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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
2013-06-03 10:29:31	ga_ls8c_ard_3-0-0_101082_2013-06-03_final
2013-06-13 09:27:40	ga_ls8c_ard_3-0-0_091082_2013-06-12_final
2013-08-25 09:18:45	ga_ls8c_ard_3-0-0_090075_2013-08-24_final
2013-08-31 10:21:21	ga_ls8c_ard_3-0-0_100077_2013-08-31_final
2013-10-12 09:23:22	ga_ls8c_ard_3-0-0_090087_2013-10-11_final
2013-11-06 10:53:56	ga_ls8c_ard_3-0-0_105082_2013-11-06_final
2013-11-23 09:59:45	ga_ls8c_ard_3-0-0_096086_2013-11-23_final
2014-01-16 09:18:15	ga_ls8c_ard_3-0-0_090076_2014-01-15_final
2014-06-05 11:18:45	ga_ls8c_ard_3-0-0_110072_2014-06-05_final
2014-06-23 09:28:22	ga_ls8c_ard_3-1-0_092074_2014-06-22_final
2014-08-10 09:28:42	ga_ls8c_ard_3-0-0_092074_2014-08-09_final
2014-10-29 09:28:50	ga_ls8c_ard_3-0-0_092074_2014-10-28_final
2014-11-20 10:33:49	ga_ls8c_ard_3-0-0_102082_2014-11-20_final
2015-11-12 09:10:13	ga_ls8c_ard_3-0-0_089074_2015-11-11_final
2015-11-29 09:52:20	ga_ls8c_ard_3-0-0_096071_2015-11-29_final
2016-03-13 09:45:51	ga_ls8c_ard_3-0-0_095071_2016-03-13_final
2016-04-14 09:45:12	ga_ls8c_ard_3-0-0_095070_2016-04-14_final
2016-05-24 10:39:27	ga_ls8c_ard_3-0-0_103082_2016-05-24_final
2016-07-24 10:10:08	ga_ls8c_ard_3-0-0_098085_2016-07-24_final
2016-07-30 09:28:40	ga_ls8c_ard_3-0-0_092074_2016-07-29_final
2016-11-11 10:17:14	ga_ls8c_ard_3-0-0_100071_2016-11-11_final
2016-12-31 10:04:22	ga_ls8c_ard_3-0-0_098070_2016-12-31_final
2017-02-03 11:30:42	ga_ls8c_ard_3-0-0_112070_2017-02-03_final
2017-10-15 11:42:07	ga_ls8c_ard_3-0-0_114067_2017-10-15_final
2018-01-09 09:28:46	ga_ls8c_ard_3-0-0_092074_2018-01-08_final
2018-03-16 10:55:08	ga_ls8c_ard_3-0-0_106075_2018-03-16_final
2019-03-29 09:52:08	ga_ls8c_ard_3-1-0_096072_2019-03-29_final
2019-05-22 09:16:44	ga_ls8c_ard_3-0-0_090076_2019-05-21_final
2019-08-08 09:28:45	ga_ls8c_ard_3-1-0_092074_2019-08-07_final
2019-08-19 10:52:21	ga_ls8c_ard_3-1-0_105082_2019-08-19_final
2019-11-12 09:29:01	ga_ls8c_ard_3-1-0_092074_2019-11-11_final
2020-03-10 09:35:32	ga_ls8c_ard_3-1-0_093076_2020-03-10_final
2020-04-02 09:45:06	ga_ls8c_ard_3-1-0_094085_2020-04-02_final
2020-04-22 09:16:39	ga_ls8c_ard_3-1-0_090076_2020-04-21_final
2021-01-02 10:13:48	ga_ls8c_ard_3-2-0_099078_2021-01-02_final
2021-02-04 10:52:55	ga_ls8c_ard_3-2-0_106068_2021-02-04_final
2021-02-07 11:23:24	ga_ls8c_ard_3-2-0_111067_2021-02-07_final
2021-02-08 10:28:35	ga_ls8c_ard_3-2-0_102069_2021-02-08_final
2021-03-06 09:28:36	ga_ls8c_ard_3-2-0_092074_2021-03-05_final
2021-04-12 09:45:19	ga_ls8c_ard_3-2-0_095070_2021-04-12_final
2021-05-25 09:28:21	ga_ls8c_ard_3-2-0_092074_2021-05-24_final
2021-05-26 10:08:25	ga_ls8c_ard_3-2-1_099066_2021-05-26_final
2021-06-24 11:22:34	ga_ls8c_ard_3-2-0_110081_2021-06-24_final
2021-07-21 11:05:19	ga_ls8c_ard_3-2-0_107084_2021-07-21_final
2021-08-23 10:09:55	ga_ls8c_ard_3-2-0_098084_2021-08-23_final
2021-09-19 09:45:54	ga_ls8c_ard_3-2-0_095070_2021-09-19_final
2021-09-23 09:25:10	ga_ls8c_ard_3-2-0_091080_2021-09-22_final
2022-02-01 09:52:19	ga_ls8c_ard_3-2-1_096071_2022-02-01_final
2022-02-12 09:39:20	ga_ls8c_ard_3-2-1_093085_2022-02-12_final
2022-05-14 09:17:01	ga_ls8c_ard_3-2-1_090076_2022-05-13_final
2022-07-15 09:28:53	ga_ls8c_ard_3-2-1_092074_2022-07-14_final
2022-10-02 10:24:31	ga_ls8c_ard_3-2-1_101073_2022-10-02_final
2022-10-28 11:02:48	ga_ls8c_ard_3-2-1_107076_2022-10-28_final
2023-01-19 11:34:09	ga_ls8c_ard_3-2-1_112078_2023-01-19_final
2023-07-16 11:20:25	ga_ls8c_ard_3-2-1_110076_2023-07-16_final
2023-09-27 09:33:45	ga_ls8c_ard_3-2-1_093071_2023-09-27_final
2023-10-25 11:37:50	ga_ls8c_ard_3-2-1_113072_2023-10-25_final
2023-11-30 09:34:15	ga_ls8c_ard_3-2-1_093072_2023-11-30_final
2024-02-22 10:47:28	ga_ls8c_ard_3-2-1_105070_2024-02-22_final
2024-02-25 11:23:56	ga_ls8c_ard_3-2-1_110084_2024-02-25_final
2024-03-04 10:28:23	ga_ls8c_ard_3-2-1_102069_2024-03-04_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