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
2013-07-16 10:06:07	ga_ls8c_ard_3-0-0_098070_2013-07-16_final
2013-08-02 10:51:00	ga_ls8c_ard_3-0-0_105074_2013-08-02_final
2013-12-23 10:09:35	ga_ls8c_ard_3-0-0_098080_2013-12-23_final
2014-01-19 09:47:57	ga_ls8c_ard_3-0-0_095073_2014-01-19_final
2014-06-10 11:38:08	ga_ls8c_ard_3-0-0_113074_2014-06-10_final
2014-07-06 10:35:40	ga_ls8c_ard_3-0-0_103072_2014-07-06_final
2014-09-26 10:25:34	ga_ls8c_ard_3-0-0_101077_2014-09-26_final
2014-10-13 11:08:10	ga_ls8c_ard_3-0-0_108075_2014-10-13_final
2014-11-14 09:26:06	ga_ls8c_ard_3-0-0_092067_2014-11-13_final
2014-11-21 09:32:12	ga_ls8c_ard_3-0-0_093067_2014-11-21_final
2015-01-15 11:18:20	ga_ls8c_ard_3-0-0_110070_2015-01-15_final
2015-03-08 10:52:52	ga_ls8c_ard_3-0-0_106069_2015-03-08_final
2015-04-12 11:23:52	ga_ls8c_ard_3-0-0_111070_2015-04-12_final
2015-07-01 11:23:29	ga_ls8c_ard_3-0-0_111069_2015-07-01_final
2015-09-23 09:27:15	ga_ls8c_ard_3-0-0_091086_2015-09-22_final
2016-01-08 10:46:04	ga_ls8c_ard_3-0-0_104082_2016-01-08_final
2016-03-04 11:30:33	ga_ls8c_ard_3-0-0_112070_2016-03-04_final
2016-03-09 10:12:59	ga_ls8c_ard_3-0-0_099077_2016-03-09_final
2016-03-26 10:57:18	ga_ls8c_ard_3-0-0_106080_2016-03-26_final
2016-04-04 10:48:39	ga_ls8c_ard_3-0-0_105074_2016-04-04_final
2016-04-10 11:52:25	ga_ls8c_ard_3-0-0_115079_2016-04-10_final
2016-05-25 11:17:32	ga_ls8c_ard_3-0-0_110069_2016-05-25_final
2016-06-26 11:18:06	ga_ls8c_ard_3-0-0_110070_2016-06-26_final
2016-07-25 10:49:24	ga_ls8c_ard_3-0-0_105075_2016-07-25_final
2016-09-11 10:52:49	ga_ls8c_ard_3-0-0_105083_2016-09-11_final
2016-11-28 09:22:49	ga_ls8c_ard_3-0-0_091074_2016-11-27_final
2016-12-11 10:28:22	ga_ls8c_ard_3-0-0_102068_2016-12-11_final
2016-12-15 10:05:13	ga_ls8c_ard_3-0-0_098072_2016-12-15_final
2017-01-31 09:28:07	ga_ls8c_ard_3-0-0_091088_2017-01-30_final
2017-04-12 09:33:44	ga_ls8c_ard_3-0-0_092088_2017-04-12_final
2017-06-08 09:22:32	ga_ls8c_ard_3-0-0_091075_2017-06-07_final
2017-09-11 10:19:01	ga_ls8c_ard_3-0-0_100076_2017-09-11_final
2017-10-17 11:29:46	ga_ls8c_ard_3-0-0_112067_2017-10-17_final
2017-10-26 09:45:55	ga_ls8c_ard_3-0-0_095070_2017-10-26_final
2017-10-31 10:10:02	ga_ls8c_ard_3-0-0_098084_2017-10-31_final
2018-01-17 11:57:49	ga_ls8c_ard_3-0-0_116076_2018-01-17_final
2018-03-03 11:24:58	ga_ls8c_ard_3-0-0_111072_2018-03-03_final
2018-03-29 10:27:21	ga_ls8c_ard_3-0-0_101083_2018-03-29_final
2018-04-29 09:37:25	ga_ls8c_ard_3-0-0_094067_2018-04-29_final
2018-05-17 11:06:32	ga_ls8c_ard_3-0-0_108074_2018-05-17_final
2018-07-14 10:02:07	ga_ls8c_ard_3-0-0_098067_2018-07-14_final
2018-10-14 10:28:18	ga_ls8c_ard_3-0-0_102069_2018-10-14_final
2018-12-16 11:24:45	ga_ls8c_ard_3-0-0_111071_2018-12-16_final
2019-01-27 10:27:16	ga_ls8c_ard_3-0-0_101082_2019-01-27_final
2019-02-04 11:11:30	ga_ls8c_ard_3-0-0_109069_2019-02-04_final
2019-02-12 10:27:13	ga_ls8c_ard_3-0-0_101082_2019-02-12_final
2019-03-02 10:15:35	ga_ls8c_ard_3-0-0_099084_2019-03-02_final
2019-03-03 10:52:28	ga_ls8c_ard_3-0-0_106068_2019-03-03_final
2019-03-10 09:27:42	ga_ls8c_ard_3-1-0_091088_2019-03-09_final
2019-03-15 09:40:37	ga_ls8c_ard_3-1-0_094074_2019-03-15_final
2019-08-22 11:24:04	ga_ls8c_ard_3-1-0_110084_2019-08-22_final
2019-08-29 09:52:11	ga_ls8c_ard_3-1-0_095086_2019-08-29_final
2019-09-01 11:58:47	ga_ls8c_ard_3-1-0_116078_2019-09-01_final
2019-10-05 10:07:42	ga_ls8c_ard_3-1-0_098078_2019-10-05_final
2019-10-12 10:09:31	ga_ls8c_ard_3-1-0_099067_2019-10-12_final
2019-10-30 11:38:50	ga_ls8c_ard_3-1-0_113074_2019-10-30_final
2020-01-26 10:46:44	ga_ls8c_ard_3-1-0_105068_2020-01-26_final
2020-03-12 09:23:10	ga_ls8c_ard_3-1-0_091076_2020-03-11_final
2020-05-31 11:04:27	ga_ls8c_ard_3-1-0_107083_2020-05-31_final
2020-06-18 10:49:28	ga_ls8c_ard_3-1-0_105076_2020-06-18_final
2020-07-23 09:38:08	ga_ls8c_ard_3-1-0_094067_2020-07-23_final
2020-08-06 11:29:50	ga_ls8c_ard_3-1-0_112068_2020-08-06_final
2020-09-30 11:38:45	ga_ls8c_ard_3-1-0_113074_2020-09-30_final
2020-10-21 10:17:38	ga_ls8c_ard_3-1-0_100072_2020-10-21_final
2021-02-01 10:23:13	ga_ls8c_ard_3-2-0_101071_2021-02-01_final
2021-03-05 10:25:50	ga_ls8c_ard_3-2-0_101078_2021-03-05_final
2021-03-16 10:09:58	ga_ls8c_ard_3-2-0_098085_2021-03-16_final
2021-05-17 10:21:42	ga_ls8c_ard_3-2-0_100084_2021-05-17_final
2021-07-25 10:35:51	ga_ls8c_ard_3-2-0_103072_2021-07-25_final
2021-08-25 11:30:04	ga_ls8c_ard_3-2-0_112068_2021-08-25_final
2021-09-07 11:01:37	ga_ls8c_ard_3-2-0_107074_2021-09-07_final
2021-09-26 11:35:47	ga_ls8c_ard_3-2-0_112082_2021-09-26_final
2021-09-30 11:06:18	ga_ls8c_ard_3-2-0_108070_2021-09-30_final
2021-10-12 11:36:16	ga_ls8c_ard_3-2-0_112083_2021-10-12_final
2021-10-23 11:12:58	ga_ls8c_ard_3-2-0_109071_2021-10-23_final
2021-10-30 11:17:33	ga_ls8c_ard_3-2-0_110067_2021-10-30_final
2021-11-01 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-31_final
2021-11-10 09:27:15	ga_ls8c_ard_3-2-0_091085_2021-11-09_final
2021-12-20 11:53:08	ga_ls8c_ard_3-2-1_115079_2021-12-20_final
2021-12-21 09:21:01	ga_ls8c_ard_3-2-1_090085_2021-12-20_final
2022-02-14 09:23:46	ga_ls8c_ard_3-2-1_091077_2022-02-13_final
2022-02-24 10:01:11	ga_ls8c_ard_3-2-1_097078_2022-02-24_final
2022-04-27 11:52:34	ga_ls8c_ard_3-2-1_115079_2022-04-27_final
2022-05-02 10:28:16	ga_ls8c_ard_3-2-1_102069_2022-05-02_final
2022-05-28 09:28:35	ga_ls8c_ard_3-2-1_092074_2022-05-27_final
2022-06-29 11:07:47	ga_ls8c_ard_3-2-1_108074_2022-06-29_final
2022-09-27 10:04:24	ga_ls8c_ard_3-2-1_098069_2022-09-27_final
2022-10-21 10:54:10	ga_ls8c_ard_3-2-1_106070_2022-10-21_final
2022-11-14 10:04:43	ga_ls8c_ard_3-2-1_098070_2022-11-14_final
2022-12-07 11:53:21	ga_ls8c_ard_3-2-1_115079_2022-12-07_final
2023-01-25 09:21:03	ga_ls8c_ard_3-2-1_090085_2023-01-24_final
2023-02-22 11:24:01	ga_ls8c_ard_3-2-1_110084_2023-02-22_final
2023-04-04 09:34:58	ga_ls8c_ard_3-2-1_093075_2023-04-04_final
2023-05-24 10:59:52	ga_ls8c_ard_3-2-1_107072_2023-05-24_final
2023-06-25 09:21:36	ga_ls8c_ard_3-2-1_091073_2023-06-24_final
2023-07-03 10:09:33	ga_ls8c_ard_3-2-1_099069_2023-07-03_final
2023-08-28 09:26:28	ga_ls8c_ard_3-2-1_091084_2023-08-27_final
2023-10-22 09:29:37	ga_ls8c_ard_3-2-1_092076_2023-10-21_final
2023-10-29 11:14:44	ga_ls8c_ard_3-2-1_109076_2023-10-29_final
2023-11-28 09:52:37	ga_ls8c_ard_3-2-1_095087_2023-11-28_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years