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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

63 results

Time (local)	Label
2013-04-01 10:12:02	ga_ls8c_ard_3-0-0_099078_2013-04-01_final
2013-05-22 11:39:41	ga_ls8c_ard_3-0-0_113072_2013-05-22_final
2013-11-15 09:08:50	ga_ls8c_ard_3-0-0_088082_2013-11-14_final
2013-12-31 10:53:48	ga_ls8c_ard_3-0-0_106067_2013-12-31_final
2014-04-05 10:13:42	ga_ls8c_ard_3-0-0_099078_2014-04-05_final
2014-06-19 09:57:05	ga_ls8c_ard_3-0-0_096084_2014-06-19_final
2014-06-28 09:51:19	ga_ls8c_ard_3-0-0_095085_2014-06-28_final
2014-08-11 11:52:03	ga_ls8c_ard_3-0-0_115077_2014-08-11_final
2015-01-02 10:09:57	ga_ls8c_ard_3-0-0_099069_2015-01-02_final
2015-03-28 10:32:44	ga_ls8c_ard_3-0-0_102081_2015-03-28_final
2015-05-29 10:45:05	ga_ls8c_ard_3-0-0_104082_2015-05-29_final
2015-08-07 10:08:57	ga_ls8c_ard_3-0-0_098083_2015-08-07_final
2015-08-09 11:31:07	ga_ls8c_ard_3-0-0_112072_2015-08-09_final
2016-01-21 10:15:12	ga_ls8c_ard_3-0-0_099082_2016-01-21_final
2016-07-14 09:27:48	ga_ls8c_ard_3-0-0_092072_2016-07-13_final
2016-09-03 10:03:45	ga_ls8c_ard_3-0-0_097084_2016-09-03_final
2016-09-05 09:52:36	ga_ls8c_ard_3-0-0_095087_2016-09-05_final
2016-09-21 11:24:44	ga_ls8c_ard_3-0-0_111070_2016-09-21_final
2017-01-24 10:54:29	ga_ls8c_ard_3-0-0_106072_2017-01-24_final
2017-03-13 09:16:51	ga_ls8c_ard_3-0-0_090076_2017-03-12_final
2017-03-20 10:59:26	ga_ls8c_ard_3-0-0_107070_2017-03-20_final
2017-06-10 10:46:41	ga_ls8c_ard_3-0-0_105069_2017-06-10_final
2017-09-21 09:17:40	ga_ls8c_ard_3-0-0_090077_2017-09-20_final
2017-11-18 09:57:36	ga_ls8c_ard_3-0-0_096084_2017-11-18_final
2018-02-27 10:12:50	ga_ls8c_ard_3-0-0_099077_2018-02-27_final
2018-03-09 09:10:57	ga_ls8c_ard_3-0-0_089077_2018-03-08_final
2018-04-13 09:39:10	ga_ls8c_ard_3-0-0_094071_2018-04-13_final
2018-05-08 09:39:31	ga_ls8c_ard_3-0-0_093088_2018-05-08_final
2018-11-16 11:12:04	ga_ls8c_ard_3-0-0_109070_2018-11-16_final
2019-03-26 09:24:26	ga_ls8c_ard_3-1-0_091080_2019-03-25_final
2019-07-24 11:52:24	ga_ls8c_ard_3-1-0_115078_2019-07-24_final
2019-12-24 10:09:36	ga_ls8c_ard_3-1-0_098083_2019-12-24_final
2020-01-20 09:51:21	ga_ls8c_ard_3-1-0_095084_2020-01-20_final
2020-02-01 10:10:49	ga_ls8c_ard_3-1-0_099071_2020-02-01_final
2020-02-26 10:09:19	ga_ls8c_ard_3-1-0_098083_2020-02-26_final
2020-02-29 10:39:24	ga_ls8c_ard_3-1-0_103081_2020-02-29_final
2021-02-04 09:17:37	ga_ls8c_ard_3-2-0_090077_2021-02-03_final
2021-03-15 11:00:01	ga_ls8c_ard_3-2-0_107071_2021-03-15_final
2021-04-14 09:33:21	ga_ls8c_ard_3-2-0_093071_2021-04-14_final
2021-04-16 09:28:33	ga_ls8c_ard_3-2-0_091090_2021-04-15_final
2021-06-21 09:15:34	ga_ls8c_ard_3-2-0_089088_2021-06-20_final
2021-06-21 10:52:27	ga_ls8c_ard_3-2-0_105083_2021-06-21_final
2021-07-14 09:19:48	ga_ls8c_ard_3-2-0_090083_2021-07-13_final
2021-12-14 09:12:04	ga_ls8c_ard_3-2-1_089078_2021-12-13_final
2022-06-09 09:57:29	ga_ls8c_ard_3-2-1_096084_2022-06-09_final
2022-06-18 11:29:52	ga_ls8c_ard_3-2-1_111083_2022-06-18_final
2022-09-04 11:42:11	ga_ls8c_ard_3-2-1_113082_2022-09-04_final
2023-03-06 10:09:21	ga_ls8c_ard_3-2-1_098083_2023-03-06_final
2023-04-13 11:06:18	ga_ls8c_ard_3-2-1_108072_2023-04-13_final
2023-04-26 10:38:57	ga_ls8c_ard_3-2-1_103081_2023-04-26_final
2023-05-06 09:38:39	ga_ls8c_ard_3-2-1_093085_2023-05-06_final
2023-06-03 09:56:30	ga_ls8c_ard_3-2-1_097068_2023-06-03_final
2023-09-18 09:39:54	ga_ls8c_ard_3-2-1_094071_2023-09-18_final
2023-10-02 09:51:55	ga_ls8c_ard_3-2-1_096070_2023-10-02_final
2023-11-19 11:31:42	ga_ls8c_ard_3-2-1_112072_2023-11-19_final
2023-11-21 09:40:52	ga_ls8c_ard_3-2-1_094073_2023-11-21_final
2023-12-14 11:24:16	ga_ls8c_ard_3-2-1_111069_2023-12-14_final
2024-01-24 11:19:33	ga_ls8c_ard_3-2-1_110073_2024-01-24_final
2024-01-24 11:19:33	ga_ls8c_ard_3-2-1_110073_2024-01-24_nrt
2024-01-28 09:17:07	ga_ls8c_ard_3-2-1_090076_2024-01-27_final
2024-02-16 11:28:56	ga_ls8c_ard_3-2-1_111081_2024-02-16_final
2024-02-29 09:16:41	ga_ls8c_ard_3-2-1_090075_2024-02-28_final
2024-02-29 09:21:05	ga_ls8c_ard_3-2-1_090086_2024-02-28_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