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
2013-04-08 09:44:52	ga_ls8c_ard_3-0-0_094073_2013-04-08_final
2013-04-20 11:43:26	ga_ls8c_ard_3-0-0_113082_2013-04-20_final
2013-05-26 09:34:06	ga_ls8c_ard_3-0-0_093067_2013-05-26_final
2013-06-30 11:43:48	ga_ls8c_ard_3-0-0_114067_2013-06-30_final
2013-11-07 11:33:13	ga_ls8c_ard_3-0-0_112072_2013-11-07_final
2014-03-05 10:53:22	ga_ls8c_ard_3-0-0_106068_2014-03-05_final
2014-03-20 10:10:22	ga_ls8c_ard_3-0-0_099069_2014-03-20_final
2014-04-09 11:25:48	ga_ls8c_ard_3-0-0_111073_2014-04-09_final
2014-06-29 10:28:36	ga_ls8c_ard_3-0-0_102070_2014-06-29_final
2014-07-03 10:06:44	ga_ls8c_ard_3-0-0_098077_2014-07-03_final
2014-07-14 11:29:33	ga_ls8c_ard_3-0-0_111083_2014-07-14_final
2014-08-06 09:52:12	ga_ls8c_ard_3-0-0_096071_2014-08-06_final
2014-08-13 11:37:42	ga_ls8c_ard_3-0-0_113072_2014-08-13_final
2014-11-09 10:47:15	ga_ls8c_ard_3-0-0_105069_2014-11-09_final
2015-01-22 11:25:15	ga_ls8c_ard_3-0-0_111072_2015-01-22_final
2015-02-03 10:09:28	ga_ls8c_ard_3-0-0_099068_2015-02-03_final
2015-02-03 11:52:21	ga_ls8c_ard_3-0-0_115078_2015-02-03_final
2015-03-19 10:39:25	ga_ls8c_ard_3-0-0_103082_2015-03-19_final
2015-03-24 10:57:55	ga_ls8c_ard_3-0-0_106082_2015-03-24_final
2015-04-01 10:05:57	ga_ls8c_ard_3-0-0_098076_2015-04-01_final
2015-04-06 10:24:51	ga_ls8c_ard_3-0-0_101077_2015-04-06_final
2015-05-14 09:49:48	ga_ls8c_ard_3-0-0_095083_2015-05-14_final
2015-05-21 09:57:13	ga_ls8c_ard_3-0-0_096086_2015-05-21_final
2015-08-09 09:57:01	ga_ls8c_ard_3-0-0_096084_2015-08-09_final
2015-08-12 10:27:09	ga_ls8c_ard_3-0-0_101082_2015-08-12_final
2015-09-15 10:12:39	ga_ls8c_ard_3-1-0_099076_2015-09-15_final
2015-11-13 11:29:34	ga_ls8c_ard_3-0-0_112067_2015-11-13_final
2015-12-12 10:59:53	ga_ls8c_ard_3-0-0_107070_2015-12-12_final
2016-02-24 11:37:33	ga_ls8c_ard_3-0-0_113072_2016-02-24_final
2016-03-31 09:33:42	ga_ls8c_ard_3-0-0_093072_2016-03-31_final
2016-04-05 11:29:07	ga_ls8c_ard_3-0-0_112067_2016-04-05_final
2016-04-23 11:19:25	ga_ls8c_ard_3-0-0_110074_2016-04-23_final
2016-05-26 10:25:07	ga_ls8c_ard_3-0-0_101077_2016-05-26_final
2016-08-25 10:03:29	ga_ls8c_ard_3-0-0_098068_2016-08-25_final
2016-08-27 11:32:25	ga_ls8c_ard_3-0-0_112074_2016-08-27_final
2016-10-15 10:36:10	ga_ls8c_ard_3-0-0_103072_2016-10-15_final
2016-10-27 09:24:02	ga_ls8c_ard_3-0-0_091077_2016-10-26_final
2016-12-14 12:37:44	ga_ls8c_ard_3-2-1_123067_2016-12-14_final
2017-02-07 09:33:50	ga_ls8c_ard_3-0-0_092087_2017-02-07_final
2017-03-13 10:58:07	ga_ls8c_ard_3-0-0_106082_2017-03-13_final
2017-05-07 09:27:00	ga_ls8c_ard_3-0-0_091087_2017-05-06_final
2017-05-22 10:16:25	ga_ls8c_ard_3-0-0_100071_2017-05-22_final
2017-05-24 10:06:52	ga_ls8c_ard_3-0-0_098078_2017-05-24_final
2017-08-25 09:34:32	ga_ls8c_ard_3-0-0_093073_2017-08-25_final
2017-09-14 10:49:06	ga_ls8c_ard_3-0-0_105074_2017-09-14_final
2017-09-22 09:56:56	ga_ls8c_ard_3-0-0_097067_2017-09-22_final
2017-11-13 09:32:18	ga_ls8c_ard_3-0-0_093067_2017-11-13_final
2017-12-20 09:55:58	ga_ls8c_ard_3-0-0_096080_2017-12-20_final
2018-02-01 11:12:24	ga_ls8c_ard_3-0-0_109071_2018-02-01_final
2018-04-13 09:39:34	ga_ls8c_ard_3-0-0_094072_2018-04-13_final
2018-06-10 11:56:37	ga_ls8c_ard_3-0-0_116076_2018-06-10_final
2018-06-25 09:33:02	ga_ls8c_ard_3-0-0_093072_2018-06-25_final
2018-07-18 11:17:30	ga_ls8c_ard_3-0-0_110070_2018-07-18_final
2018-11-02 09:23:36	ga_ls8c_ard_3-0-0_091077_2018-11-01_final
2018-11-05 11:30:36	ga_ls8c_ard_3-0-0_112070_2018-11-05_final
2019-01-11 10:22:56	ga_ls8c_ard_3-0-0_101071_2019-01-11_final
2019-01-19 09:34:16	ga_ls8c_ard_3-0-0_093073_2019-01-19_final
2019-03-08 09:35:17	ga_ls8c_ard_3-1-0_093076_2019-03-08_final
2019-05-17 10:35:02	ga_ls8c_ard_3-0-0_103071_2019-05-17_final
2019-06-19 11:17:45	ga_ls8c_ard_3-1-0_110069_2019-06-19_final
2019-09-24 10:23:25	ga_ls8c_ard_3-1-0_101071_2019-09-24_final
2019-09-26 10:14:15	ga_ls8c_ard_3-1-0_099079_2019-09-26_final
2019-10-18 11:14:55	ga_ls8c_ard_3-1-0_109076_2019-10-18_final
2019-10-20 11:00:10	ga_ls8c_ard_3-1-0_107070_2019-10-20_final
2019-11-19 11:14:03	ga_ls8c_ard_3-1-0_109074_2019-11-19_final
2019-11-20 11:58:54	ga_ls8c_ard_3-1-0_116078_2019-11-20_final
2019-12-31 11:53:02	ga_ls8c_ard_3-1-0_115079_2019-12-31_final
2020-02-07 11:13:47	ga_ls8c_ard_3-1-0_109074_2020-02-07_final
2020-02-10 10:05:00	ga_ls8c_ard_3-1-0_098072_2020-02-10_final
2020-03-30 10:49:07	ga_ls8c_ard_3-1-0_105075_2020-03-30_final
2020-04-07 11:37:18	ga_ls8c_ard_3-1-0_113072_2020-04-07_final
2020-07-11 10:53:02	ga_ls8c_ard_3-1-0_106069_2020-07-11_final
2020-09-08 10:36:03	ga_ls8c_ard_3-1-0_103072_2020-09-08_final
2021-05-02 09:22:01	ga_ls8c_ard_3-2-0_091074_2021-05-01_final
2021-05-26 10:09:13	ga_ls8c_ard_3-2-0_099068_2021-05-26_final
2021-09-07 09:22:20	ga_ls8c_ard_3-2-0_091073_2021-09-06_final
2021-12-20 10:09:27	ga_ls8c_ard_3-2-1_099067_2021-12-20_final
2021-12-25 10:29:10	ga_ls8c_ard_3-2-1_102070_2021-12-25_final
2022-01-01 10:36:05	ga_ls8c_ard_3-2-1_103072_2022-01-01_final
2022-05-05 09:27:06	ga_ls8c_ard_3-2-1_091086_2022-05-04_final
2022-08-09 11:03:51	ga_ls8c_ard_3-2-1_107079_2022-08-09_final
2022-08-25 11:01:30	ga_ls8c_ard_3-2-1_107073_2022-08-25_final
2022-12-31 09:28:29	ga_ls8c_ard_3-2-1_091088_2022-12-30_final
2023-02-15 09:39:30	ga_ls8c_ard_3-2-1_093085_2023-02-15_final
2023-02-28 09:07:11	ga_ls8c_ard_3-2-1_088082_2023-02-27_final
2023-03-17 11:26:02	ga_ls8c_ard_3-2-1_111074_2023-03-17_final
2023-03-20 10:21:36	ga_ls8c_ard_3-2-1_100083_2023-03-20_final
2023-03-21 09:21:58	ga_ls8c_ard_3-2-1_091073_2023-03-20_final
2023-03-22 10:07:12	ga_ls8c_ard_3-2-1_098078_2023-03-22_final
2023-05-17 09:15:57	ga_ls8c_ard_3-2-1_090075_2023-05-16_final
2023-06-17 10:13:47	ga_ls8c_ard_3-2-1_099080_2023-06-17_final
2023-07-02 09:32:40	ga_ls8c_ard_3-2-1_092085_2023-07-02_final
2023-07-07 09:51:40	ga_ls8c_ard_3-2-1_095086_2023-07-07_final
2023-08-05 09:17:21	ga_ls8c_ard_3-2-1_090077_2023-08-04_final
2023-08-21 10:55:34	ga_ls8c_ard_3-2-1_106075_2023-08-21_final
2023-08-22 10:00:44	ga_ls8c_ard_3-2-1_097077_2023-08-22_final
2023-09-22 10:52:51	ga_ls8c_ard_3-2-1_106068_2023-09-22_final
2023-10-13 11:15:05	ga_ls8c_ard_3-2-1_109077_2023-10-13_final
2023-12-07 11:18:24	ga_ls8c_ard_3-2-1_110070_2023-12-07_final
2024-02-29 09:17:05	ga_ls8c_ard_3-2-1_090076_2024-02-28_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