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
2013-11-07 11:33:13	ga_ls8c_ard_3-0-0_112072_2013-11-07_final
2013-12-18 09:45:54	ga_ls8c_ard_3-0-0_095067_2013-12-18_final
2013-12-18 09:47:54	ga_ls8c_ard_3-0-0_095072_2013-12-18_final
2014-01-21 11:14:28	ga_ls8c_ard_3-0-0_109073_2014-01-21_final
2014-01-31 11:52:41	ga_ls8c_ard_3-0-0_115076_2014-01-31_final
2014-03-20 11:51:14	ga_ls8c_ard_3-0-0_115074_2014-03-20_final
2014-03-30 10:46:50	ga_ls8c_ard_3-0-0_105068_2014-03-30_final
2014-06-01 11:46:13	ga_ls8c_ard_3-0-0_114079_2014-06-01_final
2014-10-11 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-10-11_final
2014-12-17 11:51:19	ga_ls8c_ard_3-0-0_115075_2014-12-17_final
2015-01-04 11:37:41	ga_ls8c_ard_3-0-0_113072_2015-01-04_final
2015-04-07 11:09:43	ga_ls8c_ard_3-0-0_108081_2015-04-07_final
2015-08-31 10:53:00	ga_ls8c_ard_3-0-0_106069_2015-08-31_final
2015-10-13 10:35:51	ga_ls8c_ard_3-0-0_103072_2015-10-13_final
2015-12-17 09:40:45	ga_ls8c_ard_3-0-0_094073_2015-12-17_final
2016-01-02 09:40:19	ga_ls8c_ard_3-0-0_094072_2016-01-02_final
2016-03-27 11:41:21	ga_ls8c_ard_3-0-0_113082_2016-03-27_final
2016-07-01 11:35:30	ga_ls8c_ard_3-0-0_113067_2016-07-01_final
2016-08-28 10:36:00	ga_ls8c_ard_3-0-0_103072_2016-08-28_final
2016-11-24 11:30:25	ga_ls8c_ard_3-0-0_111084_2016-11-24_final
2016-12-10 11:26:47	ga_ls8c_ard_3-0-0_111075_2016-12-10_final
2017-01-11 09:50:34	ga_ls8c_ard_3-0-0_095082_2017-01-11_final
2017-02-08 11:51:11	ga_ls8c_ard_3-0-0_115075_2017-02-08_final
2017-05-24 11:44:09	ga_ls8c_ard_3-0-0_114074_2017-05-24_final
2017-06-29 11:18:05	ga_ls8c_ard_3-0-0_110070_2017-06-29_final
2017-09-11 11:57:54	ga_ls8c_ard_3-0-0_116076_2017-09-11_final
2017-12-04 11:33:13	ga_ls8c_ard_3-0-0_112076_2017-12-04_final
2018-04-13 09:39:34	ga_ls8c_ard_3-0-0_094072_2018-04-13_final
2018-05-22 09:45:44	ga_ls8c_ard_3-0-0_095073_2018-05-22_final
2018-08-16 10:48:26	ga_ls8c_ard_3-0-0_105074_2018-08-16_final
2018-10-17 11:04:48	ga_ls8c_ard_3-0-0_107083_2018-10-17_final
2018-12-06 10:48:54	ga_ls8c_ard_3-0-0_105074_2018-12-06_final
2018-12-20 11:02:02	ga_ls8c_ard_3-0-0_107076_2018-12-20_final
2018-12-25 09:40:30	ga_ls8c_ard_3-0-0_094073_2018-12-25_final
2019-01-01 09:46:17	ga_ls8c_ard_3-0-0_095072_2019-01-01_final
2019-03-03 10:52:28	ga_ls8c_ard_3-0-0_106068_2019-03-03_final
2019-10-07 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-10-07_final
2019-10-16 11:23:41	ga_ls8c_ard_3-1-0_111067_2019-10-16_final
2019-10-21 11:45:01	ga_ls8c_ard_3-1-0_114074_2019-10-21_final
2019-12-25 10:52:27	ga_ls8c_ard_3-1-0_105082_2019-12-25_final
2020-01-11 11:33:15	ga_ls8c_ard_3-1-0_112076_2020-01-11_final
2020-01-17 10:53:45	ga_ls8c_ard_3-1-0_106070_2020-01-17_final
2020-02-01 10:08:49	ga_ls8c_ard_3-2-1_099066_2020-02-01_final
2020-03-10 11:14:01	ga_ls8c_ard_3-1-0_109075_2020-03-10_final
2020-07-02 11:01:09	ga_ls8c_ard_3-1-0_107074_2020-07-02_final
2020-07-07 09:40:03	ga_ls8c_ard_3-1-0_094072_2020-07-07_final
2020-08-10 11:09:55	ga_ls8c_ard_3-1-0_108080_2020-08-10_final
2020-08-26 11:06:51	ga_ls8c_ard_3-1-0_108072_2020-08-26_final
2020-10-18 09:46:44	ga_ls8c_ard_3-1-0_095072_2020-10-18_final
2020-12-16 11:06:41	ga_ls8c_ard_3-1-0_108071_2020-12-16_final
2021-01-03 10:53:27	ga_ls8c_ard_3-2-0_106069_2021-01-03_final
2021-02-02 11:08:04	ga_ls8c_ard_3-2-0_108075_2021-02-02_final
2021-03-08 09:17:25	ga_ls8c_ard_3-2-0_090077_2021-03-07_final
2021-03-23 10:10:32	ga_ls8c_ard_3-2-0_099071_2021-03-23_final
2021-04-19 11:35:07	ga_ls8c_ard_3-2-0_112082_2021-04-19_final
2021-04-22 10:25:07	ga_ls8c_ard_3-2-0_101077_2021-04-22_final
2021-05-08 10:26:11	ga_ls8c_ard_3-2-0_101080_2021-05-08_final
2021-06-24 09:40:06	ga_ls8c_ard_3-2-0_094072_2021-06-24_final
2021-07-06 10:03:15	ga_ls8c_ard_3-2-0_098068_2021-07-06_final
2021-07-19 09:34:23	ga_ls8c_ard_3-2-0_093073_2021-07-19_final
2021-07-20 11:58:08	ga_ls8c_ard_3-2-0_116077_2021-07-20_final
2021-07-21 11:04:55	ga_ls8c_ard_3-2-0_107083_2021-07-21_final
2021-08-13 09:28:00	ga_ls8c_ard_3-2-0_092072_2021-08-12_final
2021-08-23 11:46:48	ga_ls8c_ard_3-2-0_114079_2021-08-23_final
2021-10-09 09:22:53	ga_ls8c_ard_3-2-0_091074_2021-10-08_final
2021-11-17 09:29:00	ga_ls8c_ard_3-2-0_092074_2021-11-16_final
2021-11-24 11:13:40	ga_ls8c_ard_3-2-0_109073_2021-11-24_final
2021-12-11 10:18:03	ga_ls8c_ard_3-2-1_100073_2021-12-11_final
2021-12-12 09:22:26	ga_ls8c_ard_3-2-1_091073_2021-12-11_final
2021-12-26 11:14:01	ga_ls8c_ard_3-2-1_109074_2021-12-26_final
2022-01-29 09:22:37	ga_ls8c_ard_3-2-1_091074_2022-01-28_final
2022-03-14 09:52:20	ga_ls8c_ard_3-2-1_095087_2022-03-14_final
2022-06-11 09:45:08	ga_ls8c_ard_3-2-1_094084_2022-06-11_final
2022-06-15 09:17:40	ga_ls8c_ard_3-2-1_090077_2022-06-14_final
2022-07-08 09:22:43	ga_ls8c_ard_3-2-1_091074_2022-07-07_final
2022-07-26 09:14:52	ga_ls8c_ard_3-2-1_089085_2022-07-25_final
2022-08-17 11:52:56	ga_ls8c_ard_3-2-1_115078_2022-08-17_final
2022-08-21 11:24:38	ga_ls8c_ard_3-2-1_111069_2022-08-21_final
2022-08-22 10:29:24	ga_ls8c_ard_3-2-1_102070_2022-08-22_final
2022-09-26 09:27:07	ga_ls8c_ard_3-2-1_091084_2022-09-25_final
2022-10-13 11:47:55	ga_ls8c_ard_3-2-1_114081_2022-10-13_final
2022-10-21 09:17:41	ga_ls8c_ard_3-2-1_090076_2022-10-20_final
2022-12-27 11:24:06	ga_ls8c_ard_3-2-1_111068_2022-12-27_final
2023-01-02 09:14:08	ga_ls8c_ard_3-2-1_089083_2023-01-01_final
2023-01-09 10:54:23	ga_ls8c_ard_3-2-1_106071_2023-01-09_final
2023-02-18 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-02-18_final
2023-04-04 11:16:38	ga_ls8c_ard_3-2-1_109082_2023-04-04_final
2023-04-08 10:45:51	ga_ls8c_ard_3-2-1_105067_2023-04-08_final
2023-04-18 11:23:13	ga_ls8c_ard_3-2-1_111068_2023-04-18_final
2023-08-11 10:21:33	ga_ls8c_ard_3-2-1_100083_2023-08-11_final
2023-09-18 09:39:54	ga_ls8c_ard_3-2-1_094071_2023-09-18_final
2023-10-09 09:56:55	ga_ls8c_ard_3-2-1_097067_2023-10-09_final
2023-10-16 10:10:18	ga_ls8c_ard_3-2-1_098085_2023-10-16_final
2023-11-05 09:40:49	ga_ls8c_ard_3-2-1_094073_2023-11-05_final
2023-11-25 10:53:02	ga_ls8c_ard_3-2-1_106068_2023-11-25_final
2023-12-02 11:00:21	ga_ls8c_ard_3-2-1_107071_2023-12-02_final
2023-12-06 10:35:57	ga_ls8c_ard_3-2-1_103072_2023-12-06_final
2024-01-12 10:53:43	ga_ls8c_ard_3-2-1_106070_2024-01-12_final
2024-02-16 11:24:33	ga_ls8c_ard_3-2-1_111070_2024-02-16_final
2024-03-15 11:51:26	ga_ls8c_ard_3-2-1_115076_2024-03-15_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