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

74 results

Time (local)	Label
2013-04-18 10:14:56	ga_ls8c_ard_3-0-0_099077_2013-04-18_final
2013-04-27 10:11:29	ga_ls8c_ard_3-0-0_098084_2013-04-27_final
2013-06-21 10:15:02	ga_ls8c_ard_3-0-0_099077_2013-06-21_final
2013-12-07 10:05:46	ga_ls8c_ard_3-0-0_098070_2013-12-07_final
2014-03-03 09:34:50	ga_ls8c_ard_3-0-0_092088_2014-03-03_final
2014-04-06 10:52:33	ga_ls8c_ard_3-0-0_106067_2014-04-06_final
2014-06-02 09:10:56	ga_ls8c_ard_3-0-0_089077_2014-06-01_final
2014-07-15 10:33:08	ga_ls8c_ard_3-0-0_102081_2014-07-15_final
2014-09-05 11:46:21	ga_ls8c_ard_3-0-0_114078_2014-09-05_final
2015-02-24 10:27:52	ga_ls8c_ard_3-0-0_102068_2015-02-24_final
2015-02-26 10:19:29	ga_ls8c_ard_3-0-0_100078_2015-02-26_final
2015-03-27 09:45:06	ga_ls8c_ard_3-0-0_095070_2015-03-27_final
2015-06-08 09:37:27	ga_ls8c_ard_3-0-0_094067_2015-06-08_final
2015-08-23 10:07:06	ga_ls8c_ard_3-0-0_098078_2015-08-23_final
2015-11-13 11:31:34	ga_ls8c_ard_3-0-0_112072_2015-11-13_final
2016-01-24 09:07:13	ga_ls8c_ard_3-0-0_088082_2016-01-23_final
2016-03-01 11:03:39	ga_ls8c_ard_3-0-0_107080_2016-03-01_final
2016-03-18 10:04:21	ga_ls8c_ard_3-1-0_098071_2016-03-18_final
2016-07-04 10:33:08	ga_ls8c_ard_3-0-0_102081_2016-07-04_final
2016-09-23 11:17:57	ga_ls8c_ard_3-0-0_109084_2016-09-23_final
2017-02-25 10:54:16	ga_ls8c_ard_3-0-0_106072_2017-02-25_final
2017-03-10 10:27:39	ga_ls8c_ard_3-0-0_101083_2017-03-10_final
2017-05-23 09:21:36	ga_ls8c_ard_3-0-0_091073_2017-05-22_final
2017-07-18 10:13:46	ga_ls8c_ard_3-0-0_099079_2017-07-18_final
2017-07-28 09:10:03	ga_ls8c_ard_3-0-0_089074_2017-07-27_final
2017-08-16 11:22:45	ga_ls8c_ard_3-0-0_110081_2017-08-16_final
2017-11-14 10:17:33	ga_ls8c_ard_3-0-0_100072_2017-11-14_final
2017-12-22 11:17:19	ga_ls8c_ard_3-0-0_110067_2017-12-22_final
2017-12-27 11:35:50	ga_ls8c_ard_3-0-0_113067_2017-12-27_final
2018-02-22 11:30:26	ga_ls8c_ard_3-0-0_112070_2018-02-22_final
2018-07-09 09:50:43	ga_ls8c_ard_3-0-0_095085_2018-07-09_final
2018-07-14 10:08:54	ga_ls8c_ard_3-0-0_098084_2018-07-14_final
2018-07-15 09:09:41	ga_ls8c_ard_3-0-0_089075_2018-07-14_final
2018-07-21 10:13:07	ga_ls8c_ard_3-0-0_099079_2018-07-21_final
2018-10-01 09:21:49	ga_ls8c_ard_3-0-0_091073_2018-09-30_final
2018-11-27 09:21:49	ga_ls8c_ard_3-0-0_090088_2018-11-26_final
2018-12-20 09:22:45	ga_ls8c_ard_3-0-0_091075_2018-12-19_final
2019-02-08 09:11:52	ga_ls8c_ard_3-0-0_089079_2019-02-07_final
2019-03-18 10:10:19	ga_ls8c_ard_3-1-0_099071_2019-03-18_final
2019-04-28 10:06:44	ga_ls8c_ard_3-0-0_098078_2019-04-28_final
2019-07-03 11:30:11	ga_ls8c_ard_3-1-0_112069_2019-07-03_final
2019-08-13 11:24:13	ga_ls8c_ard_3-1-0_111069_2019-08-13_final
2019-09-25 09:31:23	ga_ls8c_ard_3-1-0_092080_2019-09-25_final
2019-10-19 10:20:06	ga_ls8c_ard_3-1-0_100078_2019-10-19_final
2019-11-25 10:36:10	ga_ls8c_ard_3-1-0_103072_2019-11-25_final
2019-12-22 10:19:58	ga_ls8c_ard_3-1-0_100078_2019-12-22_final
2020-03-01 09:40:11	ga_ls8c_ard_3-1-0_094072_2020-03-01_final
2020-03-13 10:02:26	ga_ls8c_ard_3-2-1_098066_2020-03-13_final
2020-03-29 11:47:09	ga_ls8c_ard_3-1-0_114081_2020-03-29_final
2020-04-16 11:35:27	ga_ls8c_ard_3-1-0_112083_2020-04-16_final
2020-04-17 10:39:25	ga_ls8c_ard_3-1-0_103082_2020-04-17_final
2020-06-02 09:11:13	ga_ls8c_ard_3-1-0_089078_2020-06-01_final
2020-06-16 09:26:55	ga_ls8c_ard_3-1-0_091086_2020-06-15_final
2020-07-20 10:48:54	ga_ls8c_ard_3-1-0_105074_2020-07-20_final
2020-07-22 10:39:21	ga_ls8c_ard_3-1-0_103081_2020-07-22_final
2021-05-10 10:09:51	ga_ls8c_ard_3-2-0_099070_2021-05-10_final
2021-05-19 11:41:28	ga_ls8c_ard_3-2-0_114067_2021-05-19_final
2021-07-08 11:29:23	ga_ls8c_ard_3-2-0_112067_2021-07-08_final
2021-09-01 09:58:12	ga_ls8c_ard_3-2-0_097070_2021-09-01_final
2021-09-10 09:58:26	ga_ls8c_ard_3-2-0_096086_2021-09-10_final
2021-11-20 09:57:30	ga_ls8c_ard_3-2-0_097068_2021-11-20_final
2021-12-04 10:09:53	ga_ls8c_ard_3-2-0_099068_2021-12-04_final
2021-12-20 10:13:27	ga_ls8c_ard_3-2-1_099077_2021-12-20_final
2021-12-30 10:49:15	ga_ls8c_ard_3-2-1_105074_2021-12-30_final
2022-03-03 10:04:34	ga_ls8c_ard_3-2-1_098071_2022-03-03_final
2022-05-08 09:57:15	ga_ls8c_ard_3-2-1_096084_2022-05-08_final
2022-06-07 10:09:49	ga_ls8c_ard_3-2-1_098084_2022-06-07_final
2022-08-14 09:40:44	ga_ls8c_ard_3-2-1_094072_2022-08-14_final
2022-11-18 11:18:25	ga_ls8c_ard_3-2-1_110069_2022-11-18_final
2023-01-16 09:28:22	ga_ls8c_ard_3-2-1_091088_2023-01-15_final
2023-01-30 11:14:30	ga_ls8c_ard_3-2-1_109075_2023-01-30_final
2023-03-12 09:31:02	ga_ls8c_ard_3-2-1_092080_2023-03-12_final
2023-05-04 11:23:32	ga_ls8c_ard_3-2-1_111069_2023-05-04_final
2024-04-13 11:17:28	ga_ls8c_ard_3-2-1_110069_2024-04-13_nrt

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