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

First 100 results (query limit)

Time (local)	Label
2013-03-29 11:33:02	ga_ls8c_ard_3-0-0_112077_2013-03-29_final
2013-04-12 10:52:55	ga_ls8c_ard_3-0-0_105079_2013-04-12_final
2013-04-19 10:58:35	ga_ls8c_ard_3-0-0_106078_2013-04-19_final
2013-04-20 11:41:02	ga_ls8c_ard_3-0-0_113076_2013-04-20_final
2013-04-24 11:17:29	ga_ls8c_ard_3-0-0_109079_2013-04-24_final
2013-05-13 11:47:46	ga_ls8c_ard_3-0-0_114077_2013-05-13_final
2013-06-11 11:17:44	ga_ls8c_ard_3-0-0_109079_2013-06-11_final
2013-07-13 11:17:42	ga_ls8c_ard_3-0-0_109079_2013-07-13_final
2013-08-07 11:11:33	ga_ls8c_ard_3-0-0_108079_2013-08-07_final
2013-08-18 10:49:25	ga_ls8c_ard_3-0-0_105070_2013-08-18_final
2013-08-25 10:54:26	ga_ls8c_ard_3-0-0_106067_2013-08-25_final
2013-09-19 10:53:21	ga_ls8c_ard_3-0-0_105080_2013-09-19_final
2013-09-26 10:58:15	ga_ls8c_ard_3-0-0_106077_2013-09-26_final
2014-01-14 11:09:55	ga_ls8c_ard_3-0-0_108077_2014-01-14_final
2014-02-26 10:51:42	ga_ls8c_ard_3-0-0_105079_2014-02-26_final
2014-03-03 11:09:19	ga_ls8c_ard_3-0-0_108077_2014-03-03_final
2014-03-26 11:15:13	ga_ls8c_ard_3-0-0_109077_2014-03-26_final
2014-03-31 11:34:05	ga_ls8c_ard_3-0-0_112078_2014-03-31_final
2014-04-04 11:08:56	ga_ls8c_ard_3-0-0_108077_2014-04-04_final
2014-04-07 11:39:23	ga_ls8c_ard_3-0-0_113076_2014-04-07_final
2014-04-13 11:00:59	ga_ls8c_ard_3-0-0_107073_2014-04-13_final
2014-04-15 10:50:58	ga_ls8c_ard_3-0-0_105079_2014-04-15_final
2014-04-20 11:09:03	ga_ls8c_ard_3-0-0_108078_2014-04-20_final
2014-04-20 11:09:51	ga_ls8c_ard_3-0-0_108080_2014-04-20_final
2014-04-22 10:54:40	ga_ls8c_ard_3-0-0_106073_2014-04-22_final
2014-04-22 10:56:16	ga_ls8c_ard_3-0-0_106077_2014-04-22_final
2014-05-13 11:16:29	ga_ls8c_ard_3-0-0_109082_2014-05-13_final
2014-06-16 11:03:04	ga_ls8c_ard_3-0-0_107079_2014-06-16_final
2014-06-16 11:04:16	ga_ls8c_ard_3-1-0_107082_2014-06-16_final
2014-06-25 10:58:29	ga_ls8c_ard_3-0-0_106083_2014-06-25_final
2014-07-27 10:57:53	ga_ls8c_ard_3-0-0_106081_2014-07-27_final
2014-08-01 11:15:41	ga_ls8c_ard_3-0-0_109079_2014-08-01_final
2014-08-04 11:47:01	ga_ls8c_ard_3-0-0_114080_2014-08-04_final
2014-08-06 11:33:29	ga_ls8c_ard_3-0-0_112077_2014-08-06_final
2014-08-21 10:51:04	ga_ls8c_ard_3-0-0_105079_2014-08-21_final
2014-08-22 11:33:08	ga_ls8c_ard_3-0-0_112076_2014-08-22_final
2014-08-24 11:21:59	ga_ls8c_ard_3-0-0_110079_2014-08-24_final
2014-09-11 11:08:53	ga_ls8c_ard_3-0-0_108077_2014-09-11_final
2014-09-14 11:39:23	ga_ls8c_ard_3-0-0_113076_2014-09-14_final
2014-09-14 11:40:35	ga_ls8c_ard_3-0-0_113079_2014-09-14_final
2014-09-23 11:33:33	ga_ls8c_ard_3-0-0_112077_2014-09-23_final
2014-10-08 10:51:12	ga_ls8c_ard_3-0-0_105079_2014-10-08_final
2014-12-27 10:51:53	ga_ls8c_ard_3-0-0_105081_2014-12-27_final
2015-01-19 10:57:58	ga_ls8c_ard_3-0-0_106081_2015-01-19_final
2015-01-28 10:51:45	ga_ls8c_ard_3-0-0_105081_2015-01-28_final
2015-02-13 10:51:37	ga_ls8c_ard_3-0-0_105081_2015-02-13_final
2015-05-11 10:56:14	ga_ls8c_ard_3-0-0_106079_2015-05-11_final
2015-05-29 10:44:41	ga_ls8c_ard_3-0-0_104081_2015-05-29_final
2015-06-10 11:08:23	ga_ls8c_ard_3-0-0_108078_2015-06-10_final
2015-06-20 11:45:32	ga_ls8c_ard_3-0-0_114078_2015-06-20_final
2015-07-08 11:32:57	ga_ls8c_ard_3-0-0_112077_2015-07-08_final
2015-07-08 11:33:44	ga_ls8c_ard_3-0-0_112079_2015-07-08_final
2015-09-09 10:50:52	ga_ls8c_ard_3-0-0_105079_2015-09-09_final
2015-09-16 10:56:19	ga_ls8c_ard_3-0-0_106077_2015-09-16_final
2015-09-25 10:51:00	ga_ls8c_ard_3-0-0_105079_2015-09-25_final
2015-09-26 11:33:28	ga_ls8c_ard_3-0-0_112077_2015-09-26_final
2015-10-02 10:56:24	ga_ls8c_ard_3-0-0_106077_2015-10-02_final
2016-02-17 11:31:47	ga_ls8c_ard_3-0-0_112073_2016-02-17_final
2016-04-21 11:33:24	ga_ls8c_ard_3-0-0_112078_2016-04-21_final
2016-05-23 11:33:28	ga_ls8c_ard_3-0-0_112078_2016-05-23_final
2016-05-25 11:21:08	ga_ls8c_ard_3-0-0_110078_2016-05-25_final
2016-06-12 11:08:50	ga_ls8c_ard_3-0-0_108078_2016-06-12_final
2016-06-19 11:15:27	ga_ls8c_ard_3-0-0_109079_2016-06-19_final
2016-07-26 11:34:16	ga_ls8c_ard_3-0-0_112079_2016-07-26_final
2016-08-27 11:34:25	ga_ls8c_ard_3-0-0_112079_2016-08-27_final
2016-09-16 11:09:22	ga_ls8c_ard_3-0-0_108078_2016-09-16_final
2016-10-02 11:08:59	ga_ls8c_ard_3-0-0_108077_2016-10-02_final
2016-11-19 11:09:05	ga_ls8c_ard_3-0-0_108077_2016-11-19_final
2017-06-27 11:34:01	ga_ls8c_ard_3-0-0_112079_2017-06-27_final
2017-07-13 11:33:16	ga_ls8c_ard_3-0-0_112077_2017-07-13_final
2017-07-13 11:33:40	ga_ls8c_ard_3-0-0_112078_2017-07-13_final
2017-07-13 11:34:04	ga_ls8c_ard_3-0-0_112079_2017-07-13_final
2017-08-14 11:33:30	ga_ls8c_ard_3-0-0_112077_2017-08-14_final
2017-12-08 11:06:30	ga_ls8c_ard_3-0-0_108071_2017-12-08_final
2018-03-26 11:32:57	ga_ls8c_ard_3-0-0_112077_2018-03-26_final
2018-05-15 11:20:31	ga_ls8c_ard_3-0-0_110078_2018-05-15_final
2018-06-14 11:32:20	ga_ls8c_ard_3-0-0_112077_2018-06-14_final
2018-06-30 11:32:31	ga_ls8c_ard_3-0-0_112077_2018-06-30_final
2018-06-30 11:32:54	ga_ls8c_ard_3-0-0_112078_2018-06-30_final
2018-07-02 11:20:34	ga_ls8c_ard_3-0-0_110078_2018-07-02_final
2018-07-16 11:33:02	ga_ls8c_ard_3-0-0_112078_2018-07-16_final
2018-07-18 11:20:41	ga_ls8c_ard_3-0-0_110078_2018-07-18_final
2018-08-01 11:32:46	ga_ls8c_ard_3-0-0_112077_2018-08-01_final
2018-08-01 11:33:09	ga_ls8c_ard_3-0-0_112078_2018-08-01_final
2019-08-20 11:33:37	ga_ls8c_ard_3-1-0_112077_2019-08-20_final
2019-09-05 11:33:40	ga_ls8c_ard_3-1-0_112077_2019-09-05_final
2019-09-21 11:33:46	ga_ls8c_ard_3-1-0_112077_2019-09-21_final
2020-03-31 11:33:10	ga_ls8c_ard_3-1-0_112077_2020-03-31_final
2020-08-06 11:33:26	ga_ls8c_ard_3-1-0_112077_2020-08-06_final
2020-08-22 11:33:32	ga_ls8c_ard_3-1-0_112077_2020-08-22_final
2020-09-07 11:33:40	ga_ls8c_ard_3-1-0_112077_2020-09-07_final
2020-10-13 11:09:28	ga_ls8c_ard_3-1-0_108078_2020-10-13_final
2020-12-30 09:42:31	ga_ls8c_ard_3-2-0_094077_2020-12-30_final
2021-03-11 08:10:36	ga_ls8c_ard_3-2-1_079080_2021-03-10_final
2021-05-30 09:48:31	ga_ls8c_ard_3-2-0_095078_2021-05-30_final
2021-06-15 09:48:14	ga_ls8c_ard_3-2-0_095077_2021-06-15_final
2021-08-18 09:48:57	ga_ls8c_ard_3-2-0_095078_2021-08-18_final
2021-08-25 11:33:39	ga_ls8c_ard_3-2-0_112077_2021-08-25_final
2022-11-06 10:59:25	ga_ls8c_ard_3-2-1_106083_2022-11-06_final
2023-03-04 10:18:32	ga_ls8c_ard_3-2-1_100075_2023-03-04_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years