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

59 results

Time (local)	Label
2013-06-04 11:11:59	ga_ls8c_ard_3-0-0_108080_2013-06-04_final
2013-07-05 10:25:04	ga_ls8c_ard_3-0-0_101071_2013-07-05_final
2013-12-30 10:15:20	ga_ls8c_ard_3-0-0_099079_2013-12-30_final
2014-01-31 11:53:53	ga_ls8c_ard_3-0-0_115079_2014-01-31_final
2014-06-14 09:39:44	ga_ls8c_ard_3-0-0_093087_2014-06-14_final
2014-07-09 09:32:06	ga_ls8c_ard_3-0-0_092083_2014-07-09_final
2014-08-01 11:14:29	ga_ls8c_ard_3-0-0_109076_2014-08-01_final
2014-08-03 09:22:04	ga_ls8c_ard_3-0-0_091073_2014-08-02_final
2014-10-19 10:33:54	ga_ls8c_ard_3-0-0_102082_2014-10-19_final
2015-01-10 09:20:08	ga_ls8c_ard_3-0-0_091068_2015-01-09_final
2015-01-29 11:32:13	ga_ls8c_ard_3-0-0_112074_2015-01-29_final
2015-06-12 09:21:33	ga_ls8c_ard_3-0-0_090089_2015-06-11_final
2016-01-02 11:18:25	ga_ls8c_ard_3-0-0_110070_2016-01-02_final
2016-01-16 09:51:28	ga_ls8c_ard_3-0-0_096069_2016-01-16_final
2016-03-15 11:14:21	ga_ls8c_ard_3-0-0_109076_2016-03-15_final
2016-05-30 09:56:49	ga_ls8c_ard_3-0-0_097068_2016-05-30_final
2016-07-12 09:46:08	ga_ls8c_ard_3-0-0_094087_2016-07-12_final
2016-10-25 09:32:24	ga_ls8c_ard_3-0-0_093067_2016-10-25_final
2016-11-07 10:46:21	ga_ls8c_ard_3-0-0_104082_2016-11-07_final
2016-11-13 10:05:16	ga_ls8c_ard_3-0-0_098072_2016-11-13_final
2016-12-06 11:51:55	ga_ls8c_ard_3-0-0_115076_2016-12-06_final
2017-04-28 11:04:51	ga_ls8c_ard_3-0-0_108069_2017-04-28_final
2017-07-18 11:52:15	ga_ls8c_ard_3-0-0_115078_2017-07-18_final
2017-09-16 10:39:33	ga_ls8c_ard_3-0-0_103081_2017-09-16_final
2017-11-23 10:15:43	ga_ls8c_ard_3-0-0_099083_2017-11-23_final
2018-02-11 10:10:33	ga_ls8c_ard_3-0-0_099071_2018-02-11_final
2018-04-08 09:27:27	ga_ls8c_ard_3-0-0_091088_2018-04-07_final
2018-05-17 09:32:50	ga_ls8c_ard_3-0-0_092087_2018-05-17_final
2018-07-16 11:34:14	ga_ls8c_ard_3-0-0_112081_2018-07-16_final
2018-08-25 09:06:14	ga_ls8c_ard_3-1-0_088081_2018-08-24_final
2018-12-12 11:51:05	ga_ls8c_ard_3-0-0_115075_2018-12-12_final
2019-01-26 11:16:54	ga_ls8c_ard_3-0-0_110067_2019-01-26_final
2019-02-20 11:13:51	ga_ls8c_ard_3-0-0_109075_2019-02-20_final
2019-03-08 09:39:40	ga_ls8c_ard_3-1-0_093087_2019-03-08_final
2019-04-12 11:45:42	ga_ls8c_ard_3-1-0_114078_2019-04-12_final
2019-06-10 09:46:12	ga_ls8c_ard_3-0-0_095072_2019-06-10_final
2020-02-21 11:28:29	ga_ls8c_ard_3-1-0_111080_2020-02-21_final
2020-03-30 10:48:43	ga_ls8c_ard_3-1-0_105074_2020-03-30_final
2020-04-29 10:59:39	ga_ls8c_ard_3-1-0_107071_2020-04-29_final
2020-06-09 09:21:28	ga_ls8c_ard_3-1-0_090088_2020-06-08_final
2020-08-21 10:49:04	ga_ls8c_ard_3-1-0_105074_2020-08-21_final
2020-12-07 09:34:24	ga_ls8c_ard_3-1-0_093072_2020-12-07_final
2021-07-10 11:22:36	ga_ls8c_ard_3-2-0_110081_2021-07-10_final
2021-08-25 11:31:39	ga_ls8c_ard_3-2-0_112072_2021-08-25_final
2021-11-03 10:52:49	ga_ls8c_ard_3-2-0_106067_2021-11-03_final
2022-03-27 10:55:22	ga_ls8c_ard_3-2-1_106075_2022-03-27_final
2022-06-30 10:10:34	ga_ls8c_ard_3-2-1_099070_2022-06-30_final
2022-10-20 10:13:41	ga_ls8c_ard_3-2-1_099077_2022-10-20_final
2022-10-24 11:24:42	ga_ls8c_ard_3-2-1_111069_2022-10-24_final
2022-10-24 11:25:06	ga_ls8c_ard_3-2-1_111070_2022-10-24_final
2022-12-21 10:26:17	ga_ls8c_ard_3-2-1_101078_2022-12-21_final
2023-01-05 09:43:02	ga_ls8c_ard_3-2-1_094078_2023-01-05_final
2023-02-28 10:43:17	ga_ls8c_ard_3-2-1_104075_2023-02-28_final
2023-03-04 10:19:20	ga_ls8c_ard_3-2-1_100077_2023-03-04_final
2023-07-09 11:17:24	ga_ls8c_ard_3-2-1_109084_2023-07-09_final
2023-09-08 10:42:24	ga_ls8c_ard_3-2-1_104073_2023-09-08_final
2023-12-26 10:09:44	ga_ls8c_ard_3-2-1_099068_2023-12-26_final
2024-01-02 10:19:25	ga_ls8c_ard_3-2-1_100077_2024-01-02_final
2024-03-28 09:39:49	ga_ls8c_ard_3-2-1_094072_2024-03-28_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years