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

72 results

Time (local)	Label
2013-07-24 09:23:51	ga_ls8c_ard_3-0-0_090088_2013-07-23_final
2013-11-11 11:09:17	ga_ls8c_ard_3-0-0_108074_2013-11-11_final
2014-04-12 10:19:21	ga_ls8c_ard_3-0-0_100077_2014-04-12_final
2014-06-17 10:03:04	ga_ls8c_ard_3-0-0_098068_2014-06-17_final
2014-06-25 09:20:48	ga_ls8c_ard_3-0-0_090086_2014-06-24_final
2014-06-25 10:53:18	ga_ls8c_ard_3-0-0_106070_2014-06-25_final
2014-08-22 09:52:16	ga_ls8c_ard_3-0-0_096071_2014-08-22_final
2014-11-03 09:46:36	ga_ls8c_ard_3-0-0_095072_2014-11-03_final
2014-12-19 09:58:29	ga_ls8c_ard_3-0-0_097071_2014-12-19_final
2014-12-30 11:20:21	ga_ls8c_ard_3-0-0_110075_2014-12-30_final
2015-06-01 09:33:09	ga_ls8c_ard_3-0-0_093072_2015-06-01_final
2015-10-18 09:17:31	ga_ls8c_ard_3-0-0_090077_2015-10-17_final
2015-12-13 11:44:45	ga_ls8c_ard_3-0-0_114074_2015-12-13_final
2016-01-20 09:34:44	ga_ls8c_ard_3-0-0_092089_2016-01-20_final
2016-02-02 10:37:29	ga_ls8c_ard_3-0-0_103076_2016-02-02_final
2016-06-15 10:01:39	ga_ls8c_ard_3-0-0_097080_2016-06-15_final
2016-07-14 09:28:36	ga_ls8c_ard_3-0-0_092074_2016-07-13_final
2016-11-05 09:20:38	ga_ls8c_ard_3-0-0_090084_2016-11-04_final
2016-12-17 11:30:56	ga_ls8c_ard_3-0-0_112070_2016-12-17_final
2017-03-11 09:34:01	ga_ls8c_ard_3-0-0_092088_2017-03-11_final
2017-05-10 11:30:50	ga_ls8c_ard_3-0-0_112072_2017-05-10_final
2017-05-17 10:00:13	ga_ls8c_ard_3-0-0_097077_2017-05-17_final
2017-06-10 09:13:47	ga_ls8c_ard_3-0-0_089084_2017-06-09_final
2017-06-23 11:57:56	ga_ls8c_ard_3-0-0_116077_2017-06-23_final
2017-08-28 11:41:56	ga_ls8c_ard_3-0-0_114067_2017-08-28_final
2017-10-17 11:29:46	ga_ls8c_ard_3-0-0_112067_2017-10-17_final
2017-10-26 11:25:59	ga_ls8c_ard_3-0-0_111073_2017-10-26_final
2017-11-06 11:05:50	ga_ls8c_ard_3-0-0_108069_2017-11-06_final
2018-01-14 11:25:45	ga_ls8c_ard_3-0-0_111073_2018-01-14_final
2018-02-12 10:53:01	ga_ls8c_ard_3-0-0_106069_2018-02-12_final
2018-03-17 09:57:31	ga_ls8c_ard_3-0-0_097070_2018-03-17_final
2018-04-16 10:10:02	ga_ls8c_ard_3-0-0_099071_2018-04-16_final
2018-05-06 11:28:00	ga_ls8c_ard_3-0-0_111081_2018-05-06_final
2018-10-10 10:55:23	ga_ls8c_ard_3-0-0_106075_2018-10-10_final
2018-10-12 10:45:50	ga_ls8c_ard_3-0-0_104082_2018-10-12_final
2018-10-29 09:44:19	ga_ls8c_ard_3-0-0_095067_2018-10-29_final
2018-12-12 10:09:48	ga_ls8c_ard_3-0-0_099069_2018-12-12_final
2019-02-11 11:16:52	ga_ls8c_ard_3-0-0_110067_2019-02-11_final
2019-08-03 10:49:52	ga_ls8c_ard_3-1-0_105076_2019-08-03_final
2019-10-22 09:10:55	ga_ls8c_ard_3-1-0_089075_2019-10-21_final
2019-11-07 09:10:54	ga_ls8c_ard_3-1-0_089075_2019-11-06_final
2020-01-08 11:01:34	ga_ls8c_ard_3-1-0_107074_2020-01-08_final
2020-01-21 10:29:25	ga_ls8c_ard_3-1-0_102071_2020-01-21_final
2020-02-03 11:38:31	ga_ls8c_ard_3-1-0_113074_2020-02-03_final
2020-02-17 11:51:38	ga_ls8c_ard_3-1-0_115076_2020-02-17_final
2020-03-05 10:53:55	ga_ls8c_ard_3-1-0_106071_2020-03-05_final
2020-03-05 10:54:19	ga_ls8c_ard_3-1-0_106072_2020-03-05_final
2020-03-07 10:45:32	ga_ls8c_ard_3-1-0_104081_2020-03-07_final
2020-03-18 10:22:55	ga_ls8c_ard_3-1-0_101071_2020-03-18_final
2020-03-29 10:03:52	ga_ls8c_ard_3-1-0_098070_2020-03-29_final
2020-05-17 10:49:14	ga_ls8c_ard_3-1-0_105076_2020-05-17_final
2020-07-07 09:40:03	ga_ls8c_ard_3-1-0_094072_2020-07-07_final
2020-10-09 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-10-09_final
2020-11-25 09:10:51	ga_ls8c_ard_3-1-0_089075_2020-11-24_final
2021-01-19 09:20:50	ga_ls8c_ard_3-2-0_090085_2021-01-18_final
2021-03-18 11:32:05	ga_ls8c_ard_3-2-0_112074_2021-03-18_final
2021-06-11 11:52:13	ga_ls8c_ard_3-2-0_115078_2021-06-11_final
2021-09-09 09:15:10	ga_ls8c_ard_3-2-0_089086_2021-09-08_final
2021-11-06 11:24:30	ga_ls8c_ard_3-2-0_111069_2021-11-06_final
2021-12-28 09:26:44	ga_ls8c_ard_3-2-1_091084_2021-12-27_final
2022-02-03 09:40:45	ga_ls8c_ard_3-2-1_094073_2022-02-03_final
2022-04-05 10:49:34	ga_ls8c_ard_3-2-1_105076_2022-04-05_final
2022-07-04 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-07-04_final
2022-07-16 11:51:26	ga_ls8c_ard_3-2-1_115075_2022-07-16_final
2022-11-03 10:26:55	ga_ls8c_ard_3-2-1_101079_2022-11-03_final
2023-03-20 10:21:36	ga_ls8c_ard_3-2-1_100083_2023-03-20_final
2023-04-02 11:23:51	ga_ls8c_ard_3-2-1_111069_2023-04-02_final
2023-04-04 11:12:39	ga_ls8c_ard_3-2-1_109072_2023-04-04_final
2023-08-21 10:58:21	ga_ls8c_ard_3-2-1_106082_2023-08-21_final
2023-10-25 10:00:33	ga_ls8c_ard_3-2-1_097076_2023-10-25_final
2023-12-26 10:08:56	ga_ls8c_ard_3-2-1_099066_2023-12-26_final
2024-03-23 09:28:35	ga_ls8c_ard_3-2-1_091090_2024-03-22_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