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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

70 results

Time (local)	Label
2013-04-27 10:09:05	ga_ls8c_ard_3-0-0_098078_2013-04-27_final
2013-06-21 10:11:26	ga_ls8c_ard_3-0-0_099068_2013-06-21_final
2013-12-30 10:11:44	ga_ls8c_ard_3-0-0_099070_2013-12-30_final
2014-01-16 09:21:50	ga_ls8c_ard_3-0-0_090085_2014-01-15_final
2014-01-31 10:11:48	ga_ls8c_ard_3-0-0_099071_2014-01-31_final
2014-03-11 10:21:03	ga_ls8c_ard_3-0-0_100080_2014-03-11_final
2014-04-05 10:10:06	ga_ls8c_ard_3-0-0_099069_2014-04-05_final
2014-09-20 09:22:12	ga_ls8c_ard_3-0-0_091073_2014-09-19_final
2015-08-17 10:42:57	ga_ls8c_ard_3-0-0_104075_2015-08-17_final
2015-10-23 11:12:36	ga_ls8c_ard_3-0-0_109071_2015-10-23_final
2015-12-29 11:45:57	ga_ls8c_ard_3-0-0_114077_2015-12-29_final
2015-12-31 11:35:58	ga_ls8c_ard_3-0-0_112083_2015-12-31_final
2016-03-13 11:29:55	ga_ls8c_ard_3-0-0_111084_2016-03-13_final
2016-03-23 10:22:51	ga_ls8c_ard_3-0-0_101071_2016-03-23_final
2016-05-03 10:16:32	ga_ls8c_ard_3-0-0_100071_2016-05-03_final
2017-01-01 09:11:57	ga_ls8c_ard_3-0-0_089078_2016-12-31_final
2017-02-06 10:25:05	ga_ls8c_ard_3-0-0_101076_2017-02-06_final
2017-06-24 11:03:31	ga_ls8c_ard_3-0-0_107080_2017-06-24_final
2017-08-12 10:04:11	ga_ls8c_ard_3-0-0_098070_2017-08-12_final
2017-11-29 11:13:04	ga_ls8c_ard_3-0-0_109072_2017-11-29_final
2018-01-02 09:21:50	ga_ls8c_ard_3-0-0_091072_2018-01-01_final
2018-01-05 09:52:19	ga_ls8c_ard_3-0-0_096071_2018-01-05_final
2018-01-10 10:14:01	ga_ls8c_ard_3-0-0_099079_2018-01-10_final
2018-01-10 11:52:06	ga_ls8c_ard_3-0-0_115077_2018-01-10_final
2018-03-03 09:46:29	ga_ls8c_ard_3-0-0_095073_2018-03-03_final
2018-03-12 11:19:30	ga_ls8c_ard_3-0-0_110074_2018-03-12_final
2018-04-09 10:09:07	ga_ls8c_ard_3-0-0_098084_2018-04-09_final
2018-04-18 09:57:15	ga_ls8c_ard_3-0-0_097070_2018-04-18_final
2018-06-11 09:27:19	ga_ls8c_ard_3-0-0_091089_2018-06-10_final
2018-06-13 10:48:16	ga_ls8c_ard_3-0-0_105075_2018-06-13_final
2018-09-05 10:26:15	ga_ls8c_ard_3-0-0_101080_2018-09-05_final
2018-11-07 11:17:02	ga_ls8c_ard_3-0-0_110067_2018-11-07_final
2018-11-10 11:51:56	ga_ls8c_ard_3-0-0_115077_2018-11-10_final
2019-01-27 10:27:40	ga_ls8c_ard_3-0-0_101083_2019-01-27_final
2019-02-16 09:57:18	ga_ls8c_ard_3-0-0_097069_2019-02-16_final
2019-05-14 10:06:54	ga_ls8c_ard_3-0-0_098078_2019-05-14_final
2019-05-15 09:10:05	ga_ls8c_ard_3-0-0_089075_2019-05-14_final
2019-06-06 10:13:41	ga_ls8c_ard_3-0-0_099079_2019-06-06_final
2019-08-05 10:37:31	ga_ls8c_ard_3-1-0_103076_2019-08-05_final
2019-09-10 10:14:09	ga_ls8c_ard_3-1-0_099079_2019-09-10_final
2019-11-01 11:30:04	ga_ls8c_ard_3-1-0_111083_2019-11-01_final
2019-11-09 10:38:13	ga_ls8c_ard_3-1-0_103077_2019-11-09_final
2019-11-30 10:53:54	ga_ls8c_ard_3-1-0_106070_2019-11-30_final
2020-01-06 09:35:27	ga_ls8c_ard_3-1-0_093075_2020-01-06_final
2020-03-25 10:33:01	ga_ls8c_ard_3-1-0_102081_2020-03-25_final
2020-06-28 09:47:21	ga_ls8c_ard_3-1-0_095075_2020-06-28_final
2020-08-11 10:15:53	ga_ls8c_ard_3-1-0_099084_2020-08-11_final
2020-08-21 09:11:47	ga_ls8c_ard_3-1-0_089078_2020-08-20_final
2020-08-31 11:25:50	ga_ls8c_ard_3-1-0_111073_2020-08-31_final
2020-09-22 09:10:24	ga_ls8c_ard_3-1-0_089074_2020-09-21_final
2021-02-16 11:17:11	ga_ls8c_ard_3-2-0_110067_2021-02-16_final
2021-04-24 11:50:49	ga_ls8c_ard_3-2-0_115075_2021-04-24_final
2021-06-30 10:45:54	ga_ls8c_ard_3-2-0_104082_2021-06-30_final
2021-07-24 11:31:27	ga_ls8c_ard_3-2-0_112072_2021-07-24_final
2021-08-11 11:19:14	ga_ls8c_ard_3-2-0_110072_2021-08-11_final
2021-10-06 10:30:27	ga_ls8c_ard_3-2-0_102073_2021-10-06_final
2021-10-08 10:19:18	ga_ls8c_ard_3-2-0_100076_2021-10-08_final
2021-12-03 09:29:49	ga_ls8c_ard_3-2-0_092076_2021-12-02_final
2022-01-21 10:11:19	ga_ls8c_ard_3-2-1_099072_2022-01-21_final
2022-02-16 10:47:05	ga_ls8c_ard_3-2-1_105069_2022-02-16_final
2022-03-03 10:07:21	ga_ls8c_ard_3-2-1_098078_2022-03-03_final
2022-07-08 09:21:55	ga_ls8c_ard_3-2-1_091072_2022-07-07_final
2023-01-16 09:28:22	ga_ls8c_ard_3-2-1_091088_2023-01-15_final
2023-05-10 10:45:57	ga_ls8c_ard_3-2-1_105068_2023-05-10_final
2023-06-01 10:09:14	ga_ls8c_ard_3-2-1_099069_2023-06-01_final
2023-09-23 10:03:37	ga_ls8c_ard_3-2-1_097084_2023-09-23_final
2023-10-13 09:35:24	ga_ls8c_ard_3-2-1_093075_2023-10-13_final
2023-10-22 11:10:30	ga_ls8c_ard_3-2-1_108081_2023-10-22_final
2023-12-14 11:26:16	ga_ls8c_ard_3-2-1_111074_2023-12-14_final
2024-03-30 09:28:40	ga_ls8c_ard_3-2-1_092075_2024-03-29_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