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
2013-08-11 10:48:02	ga_ls8c_ard_3-0-0_104082_2013-08-11_final
2014-03-13 11:47:33	ga_ls8c_ard_3-0-0_114080_2014-03-13_final
2014-04-18 11:17:50	ga_ls8c_ard_3-0-0_110069_2014-04-18_final
2014-05-07 10:09:57	ga_ls8c_ard_3-0-0_099070_2014-05-07_final
2014-06-08 11:50:52	ga_ls8c_ard_3-0-0_115075_2014-06-08_final
2014-07-27 09:17:24	ga_ls8c_ard_3-0-0_090077_2014-07-26_final
2014-08-11 11:52:27	ga_ls8c_ard_3-0-0_115078_2014-08-11_final
2014-09-26 10:27:34	ga_ls8c_ard_3-0-0_101082_2014-09-26_final
2014-12-17 11:52:55	ga_ls8c_ard_3-0-0_115079_2014-12-17_final
2015-02-03 10:11:04	ga_ls8c_ard_3-0-0_099072_2015-02-03_final
2015-05-01 10:18:32	ga_ls8c_ard_3-0-0_100077_2015-05-01_final
2015-05-14 11:25:06	ga_ls8c_ard_3-0-0_111074_2015-05-14_final
2015-05-26 10:14:59	ga_ls8c_ard_3-0-0_099084_2015-05-26_final
2015-06-18 11:57:53	ga_ls8c_ard_3-0-0_116078_2015-06-18_final
2015-07-29 10:10:44	ga_ls8c_ard_3-0-0_099072_2015-07-29_final
2015-09-12 09:39:44	ga_ls8c_ard_3-0-0_094071_2015-09-12_final
2015-11-02 10:16:02	ga_ls8c_ard_3-0-0_099084_2015-11-02_final
2015-12-31 09:51:54	ga_ls8c_ard_3-0-0_096070_2015-12-31_final
2016-02-23 09:17:23	ga_ls8c_ard_3-0-0_090077_2016-02-22_final
2016-03-19 09:11:07	ga_ls8c_ard_3-0-0_089077_2016-03-18_final
2016-04-01 10:18:09	ga_ls8c_ard_3-0-0_100075_2016-04-01_final
2016-04-21 11:31:48	ga_ls8c_ard_3-0-0_112074_2016-04-21_final
2016-04-27 10:52:20	ga_ls8c_ard_3-0-0_106068_2016-04-27_final
2016-06-19 11:14:15	ga_ls8c_ard_3-0-0_109076_2016-06-19_final
2016-09-14 11:18:08	ga_ls8c_ard_3-0-0_110069_2016-09-14_final
2016-09-21 09:44:39	ga_ls8c_ard_3-0-0_095067_2016-09-21_final
2016-10-15 10:40:10	ga_ls8c_ard_3-0-0_103082_2016-10-15_final
2016-11-21 09:17:02	ga_ls8c_ard_3-0-0_090075_2016-11-20_final
2016-11-29 10:10:04	ga_ls8c_ard_3-0-0_098084_2016-11-29_final
2017-04-06 10:04:05	ga_ls8c_ard_3-0-0_098071_2017-04-06_final
2017-04-18 10:27:30	ga_ls8c_ard_3-0-0_102068_2017-04-18_final
2017-04-22 10:07:31	ga_ls8c_ard_3-0-0_098080_2017-04-22_final
2017-05-26 09:56:55	ga_ls8c_ard_3-0-0_096084_2017-05-26_final
2017-06-04 11:25:19	ga_ls8c_ard_3-0-0_111073_2017-06-04_final
2017-07-14 10:35:39	ga_ls8c_ard_3-0-0_103072_2017-07-14_final
2017-09-29 10:09:57	ga_ls8c_ard_3-0-0_098084_2017-09-29_final
2017-10-01 09:58:24	ga_ls8c_ard_3-0-0_096086_2017-10-01_final
2017-11-22 11:06:09	ga_ls8c_ard_3-0-0_108070_2017-11-22_final
2017-11-27 11:26:15	ga_ls8c_ard_3-0-0_111074_2017-11-27_final
2018-04-09 10:02:44	ga_ls8c_ard_3-0-0_098068_2018-04-09_final
2018-04-25 10:03:22	ga_ls8c_ard_3-0-0_098070_2018-04-25_final
2018-10-02 11:47:10	ga_ls8c_ard_3-0-0_114081_2018-10-02_final
2018-10-11 09:58:11	ga_ls8c_ard_3-0-0_097071_2018-10-11_final
2019-01-19 09:35:28	ga_ls8c_ard_3-0-0_093076_2019-01-19_final
2019-03-24 11:12:06	ga_ls8c_ard_3-1-0_109071_2019-03-24_final
2019-07-22 10:25:27	ga_ls8c_ard_3-1-0_101077_2019-07-22_final
2019-09-05 11:30:53	ga_ls8c_ard_3-1-0_112070_2019-09-05_final
2019-11-22 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-11-22_final
2020-01-17 09:17:40	ga_ls8c_ard_3-1-0_090077_2020-01-16_final
2020-02-19 10:01:10	ga_ls8c_ard_3-1-0_097078_2020-02-19_final
2020-02-21 09:46:25	ga_ls8c_ard_3-1-0_095072_2020-02-21_final
2020-02-26 10:03:44	ga_ls8c_ard_3-1-0_098069_2020-02-26_final
2020-04-02 09:39:30	ga_ls8c_ard_3-1-0_094071_2020-04-02_final
2020-04-25 09:46:19	ga_ls8c_ard_3-1-0_095073_2020-04-25_final
2020-05-24 10:55:02	ga_ls8c_ard_3-1-0_106075_2020-05-24_final
2020-06-04 10:35:23	ga_ls8c_ard_3-1-0_103072_2020-06-04_final
2020-06-08 10:13:53	ga_ls8c_ard_3-1-0_099080_2020-06-08_final
2020-06-16 09:28:31	ga_ls8c_ard_3-1-0_091090_2020-06-15_final
2020-06-17 10:07:48	ga_ls8c_ard_3-1-0_098080_2020-06-17_final
2020-07-11 10:55:50	ga_ls8c_ard_3-1-0_106076_2020-07-11_final
2020-09-22 10:47:17	ga_ls8c_ard_3-1-0_105069_2020-09-22_final
2020-10-10 10:36:11	ga_ls8c_ard_3-1-0_103072_2020-10-10_final
2020-10-15 09:22:37	ga_ls8c_ard_3-1-0_090089_2020-10-14_final
2020-11-20 10:29:11	ga_ls8c_ard_3-1-0_102070_2020-11-20_final
2020-12-07 11:12:29	ga_ls8c_ard_3-1-0_109070_2020-12-07_final
2020-12-18 09:18:38	ga_ls8c_ard_3-2-0_090079_2020-12-17_final
2021-03-08 09:16:37	ga_ls8c_ard_3-2-0_090075_2021-03-07_final
2021-04-12 09:45:19	ga_ls8c_ard_3-2-0_095070_2021-04-12_final
2021-04-12 11:27:48	ga_ls8c_ard_3-2-0_111079_2021-04-12_final
2021-05-18 11:02:11	ga_ls8c_ard_3-2-0_107077_2021-05-18_final
2021-05-26 10:13:37	ga_ls8c_ard_3-2-0_099079_2021-05-26_final
2021-08-04 09:40:06	ga_ls8c_ard_3-2-0_093087_2021-08-04_final
2021-09-22 11:57:41	ga_ls8c_ard_3-2-0_116075_2021-09-22_final
2021-11-15 11:17:28	ga_ls8c_ard_3-2-0_110067_2021-11-15_final
2021-12-17 11:24:14	ga_ls8c_ard_3-2-1_110084_2021-12-17_final
2021-12-23 09:07:03	ga_ls8c_ard_3-2-1_088081_2021-12-22_final
2022-01-14 10:06:46	ga_ls8c_ard_3-2-1_098076_2022-01-14_final
2022-01-31 09:11:51	ga_ls8c_ard_3-2-1_089078_2022-01-30_final
2022-04-21 09:12:44	ga_ls8c_ard_3-2-1_089081_2022-04-20_final
2022-06-03 10:31:41	ga_ls8c_ard_3-2-1_102077_2022-06-03_final
2022-06-08 10:49:06	ga_ls8c_ard_3-2-1_105074_2022-06-08_final
2022-06-15 10:55:45	ga_ls8c_ard_3-2-1_106075_2022-06-15_final
2022-07-25 10:07:41	ga_ls8c_ard_3-2-1_098078_2022-07-25_final
2022-09-18 10:09:46	ga_ls8c_ard_3-2-1_099067_2022-09-18_final
2022-12-04 09:41:35	ga_ls8c_ard_3-2-1_094074_2022-12-04_final
2023-02-01 11:00:09	ga_ls8c_ard_3-2-1_107070_2023-02-01_final
2023-02-15 11:17:59	ga_ls8c_ard_3-2-1_109084_2023-02-15_final
2023-03-10 09:41:24	ga_ls8c_ard_3-2-1_094075_2023-03-10_final
2023-03-19 09:39:33	ga_ls8c_ard_3-2-1_093086_2023-03-19_final
2023-03-31 11:41:02	ga_ls8c_ard_3-2-1_113081_2023-03-31_final
2023-06-10 10:09:09	ga_ls8c_ard_3-2-1_098084_2023-06-10_final
2023-06-24 10:21:35	ga_ls8c_ard_3-2-1_100084_2023-06-24_final
2023-07-29 10:49:37	ga_ls8c_ard_3-2-1_105076_2023-07-29_final
2023-08-17 11:19:03	ga_ls8c_ard_3-2-1_110072_2023-08-17_final
2023-08-31 11:32:16	ga_ls8c_ard_3-2-1_112074_2023-08-31_final
2023-09-22 10:52:27	ga_ls8c_ard_3-2-1_106067_2023-09-22_final
2023-10-07 10:13:39	ga_ls8c_ard_3-2-1_099078_2023-10-07_final
2023-11-01 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-11-01_final
2023-12-18 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-12-17_final
2024-01-02 10:17:25	ga_ls8c_ard_3-2-1_100072_2024-01-02_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years