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

92 results

Time (local)	Label
2013-03-22 10:20:30	ga_ls8c_ard_3-0-0_100078_2013-03-22_final
2013-05-19 09:28:17	ga_ls8c_ard_3-0-0_092068_2013-05-18_final
2013-10-10 11:09:26	ga_ls8c_ard_3-0-0_108074_2013-10-10_final
2013-11-22 09:14:54	ga_ls8c_ard_3-0-0_089082_2013-11-21_final
2014-01-12 11:20:44	ga_ls8c_ard_3-0-0_110073_2014-01-12_final
2014-03-20 10:11:09	ga_ls8c_ard_3-0-0_099071_2014-03-20_final
2014-10-08 09:10:19	ga_ls8c_ard_3-0-0_089074_2014-10-07_final
2014-12-17 11:51:19	ga_ls8c_ard_3-0-0_115075_2014-12-17_final
2014-12-24 10:17:01	ga_ls8c_ard_3-0-0_100071_2014-12-24_final
2015-04-05 11:16:29	ga_ls8c_ard_3-0-0_110067_2015-04-05_final
2015-04-28 11:23:22	ga_ls8c_ard_3-0-0_111069_2015-04-28_final
2015-04-30 11:16:34	ga_ls8c_ard_3-0-0_109083_2015-04-30_final
2015-06-28 09:20:27	ga_ls8c_ard_3-0-0_090086_2015-06-27_final
2015-08-09 09:57:01	ga_ls8c_ard_3-0-0_096084_2015-08-09_final
2015-08-26 10:36:26	ga_ls8c_ard_3-0-0_103074_2015-08-26_final
2015-08-28 10:26:52	ga_ls8c_ard_3-0-0_101081_2015-08-28_final
2015-10-19 09:57:36	ga_ls8c_ard_3-0-0_097069_2015-10-19_final
2015-11-26 11:05:06	ga_ls8c_ard_3-0-0_107083_2015-11-26_final
2016-01-07 09:57:14	ga_ls8c_ard_3-0-0_097068_2016-01-07_final
2016-03-22 09:39:59	ga_ls8c_ard_3-0-0_094072_2016-03-22_final
2016-07-26 11:29:28	ga_ls8c_ard_3-0-0_112067_2016-07-26_final
2016-08-18 11:38:32	ga_ls8c_ard_3-0-0_113074_2016-08-18_final
2016-12-11 10:30:21	ga_ls8c_ard_3-0-0_102073_2016-12-11_final
2017-02-24 10:10:37	ga_ls8c_ard_3-0-0_099071_2017-02-24_final
2017-02-24 10:14:12	ga_ls8c_ard_3-0-0_099080_2017-02-24_final
2017-03-01 10:27:55	ga_ls8c_ard_3-0-0_102068_2017-03-01_final
2017-05-01 11:36:56	ga_ls8c_ard_3-0-0_113072_2017-05-01_final
2017-05-14 09:27:17	ga_ls8c_ard_3-0-0_092072_2017-05-13_final
2017-08-12 10:09:46	ga_ls8c_ard_3-0-0_098084_2017-08-12_final
2017-08-20 10:55:15	ga_ls8c_ard_3-0-0_106074_2017-08-20_final
2017-10-28 09:34:21	ga_ls8c_ard_3-0-0_093072_2017-10-28_final
2017-11-22 09:28:52	ga_ls8c_ard_3-0-0_092074_2017-11-21_final
2017-11-27 09:46:34	ga_ls8c_ard_3-0-0_095072_2017-11-27_final
2017-12-29 09:47:22	ga_ls8c_ard_3-0-0_095074_2017-12-29_final
2018-03-01 11:35:21	ga_ls8c_ard_3-0-0_113067_2018-03-01_final
2018-05-31 09:38:37	ga_ls8c_ard_3-0-0_094071_2018-05-31_final
2018-08-07 09:20:27	ga_ls8c_ard_3-0-0_090086_2018-08-06_final
2018-08-07 10:54:56	ga_ls8c_ard_3-0-0_106075_2018-08-07_final
2018-08-13 10:16:19	ga_ls8c_ard_3-0-0_100071_2018-08-13_final
2018-10-16 10:16:45	ga_ls8c_ard_3-0-0_100071_2018-10-16_final
2018-10-22 09:39:42	ga_ls8c_ard_3-0-0_094071_2018-10-22_final
2018-11-12 09:57:06	ga_ls8c_ard_3-0-0_097068_2018-11-12_final
2018-12-29 09:22:10	ga_ls8c_ard_3-0-0_090089_2018-12-28_final
2019-01-17 11:25:55	ga_ls8c_ard_3-0-0_111074_2019-01-17_final
2019-02-10 10:35:36	ga_ls8c_ard_3-0-0_103072_2019-02-10_final
2019-03-27 10:09:18	ga_ls8c_ard_3-1-0_098084_2019-03-27_final
2019-05-10 10:27:59	ga_ls8c_ard_3-0-0_102069_2019-05-10_final
2019-05-11 09:39:09	ga_ls8c_ard_3-0-0_093086_2019-05-11_final
2019-06-10 11:24:17	ga_ls8c_ard_3-0-0_111070_2019-06-10_final
2019-07-03 11:31:23	ga_ls8c_ard_3-1-0_112072_2019-07-03_final
2019-07-29 10:28:30	ga_ls8c_ard_3-1-0_102069_2019-07-29_final
2019-08-10 10:55:41	ga_ls8c_ard_3-1-0_106075_2019-08-10_final
2019-08-22 09:40:23	ga_ls8c_ard_3-1-0_094072_2019-08-22_final
2019-10-08 10:36:13	ga_ls8c_ard_3-1-0_103072_2019-10-08_final
2019-11-03 09:32:26	ga_ls8c_ard_3-1-0_093067_2019-11-03_final
2019-12-27 10:39:17	ga_ls8c_ard_3-1-0_103080_2019-12-27_final
2020-01-20 11:25:50	ga_ls8c_ard_3-1-0_111073_2020-01-20_final
2020-04-04 09:25:32	ga_ls8c_ard_3-1-0_092067_2020-04-03_final
2020-04-04 09:27:32	ga_ls8c_ard_3-1-0_092072_2020-04-03_final
2020-04-21 11:51:57	ga_ls8c_ard_3-1-0_115078_2020-04-21_final
2020-04-29 09:19:34	ga_ls8c_ard_3-1-0_091068_2020-04-28_final
2020-07-20 10:48:54	ga_ls8c_ard_3-1-0_105074_2020-07-20_final
2020-08-15 09:44:25	ga_ls8c_ard_3-1-0_095067_2020-08-15_final
2020-09-30 09:58:17	ga_ls8c_ard_3-1-0_097070_2020-09-30_final
2020-11-10 11:30:57	ga_ls8c_ard_3-1-0_112070_2020-11-10_final
2020-12-29 10:39:44	ga_ls8c_ard_3-2-0_103081_2020-12-29_final
2021-02-17 10:25:33	ga_ls8c_ard_3-2-0_101077_2021-02-17_final
2021-06-10 09:30:52	ga_ls8c_ard_3-2-0_092080_2021-06-10_final
2021-08-28 10:23:17	ga_ls8c_ard_3-2-0_101071_2021-08-28_final
2021-11-13 11:32:38	ga_ls8c_ard_3-2-0_112074_2021-11-13_final
2021-12-03 11:11:30	ga_ls8c_ard_3-2-0_108083_2021-12-03_final
2021-12-14 10:50:09	ga_ls8c_ard_3-2-1_105076_2021-12-14_final
2022-01-05 10:15:46	ga_ls8c_ard_3-2-1_099083_2022-01-05_final
2022-04-15 11:27:31	ga_ls8c_ard_3-2-1_111078_2022-04-15_final
2022-05-21 11:03:18	ga_ls8c_ard_3-2-1_107079_2022-05-21_final
2022-05-26 11:23:02	ga_ls8c_ard_3-2-1_110082_2022-05-26_final
2022-06-23 11:46:03	ga_ls8c_ard_3-2-1_114077_2022-06-23_final
2022-07-27 11:31:50	ga_ls8c_ard_3-2-1_112072_2022-07-27_final
2022-08-25 09:26:13	ga_ls8c_ard_3-2-1_091082_2022-08-24_final
2022-10-16 10:36:46	ga_ls8c_ard_3-2-1_103073_2022-10-16_final
2022-10-22 09:58:57	ga_ls8c_ard_3-2-1_097071_2022-10-22_final
2022-10-29 10:09:34	ga_ls8c_ard_3-2-1_098082_2022-10-29_final
2022-10-30 10:47:15	ga_ls8c_ard_3-2-1_105068_2022-10-30_final
2022-11-06 09:22:31	ga_ls8c_ard_3-2-1_090088_2022-11-05_final
2022-12-04 09:40:47	ga_ls8c_ard_3-2-1_094072_2022-12-04_final
2023-02-15 09:35:06	ga_ls8c_ard_3-2-1_093074_2023-02-15_final
2023-06-21 11:28:45	ga_ls8c_ard_3-2-1_111082_2023-06-21_final
2023-07-27 09:22:40	ga_ls8c_ard_3-2-1_091075_2023-07-26_final
2024-01-26 09:28:40	ga_ls8c_ard_3-2-1_092074_2024-01-25_final
2024-02-03 10:22:10	ga_ls8c_ard_3-2-1_100084_2024-02-03_final
2024-03-07 09:22:44	ga_ls8c_ard_3-2-1_091075_2024-03-06_final
2024-03-26 09:57:48	ga_ls8c_ard_3-2-1_096086_2024-03-26_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