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

68 results

Time (local)	Label
2013-08-14 09:39:14	ga_ls8c_ard_3-0-0_093080_2013-08-14_final
2013-12-18 11:25:59	ga_ls8c_ard_3-0-0_111070_2013-12-18_final
2014-01-15 10:10:41	ga_ls8c_ard_3-0-0_099068_2014-01-15_final
2014-02-11 09:52:41	ga_ls8c_ard_3-0-0_096070_2014-02-11_final
2014-04-24 10:40:17	ga_ls8c_ard_3-0-0_104068_2014-04-24_final
2014-04-26 10:29:54	ga_ls8c_ard_3-0-0_102073_2014-04-26_final
2014-07-23 09:40:06	ga_ls8c_ard_3-0-0_094072_2014-07-23_final
2014-12-18 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-12-17_final
2015-02-19 10:10:08	ga_ls8c_ard_3-0-0_099070_2015-02-19_final
2015-05-08 10:21:47	ga_ls8c_ard_3-0-0_101070_2015-05-08_final
2015-07-07 09:12:23	ga_ls8c_ard_3-0-0_089081_2015-07-06_final
2015-08-26 10:38:01	ga_ls8c_ard_3-0-0_103078_2015-08-26_final
2015-08-27 09:38:01	ga_ls8c_ard_3-0-0_094067_2015-08-27_final
2015-10-21 09:46:51	ga_ls8c_ard_3-0-0_095073_2015-10-21_final
2016-01-29 09:23:45	ga_ls8c_ard_3-0-0_091077_2016-01-28_final
2016-02-29 10:21:59	ga_ls8c_ard_3-0-0_100084_2016-02-29_final
2016-03-11 09:57:50	ga_ls8c_ard_3-1-0_097070_2016-03-11_final
2016-03-29 11:22:59	ga_ls8c_ard_3-0-0_111067_2016-03-29_final
2016-04-21 09:51:19	ga_ls8c_ard_3-0-0_096070_2016-04-21_final
2016-05-14 09:56:42	ga_ls8c_ard_3-0-0_097068_2016-05-14_final
2016-06-15 10:02:03	ga_ls8c_ard_3-0-0_097081_2016-06-15_final
2016-12-22 10:12:09	ga_ls8c_ard_3-0-0_099074_2016-12-22_final
2017-01-11 11:26:40	ga_ls8c_ard_3-0-0_111075_2017-01-11_final
2017-05-01 11:34:56	ga_ls8c_ard_3-0-0_113067_2017-05-01_final
2017-06-25 11:41:35	ga_ls8c_ard_3-0-0_114067_2017-06-25_final
2017-07-13 09:56:47	ga_ls8c_ard_3-0-0_096083_2017-07-13_final
2017-07-27 10:03:40	ga_ls8c_ard_3-0-0_098069_2017-07-27_final
2017-08-04 10:57:34	ga_ls8c_ard_3-0-0_106080_2017-08-04_final
2017-09-18 10:28:01	ga_ls8c_ard_3-0-0_101083_2017-09-18_final
2017-11-25 09:57:45	ga_ls8c_ard_3-0-0_097069_2017-11-25_final
2018-03-06 10:17:46	ga_ls8c_ard_3-0-0_100074_2018-03-06_final
2018-03-08 10:02:59	ga_ls8c_ard_3-0-0_098068_2018-03-08_final
2018-04-09 10:03:31	ga_ls8c_ard_3-0-0_098070_2018-04-09_final
2018-06-10 10:20:55	ga_ls8c_ard_3-0-0_100084_2018-06-10_final
2018-06-13 09:14:34	ga_ls8c_ard_3-0-0_089088_2018-06-12_final
2018-06-16 11:18:48	ga_ls8c_ard_3-0-0_110074_2018-06-16_final
2018-07-17 10:38:37	ga_ls8c_ard_3-0-0_103081_2018-07-17_final
2018-12-16 11:26:21	ga_ls8c_ard_3-0-0_111075_2018-12-16_final
2018-12-18 11:16:47	ga_ls8c_ard_3-0-0_109082_2018-12-18_final
2018-12-25 11:16:59	ga_ls8c_ard_3-0-0_110067_2018-12-25_final
2019-03-24 09:34:01	ga_ls8c_ard_3-1-0_093073_2019-03-24_final
2019-06-12 09:33:51	ga_ls8c_ard_3-1-0_093072_2019-06-12_final
2019-11-19 11:14:51	ga_ls8c_ard_3-1-0_109076_2019-11-19_final
2020-02-27 10:46:59	ga_ls8c_ard_3-1-0_105069_2020-02-27_final
2020-06-26 11:42:11	ga_ls8c_ard_3-1-0_113084_2020-06-26_final
2020-07-26 10:09:03	ga_ls8c_ard_3-1-0_099067_2020-07-26_final
2020-08-17 11:14:33	ga_ls8c_ard_3-1-0_109076_2020-08-17_final
2020-10-04 09:39:57	ga_ls8c_ard_3-1-0_093086_2020-10-04_final
2020-12-03 09:57:31	ga_ls8c_ard_3-1-0_097068_2020-12-03_final
2020-12-24 10:17:13	ga_ls8c_ard_3-2-0_100071_2020-12-24_final
2021-01-02 10:09:48	ga_ls8c_ard_3-2-0_099068_2021-01-02_final
2021-04-12 11:23:00	ga_ls8c_ard_3-2-0_111067_2021-04-12_final
2021-07-10 09:38:08	ga_ls8c_ard_3-2-0_094067_2021-07-10_final
2021-07-12 11:09:51	ga_ls8c_ard_3-2-0_108080_2021-07-12_final
2021-07-13 10:09:02	ga_ls8c_ard_3-2-0_099067_2021-07-13_final
2021-07-30 09:17:32	ga_ls8c_ard_3-2-0_090077_2021-07-29_final
2021-11-27 10:02:54	ga_ls8c_ard_3-2-1_098066_2021-11-27_final
2022-07-04 11:23:56	ga_ls8c_ard_3-2-1_111068_2022-07-04_final
2022-08-17 10:11:15	ga_ls8c_ard_3-2-1_099071_2022-08-17_final
2022-09-02 10:09:39	ga_ls8c_ard_3-2-1_099067_2022-09-02_final
2022-10-28 12:38:05	ga_ls8c_ard_3-2-1_123067_2022-10-28_final
2023-02-25 10:09:11	ga_ls8c_ard_3-2-1_099067_2023-02-25_final
2023-04-08 10:45:51	ga_ls8c_ard_3-2-1_105067_2023-04-08_final
2023-11-24 10:09:23	ga_ls8c_ard_3-2-1_099067_2023-11-24_final
2023-12-26 10:09:20	ga_ls8c_ard_3-2-1_099067_2023-12-26_final
2024-01-05 09:10:35	ga_ls8c_ard_3-2-1_089075_2024-01-04_final
2024-02-13 09:17:59	ga_ls8c_ard_3-2-1_090078_2024-02-12_final
2024-03-31 10:13:31	ga_ls8c_ard_3-2-1_099079_2024-03-31_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