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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

61 results

Time (local)	Label
2013-03-26 09:35:18	ga_ls8c_ard_3-0-0_093072_2013-03-26_final
2013-05-13 10:09:41	ga_ls8c_ard_3-0-0_098079_2013-05-13_final
2014-02-23 10:18:04	ga_ls8c_ard_3-0-0_100072_2014-02-23_final
2014-04-21 10:15:25	ga_ls8c_ard_3-0-0_099083_2014-04-21_final
2014-11-29 10:26:04	ga_ls8c_ard_3-0-0_101078_2014-11-29_final
2015-04-05 09:37:36	ga_ls8c_ard_3-0-0_094067_2015-04-05_final
2015-06-14 09:06:01	ga_ls8c_ard_3-1-0_088081_2015-06-13_final
2015-08-23 10:03:07	ga_ls8c_ard_3-0-0_098068_2015-08-23_final
2015-10-05 11:24:07	ga_ls8c_ard_3-0-0_111069_2015-10-05_final
2016-01-06 09:22:45	ga_ls8c_ard_3-0-0_090090_2016-01-05_final
2016-01-25 11:24:34	ga_ls8c_ard_3-0-0_111070_2016-01-25_final
2016-01-31 10:47:28	ga_ls8c_ard_3-0-0_105070_2016-01-31_final
2016-04-17 10:21:40	ga_ls8c_ard_3-0-0_100084_2016-04-17_final
2016-05-06 09:10:55	ga_ls8c_ard_3-0-0_089077_2016-05-05_final
2016-06-03 11:14:12	ga_ls8c_ard_3-0-0_109076_2016-06-03_final
2016-06-12 09:33:09	ga_ls8c_ard_3-0-0_092086_2016-06-12_final
2016-07-28 09:38:14	ga_ls8c_ard_3-0-0_094067_2016-07-28_final
2016-08-29 09:38:24	ga_ls8c_ard_3-0-0_094067_2016-08-29_final
2016-10-25 09:32:24	ga_ls8c_ard_3-0-0_093067_2016-10-25_final
2016-11-28 09:24:25	ga_ls8c_ard_3-0-0_091078_2016-11-27_final
2017-02-10 11:41:12	ga_ls8c_ard_3-0-0_113081_2017-02-10_final
2017-03-16 11:24:12	ga_ls8c_ard_3-0-0_111070_2017-03-16_final
2017-05-05 09:34:08	ga_ls8c_ard_3-0-0_093074_2017-05-05_final
2017-10-31 11:42:08	ga_ls8c_ard_3-0-0_114067_2017-10-31_final
2017-12-25 10:10:55	ga_ls8c_ard_3-0-0_099071_2017-12-25_final
2018-09-29 11:13:27	ga_ls8c_ard_3-0-0_109074_2018-09-29_final
2019-04-09 09:31:57	ga_ls8c_ard_3-1-0_093068_2019-04-09_final
2019-05-12 10:18:26	ga_ls8c_ard_3-0-0_100076_2019-05-12_final
2019-06-10 09:46:12	ga_ls8c_ard_3-0-0_095072_2019-06-10_final
2019-06-19 09:38:05	ga_ls8c_ard_3-1-0_094067_2019-06-19_final
2019-07-05 11:17:50	ga_ls8c_ard_3-1-0_110069_2019-07-05_final
2020-02-14 11:17:09	ga_ls8c_ard_3-1-0_110067_2020-02-14_final
2020-02-21 11:26:06	ga_ls8c_ard_3-1-0_111074_2020-02-21_final
2020-04-27 11:16:49	ga_ls8c_ard_3-1-0_109083_2020-04-27_final
2020-05-19 10:39:16	ga_ls8c_ard_3-1-0_103082_2020-05-19_final
2020-08-20 11:46:17	ga_ls8c_ard_3-1-0_114078_2020-08-20_final
2020-08-24 09:45:54	ga_ls8c_ard_3-1-0_094086_2020-08-24_final
2020-10-31 09:21:25	ga_ls8c_ard_3-1-0_090086_2020-10-30_final
2021-01-05 10:42:41	ga_ls8c_ard_3-2-0_104073_2021-01-05_final
2021-02-11 09:22:59	ga_ls8c_ard_3-2-0_091075_2021-02-10_final
2021-05-02 09:25:12	ga_ls8c_ard_3-2-0_091082_2021-05-01_final
2021-06-16 10:33:06	ga_ls8c_ard_3-2-0_102081_2021-06-16_final
2021-06-21 09:10:23	ga_ls8c_ard_3-2-0_089075_2021-06-20_final
2021-07-01 11:25:59	ga_ls8c_ard_3-2-0_111074_2021-07-01_final
2021-07-27 10:27:29	ga_ls8c_ard_3-2-0_101082_2021-07-27_final
2021-08-09 11:30:23	ga_ls8c_ard_3-2-0_112069_2021-08-09_final
2022-03-21 09:57:14	ga_ls8c_ard_3-2-1_096084_2022-03-21_final
2022-05-01 11:25:28	ga_ls8c_ard_3-2-1_111073_2022-05-01_final
2022-05-04 11:57:13	ga_ls8c_ard_3-2-1_116075_2022-05-04_final
2022-05-04 11:57:37	ga_ls8c_ard_3-2-1_116076_2022-05-04_final
2022-06-08 10:46:18	ga_ls8c_ard_3-2-1_105067_2022-06-08_final
2022-06-11 09:45:56	ga_ls8c_ard_3-2-1_094086_2022-06-11_final
2022-12-07 10:16:04	ga_ls8c_ard_3-2-1_099083_2022-12-07_final
2022-12-28 10:31:40	ga_ls8c_ard_3-2-1_102076_2022-12-28_final
2023-03-06 10:09:45	ga_ls8c_ard_3-2-1_098084_2023-03-06_final
2023-05-15 11:07:13	ga_ls8c_ard_3-2-1_108075_2023-05-15_final
2023-06-07 11:13:31	ga_ls8c_ard_3-2-1_109075_2023-06-07_final
2023-09-03 10:27:28	ga_ls8c_ard_3-2-1_101082_2023-09-03_final
2023-09-16 11:36:19	ga_ls8c_ard_3-2-1_112084_2023-09-16_final
2023-09-29 09:22:36	ga_ls8c_ard_3-2-1_091074_2023-09-28_final
2024-02-05 10:09:50	ga_ls8c_ard_3-2-1_098084_2024-02-05_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