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
2013-12-06 11:01:47	ga_ls8c_ard_3-0-0_107071_2013-12-06_final
2013-12-11 11:19:54	ga_ls8c_ard_3-0-0_110070_2013-12-11_final
2013-12-17 10:45:08	ga_ls8c_ard_3-0-0_104076_2013-12-17_final
2014-01-20 10:29:13	ga_ls8c_ard_3-0-0_102068_2014-01-20_final
2014-01-27 10:40:33	ga_ls8c_ard_3-0-0_103081_2014-01-27_final
2014-02-12 10:40:18	ga_ls8c_ard_3-0-0_103081_2014-02-12_final
2014-03-01 11:18:57	ga_ls8c_ard_3-0-0_110070_2014-03-01_final
2014-08-20 11:41:55	ga_ls8c_ard_3-0-0_114067_2014-08-20_final
2014-08-31 11:24:11	ga_ls8c_ard_3-0-0_111069_2014-08-31_final
2014-11-26 11:29:40	ga_ls8c_ard_3-0-0_112067_2014-11-26_final
2015-04-09 10:58:09	ga_ls8c_ard_3-0-0_106083_2015-04-09_final
2015-04-28 11:22:34	ga_ls8c_ard_3-0-0_111067_2015-04-28_final
2015-11-06 11:30:11	ga_ls8c_ard_3-0-0_111084_2015-11-06_final
2015-12-16 10:34:23	ga_ls8c_ard_3-0-0_103068_2015-12-16_final
2016-04-01 11:57:02	ga_ls8c_ard_3-0-0_116075_2016-04-01_final
2016-04-28 11:42:00	ga_ls8c_ard_3-0-0_113084_2016-04-28_final
2016-06-15 11:37:21	ga_ls8c_ard_3-0-0_113072_2016-06-15_final
2016-09-12 11:29:42	ga_ls8c_ard_3-0-0_112067_2016-09-12_final
2016-09-23 11:11:58	ga_ls8c_ard_3-0-0_109069_2016-09-23_final
2016-09-26 11:47:39	ga_ls8c_ard_3-0-0_114081_2016-09-26_final
2016-12-03 11:18:38	ga_ls8c_ard_3-0-0_110070_2016-12-03_final
2016-12-29 11:58:01	ga_ls8c_ard_3-0-0_116076_2016-12-29_final
2017-01-06 11:08:08	ga_ls8c_ard_3-0-0_108075_2017-01-06_final
2017-03-02 11:11:35	ga_ls8c_ard_3-0-0_109069_2017-03-02_final
2017-03-19 11:58:16	ga_ls8c_ard_3-0-0_116078_2017-03-19_final
2017-04-24 11:28:50	ga_ls8c_ard_3-0-0_112067_2017-04-24_final
2017-08-26 11:57:29	ga_ls8c_ard_3-0-0_116075_2017-08-26_final
2017-08-26 11:57:53	ga_ls8c_ard_3-0-0_116076_2017-08-26_final
2017-11-13 11:11:59	ga_ls8c_ard_3-0-0_109069_2017-11-13_final
2017-12-14 10:33:25	ga_ls8c_ard_3-0-0_102081_2017-12-14_final
2018-05-02 11:52:21	ga_ls8c_ard_3-0-0_115080_2018-05-02_final
2018-10-07 10:22:28	ga_ls8c_ard_3-0-0_101070_2018-10-07_final
2018-11-27 10:52:19	ga_ls8c_ard_3-0-0_106067_2018-11-27_final
2018-12-19 11:57:39	ga_ls8c_ard_3-0-0_116076_2018-12-19_final
2019-02-01 10:45:47	ga_ls8c_ard_3-0-0_104082_2019-02-01_final
2019-02-25 11:29:34	ga_ls8c_ard_3-0-0_112068_2019-02-25_final
2019-04-17 10:22:08	ga_ls8c_ard_3-1-0_101070_2019-04-17_final
2019-05-09 11:22:48	ga_ls8c_ard_3-0-0_111067_2019-05-09_final
2019-09-01 11:57:59	ga_ls8c_ard_3-1-0_116076_2019-09-01_final
2020-01-17 10:58:57	ga_ls8c_ard_3-1-0_106083_2020-01-17_final
2020-02-05 11:25:21	ga_ls8c_ard_3-1-0_111072_2020-02-05_final
2020-02-29 10:39:24	ga_ls8c_ard_3-1-0_103081_2020-02-29_final
2020-03-27 11:57:08	ga_ls8c_ard_3-1-0_116075_2020-03-27_final
2020-04-12 11:57:24	ga_ls8c_ard_3-1-0_116076_2020-04-12_final
2020-06-03 11:29:00	ga_ls8c_ard_3-1-0_112067_2020-06-03_final
2020-06-12 11:22:55	ga_ls8c_ard_3-1-0_111067_2020-06-12_final
2020-07-07 11:17:44	ga_ls8c_ard_3-1-0_110069_2020-07-07_final
2020-07-23 11:20:13	ga_ls8c_ard_3-1-0_110075_2020-07-23_final
2020-08-21 09:10:11	ga_ls8c_ard_3-1-0_089074_2020-08-20_final
2020-09-10 10:22:54	ga_ls8c_ard_3-1-0_101070_2020-09-10_final
2020-10-24 10:52:56	ga_ls8c_ard_3-1-0_105083_2020-10-24_final
2020-11-12 11:18:35	ga_ls8c_ard_3-1-0_110070_2020-11-12_final
2020-11-19 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-11-19_final
2020-11-24 11:42:10	ga_ls8c_ard_3-1-0_114067_2020-11-24_final
2020-12-01 11:53:09	ga_ls8c_ard_3-1-0_115079_2020-12-01_final
2020-12-23 09:34:22	ga_ls8c_ard_3-2-0_093072_2020-12-23_final
2021-02-19 10:09:11	ga_ls8c_ard_3-2-0_099067_2021-02-19_final
2021-02-27 09:23:41	ga_ls8c_ard_3-2-0_091077_2021-02-26_final
2021-03-08 09:21:01	ga_ls8c_ard_3-2-0_090086_2021-03-07_final
2021-03-11 11:23:11	ga_ls8c_ard_3-2-0_111067_2021-03-11_final
2021-04-16 09:19:46	ga_ls8c_ard_3-2-0_091068_2021-04-15_final
2021-04-19 11:29:08	ga_ls8c_ard_3-2-0_112067_2021-04-19_final
2021-04-27 09:06:19	ga_ls8c_ard_3-2-0_088081_2021-04-26_final
2021-05-20 10:52:14	ga_ls8c_ard_3-2-0_105083_2021-05-20_final
2021-05-31 10:33:23	ga_ls8c_ard_3-2-0_102082_2021-05-31_final
2021-06-01 09:33:47	ga_ls8c_ard_3-2-0_093072_2021-06-01_final
2021-06-04 11:41:36	ga_ls8c_ard_3-2-0_114067_2021-06-04_final
2021-06-15 11:23:08	ga_ls8c_ard_3-2-0_111067_2021-06-15_final
2021-07-13 10:15:25	ga_ls8c_ard_3-2-0_099083_2021-07-13_final
2021-07-24 11:29:28	ga_ls8c_ard_3-2-0_112067_2021-07-24_final
2021-08-18 11:23:27	ga_ls8c_ard_3-2-0_111067_2021-08-18_final
2021-08-18 11:24:39	ga_ls8c_ard_3-2-0_111070_2021-08-18_final
2021-09-12 11:18:11	ga_ls8c_ard_3-2-0_110069_2021-09-12_final
2021-09-26 11:31:47	ga_ls8c_ard_3-2-0_112072_2021-09-26_final
2021-11-08 09:32:51	ga_ls8c_ard_3-2-0_093068_2021-11-08_final
2022-03-26 10:16:06	ga_ls8c_ard_3-2-1_099085_2022-03-26_final
2022-05-28 11:08:40	ga_ls8c_ard_3-2-1_108077_2022-05-28_final
2022-09-19 10:58:13	ga_ls8c_ard_3-2-1_106080_2022-09-19_final
2022-10-13 10:08:38	ga_ls8c_ard_3-2-1_098080_2022-10-13_final
2022-11-06 10:59:25	ga_ls8c_ard_3-2-1_106083_2022-11-06_final
2022-11-14 10:10:42	ga_ls8c_ard_3-2-1_098085_2022-11-14_final
2022-11-26 10:28:37	ga_ls8c_ard_3-2-1_102068_2022-11-26_final
2022-12-12 10:33:46	ga_ls8c_ard_3-2-1_102081_2022-12-12_final
2022-12-14 11:57:53	ga_ls8c_ard_3-2-1_116075_2022-12-14_final
2022-12-23 10:14:17	ga_ls8c_ard_3-2-1_099079_2022-12-23_final
2023-02-21 10:39:35	ga_ls8c_ard_3-2-1_103081_2023-02-21_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-06-09 09:21:05	ga_ls8c_ard_3-2-1_091072_2023-06-08_final
2023-06-09 09:25:53	ga_ls8c_ard_3-2-1_091084_2023-06-08_final
2023-06-21 11:25:09	ga_ls8c_ard_3-2-1_111073_2023-06-21_final
2023-07-04 09:22:20	ga_ls8c_ard_3-2-1_090090_2023-07-03_final
2023-07-09 09:39:19	ga_ls8c_ard_3-2-1_093086_2023-07-09_final
2023-08-13 10:09:37	ga_ls8c_ard_3-2-1_098084_2023-08-13_final
2023-09-05 10:08:42	ga_ls8c_ard_3-2-1_099066_2023-09-05_final
2023-09-05 10:16:17	ga_ls8c_ard_3-2-1_099085_2023-09-05_final
2023-10-04 09:39:57	ga_ls8c_ard_3-2-1_094071_2023-10-04_final
2023-11-05 11:24:29	ga_ls8c_ard_3-2-1_110085_2023-11-05_final
2023-11-09 10:58:54	ga_ls8c_ard_3-2-1_106083_2023-11-09_final
2023-11-24 10:10:59	ga_ls8c_ard_3-2-1_099071_2023-11-24_final
2023-12-12 10:03:42	ga_ls8c_ard_3-2-1_097084_2023-12-12_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