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
2013-04-29 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
2013-05-13 11:47:46	ga_ls8c_ard_3-0-0_114077_2013-05-13_final
2013-05-24 11:29:44	ga_ls8c_ard_3-0-0_111078_2013-05-24_final
2013-06-09 11:29:42	ga_ls8c_ard_3-0-0_111078_2013-06-09_final
2013-06-09 11:30:06	ga_ls8c_ard_3-0-0_111079_2013-06-09_final
2013-06-11 11:17:44	ga_ls8c_ard_3-0-0_109079_2013-06-11_final
2013-06-20 11:11:04	ga_ls8c_ard_3-0-0_108078_2013-06-20_final
2013-06-30 11:48:11	ga_ls8c_ard_3-0-0_114078_2013-06-30_final
2013-07-09 11:40:50	ga_ls8c_ard_3-0-0_113075_2013-07-09_final
2013-07-18 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-07-18_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
2013-08-12 11:30:05	ga_ls8c_ard_3-0-0_111079_2013-08-12_final
2013-08-19 11:35:53	ga_ls8c_ard_3-0-0_112078_2013-08-19_final
2013-09-24 11:10:38	ga_ls8c_ard_3-0-0_108077_2013-09-24_final
2013-10-26 11:10:29	ga_ls8c_ard_3-0-0_108077_2013-10-26_final
2014-01-14 11:09:55	ga_ls8c_ard_3-0-0_108077_2014-01-14_final
2014-03-03 11:09:19	ga_ls8c_ard_3-0-0_108077_2014-03-03_final
2014-04-07 11:39:23	ga_ls8c_ard_3-0-0_113076_2014-04-07_final
2014-04-13 11:03:23	ga_ls8c_ard_3-0-0_107079_2014-04-13_final
2014-04-16 11:33:48	ga_ls8c_ard_3-0-0_112078_2014-04-16_final
2014-05-18 11:32:59	ga_ls8c_ard_3-0-0_112077_2014-05-18_final
2014-05-29 11:15:17	ga_ls8c_ard_3-0-0_109079_2014-05-29_final
2014-06-01 11:44:38	ga_ls8c_ard_3-0-0_114075_2014-06-01_final
2014-06-28 11:27:00	ga_ls8c_ard_3-0-0_111077_2014-06-28_final
2014-07-09 11:08:59	ga_ls8c_ard_3-0-0_108078_2014-07-09_final
2014-07-12 11:40:42	ga_ls8c_ard_3-0-0_113080_2014-07-12_final
2014-07-14 11:24:45	ga_ls8c_ard_3-0-0_111071_2014-07-14_final
2014-07-23 11:20:35	ga_ls8c_ard_3-0-0_110076_2014-07-23_final
2014-08-01 11:15:41	ga_ls8c_ard_3-0-0_109079_2014-08-01_final
2014-08-01 11:16:29	ga_ls8c_ard_3-0-0_109081_2014-08-01_final
2014-08-06 11:34:17	ga_ls8c_ard_3-0-0_112079_2014-08-06_final
2014-08-06 11:36:16	ga_ls8c_ard_3-0-0_112084_2014-08-06_final
2014-08-15 11:27:21	ga_ls8c_ard_3-0-0_111077_2014-08-15_final
2014-08-22 11:33:08	ga_ls8c_ard_3-0-0_112076_2014-08-22_final
2014-08-24 11:21:11	ga_ls8c_ard_3-0-0_110077_2014-08-24_final
2014-09-09 11:18:27	ga_ls8c_ard_3-0-0_110070_2014-09-09_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
2014-09-30 11:40:35	ga_ls8c_ard_3-0-0_113079_2014-09-30_final
2015-04-21 11:21:16	ga_ls8c_ard_3-0-0_110079_2015-04-21_final
2015-05-21 11:32:31	ga_ls8c_ard_3-0-0_112077_2015-05-21_final
2015-07-03 11:15:08	ga_ls8c_ard_3-0-0_109079_2015-07-03_final
2015-07-19 11:15:17	ga_ls8c_ard_3-0-0_109079_2015-07-19_final
2015-09-26 11:33:28	ga_ls8c_ard_3-0-0_112077_2015-09-26_final
2015-09-30 11:09:09	ga_ls8c_ard_3-0-0_108078_2015-09-30_final
2015-12-15 11:32:00	ga_ls8c_ard_3-0-0_112073_2015-12-15_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
2016-06-17 11:27:23	ga_ls8c_ard_3-0-0_111078_2016-06-17_final
2016-06-19 11:15:27	ga_ls8c_ard_3-0-0_109079_2016-06-19_final
2016-07-26 11:33:52	ga_ls8c_ard_3-0-0_112078_2016-07-26_final
2016-10-02 11:08:59	ga_ls8c_ard_3-0-0_108077_2016-10-02_final
2016-10-14 11:32:11	ga_ls8c_ard_3-0-0_112073_2016-10-14_final
2017-06-11 11:33:08	ga_ls8c_ard_3-0-0_112077_2017-06-11_final
2017-07-13 11:33:40	ga_ls8c_ard_3-0-0_112078_2017-07-13_final
2017-12-08 11:06:30	ga_ls8c_ard_3-0-0_108071_2017-12-08_final
2017-12-13 08:10:52	ga_ls8c_ard_3-2-1_079080_2017-12-12_final
2018-06-14 11:32:20	ga_ls8c_ard_3-0-0_112077_2018-06-14_final
2018-06-30 11:32:54	ga_ls8c_ard_3-0-0_112078_2018-06-30_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 11:33:09	ga_ls8c_ard_3-0-0_112078_2018-08-01_final
2019-03-29 11:33:01	ga_ls8c_ard_3-1-0_112077_2019-03-29_final
2019-07-12 11:27:37	ga_ls8c_ard_3-1-0_111078_2019-07-12_final
2019-09-21 11:33:46	ga_ls8c_ard_3-1-0_112077_2019-09-21_final
2019-12-19 08:11:00	ga_ls8c_ard_3-2-1_079080_2019-12-18_final
2019-12-30 11:06:59	ga_ls8c_ard_3-1-0_108072_2019-12-30_final
2020-01-31 11:08:50	ga_ls8c_ard_3-1-0_108077_2020-01-31_final
2020-05-02 11:32:55	ga_ls8c_ard_3-1-0_112077_2020-05-02_final
2020-05-18 11:31:18	ga_ls8c_ard_3-1-0_112073_2020-05-18_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
2021-04-03 11:33:14	ga_ls8c_ard_3-2-0_112077_2021-04-03_final
2021-04-19 11:33:07	ga_ls8c_ard_3-2-0_112077_2021-04-19_final
2021-09-04 10:31:30	ga_ls8c_ard_3-2-0_102076_2021-09-04_final
2021-09-10 11:33:44	ga_ls8c_ard_3-2-0_112077_2021-09-10_final
2022-01-22 10:58:33	ga_ls8c_ard_3-2-1_106082_2022-01-22_final
2022-01-30 10:05:29	ga_ls8c_ard_3-2-1_098073_2022-01-30_final
2022-04-22 11:33:16	ga_ls8c_ard_3-2-1_112077_2022-04-22_final
2022-12-18 09:54:38	ga_ls8c_ard_3-2-1_096076_2022-12-18_final
2023-03-04 10:18:32	ga_ls8c_ard_3-2-1_100075_2023-03-04_final
2023-03-12 09:29:50	ga_ls8c_ard_3-2-1_092077_2023-03-11_final
2023-04-09 11:33:04	ga_ls8c_ard_3-2-1_112077_2023-04-09_final
2023-05-11 11:32:47	ga_ls8c_ard_3-2-1_112077_2023-05-11_final
2023-06-19 11:38:43	ga_ls8c_ard_3-2-1_113076_2023-06-19_final
2023-07-03 10:14:21	ga_ls8c_ard_3-2-1_099081_2023-07-03_final
2023-07-30 11:33:17	ga_ls8c_ard_3-2-1_112077_2023-07-30_final
2023-08-01 11:24:08	ga_ls8c_ard_3-2-1_110085_2023-08-01_final
2023-08-15 11:33:23	ga_ls8c_ard_3-2-1_112077_2023-08-15_final
2023-09-16 11:33:31	ga_ls8c_ard_3-2-1_112077_2023-09-16_final
2023-10-31 11:04:46	ga_ls8c_ard_3-2-1_107082_2023-10-31_final
2024-01-03 12:37:33	ga_ls8c_ard_3-2-1_123067_2024-01-03_final
2024-03-03 08:10:39	ga_ls8c_ard_3-2-1_079080_2024-03-02_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