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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

62 results

Time (local)	Label
2013-08-25 09:23:56	ga_ls8c_ard_3-0-0_090088_2013-08-24_final
2013-11-07 11:35:36	ga_ls8c_ard_3-0-0_112078_2013-11-07_final
2014-01-05 11:19:04	ga_ls8c_ard_3-0-0_109084_2014-01-05_final
2014-02-18 09:58:47	ga_ls8c_ard_3-1-0_097070_2014-02-18_final
2014-04-12 10:21:45	ga_ls8c_ard_3-0-0_100083_2014-04-12_final
2014-08-22 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-08-22_final
2014-09-04 11:03:29	ga_ls8c_ard_3-0-0_107079_2014-09-04_final
2014-09-19 10:21:49	ga_ls8c_ard_3-0-0_100083_2014-09-19_final
2014-11-21 11:13:28	ga_ls8c_ard_3-0-0_109073_2014-11-21_final
2014-12-25 09:26:58	ga_ls8c_ard_3-0-0_091085_2014-12-24_final
2015-03-07 11:50:54	ga_ls8c_ard_3-0-0_115075_2015-03-07_final
2015-04-16 09:21:28	ga_ls8c_ard_3-0-0_091073_2015-04-15_final
2015-05-29 10:43:30	ga_ls8c_ard_3-0-0_104078_2015-05-29_final
2015-06-04 10:08:30	ga_ls8c_ard_3-0-0_098083_2015-06-04_final
2015-09-03 09:51:24	ga_ls8c_ard_3-0-0_095085_2015-09-03_final
2015-12-05 10:58:31	ga_ls8c_ard_3-0-0_106082_2015-12-05_final
2016-07-21 11:13:42	ga_ls8c_ard_3-0-0_109074_2016-07-21_final
2016-08-01 09:20:42	ga_ls8c_ard_3-0-0_090085_2016-07-31_final
2016-08-11 11:29:30	ga_ls8c_ard_3-0-0_112067_2016-08-11_final
2016-08-22 11:14:39	ga_ls8c_ard_3-0-0_109076_2016-08-22_final
2016-08-26 10:46:45	ga_ls8c_ard_3-0-0_105068_2016-08-26_final
2017-01-22 09:25:59	ga_ls8c_ard_3-0-0_092067_2017-01-21_final
2017-05-27 10:36:12	ga_ls8c_ard_3-0-0_103074_2017-05-27_final
2017-09-24 11:29:52	ga_ls8c_ard_3-0-0_111083_2017-09-24_final
2018-01-19 10:07:21	ga_ls8c_ard_3-0-0_098078_2018-01-19_final
2018-02-04 10:05:36	ga_ls8c_ard_3-0-0_098074_2018-02-04_final
2018-05-26 11:00:38	ga_ls8c_ard_3-0-0_107075_2018-05-26_final
2018-05-28 09:08:58	ga_ls8c_ard_3-0-0_089074_2018-05-27_final
2018-07-01 10:36:30	ga_ls8c_ard_3-0-0_103076_2018-07-01_final
2018-07-25 11:23:19	ga_ls8c_ard_3-0-0_111069_2018-07-25_final
2018-11-24 10:27:24	ga_ls8c_ard_3-0-0_101082_2018-11-24_final
2019-01-14 10:52:38	ga_ls8c_ard_3-0-0_106068_2019-01-14_final
2019-04-18 11:06:59	ga_ls8c_ard_3-1-0_108074_2019-04-18_final
2019-05-14 10:09:41	ga_ls8c_ard_3-0-0_098085_2019-05-14_final
2019-05-25 11:26:33	ga_ls8c_ard_3-0-0_111076_2019-05-25_final
2019-06-20 10:24:32	ga_ls8c_ard_3-1-0_101075_2019-06-20_final
2019-10-18 09:40:49	ga_ls8c_ard_3-1-0_093088_2019-10-18_final
2019-12-16 10:56:16	ga_ls8c_ard_3-2-0_106076_2019-12-16_final
2020-01-11 09:56:46	ga_ls8c_ard_3-1-0_096082_2020-01-11_final
2020-02-05 11:25:45	ga_ls8c_ard_3-1-0_111073_2020-02-05_final
2020-02-23 11:13:43	ga_ls8c_ard_3-1-0_109074_2020-02-23_final
2020-04-03 10:24:45	ga_ls8c_ard_3-1-0_101076_2020-04-03_final
2020-04-09 09:44:03	ga_ls8c_ard_3-1-0_095067_2020-04-09_final
2020-05-04 11:19:44	ga_ls8c_ard_3-1-0_110075_2020-05-04_final
2020-05-19 10:39:16	ga_ls8c_ard_3-1-0_103082_2020-05-19_final
2020-07-04 10:49:36	ga_ls8c_ard_3-1-0_105076_2020-07-04_final
2020-08-05 10:49:22	ga_ls8c_ard_3-1-0_105075_2020-08-05_final
2020-12-28 09:52:29	ga_ls8c_ard_3-2-0_096071_2020-12-28_final
2021-08-11 09:41:33	ga_ls8c_ard_3-2-0_094075_2021-08-11_final
2021-08-31 09:21:19	ga_ls8c_ard_3-2-0_090086_2021-08-30_final
2021-10-16 11:07:58	ga_ls8c_ard_3-2-0_108074_2021-10-16_final
2021-11-27 10:10:05	ga_ls8c_ard_3-2-0_098084_2021-11-27_final
2022-01-05 10:10:10	ga_ls8c_ard_3-2-1_099069_2022-01-05_final
2022-02-13 10:21:47	ga_ls8c_ard_3-2-1_100083_2022-02-13_final
2022-03-23 09:40:04	ga_ls8c_ard_3-2-1_094072_2022-03-23_final
2022-03-30 09:46:32	ga_ls8c_ard_3-2-1_095073_2022-03-30_final
2022-04-17 09:39:04	ga_ls8c_ard_3-2-1_093085_2022-04-17_final
2022-05-04 10:17:08	ga_ls8c_ard_3-2-1_100072_2022-05-04_final
2022-05-05 09:25:55	ga_ls8c_ard_3-2-1_091083_2022-05-04_final
2022-12-16 10:03:02	ga_ls8c_ard_3-2-1_098066_2022-12-16_final
2024-03-06 10:19:35	ga_ls8c_ard_3-2-1_100078_2024-03-06_final
2024-03-21 09:38:35	ga_ls8c_ard_3-2-1_093084_2024-03-21_nrt

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