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

91 results

Time (local)	Label
2013-08-24 11:55:15	ga_ls8c_ard_3-0-0_115080_2013-08-24_final
2013-08-26 11:39:42	ga_ls8c_ard_3-0-0_113072_2013-08-26_final
2013-10-04 10:04:50	ga_ls8c_ard_3-0-0_098067_2013-10-04_final
2014-04-05 11:53:22	ga_ls8c_ard_3-0-0_115080_2014-04-05_final
2014-05-02 09:57:29	ga_ls8c_ard_3-0-0_096085_2014-05-02_final
2014-07-10 11:53:03	ga_ls8c_ard_3-0-0_115080_2014-07-10_final
2014-07-26 11:53:06	ga_ls8c_ard_3-0-0_115080_2014-07-26_final
2014-08-19 09:20:10	ga_ls8c_ard_3-0-0_091068_2014-08-18_final
2014-09-16 09:45:45	ga_ls8c_ard_3-0-0_095070_2014-09-16_final
2015-02-09 09:33:56	ga_ls8c_ard_3-0-0_093072_2015-02-09_final
2015-05-10 11:52:16	ga_ls8c_ard_3-0-0_115080_2015-05-10_final
2015-06-27 11:52:33	ga_ls8c_ard_3-0-0_115080_2015-06-27_final
2015-08-04 09:33:16	ga_ls8c_ard_3-0-0_093071_2015-08-04_final
2015-09-30 09:27:52	ga_ls8c_ard_3-0-0_092072_2015-09-29_final
2015-11-18 11:53:20	ga_ls8c_ard_3-0-0_115080_2015-11-18_final
2015-12-08 09:46:08	ga_ls8c_ard_3-0-0_095071_2015-12-08_final
2016-03-09 11:53:04	ga_ls8c_ard_3-0-0_115080_2016-03-09_final
2016-07-15 11:53:09	ga_ls8c_ard_3-0-0_115080_2016-07-15_final
2016-09-19 09:57:00	ga_ls8c_ard_3-0-0_097067_2016-09-19_final
2016-09-27 09:10:21	ga_ls8c_ard_3-0-0_089074_2016-09-26_final
2016-09-28 09:51:37	ga_ls8c_ard_3-0-0_096069_2016-09-28_final
2016-12-16 09:10:47	ga_ls8c_ard_3-0-0_089075_2016-12-15_final
2017-01-27 09:45:41	ga_ls8c_ard_3-0-0_095070_2017-01-27_final
2017-01-31 09:22:32	ga_ls8c_ard_3-0-0_091074_2017-01-30_final
2017-03-13 09:22:50	ga_ls8c_ard_3-0-0_090091_2017-03-12_final
2017-04-16 09:06:59	ga_ls8c_ard_3-0-0_088083_2017-04-15_final
2017-04-29 11:52:30	ga_ls8c_ard_3-0-0_115080_2017-04-29_final
2017-05-21 09:33:32	ga_ls8c_ard_3-0-0_093072_2017-05-21_final
2017-08-18 09:33:55	ga_ls8c_ard_3-0-0_092087_2017-08-18_final
2017-10-07 09:17:22	ga_ls8c_ard_3-0-0_090076_2017-10-06_final
2017-10-23 10:52:42	ga_ls8c_ard_3-0-0_106067_2017-10-23_final
2017-11-25 09:56:57	ga_ls8c_ard_3-0-0_097067_2017-11-25_final
2017-11-27 11:24:39	ga_ls8c_ard_3-0-0_111070_2017-11-27_final
2018-05-03 10:54:44	ga_ls8c_ard_3-0-0_106075_2018-05-03_final
2018-05-12 09:15:10	ga_ls8c_ard_3-0-0_089089_2018-05-11_final
2018-07-16 11:29:03	ga_ls8c_ard_3-0-0_112068_2018-07-16_final
2018-08-25 09:07:02	ga_ls8c_ard_3-0-0_088083_2018-08-24_final
2018-08-29 11:57:19	ga_ls8c_ard_3-0-0_116076_2018-08-29_final
2018-09-20 11:17:33	ga_ls8c_ard_3-0-0_110069_2018-09-20_final
2018-10-08 11:10:08	ga_ls8c_ard_3-0-0_108081_2018-10-08_final
2018-11-01 11:57:18	ga_ls8c_ard_3-0-0_116075_2018-11-01_final
2018-11-01 11:57:42	ga_ls8c_ard_3-0-0_116076_2018-11-01_final
2018-11-04 09:10:03	ga_ls8c_ard_3-0-0_089074_2018-11-03_final
2018-11-14 09:45:56	ga_ls8c_ard_3-0-0_095071_2018-11-14_final
2018-12-12 11:53:04	ga_ls8c_ard_3-0-0_115080_2018-12-12_final
2019-01-29 11:52:59	ga_ls8c_ard_3-0-0_115080_2019-01-29_final
2019-05-07 11:41:55	ga_ls8c_ard_3-0-0_113084_2019-05-07_final
2019-06-10 11:24:41	ga_ls8c_ard_3-0-0_111071_2019-06-10_final
2019-08-04 09:58:15	ga_ls8c_ard_3-1-0_096086_2019-08-04_final
2019-09-10 11:53:27	ga_ls8c_ard_3-1-0_115080_2019-09-10_final
2019-09-14 11:24:22	ga_ls8c_ard_3-1-0_111069_2019-09-14_final
2019-10-31 09:07:55	ga_ls8c_ard_3-1-0_088083_2019-10-30_final
2019-12-07 09:22:24	ga_ls8c_ard_3-1-0_091073_2019-12-06_final
2020-01-24 09:22:13	ga_ls8c_ard_3-1-0_091073_2020-01-23_final
2020-05-17 09:09:33	ga_ls8c_ard_3-1-0_089074_2020-05-16_final
2020-07-04 10:48:48	ga_ls8c_ard_3-1-0_105074_2020-07-04_final
2020-07-07 09:40:03	ga_ls8c_ard_3-1-0_094072_2020-07-07_final
2020-11-15 11:53:29	ga_ls8c_ard_3-1-0_115080_2020-11-15_final
2020-11-25 10:50:08	ga_ls8c_ard_3-1-0_105076_2020-11-25_final
2020-12-05 11:24:03	ga_ls8c_ard_3-1-0_111068_2020-12-05_final
2020-12-17 11:53:33	ga_ls8c_ard_3-2-0_115080_2020-12-17_final
2020-12-21 09:45:56	ga_ls8c_ard_3-2-0_095070_2020-12-21_final
2021-02-03 11:53:19	ga_ls8c_ard_3-2-0_115080_2021-02-03_final
2021-02-19 11:53:15	ga_ls8c_ard_3-2-0_115080_2021-02-19_final
2021-03-13 09:33:31	ga_ls8c_ard_3-2-0_093071_2021-03-13_final
2021-08-11 11:18:02	ga_ls8c_ard_3-2-0_110069_2021-08-11_final
2021-09-15 11:53:29	ga_ls8c_ard_3-2-0_115080_2021-09-15_final
2022-01-02 09:40:04	ga_ls8c_ard_3-2-1_094071_2022-01-02_final
2022-01-13 09:22:19	ga_ls8c_ard_3-2-1_091073_2022-01-12_final
2022-01-15 09:10:21	ga_ls8c_ard_3-2-1_089074_2022-01-14_final
2022-02-09 09:07:39	ga_ls8c_ard_3-2-1_088083_2022-02-08_final
2022-04-15 11:23:56	ga_ls8c_ard_3-2-1_111069_2022-04-15_final
2022-08-17 11:53:44	ga_ls8c_ard_3-2-1_115080_2022-08-17_final
2022-11-25 11:24:39	ga_ls8c_ard_3-2-1_111069_2022-11-25_final
2022-12-11 09:46:32	ga_ls8c_ard_3-2-1_095071_2022-12-11_final
2023-02-01 09:23:40	ga_ls8c_ard_3-2-1_091076_2023-01-31_final
2023-04-02 09:45:46	ga_ls8c_ard_3-2-1_095071_2023-04-02_final
2023-08-06 11:38:18	ga_ls8c_ard_3-2-1_113074_2023-08-06_final
2023-09-12 11:57:25	ga_ls8c_ard_3-2-1_116075_2023-09-12_final
2023-09-12 11:57:49	ga_ls8c_ard_3-2-1_116076_2023-09-12_final
2023-09-29 09:22:12	ga_ls8c_ard_3-2-1_091073_2023-09-28_final
2023-11-14 09:34:13	ga_ls8c_ard_3-2-1_093072_2023-11-14_final
2023-11-16 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-11-15_final
2023-11-18 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-11-17_final
2024-01-21 10:49:29	ga_ls8c_ard_3-2-1_105075_2024-01-21_final
2024-02-02 09:40:30	ga_ls8c_ard_3-2-1_093088_2024-02-02_final
2024-02-13 09:17:11	ga_ls8c_ard_3-2-1_090076_2024-02-12_final
2024-03-06 11:57:16	ga_ls8c_ard_3-2-1_116075_2024-03-06_final
2024-03-06 11:57:40	ga_ls8c_ard_3-2-1_116076_2024-03-06_final
2024-03-07 09:22:21	ga_ls8c_ard_3-2-1_091074_2024-03-06_final
2024-03-19 09:51:46	ga_ls8c_ard_3-2-1_095086_2024-03-19_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