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
2013-04-13 11:34:52	ga_ls8c_ard_3-0-0_112076_2013-04-13_final
2013-04-24 11:17:29	ga_ls8c_ard_3-0-0_109079_2013-04-24_final
2013-04-29 11:34:50	ga_ls8c_ard_3-0-0_112076_2013-04-29_final
2013-04-29 11:35:38	ga_ls8c_ard_3-0-0_112078_2013-04-29_final
2013-04-29 11:36:02	ga_ls8c_ard_3-0-0_112079_2013-04-29_final
2013-05-19 11:11:09	ga_ls8c_ard_3-0-0_108078_2013-05-19_final
2013-06-18 11:24:15	ga_ls8c_ard_3-0-0_110080_2013-06-18_final
2013-06-23 11:41:58	ga_ls8c_ard_3-0-0_113078_2013-06-23_final
2013-07-13 11:17:42	ga_ls8c_ard_3-0-0_109079_2013-07-13_final
2013-07-18 11:35:26	ga_ls8c_ard_3-0-0_112077_2013-07-18_final
2013-07-18 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-07-18_final
2013-08-03 11:34:40	ga_ls8c_ard_3-0-0_112075_2013-08-03_final
2013-08-03 11:35:04	ga_ls8c_ard_3-0-0_112076_2013-08-03_final
2013-08-03 11:35:52	ga_ls8c_ard_3-0-0_112078_2013-08-03_final
2013-08-19 11:35:05	ga_ls8c_ard_3-0-0_112076_2013-08-19_final
2013-08-19 11:35:29	ga_ls8c_ard_3-0-0_112077_2013-08-19_final
2013-08-19 11:35:53	ga_ls8c_ard_3-0-0_112078_2013-08-19_final
2013-08-19 11:36:17	ga_ls8c_ard_3-0-0_112079_2013-08-19_final
2013-08-21 11:23:56	ga_ls8c_ard_3-0-0_110079_2013-08-21_final
2013-10-13 11:43:07	ga_ls8c_ard_3-0-0_113081_2013-10-13_final
2014-02-25 11:48:08	ga_ls8c_ard_3-0-0_114081_2014-02-25_final
2014-03-03 11:09:43	ga_ls8c_ard_3-0-0_108078_2014-03-03_final
2014-03-31 11:33:41	ga_ls8c_ard_3-0-0_112077_2014-03-31_final
2014-03-31 11:34:05	ga_ls8c_ard_3-0-0_112078_2014-03-31_final
2014-04-07 11:39:23	ga_ls8c_ard_3-0-0_113076_2014-04-07_final
2014-04-16 11:33:24	ga_ls8c_ard_3-0-0_112077_2014-04-16_final
2014-04-16 11:33:48	ga_ls8c_ard_3-0-0_112078_2014-04-16_final
2014-05-13 11:16:29	ga_ls8c_ard_3-0-0_109082_2014-05-13_final
2014-06-01 11:44:38	ga_ls8c_ard_3-0-0_114075_2014-06-01_final
2014-06-03 11:33:05	ga_ls8c_ard_3-0-0_112077_2014-06-03_final
2014-06-21 11:21:13	ga_ls8c_ard_3-0-0_110078_2014-06-21_final
2014-06-30 11:11:53	ga_ls8c_ard_3-0-0_109070_2014-06-30_final
2014-07-05 11:33:16	ga_ls8c_ard_3-0-0_112077_2014-07-05_final
2014-07-09 11:08:59	ga_ls8c_ard_3-0-0_108078_2014-07-09_final
2014-07-14 11:24:45	ga_ls8c_ard_3-0-0_111071_2014-07-14_final
2014-07-25 11:10:37	ga_ls8c_ard_3-0-0_108082_2014-07-25_final
2014-08-04 11:47:01	ga_ls8c_ard_3-0-0_114080_2014-08-04_final
2014-08-06 11:34:17	ga_ls8c_ard_3-0-0_112079_2014-08-06_final
2014-08-15 11:27:21	ga_ls8c_ard_3-0-0_111077_2014-08-15_final
2014-08-22 11:33:32	ga_ls8c_ard_3-0-0_112077_2014-08-22_final
2014-08-24 11:21:59	ga_ls8c_ard_3-0-0_110079_2014-08-24_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
2014-11-30 11:09:20	ga_ls8c_ard_3-0-0_108078_2014-11-30_final
2015-08-13 11:08:50	ga_ls8c_ard_3-0-0_108078_2015-08-13_final
2015-09-14 11:09:04	ga_ls8c_ard_3-0-0_108078_2015-09-14_final
2015-09-30 11:09:09	ga_ls8c_ard_3-0-0_108078_2015-09-30_final
2015-11-09 11:57:54	ga_ls8c_ard_3-0-0_116076_2015-11-09_final
2016-01-12 11:57:52	ga_ls8c_ard_3-0-0_116076_2016-01-12_final
2016-04-05 11:31:30	ga_ls8c_ard_3-0-0_112073_2016-04-05_final
2016-04-17 11:56:57	ga_ls8c_ard_3-0-0_116075_2016-04-17_final
2016-04-17 11:57:21	ga_ls8c_ard_3-0-0_116076_2016-04-17_final
2016-04-21 11:33:00	ga_ls8c_ard_3-0-0_112077_2016-04-21_final
2016-05-23 11:33:05	ga_ls8c_ard_3-0-0_112077_2016-05-23_final
2016-05-25 11:21:08	ga_ls8c_ard_3-0-0_110078_2016-05-25_final
2016-05-25 11:21:32	ga_ls8c_ard_3-0-0_110079_2016-05-25_final
2016-07-26 11:34:16	ga_ls8c_ard_3-0-0_112079_2016-07-26_final
2016-08-23 11:58:19	ga_ls8c_ard_3-0-0_116077_2016-08-23_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
2016-12-17 11:32:08	ga_ls8c_ard_3-0-0_112073_2016-12-17_final
2017-01-02 11:32:04	ga_ls8c_ard_3-0-0_112073_2017-01-02_final
2017-06-27 11:34:01	ga_ls8c_ard_3-0-0_112079_2017-06-27_final
2017-07-13 11:34:04	ga_ls8c_ard_3-0-0_112079_2017-07-13_final
2017-09-06 11:40:33	ga_ls8c_ard_3-0-0_113079_2017-09-06_final
2017-09-11 11:58:18	ga_ls8c_ard_3-0-0_116077_2017-09-11_final
2017-09-15 11:33:34	ga_ls8c_ard_3-0-0_112077_2017-09-15_final
2017-11-11 08:10:59	ga_ls8c_ard_3-2-1_079080_2017-11-10_final
2017-11-27 08:10:53	ga_ls8c_ard_3-2-1_079080_2017-11-26_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
2018-07-02 11:20:34	ga_ls8c_ard_3-0-0_110078_2018-07-02_final
2018-08-17 11:32:55	ga_ls8c_ard_3-0-0_112077_2018-08-17_final
2018-09-02 11:33:01	ga_ls8c_ard_3-0-0_112077_2018-09-02_final
2018-09-14 11:57:48	ga_ls8c_ard_3-0-0_116077_2018-09-14_final
2018-09-18 11:33:06	ga_ls8c_ard_3-0-0_112077_2018-09-18_final
2018-09-22 11:08:48	ga_ls8c_ard_3-0-0_108078_2018-09-22_final
2020-09-23 11:30:09	ga_ls8c_ard_3-1-0_112068_2020-09-23_final
2020-10-13 11:09:28	ga_ls8c_ard_3-1-0_108078_2020-10-13_final
2021-01-03 09:20:34	ga_ls8c_ard_3-2-0_090084_2021-01-02_final
2021-02-06 10:45:44	ga_ls8c_ard_3-2-0_104081_2021-02-06_final
2021-06-15 09:48:14	ga_ls8c_ard_3-2-0_095077_2021-06-15_final
2021-08-18 09:48:33	ga_ls8c_ard_3-2-0_095077_2021-08-18_final
2021-08-18 09:48:57	ga_ls8c_ard_3-2-0_095078_2021-08-18_final
2021-09-03 09:49:02	ga_ls8c_ard_3-2-0_095078_2021-09-03_final
2021-09-04 10:31:30	ga_ls8c_ard_3-2-0_102076_2021-09-04_final
2021-09-19 09:49:05	ga_ls8c_ard_3-2-0_095078_2021-09-19_final
2021-11-15 09:44:58	ga_ls8c_ard_3-2-0_094083_2021-11-15_final
2021-11-23 10:34:00	ga_ls8c_ard_3-2-0_102082_2021-11-23_final
2022-01-04 11:09:23	ga_ls8c_ard_3-2-1_108078_2022-01-04_final
2022-07-04 09:48:39	ga_ls8c_ard_3-2-1_095077_2022-07-04_final
2022-08-08 11:58:40	ga_ls8c_ard_3-2-1_116077_2022-08-08_final
2022-11-04 09:35:17	ga_ls8c_ard_3-2-1_092089_2022-11-04_final
2023-02-24 11:08:25	ga_ls8c_ard_3-2-1_108076_2023-02-24_final
2023-06-19 11:38:43	ga_ls8c_ard_3-2-1_113076_2023-06-19_final
2023-08-08 09:48:15	ga_ls8c_ard_3-2-1_095077_2023-08-08_final
2023-09-24 10:45:42	ga_ls8c_ard_3-2-1_104081_2023-09-24_final
2023-10-24 12:31:28	ga_ls8c_ard_3-2-1_122067_2023-10-24_final
2023-11-11 10:45:45	ga_ls8c_ard_3-2-1_104081_2023-11-11_final
2024-01-03 12:37:33	ga_ls8c_ard_3-2-1_123067_2024-01-03_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