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
2013-03-26 11:17:27	ga_ls8c_ard_3-0-0_109081_2013-03-26_final
2013-09-22 11:21:01	ga_ls8c_ard_3-0-0_110072_2013-09-22_final
2013-11-20 09:28:54	ga_ls8c_ard_3-0-0_091086_2013-11-19_final
2014-01-21 11:14:04	ga_ls8c_ard_3-0-0_109072_2014-01-21_final
2014-02-28 10:34:55	ga_ls8c_ard_3-0-0_103068_2014-02-28_final
2014-03-20 10:10:45	ga_ls8c_ard_3-0-0_099070_2014-03-20_final
2014-04-03 10:25:17	ga_ls8c_ard_3-0-0_101076_2014-04-03_final
2014-05-08 10:54:48	ga_ls8c_ard_3-0-0_106074_2014-05-08_final
2014-05-17 10:48:56	ga_ls8c_ard_3-0-0_105075_2014-05-17_final
2014-05-31 09:21:40	ga_ls8c_ard_3-0-0_091073_2014-05-30_final
2014-07-07 09:45:38	ga_ls8c_ard_3-0-0_094086_2014-07-07_final
2014-07-23 11:19:23	ga_ls8c_ard_3-0-0_110073_2014-07-23_final
2015-01-10 11:03:25	ga_ls8c_ard_3-0-0_107079_2015-01-10_final
2015-06-13 09:56:26	ga_ls8c_ard_3-0-0_097068_2015-06-13_final
2015-06-20 11:41:09	ga_ls8c_ard_3-0-0_114067_2015-06-20_final
2015-09-14 11:07:52	ga_ls8c_ard_3-0-0_108075_2015-09-14_final
2015-09-28 11:17:55	ga_ls8c_ard_3-0-0_110069_2015-09-28_final
2015-10-05 11:25:18	ga_ls8c_ard_3-0-0_111072_2015-10-05_final
2015-11-08 09:34:09	ga_ls8c_ard_3-0-0_093072_2015-11-08_final
2016-03-15 09:34:40	ga_ls8c_ard_3-0-0_093074_2016-03-15_final
2016-03-20 11:32:03	ga_ls8c_ard_3-0-0_112074_2016-03-20_final
2016-03-27 09:57:41	ga_ls8c_ard_3-0-0_097070_2016-03-27_final
2016-04-26 10:10:39	ga_ls8c_ard_3-0-0_099072_2016-04-26_final
2016-05-16 09:43:58	ga_ls8c_ard_3-0-0_095067_2016-05-16_final
2016-05-25 11:22:43	ga_ls8c_ard_3-0-0_110082_2016-05-25_final
2016-10-03 10:09:47	ga_ls8c_ard_3-0-0_099068_2016-10-03_final
2016-10-24 10:29:37	ga_ls8c_ard_3-0-0_102071_2016-10-24_final
2016-12-25 10:43:27	ga_ls8c_ard_3-0-0_104075_2016-12-25_final
2017-03-13 10:52:32	ga_ls8c_ard_3-0-0_106068_2017-03-13_final
2017-04-12 09:33:44	ga_ls8c_ard_3-0-0_092088_2017-04-12_final
2017-05-03 11:24:10	ga_ls8c_ard_3-0-0_111071_2017-05-03_final
2017-05-25 10:48:56	ga_ls8c_ard_3-0-0_105075_2017-05-25_final
2017-05-31 10:08:43	ga_ls8c_ard_3-0-0_099067_2017-05-31_final
2017-06-20 11:26:37	ga_ls8c_ard_3-0-0_111076_2017-06-20_final
2017-07-01 11:08:07	ga_ls8c_ard_3-0-0_108076_2017-07-01_final
2017-08-23 11:24:34	ga_ls8c_ard_3-0-0_111070_2017-08-23_final
2017-12-24 09:32:51	ga_ls8c_ard_3-0-0_092084_2017-12-24_final
2018-03-30 09:33:19	ga_ls8c_ard_3-0-0_092087_2018-03-30_final
2018-04-14 10:26:00	ga_ls8c_ard_3-0-0_101080_2018-04-14_final
2018-05-20 11:36:36	ga_ls8c_ard_3-0-0_113072_2018-05-20_final
2018-06-07 09:50:47	ga_ls8c_ard_3-0-0_095086_2018-06-07_final
2018-07-26 10:30:06	ga_ls8c_ard_3-0-0_102075_2018-07-26_final
2018-09-22 09:25:55	ga_ls8c_ard_3-0-0_092068_2018-09-21_final
2019-01-01 11:25:10	ga_ls8c_ard_3-0-0_111072_2019-01-01_final
2019-01-23 10:49:12	ga_ls8c_ard_3-0-0_105075_2019-01-23_final
2019-02-22 11:01:05	ga_ls8c_ard_3-0-0_107074_2019-02-22_final
2019-04-23 11:23:30	ga_ls8c_ard_3-0-0_111069_2019-04-23_final
2019-06-23 10:52:39	ga_ls8c_ard_3-1-0_106068_2019-06-23_final
2019-07-29 10:30:30	ga_ls8c_ard_3-1-0_102074_2019-07-29_final
2019-08-29 11:24:17	ga_ls8c_ard_3-1-0_111069_2019-08-29_final
2019-11-28 11:11:27	ga_ls8c_ard_3-1-0_108083_2019-11-28_final
2020-01-06 09:34:15	ga_ls8c_ard_3-1-0_093072_2020-01-06_final
2020-01-31 11:07:38	ga_ls8c_ard_3-1-0_108074_2020-01-31_final
2020-02-02 10:53:16	ga_ls8c_ard_3-1-0_106069_2020-02-02_final
2020-04-07 11:37:18	ga_ls8c_ard_3-1-0_113072_2020-04-07_final
2020-04-08 10:42:28	ga_ls8c_ard_3-1-0_104074_2020-04-08_final
2020-04-26 10:28:23	ga_ls8c_ard_3-1-0_102070_2020-04-26_final
2020-06-15 10:19:44	ga_ls8c_ard_3-1-0_100079_2020-06-15_final
2020-07-01 10:17:53	ga_ls8c_ard_3-1-0_100074_2020-07-01_final
2020-07-25 09:31:22	ga_ls8c_ard_3-1-0_092081_2020-07-25_final
2020-08-24 11:17:12	ga_ls8c_ard_3-1-0_110067_2020-08-24_final
2020-08-25 10:27:58	ga_ls8c_ard_3-1-0_101083_2020-08-25_final
2020-09-20 09:23:33	ga_ls8c_ard_3-1-0_091076_2020-09-19_final
2020-12-14 11:19:51	ga_ls8c_ard_3-1-0_110073_2020-12-14_final
2021-01-09 10:17:08	ga_ls8c_ard_3-2-0_100071_2021-01-09_final
2021-01-19 10:55:43	ga_ls8c_ard_3-2-0_106075_2021-01-19_final
2021-03-02 11:36:14	ga_ls8c_ard_3-2-0_112084_2021-03-02_final
2021-04-08 10:12:51	ga_ls8c_ard_3-2-0_099077_2021-04-08_final
2021-07-10 11:17:49	ga_ls8c_ard_3-2-0_110069_2021-07-10_final
2021-11-17 09:26:12	ga_ls8c_ard_3-2-0_092067_2021-11-16_final
2021-12-12 09:25:14	ga_ls8c_ard_3-2-1_091080_2021-12-11_final
2021-12-15 09:58:31	ga_ls8c_ard_3-2-1_096086_2021-12-15_final
2022-01-14 10:03:11	ga_ls8c_ard_3-2-1_098067_2022-01-14_final
2022-02-10 11:24:36	ga_ls8c_ard_3-2-1_111070_2022-02-10_final
2022-03-03 10:03:46	ga_ls8c_ard_3-2-1_098069_2022-03-03_final
2022-03-26 11:51:24	ga_ls8c_ard_3-2-1_115076_2022-03-26_final
2022-05-10 09:44:06	ga_ls8c_ard_3-2-1_094082_2022-05-10_final
2022-06-08 10:49:06	ga_ls8c_ard_3-2-1_105074_2022-06-08_final
2022-06-13 09:33:36	ga_ls8c_ard_3-2-1_092086_2022-06-13_final
2022-07-25 10:04:54	ga_ls8c_ard_3-2-1_098071_2022-07-25_final
2022-08-09 09:22:10	ga_ls8c_ard_3-2-1_091072_2022-08-08_final
2022-08-19 11:38:11	ga_ls8c_ard_3-2-1_113072_2022-08-19_final
2022-08-24 10:22:38	ga_ls8c_ard_3-2-1_100084_2022-08-24_final
2022-09-03 09:20:49	ga_ls8c_ard_3-2-1_090084_2022-09-02_final
2022-10-13 11:46:43	ga_ls8c_ard_3-2-1_114078_2022-10-13_final
2022-11-01 10:36:29	ga_ls8c_ard_3-2-1_103072_2022-11-01_final
2023-02-10 10:55:31	ga_ls8c_ard_3-2-1_106074_2023-02-10_final
2023-04-15 10:53:56	ga_ls8c_ard_3-2-1_106072_2023-04-15_final
2023-05-05 10:30:17	ga_ls8c_ard_3-2-1_102075_2023-05-05_final
2023-05-26 09:09:50	ga_ls8c_ard_3-2-1_089075_2023-05-25_final
2023-06-02 10:55:17	ga_ls8c_ard_3-2-1_106076_2023-06-02_final
2023-06-11 09:09:33	ga_ls8c_ard_3-2-1_089074_2023-06-10_final
2023-06-21 11:25:33	ga_ls8c_ard_3-2-1_111074_2023-06-21_final
2023-07-19 10:10:02	ga_ls8c_ard_3-2-1_099070_2023-07-19_final
2023-08-12 11:00:02	ga_ls8c_ard_3-2-1_107071_2023-08-12_final
2023-09-05 11:52:46	ga_ls8c_ard_3-2-1_115079_2023-09-05_final
2023-09-18 09:45:29	ga_ls8c_ard_3-2-1_094085_2023-09-18_final
2023-09-22 10:52:51	ga_ls8c_ard_3-2-1_106068_2023-09-22_final
2023-11-14 11:13:54	ga_ls8c_ard_3-2-1_109074_2023-11-14_final
2023-12-02 11:00:21	ga_ls8c_ard_3-2-1_107071_2023-12-02_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