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

62 results

Time (local)	Label
2013-04-01 10:09:38	ga_ls8c_ard_3-0-0_099072_2013-04-01_final
2013-05-11 10:18:49	ga_ls8c_ard_3-0-0_100071_2013-05-11_final
2013-05-20 11:52:50	ga_ls8c_ard_3-0-0_115074_2013-05-20_final
2013-10-15 09:48:16	ga_ls8c_ard_3-0-0_095072_2013-10-15_final
2014-01-31 10:11:48	ga_ls8c_ard_3-0-0_099071_2014-01-31_final
2014-06-30 11:13:29	ga_ls8c_ard_3-0-0_109074_2014-06-30_final
2014-08-16 10:33:19	ga_ls8c_ard_3-0-0_102081_2014-08-16_final
2015-06-20 10:09:03	ga_ls8c_ard_3-0-0_098084_2015-06-20_final
2015-07-23 10:49:47	ga_ls8c_ard_3-0-0_105077_2015-07-23_final
2015-08-23 11:44:24	ga_ls8c_ard_3-0-0_114074_2015-08-23_final
2015-09-10 11:29:22	ga_ls8c_ard_3-0-0_112067_2015-09-10_final
2015-10-12 11:29:29	ga_ls8c_ard_3-0-0_112067_2015-10-12_final
2016-01-15 09:14:36	ga_ls8c_ard_3-0-0_089085_2016-01-14_final
2016-08-24 09:29:00	ga_ls8c_ard_3-0-0_091090_2016-08-23_final
2016-08-31 11:11:19	ga_ls8c_ard_3-0-0_108083_2016-08-31_final
2016-09-19 09:57:24	ga_ls8c_ard_3-0-0_097068_2016-09-19_final
2017-04-29 10:14:49	ga_ls8c_ard_3-0-0_099083_2017-04-29_final
2017-06-15 11:11:14	ga_ls8c_ard_3-0-0_108084_2017-06-15_final
2017-07-17 09:32:53	ga_ls8c_ard_3-0-0_092085_2017-07-17_final
2017-07-19 09:22:33	ga_ls8c_ard_3-0-0_090090_2017-07-18_final
2017-07-26 11:01:41	ga_ls8c_ard_3-0-0_107075_2017-07-26_final
2017-10-26 11:25:35	ga_ls8c_ard_3-0-0_111072_2017-10-26_final
2017-11-18 11:34:53	ga_ls8c_ard_3-0-0_112080_2017-11-18_final
2018-02-28 09:20:24	ga_ls8c_ard_3-0-0_090085_2018-02-27_final
2018-03-06 10:16:34	ga_ls8c_ard_3-0-0_100071_2018-03-06_final
2018-03-31 10:08:35	ga_ls8c_ard_3-0-0_099067_2018-03-31_final
2018-04-08 09:27:51	ga_ls8c_ard_3-0-0_091089_2018-04-07_final
2018-04-15 11:10:51	ga_ls8c_ard_3-0-0_108084_2018-04-15_final
2018-05-26 09:20:57	ga_ls8c_ard_3-0-0_091073_2018-05-25_final
2018-06-07 09:45:36	ga_ls8c_ard_3-0-0_095073_2018-06-07_final
2018-06-12 10:06:11	ga_ls8c_ard_3-0-0_098078_2018-06-12_final
2018-08-17 11:30:55	ga_ls8c_ard_3-0-0_112072_2018-08-17_final
2018-12-20 09:28:21	ga_ls8c_ard_3-0-0_091089_2018-12-19_final
2018-12-21 10:04:25	ga_ls8c_ard_3-0-0_098071_2018-12-21_final
2018-12-22 10:48:53	ga_ls8c_ard_3-0-0_105074_2018-12-22_final
2019-02-18 11:24:37	ga_ls8c_ard_3-0-0_111071_2019-02-18_final
2019-04-28 10:09:08	ga_ls8c_ard_3-0-0_098084_2019-04-28_final
2019-09-10 10:13:22	ga_ls8c_ard_3-1-0_099077_2019-09-10_final
2019-09-10 11:51:27	ga_ls8c_ard_3-1-0_115075_2019-09-10_final
2019-12-14 11:07:51	ga_ls8c_ard_3-2-0_108074_2019-12-14_final
2020-03-13 10:03:37	ga_ls8c_ard_3-1-0_098069_2020-03-13_final
2020-07-11 10:52:14	ga_ls8c_ard_3-1-0_106067_2020-07-11_final
2020-12-25 09:22:24	ga_ls8c_ard_3-2-0_091073_2020-12-24_final
2020-12-26 10:06:03	ga_ls8c_ard_3-2-0_098074_2020-12-26_final
2021-01-02 10:16:11	ga_ls8c_ard_3-2-0_099084_2021-01-02_final
2021-05-04 09:12:25	ga_ls8c_ard_3-2-0_089081_2021-05-03_final
2021-06-18 10:18:21	ga_ls8c_ard_3-2-0_100075_2021-06-18_final
2021-07-17 11:24:01	ga_ls8c_ard_3-2-0_111069_2021-07-17_final
2021-12-06 09:57:56	ga_ls8c_ard_3-2-1_097069_2021-12-06_final
2022-01-14 10:03:58	ga_ls8c_ard_3-2-1_098069_2022-01-14_final
2022-02-06 10:10:51	ga_ls8c_ard_3-2-1_099071_2022-02-06_final
2022-06-09 09:57:29	ga_ls8c_ard_3-2-1_096084_2022-06-09_final
2022-06-18 11:26:17	ga_ls8c_ard_3-2-1_111074_2022-06-18_final
2022-11-26 10:32:13	ga_ls8c_ard_3-2-1_102077_2022-11-26_final
2022-12-23 10:10:18	ga_ls8c_ard_3-2-1_099069_2022-12-23_final
2023-02-03 10:49:47	ga_ls8c_ard_3-2-1_105075_2023-02-03_final
2023-06-14 09:39:17	ga_ls8c_ard_3-2-1_094071_2023-06-14_final
2023-09-21 10:10:00	ga_ls8c_ard_3-2-1_099069_2023-09-21_final
2023-09-29 09:23:00	ga_ls8c_ard_3-2-1_091075_2023-09-28_final
2023-11-15 10:19:05	ga_ls8c_ard_3-2-1_100076_2023-11-15_final
2024-01-26 09:33:51	ga_ls8c_ard_3-2-1_092087_2024-01-26_final
2024-03-16 10:53:24	ga_ls8c_ard_3-2-1_106070_2024-03-16_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