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
2013-04-20 11:43:26	ga_ls8c_ard_3-0-0_113082_2013-04-20_final
2013-05-02 10:24:53	ga_ls8c_ard_3-0-0_101071_2013-05-02_final
2013-08-03 10:00:11	ga_ls8c_ard_3-0-0_096086_2013-08-03_final
2013-08-15 10:21:42	ga_ls8c_ard_3-0-0_100078_2013-08-15_final
2014-01-10 09:59:02	ga_ls8c_ard_3-0-0_096085_2014-01-10_final
2014-01-21 11:13:40	ga_ls8c_ard_3-0-0_109071_2014-01-21_final
2014-02-08 11:01:55	ga_ls8c_ard_3-0-0_107073_2014-02-08_final
2014-09-27 11:06:03	ga_ls8c_ard_3-0-0_108070_2014-09-27_final
2014-10-12 10:25:42	ga_ls8c_ard_3-0-0_101077_2014-10-12_final
2014-11-15 10:10:57	ga_ls8c_ard_3-0-0_099071_2014-11-15_final
2014-11-16 10:53:00	ga_ls8c_ard_3-0-0_106068_2014-11-16_final
2015-02-07 11:24:24	ga_ls8c_ard_3-0-0_111070_2015-02-07_final
2015-08-31 10:53:24	ga_ls8c_ard_3-0-0_106070_2015-08-31_final
2015-09-15 10:13:03	ga_ls8c_ard_3-0-0_099077_2015-09-15_final
2015-10-05 11:29:42	ga_ls8c_ard_3-0-0_111083_2015-10-05_final
2015-11-22 11:25:50	ga_ls8c_ard_3-0-0_111073_2015-11-22_final
2016-01-14 11:41:55	ga_ls8c_ard_3-0-0_114067_2016-01-14_final
2016-03-19 10:46:48	ga_ls8c_ard_3-0-0_105069_2016-03-19_final
2016-04-26 10:09:51	ga_ls8c_ard_3-0-0_099070_2016-04-26_final
2016-06-06 10:09:01	ga_ls8c_ard_3-0-0_098083_2016-06-06_final
2016-08-07 11:58:13	ga_ls8c_ard_3-0-0_116077_2016-08-07_final
2016-10-31 10:38:11	ga_ls8c_ard_3-0-0_103077_2016-10-31_final
2017-01-13 11:13:06	ga_ls8c_ard_3-0-0_109072_2017-01-13_final
2017-01-14 10:21:51	ga_ls8c_ard_3-0-0_100083_2017-01-14_final
2017-03-16 11:23:48	ga_ls8c_ard_3-0-0_111069_2017-03-16_final
2017-04-29 10:14:49	ga_ls8c_ard_3-0-0_099083_2017-04-29_final
2017-06-26 10:50:21	ga_ls8c_ard_3-0-0_105078_2017-06-26_final
2017-09-10 11:17:50	ga_ls8c_ard_3-0-0_109084_2017-09-10_final
2017-10-13 10:17:59	ga_ls8c_ard_3-0-0_100073_2017-10-13_final
2017-11-02 09:57:40	ga_ls8c_ard_3-0-0_096084_2017-11-02_final
2017-12-09 10:11:16	ga_ls8c_ard_3-0-0_099072_2017-12-09_final
2018-01-10 10:12:49	ga_ls8c_ard_3-0-0_099076_2018-01-10_final
2018-01-31 10:29:57	ga_ls8c_ard_3-0-0_102073_2018-01-31_final
2018-02-28 10:52:54	ga_ls8c_ard_3-0-0_106069_2018-02-28_final
2018-03-06 10:21:21	ga_ls8c_ard_3-0-0_100083_2018-03-06_final
2018-03-29 10:27:21	ga_ls8c_ard_3-0-0_101083_2018-03-29_final
2018-04-02 11:37:53	ga_ls8c_ard_3-0-0_113074_2018-04-02_final
2018-04-17 10:52:53	ga_ls8c_ard_3-0-0_106070_2018-04-17_final
2018-06-12 10:08:35	ga_ls8c_ard_3-0-0_098084_2018-06-12_final
2018-08-29 10:16:26	ga_ls8c_ard_3-0-0_100071_2018-08-29_final
2018-10-25 10:13:00	ga_ls8c_ard_3-0-0_099077_2018-10-25_final
2018-12-07 11:30:10	ga_ls8c_ard_3-0-0_112069_2018-12-07_final
2018-12-16 11:23:10	ga_ls8c_ard_3-0-0_111067_2018-12-16_final
2018-12-16 11:24:22	ga_ls8c_ard_3-0-0_111070_2018-12-16_final
2019-01-23 10:48:48	ga_ls8c_ard_3-0-0_105074_2019-01-23_final
2019-03-11 10:06:58	ga_ls8c_ard_3-1-0_098078_2019-03-11_final
2019-04-06 10:39:57	ga_ls8c_ard_3-1-0_104068_2019-04-06_final
2019-04-07 11:25:12	ga_ls8c_ard_3-1-0_111073_2019-04-07_final
2019-05-03 10:27:19	ga_ls8c_ard_3-0-0_101083_2019-05-03_final
2019-05-07 09:57:03	ga_ls8c_ard_3-0-0_097069_2019-05-07_final
2019-05-17 10:35:26	ga_ls8c_ard_3-0-0_103072_2019-05-17_final
2019-06-22 10:13:47	ga_ls8c_ard_3-1-0_099079_2019-06-22_final
2019-07-01 10:07:14	ga_ls8c_ard_3-1-0_098078_2019-07-01_final
2019-07-06 10:27:48	ga_ls8c_ard_3-1-0_101083_2019-07-06_final
2019-07-08 10:09:51	ga_ls8c_ard_3-1-0_099069_2019-07-08_final
2019-07-20 10:35:48	ga_ls8c_ard_3-1-0_103072_2019-07-20_final
2019-07-24 10:16:18	ga_ls8c_ard_3-1-0_099085_2019-07-24_final
2019-10-16 11:26:05	ga_ls8c_ard_3-1-0_111073_2019-10-16_final
2019-10-31 10:44:25	ga_ls8c_ard_3-1-0_104077_2019-10-31_final
2019-11-30 10:56:18	ga_ls8c_ard_3-1-0_106076_2019-11-30_final
2020-04-05 10:15:35	ga_ls8c_ard_3-1-0_099084_2020-04-05_final
2020-06-21 11:23:36	ga_ls8c_ard_3-1-0_110084_2020-06-21_final
2020-08-24 11:23:59	ga_ls8c_ard_3-1-0_110084_2020-08-24_final
2020-11-11 10:36:07	ga_ls8c_ard_3-1-0_103072_2020-11-11_final
2020-12-01 10:16:40	ga_ls8c_ard_3-1-0_099085_2020-12-01_final
2021-02-06 10:42:32	ga_ls8c_ard_3-2-0_104073_2021-02-06_final
2021-03-06 11:05:53	ga_ls8c_ard_3-2-0_108070_2021-03-06_final
2021-04-16 09:19:46	ga_ls8c_ard_3-2-0_091068_2021-04-15_final
2021-04-23 09:33:52	ga_ls8c_ard_3-2-0_092088_2021-04-23_final
2021-06-03 11:01:07	ga_ls8c_ard_3-2-0_107074_2021-06-03_final
2021-07-20 10:22:03	ga_ls8c_ard_3-2-0_100084_2021-07-20_final
2021-09-11 10:36:07	ga_ls8c_ard_3-2-0_103072_2021-09-11_final
2021-09-25 09:11:38	ga_ls8c_ard_3-2-0_089077_2021-09-24_final
2021-12-04 11:53:10	ga_ls8c_ard_3-2-0_115079_2021-12-04_final
2021-12-21 09:21:01	ga_ls8c_ard_3-2-1_090085_2021-12-20_final
2021-12-25 10:28:46	ga_ls8c_ard_3-2-1_102069_2021-12-25_final
2022-01-25 11:25:51	ga_ls8c_ard_3-2-1_111073_2022-01-25_final
2022-02-14 09:23:46	ga_ls8c_ard_3-2-1_091077_2022-02-13_final
2022-02-16 09:16:34	ga_ls8c_ard_3-2-1_089090_2022-02-15_final
2022-03-04 09:11:20	ga_ls8c_ard_3-2-1_089077_2022-03-03_final
2022-04-03 09:23:01	ga_ls8c_ard_3-2-1_091076_2022-04-02_final
2022-05-12 11:09:51	ga_ls8c_ard_3-2-1_108080_2022-05-12_final
2022-05-14 09:22:37	ga_ls8c_ard_3-2-1_090090_2022-05-13_final
2022-06-02 09:46:01	ga_ls8c_ard_3-2-1_095071_2022-06-02_final
2022-07-08 11:05:12	ga_ls8c_ard_3-2-1_107083_2022-07-08_final
2022-08-27 10:47:09	ga_ls8c_ard_3-2-1_105068_2022-08-27_final
2022-09-27 11:48:04	ga_ls8c_ard_3-2-1_114081_2022-09-27_final
2022-10-04 10:14:32	ga_ls8c_ard_3-2-1_099079_2022-10-04_final
2022-10-10 09:40:59	ga_ls8c_ard_3-2-1_093088_2022-10-10_final
2022-12-01 09:15:04	ga_ls8c_ard_3-2-1_089085_2022-11-30_final
2023-01-15 10:19:13	ga_ls8c_ard_3-2-1_100076_2023-01-15_final
2023-02-10 09:17:02	ga_ls8c_ard_3-2-1_090075_2023-02-09_final
2023-03-01 11:25:45	ga_ls8c_ard_3-2-1_111073_2023-03-01_final
2023-03-25 10:37:40	ga_ls8c_ard_3-2-1_103077_2023-03-25_final
2023-04-04 11:16:14	ga_ls8c_ard_3-2-1_109081_2023-04-04_final
2023-04-28 10:24:59	ga_ls8c_ard_3-2-1_101077_2023-04-28_final
2023-05-03 09:06:11	ga_ls8c_ard_3-2-1_088081_2023-05-02_final
2023-08-04 10:09:47	ga_ls8c_ard_3-2-1_099069_2023-08-04_final
2023-10-23 10:10:30	ga_ls8c_ard_3-2-1_099070_2023-10-23_final
2023-11-13 10:28:38	ga_ls8c_ard_3-2-1_102069_2023-11-13_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