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

81 results

Time (local)	Label
2013-04-29 09:59:32	ga_ls8c_ard_3-0-0_096085_2013-04-29_final
2013-12-15 09:18:38	ga_ls8c_ard_3-0-0_090076_2013-12-14_final
2013-12-23 10:11:11	ga_ls8c_ard_3-0-0_098084_2013-12-23_final
2014-06-17 10:04:15	ga_ls8c_ard_3-0-0_098071_2014-06-17_final
2014-06-27 09:06:50	ga_ls8c_ard_3-0-0_088082_2014-06-26_final
2014-09-18 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-09-18_final
2014-09-30 11:38:36	ga_ls8c_ard_3-0-0_113074_2014-09-30_final
2014-11-05 09:33:52	ga_ls8c_ard_3-0-0_093071_2014-11-05_final
2014-11-12 11:20:08	ga_ls8c_ard_3-0-0_110074_2014-11-12_final
2015-01-20 09:57:09	ga_ls8c_ard_3-0-0_097068_2015-01-20_final
2015-02-12 11:46:27	ga_ls8c_ard_3-0-0_114079_2015-02-12_final
2015-03-01 09:11:29	ga_ls8c_ard_3-0-0_089078_2015-02-28_final
2015-05-06 10:38:58	ga_ls8c_ard_3-0-0_103082_2015-05-06_final
2016-01-20 11:09:38	ga_ls8c_ard_3-0-0_108079_2016-01-20_final
2016-02-12 11:11:42	ga_ls8c_ard_3-0-0_109069_2016-02-12_final
2016-03-25 10:10:04	ga_ls8c_ard_3-0-0_099070_2016-03-25_final
2016-04-26 10:12:38	ga_ls8c_ard_3-0-0_099077_2016-04-26_final
2016-04-26 10:13:02	ga_ls8c_ard_3-0-0_099078_2016-04-26_final
2016-05-28 11:50:51	ga_ls8c_ard_3-0-0_115075_2016-05-28_final
2016-07-16 09:21:51	ga_ls8c_ard_3-0-0_090088_2016-07-15_final
2016-07-19 11:23:16	ga_ls8c_ard_3-0-0_111067_2016-07-19_final
2016-11-24 11:24:50	ga_ls8c_ard_3-0-0_111070_2016-11-24_final
2017-12-04 09:58:19	ga_ls8c_ard_3-0-0_096086_2017-12-04_final
2017-12-31 11:14:41	ga_ls8c_ard_3-0-0_109076_2017-12-31_final
2018-03-25 10:48:30	ga_ls8c_ard_3-0-0_105074_2018-03-25_final
2018-04-01 10:57:02	ga_ls8c_ard_3-0-0_106080_2018-04-01_final
2018-04-14 10:24:48	ga_ls8c_ard_3-0-0_101077_2018-04-14_final
2018-04-29 09:39:01	ga_ls8c_ard_3-0-0_094071_2018-04-29_final
2018-06-02 11:06:20	ga_ls8c_ard_3-0-0_108074_2018-06-02_final
2018-06-14 09:57:03	ga_ls8c_ard_3-0-0_096086_2018-06-14_final
2018-07-18 09:39:25	ga_ls8c_ard_3-0-0_094072_2018-07-18_final
2018-07-28 10:16:09	ga_ls8c_ard_3-0-0_100071_2018-07-28_final
2018-11-21 09:55:43	ga_ls8c_ard_3-0-0_096080_2018-11-21_final
2018-12-22 10:49:17	ga_ls8c_ard_3-0-0_105075_2018-12-22_final
2019-01-19 09:31:52	ga_ls8c_ard_3-0-0_093067_2019-01-19_final
2019-05-09 09:50:42	ga_ls8c_ard_3-0-0_095084_2019-05-09_final
2019-11-03 11:14:07	ga_ls8c_ard_3-1-0_109074_2019-11-03_final
2019-11-19 11:14:03	ga_ls8c_ard_3-1-0_109074_2019-11-19_final
2019-12-15 10:10:13	ga_ls8c_ard_3-2-0_099069_2019-12-15_final
2020-02-02 09:21:58	ga_ls8c_ard_3-1-0_090088_2020-02-01_final
2020-04-25 11:23:37	ga_ls8c_ard_3-1-0_111069_2020-04-25_final
2020-06-05 11:19:03	ga_ls8c_ard_3-1-0_110073_2020-06-05_final
2020-07-14 09:44:16	ga_ls8c_ard_3-1-0_095067_2020-07-14_final
2020-08-11 11:52:47	ga_ls8c_ard_3-1-0_115079_2020-08-11_final
2020-08-21 10:52:16	ga_ls8c_ard_3-1-0_105082_2020-08-21_final
2020-10-09 09:57:42	ga_ls8c_ard_3-1-0_096084_2020-10-09_final
2020-11-19 11:26:23	ga_ls8c_ard_3-1-0_111074_2020-11-19_final
2021-01-02 11:52:17	ga_ls8c_ard_3-2-0_115077_2021-01-02_final
2021-01-28 10:49:56	ga_ls8c_ard_3-2-0_105076_2021-01-28_final
2021-03-03 10:39:48	ga_ls8c_ard_3-2-0_103082_2021-03-03_final
2021-03-17 10:48:50	ga_ls8c_ard_3-2-0_105074_2021-03-17_final
2021-05-20 10:48:38	ga_ls8c_ard_3-2-0_105074_2021-05-20_final
2021-07-17 11:26:48	ga_ls8c_ard_3-2-0_111076_2021-07-17_final
2022-02-03 11:24:02	ga_ls8c_ard_3-2-1_110084_2022-02-03_final
2022-02-06 11:51:20	ga_ls8c_ard_3-2-1_115075_2022-02-06_final
2022-03-19 11:44:31	ga_ls8c_ard_3-2-1_114074_2022-03-19_final
2022-04-01 11:13:52	ga_ls8c_ard_3-2-1_109075_2022-04-01_final
2022-05-01 09:46:11	ga_ls8c_ard_3-2-1_095072_2022-05-01_final
2022-05-01 11:24:16	ga_ls8c_ard_3-2-1_111070_2022-05-01_final
2022-05-03 11:16:20	ga_ls8c_ard_3-2-1_109081_2022-05-03_final
2022-05-24 09:51:43	ga_ls8c_ard_3-2-1_096070_2022-05-24_final
2022-07-10 10:49:14	ga_ls8c_ard_3-2-1_105074_2022-07-10_final
2022-07-24 11:02:06	ga_ls8c_ard_3-2-1_107075_2022-07-24_final
2022-08-14 11:20:25	ga_ls8c_ard_3-2-1_110074_2022-08-14_final
2022-09-04 10:04:05	ga_ls8c_ard_3-2-1_097084_2022-09-04_final
2022-10-10 09:40:59	ga_ls8c_ard_3-2-1_093088_2022-10-10_final
2022-12-23 10:12:42	ga_ls8c_ard_3-2-1_099075_2022-12-23_final
2022-12-30 10:19:19	ga_ls8c_ard_3-2-1_100076_2022-12-30_final
2023-01-12 09:52:45	ga_ls8c_ard_3-2-1_095087_2023-01-12_final
2023-01-24 10:10:41	ga_ls8c_ard_3-2-1_099070_2023-01-24_final
2023-03-23 10:46:51	ga_ls8c_ard_3-2-1_105069_2023-03-23_final
2023-03-29 10:10:32	ga_ls8c_ard_3-2-1_099071_2023-03-29_final
2023-05-08 09:28:15	ga_ls8c_ard_3-2-1_091090_2023-05-07_final
2023-06-20 09:05:48	ga_ls8c_ard_3-2-1_088080_2023-06-19_final
2023-07-20 09:17:35	ga_ls8c_ard_3-2-1_090078_2023-07-19_final
2023-09-25 09:46:06	ga_ls8c_ard_3-2-1_095071_2023-09-25_final
2023-12-04 09:16:39	ga_ls8c_ard_3-2-1_089090_2023-12-03_final
2023-12-15 10:30:15	ga_ls8c_ard_3-2-1_102073_2023-12-15_final
2024-01-21 10:49:53	ga_ls8c_ard_3-2-1_105076_2024-01-21_final
2024-02-20 09:28:56	ga_ls8c_ard_3-2-1_091090_2024-02-19_final
2024-04-19 10:41:53	ga_ls8c_ard_3-2-1_104073_2024-04-19_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