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
2013-04-20 11:41:02	ga_ls8c_ard_3-0-0_113076_2013-04-20_final
2013-04-29 11:36:02	ga_ls8c_ard_3-0-0_112079_2013-04-29_final
2013-05-31 11:36:19	ga_ls8c_ard_3-0-0_112079_2013-05-31_final
2013-06-07 11:42:04	ga_ls8c_ard_3-0-0_113078_2013-06-07_final
2013-07-02 11:36:14	ga_ls8c_ard_3-0-0_112079_2013-07-02_final
2013-07-07 11:54:47	ga_ls8c_ard_3-0-0_115079_2013-07-07_final
2013-07-09 11:40:50	ga_ls8c_ard_3-0-0_113075_2013-07-09_final
2013-07-25 11:40:49	ga_ls8c_ard_3-0-0_113075_2013-07-25_final
2013-08-03 11:36:16	ga_ls8c_ard_3-0-0_112079_2013-08-03_final
2013-08-10 11:42:03	ga_ls8c_ard_3-0-0_113078_2013-08-10_final
2013-08-19 11:36:17	ga_ls8c_ard_3-0-0_112079_2013-08-19_final
2013-10-13 11:43:07	ga_ls8c_ard_3-0-0_113081_2013-10-13_final
2014-04-07 11:39:23	ga_ls8c_ard_3-0-0_113076_2014-04-07_final
2014-04-07 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-04-07_final
2014-04-16 11:33:48	ga_ls8c_ard_3-0-0_112078_2014-04-16_final
2014-07-21 11:34:08	ga_ls8c_ard_3-0-0_112079_2014-07-21_final
2014-08-06 11:34:17	ga_ls8c_ard_3-0-0_112079_2014-08-06_final
2014-08-06 11:35:52	ga_ls8c_ard_3-0-0_112083_2014-08-06_final
2014-08-29 11:39:19	ga_ls8c_ard_3-0-0_113076_2014-08-29_final
2014-09-14 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-09-14_final
2014-09-14 11:40:35	ga_ls8c_ard_3-0-0_113079_2014-09-14_final
2014-09-30 11:40:35	ga_ls8c_ard_3-0-0_113079_2014-09-30_final
2014-10-14 11:53:26	ga_ls8c_ard_3-0-0_115080_2014-10-14_final
2014-10-16 11:40:40	ga_ls8c_ard_3-0-0_113079_2014-10-16_final
2015-03-18 11:33:03	ga_ls8c_ard_3-0-0_112077_2015-03-18_final
2015-05-21 11:33:19	ga_ls8c_ard_3-0-0_112079_2015-05-21_final
2015-07-08 11:33:21	ga_ls8c_ard_3-0-0_112078_2015-07-08_final
2015-08-09 11:33:07	ga_ls8c_ard_3-0-0_112077_2015-08-09_final
2015-09-10 11:33:21	ga_ls8c_ard_3-0-0_112077_2015-09-10_final
2015-09-26 11:33:28	ga_ls8c_ard_3-0-0_112077_2015-09-26_final
2015-11-11 11:47:31	ga_ls8c_ard_3-0-0_114081_2015-11-11_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
2016-07-26 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
2016-09-12 11:33:41	ga_ls8c_ard_3-0-0_112077_2016-09-12_final
2016-09-19 11:37:53	ga_ls8c_ard_3-0-0_113072_2016-09-19_final
2017-04-08 11:32:59	ga_ls8c_ard_3-0-0_112077_2017-04-08_final
2017-06-27 11:33:37	ga_ls8c_ard_3-0-0_112078_2017-06-27_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
2017-09-15 11:33:34	ga_ls8c_ard_3-0-0_112077_2017-09-15_final
2018-03-26 11:32:57	ga_ls8c_ard_3-0-0_112077_2018-03-26_final
2018-04-27 11:32:40	ga_ls8c_ard_3-0-0_112077_2018-04-27_final
2018-05-13 11:32:30	ga_ls8c_ard_3-0-0_112077_2018-05-13_final
2018-05-13 11:32:54	ga_ls8c_ard_3-0-0_112078_2018-05-13_final
2018-05-29 11:32:17	ga_ls8c_ard_3-0-0_112077_2018-05-29_final
2018-05-29 11:32:41	ga_ls8c_ard_3-0-0_112078_2018-05-29_final
2018-06-14 11:32:20	ga_ls8c_ard_3-0-0_112077_2018-06-14_final
2018-06-14 11:32:44	ga_ls8c_ard_3-0-0_112078_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
2018-07-16 11:32:38	ga_ls8c_ard_3-0-0_112077_2018-07-16_final
2018-07-16 11:33:02	ga_ls8c_ard_3-0-0_112078_2018-07-16_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
2018-08-17 11:33:19	ga_ls8c_ard_3-0-0_112078_2018-08-17_final
2018-09-18 11:33:06	ga_ls8c_ard_3-0-0_112077_2018-09-18_final
2019-03-29 11:33:01	ga_ls8c_ard_3-1-0_112077_2019-03-29_final
2019-04-30 11:32:53	ga_ls8c_ard_3-0-0_112077_2019-04-30_final
2019-05-16 11:33:03	ga_ls8c_ard_3-0-0_112077_2019-05-16_final
2019-06-17 11:33:42	ga_ls8c_ard_3-1-0_112078_2019-06-17_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
2020-05-02 11:32:55	ga_ls8c_ard_3-1-0_112077_2020-05-02_final
2020-05-18 11:32:53	ga_ls8c_ard_3-1-0_112077_2020-05-18_final
2020-06-19 11:33:09	ga_ls8c_ard_3-1-0_112077_2020-06-19_final
2020-07-21 11:33:22	ga_ls8c_ard_3-1-0_112077_2020-07-21_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
2021-01-10 09:24:18	ga_ls8c_ard_3-2-0_091078_2021-01-09_final
2021-02-11 11:05:03	ga_ls8c_ard_3-2-0_107083_2021-02-11_final
2021-04-19 11:33:07	ga_ls8c_ard_3-2-0_112077_2021-04-19_final
2021-05-21 11:33:07	ga_ls8c_ard_3-2-0_112077_2021-05-21_final
2021-05-30 09:48:08	ga_ls8c_ard_3-2-0_095077_2021-05-30_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
2021-06-23 10:34:55	ga_ls8c_ard_3-2-0_103070_2021-06-23_final
2021-07-17 09:48:43	ga_ls8c_ard_3-2-0_095078_2021-07-17_final
2021-07-23 09:15:41	ga_ls8c_ard_3-2-0_089088_2021-07-22_final
2021-08-09 11:31:59	ga_ls8c_ard_3-2-0_112073_2021-08-09_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
2021-09-03 09:49:02	ga_ls8c_ard_3-2-0_095078_2021-09-03_final
2021-09-10 11:33:44	ga_ls8c_ard_3-2-0_112077_2021-09-10_final
2022-01-04 11:09:23	ga_ls8c_ard_3-2-1_108078_2022-01-04_final
2022-04-06 11:33:14	ga_ls8c_ard_3-2-1_112077_2022-04-06_final
2022-04-22 11:33:16	ga_ls8c_ard_3-2-1_112077_2022-04-22_final
2022-06-25 11:33:42	ga_ls8c_ard_3-2-1_112077_2022-06-25_final
2022-08-08 11:58:40	ga_ls8c_ard_3-2-1_116077_2022-08-08_final
2022-08-12 11:33:58	ga_ls8c_ard_3-2-1_112077_2022-08-12_final
2022-08-28 11:34:00	ga_ls8c_ard_3-2-1_112077_2022-08-28_final
2022-12-18 09:54:38	ga_ls8c_ard_3-2-1_096076_2022-12-18_final
2023-01-09 10:59:10	ga_ls8c_ard_3-2-1_106083_2023-01-09_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