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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

51 results

Time (local)	Label
2013-04-09 10:29:34	ga_ls8c_ard_3-0-0_101082_2013-04-09_final
2013-05-06 11:43:52	ga_ls8c_ard_3-0-0_113083_2013-05-06_final
2013-05-13 11:48:58	ga_ls8c_ard_3-0-0_114080_2013-05-13_final
2013-08-02 09:15:19	ga_ls8c_ard_3-0-0_089082_2013-08-01_final
2013-09-09 10:17:32	ga_ls8c_ard_3-0-0_099083_2013-09-09_final
2014-02-04 11:24:19	ga_ls8c_ard_3-0-0_111067_2014-02-04_final
2014-09-11 09:34:24	ga_ls8c_ard_3-0-0_092088_2014-09-11_final
2015-03-13 09:39:38	ga_ls8c_ard_3-0-0_093087_2015-03-13_final
2015-03-27 09:43:54	ga_ls8c_ard_3-0-0_095067_2015-03-27_final
2015-05-17 10:18:19	ga_ls8c_ard_3-0-0_100077_2015-05-17_final
2015-11-14 10:37:33	ga_ls8c_ard_3-0-0_103076_2015-11-14_final
2015-11-25 10:17:27	ga_ls8c_ard_3-0-0_100072_2015-11-25_final
2016-02-10 09:46:48	ga_ls8c_ard_3-0-0_095073_2016-02-10_final
2016-03-10 09:20:33	ga_ls8c_ard_3-0-0_090085_2016-03-09_final
2016-05-12 10:10:39	ga_ls8c_ard_3-0-0_099072_2016-05-12_final
2016-08-29 11:19:16	ga_ls8c_ard_3-0-0_110072_2016-08-29_final
2016-09-21 11:26:19	ga_ls8c_ard_3-0-0_111074_2016-09-21_final
2017-01-07 10:15:42	ga_ls8c_ard_3-0-0_099083_2017-01-07_final
2017-01-21 10:23:37	ga_ls8c_ard_3-0-0_101072_2017-01-21_final
2017-03-28 10:08:44	ga_ls8c_ard_3-0-0_099067_2017-03-28_final
2017-05-21 09:39:08	ga_ls8c_ard_3-0-0_093086_2017-05-21_final
2017-06-10 10:49:04	ga_ls8c_ard_3-0-0_105075_2017-06-10_final
2017-06-16 10:10:50	ga_ls8c_ard_3-0-0_099072_2017-06-16_final
2018-03-29 10:26:57	ga_ls8c_ard_3-0-0_101082_2018-03-29_final
2018-04-04 09:46:37	ga_ls8c_ard_3-0-0_095074_2018-04-04_final
2018-07-11 11:12:52	ga_ls8c_ard_3-0-0_109074_2018-07-11_final
2018-08-10 11:22:41	ga_ls8c_ard_3-0-0_111067_2018-08-10_final
2018-09-12 10:28:53	ga_ls8c_ard_3-0-0_102071_2018-09-12_final
2019-03-18 10:09:31	ga_ls8c_ard_3-1-0_099069_2019-03-18_final
2019-03-23 10:28:27	ga_ls8c_ard_3-1-0_102070_2019-03-23_final
2019-05-03 10:26:31	ga_ls8c_ard_3-0-0_101081_2019-05-03_final
2019-10-03 10:18:52	ga_ls8c_ard_3-1-0_100075_2019-10-03_final
2019-10-07 09:53:45	ga_ls8c_ard_3-1-0_096074_2019-10-07_final
2019-12-22 10:21:34	ga_ls8c_ard_3-1-0_100082_2019-12-22_final
2020-03-04 10:11:04	ga_ls8c_ard_3-1-0_099072_2020-03-04_final
2020-04-20 09:31:25	ga_ls8c_ard_3-1-0_092082_2020-04-20_final
2020-06-26 11:35:24	ga_ls8c_ard_3-1-0_113067_2020-06-26_final
2020-08-28 10:55:42	ga_ls8c_ard_3-1-0_106075_2020-08-28_final
2020-09-30 11:42:21	ga_ls8c_ard_3-1-0_113083_2020-09-30_final
2020-10-07 10:03:17	ga_ls8c_ard_3-1-0_098067_2020-10-07_final
2020-10-31 09:21:25	ga_ls8c_ard_3-1-0_090086_2020-10-30_final
2021-05-06 10:38:55	ga_ls8c_ard_3-2-0_103081_2021-05-06_final
2021-08-06 09:28:58	ga_ls8c_ard_3-2-0_091090_2021-08-05_final
2022-01-25 11:27:02	ga_ls8c_ard_3-2-1_111076_2022-01-25_final
2022-07-04 11:24:44	ga_ls8c_ard_3-2-1_111070_2022-07-04_final
2023-02-05 10:34:37	ga_ls8c_ard_3-2-1_103068_2023-02-05_final
2023-05-12 10:39:08	ga_ls8c_ard_3-2-1_103082_2023-05-12_final
2023-08-16 10:39:22	ga_ls8c_ard_3-2-1_103081_2023-08-16_final
2024-01-20 10:03:51	ga_ls8c_ard_3-2-1_098069_2024-01-20_final
2024-03-09 10:46:52	ga_ls8c_ard_3-2-1_105069_2024-03-09_final
2024-03-23 09:21:48	ga_ls8c_ard_3-2-1_091073_2024-03-22_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