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

71 results

Time (local)	Label
2013-08-25 09:23:56	ga_ls8c_ard_3-0-0_090088_2013-08-24_final
2013-09-11 10:03:58	ga_ls8c_ard_3-0-0_097080_2013-09-11_final
2013-12-09 11:31:05	ga_ls8c_ard_3-0-0_112067_2013-12-09_final
2014-01-08 10:10:38	ga_ls8c_ard_3-0-0_098083_2014-01-08_final
2014-02-25 11:42:33	ga_ls8c_ard_3-0-0_114067_2014-02-25_final
2014-04-05 10:10:06	ga_ls8c_ard_3-0-0_099069_2014-04-05_final
2015-01-26 11:03:19	ga_ls8c_ard_3-0-0_107079_2015-01-26_final
2015-01-30 10:35:48	ga_ls8c_ard_3-0-0_103072_2015-01-30_final
2015-09-15 11:52:20	ga_ls8c_ard_3-0-0_115078_2015-09-15_final
2016-01-30 10:09:24	ga_ls8c_ard_3-0-0_098083_2016-01-30_final
2016-03-19 10:51:12	ga_ls8c_ard_3-0-0_105080_2016-03-19_final
2016-03-26 09:21:37	ga_ls8c_ard_3-0-0_090088_2016-03-25_final
2016-05-25 11:19:32	ga_ls8c_ard_3-0-0_110074_2016-05-25_final
2016-06-15 11:38:08	ga_ls8c_ard_3-0-0_113074_2016-06-15_final
2016-10-31 10:38:11	ga_ls8c_ard_3-0-0_103077_2016-10-31_final
2016-12-11 10:30:21	ga_ls8c_ard_3-0-0_102073_2016-12-11_final
2017-02-06 10:24:41	ga_ls8c_ard_3-0-0_101075_2017-02-06_final
2017-04-13 10:08:36	ga_ls8c_ard_3-0-0_099067_2017-04-13_final
2017-05-19 11:23:10	ga_ls8c_ard_3-0-0_111068_2017-05-19_final
2017-07-07 10:28:16	ga_ls8c_ard_3-0-0_102069_2017-07-07_final
2017-08-21 10:02:02	ga_ls8c_ard_3-0-0_097080_2017-08-21_final
2017-08-26 10:22:11	ga_ls8c_ard_3-0-0_100084_2017-08-26_final
2017-09-13 10:03:27	ga_ls8c_ard_3-0-0_098068_2017-09-13_final
2017-11-18 09:57:36	ga_ls8c_ard_3-0-0_096084_2017-11-18_final
2018-07-13 11:04:07	ga_ls8c_ard_3-0-0_107083_2018-07-13_final
2018-09-17 09:10:57	ga_ls8c_ard_3-0-0_089077_2018-09-16_final
2018-10-10 10:53:24	ga_ls8c_ard_3-0-0_106070_2018-10-10_final
2018-11-10 11:51:56	ga_ls8c_ard_3-0-0_115077_2018-11-10_final
2018-11-15 10:33:35	ga_ls8c_ard_3-0-0_102082_2018-11-15_final
2018-12-08 10:35:44	ga_ls8c_ard_3-0-0_103072_2018-12-08_final
2019-01-17 09:45:50	ga_ls8c_ard_3-0-0_095071_2019-01-17_final
2019-02-04 11:13:29	ga_ls8c_ard_3-0-0_109074_2019-02-04_final
2019-02-20 09:32:10	ga_ls8c_ard_3-0-0_093068_2019-02-20_final
2019-03-02 10:09:12	ga_ls8c_ard_3-0-0_099068_2019-03-02_final
2019-05-13 09:22:26	ga_ls8c_ard_3-0-0_091075_2019-05-12_final
2019-07-02 09:16:01	ga_ls8c_ard_3-1-0_089089_2019-07-01_final
2019-07-05 09:40:08	ga_ls8c_ard_3-1-0_094072_2019-07-05_final
2019-09-18 09:27:34	ga_ls8c_ard_3-1-0_091086_2019-09-17_final
2019-10-13 09:22:17	ga_ls8c_ard_3-1-0_090088_2019-10-12_final
2019-11-10 09:45:47	ga_ls8c_ard_3-1-0_094085_2019-11-10_final
2020-01-20 11:24:15	ga_ls8c_ard_3-1-0_111069_2020-01-20_final
2020-02-16 11:07:58	ga_ls8c_ard_3-1-0_108075_2020-02-16_final
2020-03-29 10:03:52	ga_ls8c_ard_3-1-0_098070_2020-03-29_final
2020-04-02 11:22:47	ga_ls8c_ard_3-1-0_110082_2020-04-02_final
2020-05-14 10:21:06	ga_ls8c_ard_3-1-0_100083_2020-05-14_final
2020-07-30 11:24:26	ga_ls8c_ard_3-1-0_111070_2020-07-30_final
2020-08-12 10:55:34	ga_ls8c_ard_3-1-0_106075_2020-08-12_final
2021-06-01 09:39:22	ga_ls8c_ard_3-2-0_093086_2021-06-01_final
2021-07-23 10:49:47	ga_ls8c_ard_3-2-0_105076_2021-07-23_final
2021-08-07 11:45:07	ga_ls8c_ard_3-2-0_114075_2021-08-07_final
2021-09-15 11:52:41	ga_ls8c_ard_3-2-0_115078_2021-09-15_final
2021-09-16 10:54:40	ga_ls8c_ard_3-2-0_106072_2021-09-16_final
2021-09-25 09:14:25	ga_ls8c_ard_3-2-0_089084_2021-09-24_final
2021-10-12 09:52:36	ga_ls8c_ard_3-2-0_096071_2021-10-12_final
2021-11-02 10:15:32	ga_ls8c_ard_3-2-0_099082_2021-11-02_final
2021-11-15 09:46:34	ga_ls8c_ard_3-2-0_094087_2021-11-15_final
2021-12-20 10:14:15	ga_ls8c_ard_3-2-1_099079_2021-12-20_final
2021-12-23 10:44:44	ga_ls8c_ard_3-2-1_104078_2021-12-23_final
2021-12-28 11:00:50	ga_ls8c_ard_3-2-1_107072_2021-12-28_final
2022-01-21 11:51:24	ga_ls8c_ard_3-2-1_115075_2022-01-21_final
2022-02-14 09:22:34	ga_ls8c_ard_3-2-1_091074_2022-02-13_final
2022-10-15 09:57:29	ga_ls8c_ard_3-2-1_096083_2022-10-15_final
2022-10-15 11:32:46	ga_ls8c_ard_3-2-1_112074_2022-10-15_final
2022-11-04 09:33:42	ga_ls8c_ard_3-2-1_092085_2022-11-04_final
2022-12-30 10:22:30	ga_ls8c_ard_3-2-1_100084_2022-12-30_final
2023-03-13 11:51:11	ga_ls8c_ard_3-2-1_115075_2023-03-13_final
2023-07-13 10:46:19	ga_ls8c_ard_3-2-1_105068_2023-07-13_final
2023-08-07 09:07:00	ga_ls8c_ard_3-2-1_088082_2023-08-06_final
2023-08-12 09:27:32	ga_ls8c_ard_3-2-1_091087_2023-08-11_final
2023-12-07 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-12-07_final
2024-02-21 10:05:48	ga_ls8c_ard_3-2-1_098074_2024-02-21_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