-0_097070_2020-04-23_final
2020-05-05 10:26:54	ga_ls8c_ard_3-1-0_101082_2020-05-05_final
2020-05-27 11:23:57	ga_ls8c_ard_3-1-0_111070_2020-05-27_final
2020-06-07 11:05:31	ga_ls8c_ard_3-1-0_108070_2020-06-07_final
2020-06-17 10:07:00	ga_ls8c_ard_3-1-0_098078_2020-06-17_final
2020-07-07 11:19:44	ga_ls8c_ard_3-1-0_110074_2020-07-07_final
2020-08-04 10:07:18	ga_ls8c_ard_3-1-0_098078_2020-08-04_final
2020-10-20 11:14:28	ga_ls8c_ard_3-1-0_109075_2020-10-20_final
2021-02-02 11:05:41	ga_ls8c_ard_3-2-0_108069_2021-02-02_final
2021-03-15 11:00:01	ga_ls8c_ard_3-2-0_107071_2021-03-15_final
2021-03-16 10:03:35	ga_ls8c_ard_3-2-0_098069_2021-03-16_final
2021-04-09 09:17:14	ga_ls8c_ard_3-2-0_090077_2021-04-08_final
2021-04-19 11:31:55	ga_ls8c_ard_3-2-0_112074_2021-04-19_final
2021-05-17 11:57:47	ga_ls8c_ard_3-2-0_116077_2021-05-17_final
2021-06-07 10:39:13	ga_ls8c_ard_3-2-0_103081_2021-06-07_final
2021-06-15 11:25:55	ga_ls8c_ard_3-2-0_111074_2021-06-15_final
2021-07-23 09:14:05	ga_ls8c_ard_3-2-0_089084_2021-07-22_final
2021-07-29 10:13:57	ga_ls8c_ard_3-2-0_099079_2021-07-29_final
2021-08-03 10:33:20	ga_ls8c_ard_3-2-0_102081_2021-08-03_final
2021-08-31 10:53:01	ga_ls8c_ard_3-2-0_106068_2021-08-31_final
2021-09-10 11:30:56	ga_ls8c_ard_3-2-0_112070_2021-09-10_final
2021-09-13 10:26:09	ga_ls8c_ard_3-2-0_101078_2021-09-13_final
2021-10-01 10:10:41	ga_ls8c_ard_3-2-0_099070_2021-10-01_final
2021-11-01 11:11:34	ga_ls8c_ard_3-2-0_108083_2021-11-01_final
2021-11-12 09:14:05	ga_ls8c_ard_3-2-0_089083_2021-11-11_final
2021-11-18 10:10:39	ga_ls8c_ard_3-2-0_099070_2021-11-18_final
2021-11-28 09:14:04	ga_ls8c_ard_3-2-0_089083_2021-11-27_final
2022-01-26 10:29:49	ga_ls8c_ard_3-2-1_102072_2022-01-26_final
2022-02-07 10:53:19	ga_ls8c_ard_3-2-1_106069_2022-02-07_final
2022-02-16 09:12:11	ga_ls8c_ard_3-2-1_089079_2022-02-15_final
2022-02-23 10:53:13	ga_ls8c_ard_3-2-1_106069_2022-02-23_final
2022-02-28 09:40:03	ga_ls8c_ard_3-2-1_093087_2022-02-28_final
2022-03-18 09:22:47	ga_ls8c_ard_3-2-1_091075_2022-03-17_final
2022-04-11 10:14:08	ga_ls8c_ard_3-2-1_099080_2022-04-11_final
2022-04-26 09:31:14	ga_ls8c_ard_3-2-1_092081_2022-04-26_final
2022-05-13 10:09:03	ga_ls8c_ard_3-2-1_099067_2022-05-13_final
2022-06-11 11:18:50	ga_ls8c_ard_3-2-1_110071_2022-06-11_final
2022-06-30 10:14:10	ga_ls8c_ard_3-2-1_099079_2022-06-30_final
2022-07-04 09:52:14	ga_ls8c_ard_3-2-1_095086_2022-07-04_final
2022-07-16 11:51:26	ga_ls8c_ard_3-2-1_115075_2022-07-16_final
2022-07-17 10:55:49	ga_ls8c_ard_3-2-1_106075_2022-07-17_final
2022-07-31 09:33:28	ga_ls8c_ard_3-2-1_092085_2022-07-31_final
2022-08-25 09:22:37	ga_ls8c_ard_3-2-1_091073_2022-08-24_final
2022-10-20 10:10:06	ga_ls8c_ard_3-2-1_099068_2022-10-20_final
2022-12-24 09:17:53	ga_ls8c_ard_3-2-1_090077_2022-12-23_final
2022-12-27 11:24:06	ga_ls8c_ard_3-2-1_111068_2022-12-27_final
2023-02-02 10:07:19	ga_ls8c_ard_3-2-1_098077_2023-02-02_final
2023-03-29 10:09:20	ga_ls8c_ard_3-2-1_099068_2023-03-29_final
2023-06-25 09:27:11	ga_ls8c_ard_3-2-1_091087_2023-06-24_final
2023-06-27 10:48:57	ga_ls8c_ard_3-2-1_105075_2023-06-27_final
2024-01-27 11:52:24	ga_ls8c_ard_3-2-1_115078_2024-01-27_final
2024-02-25 11:18:21	ga_ls8c_ard_3-2-1_110070_2024-02-25_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