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

63 results

Time (local)	Label
2013-03-29 09:57:15	ga_ls8c_ard_3-0-0_096084_2013-03-29_final
2013-09-29 11:31:09	ga_ls8c_ard_3-0-0_111082_2013-09-29_final
2013-11-29 09:22:42	ga_ls8c_ard_3-0-0_090086_2013-11-28_final
2013-12-17 10:41:56	ga_ls8c_ard_3-0-0_104068_2013-12-17_final
2014-02-05 10:34:40	ga_ls8c_ard_3-0-0_102082_2014-02-05_final
2014-03-05 10:54:09	ga_ls8c_ard_3-0-0_106070_2014-03-05_final
2014-05-27 09:45:09	ga_ls8c_ard_3-0-0_095070_2014-05-27_final
2015-07-28 09:28:16	ga_ls8c_ard_3-0-0_092074_2015-07-27_final
2015-11-09 10:17:01	ga_ls8c_ard_3-0-0_100071_2015-11-09_final
2016-01-13 11:01:50	ga_ls8c_ard_3-0-0_107075_2016-01-13_final
2016-03-15 09:34:40	ga_ls8c_ard_3-0-0_093074_2016-03-15_final
2016-05-04 09:28:29	ga_ls8c_ard_3-0-0_091090_2016-05-03_final
2016-07-17 11:35:37	ga_ls8c_ard_3-0-0_113067_2016-07-17_final
2016-09-12 11:32:29	ga_ls8c_ard_3-0-0_112074_2016-09-12_final
2017-01-15 09:21:51	ga_ls8c_ard_3-0-0_091072_2017-01-14_final
2017-01-17 10:47:09	ga_ls8c_ard_3-0-0_105069_2017-01-17_final
2017-03-07 09:51:59	ga_ls8c_ard_3-0-0_096071_2017-03-07_final
2017-03-12 10:10:05	ga_ls8c_ard_3-0-0_099070_2017-03-12_final
2017-06-16 11:50:55	ga_ls8c_ard_3-0-0_115075_2017-06-16_final
2017-06-20 09:50:31	ga_ls8c_ard_3-0-0_095083_2017-06-20_final
2017-07-31 09:40:35	ga_ls8c_ard_3-0-0_094073_2017-07-31_final
2017-08-03 10:14:18	ga_ls8c_ard_3-0-0_099080_2017-08-03_final
2017-10-14 09:26:46	ga_ls8c_ard_3-0-0_091084_2017-10-13_final
2017-11-07 11:52:17	ga_ls8c_ard_3-0-0_115077_2017-11-07_final
2018-01-02 09:21:50	ga_ls8c_ard_3-0-0_091072_2018-01-01_final
2018-02-01 09:35:07	ga_ls8c_ard_3-0-0_093075_2018-02-01_final
2018-02-04 10:05:36	ga_ls8c_ard_3-0-0_098074_2018-02-04_final
2018-06-20 09:20:02	ga_ls8c_ard_3-0-0_090086_2018-06-19_final
2018-08-19 09:37:41	ga_ls8c_ard_3-0-0_094067_2018-08-19_final
2018-10-07 10:23:16	ga_ls8c_ard_3-1-0_101072_2018-10-07_final
2019-02-10 10:37:36	ga_ls8c_ard_3-0-0_103077_2019-02-10_final
2019-02-23 10:09:03	ga_ls8c_ard_3-0-0_098083_2019-02-23_final
2019-03-03 10:53:39	ga_ls8c_ard_3-0-0_106071_2019-03-03_final
2019-04-04 09:21:25	ga_ls8c_ard_3-1-0_090088_2019-04-03_final
2019-07-02 10:49:19	ga_ls8c_ard_3-1-0_105075_2019-07-02_final
2019-07-23 09:34:14	ga_ls8c_ard_3-1-0_092088_2019-07-23_final
2019-08-01 09:27:43	ga_ls8c_ard_3-1-0_091087_2019-07-31_final
2019-09-04 10:49:37	ga_ls8c_ard_3-1-0_105075_2019-09-04_final
2019-11-08 09:57:21	ga_ls8c_ard_3-1-0_096083_2019-11-08_final
2020-02-05 11:24:09	ga_ls8c_ard_3-1-0_111069_2020-02-05_final
2020-02-07 11:16:58	ga_ls8c_ard_3-1-0_109082_2020-02-07_final
2020-07-15 10:30:20	ga_ls8c_ard_3-1-0_102074_2020-07-15_final
2020-08-05 10:48:58	ga_ls8c_ard_3-1-0_105074_2020-08-05_final
2020-08-21 10:48:16	ga_ls8c_ard_3-1-0_105072_2020-08-21_final
2020-09-04 10:59:57	ga_ls8c_ard_3-1-0_107070_2020-09-04_final
2020-09-05 10:09:55	ga_ls8c_ard_3-1-0_098084_2020-09-05_final
2020-09-18 09:39:29	ga_ls8c_ard_3-1-0_093085_2020-09-18_final
2020-10-30 10:11:27	ga_ls8c_ard_3-1-0_099072_2020-10-30_final
2021-01-23 10:29:01	ga_ls8c_ard_3-2-0_102070_2021-01-23_final
2021-06-24 09:38:06	ga_ls8c_ard_3-2-0_094067_2021-06-24_final
2021-09-17 11:35:57	ga_ls8c_ard_3-2-0_113067_2021-09-17_final
2021-10-05 09:44:47	ga_ls8c_ard_3-2-0_095067_2021-10-05_final
2021-10-19 09:58:00	ga_ls8c_ard_3-2-0_097069_2021-10-19_final
2021-10-26 11:45:04	ga_ls8c_ard_3-2-0_114074_2021-10-26_final
2022-04-28 09:21:39	ga_ls8c_ard_3-2-1_090088_2022-04-27_final
2022-08-27 10:49:32	ga_ls8c_ard_3-2-1_105074_2022-08-27_final
2022-11-25 09:47:21	ga_ls8c_ard_3-2-1_095073_2022-11-25_final
2022-12-04 09:41:11	ga_ls8c_ard_3-2-1_094073_2022-12-04_final
2022-12-30 10:20:07	ga_ls8c_ard_3-2-1_100078_2022-12-30_final
2023-02-19 10:49:36	ga_ls8c_ard_3-2-1_105075_2023-02-19_final
2023-05-11 11:30:47	ga_ls8c_ard_3-2-1_112072_2023-05-11_final
2024-02-12 11:52:54	ga_ls8c_ard_3-2-1_115079_2024-02-12_final
2024-02-29 09:17:29	ga_ls8c_ard_3-2-1_090077_2024-02-28_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years