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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

75 results

Time (local)	Label
2013-03-29 09:57:15	ga_ls8c_ard_3-0-0_096084_2013-03-29_final
2013-05-18 10:27:29	ga_ls8c_ard_3-0-0_101077_2013-05-18_final
2013-12-31 09:22:54	ga_ls8c_ard_3-0-0_090087_2013-12-30_final
2014-08-04 10:03:45	ga_ls8c_ard_3-0-0_098069_2014-08-04_final
2014-08-26 11:06:02	ga_ls8c_ard_3-0-0_108070_2014-08-26_final
2014-11-18 09:07:19	ga_ls8c_ard_3-0-0_088082_2014-11-17_final
2014-12-26 10:09:50	ga_ls8c_ard_3-0-0_098084_2014-12-26_final
2014-12-26 11:41:56	ga_ls8c_ard_3-0-0_114067_2014-12-26_final
2015-01-13 09:57:49	ga_ls8c_ard_3-0-0_096085_2015-01-13_final
2015-01-25 10:16:51	ga_ls8c_ard_3-0-0_100071_2015-01-25_final
2015-01-31 09:39:47	ga_ls8c_ard_3-0-0_094071_2015-01-31_final
2015-02-20 09:16:31	ga_ls8c_ard_3-0-0_090075_2015-02-19_final
2015-02-26 10:16:42	ga_ls8c_ard_3-0-0_100071_2015-02-26_final
2015-03-16 10:09:20	ga_ls8c_ard_3-0-0_098084_2015-03-16_final
2015-09-19 09:45:34	ga_ls8c_ard_3-0-0_095070_2015-09-19_final
2016-01-17 10:35:56	ga_ls8c_ard_3-0-0_103072_2016-01-17_final
2016-05-20 09:21:40	ga_ls8c_ard_3-0-0_091073_2016-05-19_final
2016-09-01 10:10:31	ga_ls8c_ard_3-0-0_099070_2016-09-01_final
2016-09-14 09:45:14	ga_ls8c_ard_3-0-0_094084_2016-09-14_final
2016-09-18 10:53:49	ga_ls8c_ard_3-0-0_106070_2016-09-18_final
2016-11-21 10:53:08	ga_ls8c_ard_3-0-0_106068_2016-11-21_final
2016-12-16 09:11:35	ga_ls8c_ard_3-0-0_089077_2016-12-15_final
2016-12-31 10:04:46	ga_ls8c_ard_3-0-0_098071_2016-12-31_final
2017-01-23 10:10:50	ga_ls8c_ard_3-0-0_099071_2017-01-23_final
2017-02-05 09:45:01	ga_ls8c_ard_3-0-0_094084_2017-02-05_final
2017-02-13 10:29:13	ga_ls8c_ard_3-0-0_102071_2017-02-13_final
2017-02-19 09:57:41	ga_ls8c_ard_3-0-0_096085_2017-02-19_final
2017-02-24 10:10:37	ga_ls8c_ard_3-0-0_099071_2017-02-24_final
2017-03-14 09:57:42	ga_ls8c_ard_3-0-0_097070_2017-03-14_final
2017-05-20 10:27:33	ga_ls8c_ard_3-0-0_102068_2017-05-20_final
2017-05-23 09:21:36	ga_ls8c_ard_3-0-0_091073_2017-05-22_final
2017-08-14 09:58:13	ga_ls8c_ard_3-0-0_096086_2017-08-14_final
2017-08-19 10:10:47	ga_ls8c_ard_3-0-0_099071_2017-08-19_final
2017-10-13 11:58:52	ga_ls8c_ard_3-0-0_116078_2017-10-13_final
2017-11-18 09:57:36	ga_ls8c_ard_3-0-0_096084_2017-11-18_final
2017-11-20 11:24:07	ga_ls8c_ard_3-0-0_110084_2017-11-20_final
2017-11-24 10:52:35	ga_ls8c_ard_3-0-0_106067_2017-11-24_final
2018-04-02 10:01:24	ga_ls8c_ard_3-0-0_097080_2018-04-02_final
2018-06-16 11:18:48	ga_ls8c_ard_3-0-0_110074_2018-06-16_final
2018-10-02 11:47:10	ga_ls8c_ard_3-0-0_114081_2018-10-02_final
2018-11-03 10:10:03	ga_ls8c_ard_3-0-0_098085_2018-11-03_final
2019-01-30 10:53:46	ga_ls8c_ard_3-0-0_106071_2019-01-30_final
2019-03-29 11:30:13	ga_ls8c_ard_3-1-0_112070_2019-03-29_final
2019-04-07 09:51:30	ga_ls8c_ard_3-1-0_095086_2019-04-07_final
2019-05-25 09:51:16	ga_ls8c_ard_3-0-0_095085_2019-05-25_final
2019-07-05 09:40:08	ga_ls8c_ard_3-1-0_094072_2019-07-05_final
2019-08-08 09:29:09	ga_ls8c_ard_3-1-0_092075_2019-08-07_final
2019-11-08 09:50:58	ga_ls8c_ard_3-1-0_096067_2019-11-08_final
2019-12-15 10:09:49	ga_ls8c_ard_3-2-0_099068_2019-12-15_final
2020-02-02 09:16:47	ga_ls8c_ard_3-1-0_090075_2020-02-01_final
2020-02-05 11:25:45	ga_ls8c_ard_3-1-0_111073_2020-02-05_final
2020-02-07 11:11:47	ga_ls8c_ard_3-1-0_109069_2020-02-07_final
2020-02-27 09:11:18	ga_ls8c_ard_3-1-0_089077_2020-02-26_final
2020-03-29 11:47:09	ga_ls8c_ard_3-1-0_114081_2020-03-29_final
2020-05-04 09:44:51	ga_ls8c_ard_3-1-0_094085_2020-05-04_final
2020-08-20 10:04:12	ga_ls8c_ard_3-1-0_098070_2020-08-20_final
2020-08-25 10:27:58	ga_ls8c_ard_3-1-0_101083_2020-08-25_final
2020-11-21 09:33:58	ga_ls8c_ard_3-1-0_093071_2020-11-21_final
2021-02-18 09:29:07	ga_ls8c_ard_3-2-0_092075_2021-02-17_final
2021-10-15 10:27:54	ga_ls8c_ard_3-2-0_101082_2021-10-15_final
2021-10-25 09:27:42	ga_ls8c_ard_3-2-0_091086_2021-10-24_final
2021-12-19 09:29:47	ga_ls8c_ard_3-2-1_092076_2021-12-18_final
2021-12-28 11:00:50	ga_ls8c_ard_3-2-1_107072_2021-12-28_final
2022-01-14 10:03:11	ga_ls8c_ard_3-2-1_098067_2022-01-14_final
2022-05-07 09:15:58	ga_ls8c_ard_3-2-1_089089_2022-05-06_final
2022-07-29 11:21:06	ga_ls8c_ard_3-2-1_110076_2022-07-29_final
2022-11-22 10:53:20	ga_ls8c_ard_3-2-1_106068_2022-11-22_final
2022-12-30 10:21:43	ga_ls8c_ard_3-2-1_100082_2022-12-30_final
2023-01-07 09:34:39	ga_ls8c_ard_3-2-1_092088_2023-01-07_final
2023-05-13 09:39:07	ga_ls8c_ard_3-2-1_094071_2023-05-13_final
2023-08-24 11:25:41	ga_ls8c_ard_3-2-1_111073_2023-08-24_final
2023-08-28 09:27:40	ga_ls8c_ard_3-2-1_091087_2023-08-27_final
2023-09-29 11:01:53	ga_ls8c_ard_3-2-1_107075_2023-09-29_final
2024-01-12 09:17:13	ga_ls8c_ard_3-2-1_090076_2024-01-11_final
2024-01-27 10:11:07	ga_ls8c_ard_3-2-1_099072_2024-01-27_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