Search ga_ls8c_ard_3 whole collection

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

73 results

Time (local)	Label
2013-08-06 10:29:29	ga_ls8c_ard_3-0-0_101082_2013-08-06_final
2013-12-19 10:34:44	ga_ls8c_ard_3-0-0_102081_2013-12-19_final
2014-05-04 11:19:59	ga_ls8c_ard_3-0-0_110075_2014-05-04_final
2014-05-09 09:57:11	ga_ls8c_ard_3-0-0_097069_2014-05-09_final
2014-05-27 09:51:08	ga_ls8c_ard_3-0-0_095085_2014-05-27_final
2014-08-17 11:14:11	ga_ls8c_ard_3-0-0_109075_2014-08-17_final
2014-10-25 11:30:53	ga_ls8c_ard_3-0-0_112070_2014-10-25_final
2014-12-09 11:01:29	ga_ls8c_ard_3-0-0_107074_2014-12-09_final
2015-01-17 09:28:40	ga_ls8c_ard_3-0-0_092074_2015-01-16_final
2015-03-28 10:32:44	ga_ls8c_ard_3-0-0_102081_2015-03-28_final
2015-05-11 10:51:51	ga_ls8c_ard_3-0-0_106068_2015-05-11_final
2015-08-04 09:40:03	ga_ls8c_ard_3-0-0_093088_2015-08-04_final
2015-10-05 11:24:07	ga_ls8c_ard_3-0-0_111069_2015-10-05_final
2015-12-17 11:18:27	ga_ls8c_ard_3-0-0_110070_2015-12-17_final
2016-01-21 10:14:24	ga_ls8c_ard_3-0-0_099080_2016-01-21_final
2016-03-11 09:59:49	ga_ls8c_ard_3-0-0_097075_2016-03-11_final
2016-06-28 09:30:52	ga_ls8c_ard_3-0-0_092080_2016-06-28_final
2016-07-16 10:52:21	ga_ls8c_ard_3-0-0_106067_2016-07-16_final
2016-08-25 11:41:59	ga_ls8c_ard_3-0-0_114067_2016-08-25_final
2016-10-26 10:17:15	ga_ls8c_ard_3-0-0_100071_2016-10-26_final
2016-12-08 11:38:45	ga_ls8c_ard_3-0-0_113074_2016-12-08_final
2016-12-22 10:10:10	ga_ls8c_ard_3-0-0_099069_2016-12-22_final
2017-05-31 10:09:31	ga_ls8c_ard_3-0-0_099069_2017-05-31_final
2017-06-27 09:57:32	ga_ls8c_ard_3-0-0_096085_2017-06-27_final
2017-09-24 09:44:36	ga_ls8c_ard_3-0-0_095067_2017-09-24_final
2017-09-30 10:49:38	ga_ls8c_ard_3-0-0_105075_2017-09-30_final
2017-11-02 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-11-02_final
2017-11-16 10:10:22	ga_ls8c_ard_3-0-0_098085_2017-11-16_final
2017-12-16 11:57:34	ga_ls8c_ard_3-0-0_116075_2017-12-16_final
2017-12-28 09:07:18	ga_ls8c_ard_3-0-0_088082_2017-12-27_final
2018-01-04 09:13:03	ga_ls8c_ard_3-0-0_089081_2018-01-03_final
2018-09-22 11:07:36	ga_ls8c_ard_3-0-0_108075_2018-09-22_final
2018-10-09 10:14:55	ga_ls8c_ard_3-0-0_099082_2018-10-09_final
2018-11-30 11:24:24	ga_ls8c_ard_3-0-0_111070_2018-11-30_final
2018-12-26 10:27:45	ga_ls8c_ard_3-0-0_101083_2018-12-26_final
2018-12-29 10:52:40	ga_ls8c_ard_3-0-0_106068_2018-12-29_final
2019-01-13 10:09:46	ga_ls8c_ard_3-0-0_099069_2019-01-13_final
2019-03-22 11:22:52	ga_ls8c_ard_3-1-0_111067_2019-03-22_final
2019-10-06 09:10:53	ga_ls8c_ard_3-1-0_089075_2019-10-05_final
2019-10-11 09:35:02	ga_ls8c_ard_3-1-0_092089_2019-10-11_final
2019-12-27 10:38:05	ga_ls8c_ard_3-1-0_103077_2019-12-27_final
2019-12-31 10:14:09	ga_ls8c_ard_3-1-0_099079_2019-12-31_final
2020-01-20 11:25:50	ga_ls8c_ard_3-1-0_111073_2020-01-20_final
2020-02-10 10:03:48	ga_ls8c_ard_3-1-0_098069_2020-02-10_final
2020-05-03 10:38:53	ga_ls8c_ard_3-1-0_103081_2020-05-03_final
2020-09-22 10:49:41	ga_ls8c_ard_3-1-0_105075_2020-09-22_final
2020-11-16 10:55:52	ga_ls8c_ard_3-1-0_106075_2020-11-16_final
2020-11-20 10:33:58	ga_ls8c_ard_3-1-0_102082_2020-11-20_final
2021-01-22 11:25:26	ga_ls8c_ard_3-2-0_111072_2021-01-22_final
2021-02-16 11:19:11	ga_ls8c_ard_3-2-0_110072_2021-02-16_final
2021-03-27 09:51:47	ga_ls8c_ard_3-2-0_095086_2021-03-27_final
2021-05-14 11:23:40	ga_ls8c_ard_3-2-0_111069_2021-05-14_final
2021-05-31 10:32:59	ga_ls8c_ard_3-2-0_102081_2021-05-31_final
2021-06-22 09:57:38	ga_ls8c_ard_3-2-0_096085_2021-06-22_final
2021-07-22 10:07:19	ga_ls8c_ard_3-2-0_098078_2021-07-22_final
2021-07-23 10:48:59	ga_ls8c_ard_3-2-0_105074_2021-07-23_final
2021-08-15 10:55:44	ga_ls8c_ard_3-2-0_106075_2021-08-15_final
2021-11-03 09:17:07	ga_ls8c_ard_3-2-0_090075_2021-11-02_final
2021-12-29 10:07:36	ga_ls8c_ard_3-2-1_098078_2021-12-29_final
2022-02-16 09:12:11	ga_ls8c_ard_3-2-1_089079_2022-02-15_final
2022-03-26 10:13:19	ga_ls8c_ard_3-2-1_099078_2022-03-26_final
2022-04-08 11:23:41	ga_ls8c_ard_3-2-1_110084_2022-04-08_final
2022-05-15 11:41:58	ga_ls8c_ard_3-2-1_113083_2022-05-15_final
2022-10-15 09:57:29	ga_ls8c_ard_3-2-1_096083_2022-10-15_final
2023-01-02 09:10:32	ga_ls8c_ard_3-2-1_089074_2023-01-01_final
2023-02-24 09:28:44	ga_ls8c_ard_3-2-1_092074_2023-02-23_final
2023-04-30 11:51:53	ga_ls8c_ard_3-2-1_115078_2023-04-30_final
2023-05-25 10:06:39	ga_ls8c_ard_3-2-1_098078_2023-05-25_final
2023-07-27 09:22:16	ga_ls8c_ard_3-2-1_091074_2023-07-26_final
2023-09-06 09:21:51	ga_ls8c_ard_3-2-1_090088_2023-09-05_final
2024-01-18 10:19:49	ga_ls8c_ard_3-2-1_100078_2024-01-18_final
2024-02-29 12:31:16	ga_ls8c_ard_3-2-1_122067_2024-02-29_final
2024-04-24 09:21:32	ga_ls8c_ard_3-2-1_091073_2024-04-23_nrt

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