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
2013-04-03 09:50:37	ga_ls8c_ard_3-0-0_095078_2013-04-03_final
2013-04-08 09:47:16	ga_ls8c_ard_3-0-0_094079_2013-04-08_final
2013-04-15 09:46:26	ga_ls8c_ard_3-0-0_094083_2013-04-15_final
2013-08-12 09:51:12	ga_ls8c_ard_3-0-0_095079_2013-08-12_final
2013-08-28 09:51:15	ga_ls8c_ard_3-0-0_095079_2013-08-28_final
2013-09-13 09:50:47	ga_ls8c_ard_3-0-0_095078_2013-09-13_final
2013-09-13 09:51:59	ga_ls8c_ard_3-0-0_095081_2013-09-13_final
2013-12-18 09:49:29	ga_ls8c_ard_3-0-0_095076_2013-12-18_final
2014-03-17 09:45:06	ga_ls8c_ard_3-0-0_094083_2014-03-17_final
2014-04-25 09:48:15	ga_ls8c_ard_3-0-0_095077_2014-04-25_final
2014-05-11 09:49:11	ga_ls8c_ard_3-0-0_095080_2014-05-11_final
2014-06-05 09:42:40	ga_ls8c_ard_3-0-0_094079_2014-06-05_final
2014-09-16 09:49:20	ga_ls8c_ard_3-0-0_095079_2014-09-16_final
2014-10-02 09:48:34	ga_ls8c_ard_3-0-0_095077_2014-10-02_final
2014-10-02 09:49:22	ga_ls8c_ard_3-0-0_095079_2014-10-02_final
2014-10-18 09:49:26	ga_ls8c_ard_3-0-0_095079_2014-10-18_final
2015-03-27 09:47:54	ga_ls8c_ard_3-0-0_095077_2015-03-27_final
2015-08-27 09:42:48	ga_ls8c_ard_3-0-0_094079_2015-08-27_final
2015-09-03 09:48:13	ga_ls8c_ard_3-0-0_095077_2015-09-03_final
2015-10-21 09:48:51	ga_ls8c_ard_3-0-0_095078_2015-10-21_final
2016-03-29 09:48:29	ga_ls8c_ard_3-0-0_095078_2016-03-29_final
2016-04-14 09:47:59	ga_ls8c_ard_3-0-0_095077_2016-04-14_final
2016-07-03 09:48:40	ga_ls8c_ard_3-0-0_095078_2016-07-03_final
2016-07-19 09:52:22	ga_ls8c_ard_3-0-0_095087_2016-07-19_final
2016-08-20 09:48:30	ga_ls8c_ard_3-0-0_095077_2016-08-20_final
2017-03-16 09:48:31	ga_ls8c_ard_3-0-0_095078_2017-03-16_final
2017-04-01 09:47:58	ga_ls8c_ard_3-0-0_095077_2017-04-01_final
2017-05-03 09:48:04	ga_ls8c_ard_3-0-0_095078_2017-05-03_final
2017-09-08 09:48:31	ga_ls8c_ard_3-0-0_095077_2017-09-08_final
2017-11-11 08:10:59	ga_ls8c_ard_3-2-1_079080_2017-11-10_final
2018-05-06 09:47:31	ga_ls8c_ard_3-0-0_095077_2018-05-06_final
2018-05-06 09:47:55	ga_ls8c_ard_3-0-0_095078_2018-05-06_final
2018-07-09 09:47:31	ga_ls8c_ard_3-0-0_095077_2018-07-09_final
2018-09-11 09:48:00	ga_ls8c_ard_3-0-0_095077_2018-09-11_final
2018-09-27 09:48:30	ga_ls8c_ard_3-0-0_095078_2018-09-27_final
2019-07-12 09:48:20	ga_ls8c_ard_3-1-0_095077_2019-07-12_final
2019-07-12 09:48:44	ga_ls8c_ard_3-1-0_095078_2019-07-12_final
2019-07-28 09:48:49	ga_ls8c_ard_3-1-0_095078_2019-07-28_final
2019-08-29 09:48:59	ga_ls8c_ard_3-1-0_095078_2019-08-29_final
2020-04-25 09:47:55	ga_ls8c_ard_3-1-0_095077_2020-04-25_final
2020-08-31 09:48:33	ga_ls8c_ard_3-1-0_095077_2020-08-31_final
2020-08-31 09:48:57	ga_ls8c_ard_3-1-0_095078_2020-08-31_final
2021-03-11 08:10:36	ga_ls8c_ard_3-2-1_079080_2021-03-10_final
2021-03-18 11:33:17	ga_ls8c_ard_3-2-0_112077_2021-03-18_final
2021-04-29 10:30:50	ga_ls8c_ard_3-2-0_102076_2021-04-29_final
2021-05-14 09:47:58	ga_ls8c_ard_3-2-0_095077_2021-05-14_final
2021-05-14 09:48:22	ga_ls8c_ard_3-2-0_095078_2021-05-14_final
2021-05-15 10:30:51	ga_ls8c_ard_3-2-0_102076_2021-05-15_final
2021-05-21 11:33:31	ga_ls8c_ard_3-2-0_112078_2021-05-21_final
2021-05-23 11:21:10	ga_ls8c_ard_3-2-0_110078_2021-05-23_final
2021-05-30 09:48:08	ga_ls8c_ard_3-2-0_095077_2021-05-30_final
2021-06-02 08:42:10	ga_ls8c_ard_3-2-1_084082_2021-06-01_final
2021-06-22 11:33:20	ga_ls8c_ard_3-2-0_112077_2021-06-22_final
2021-06-24 11:21:23	ga_ls8c_ard_3-2-0_110078_2021-06-24_final
2021-07-08 11:34:10	ga_ls8c_ard_3-2-0_112079_2021-07-08_final
2021-07-17 09:48:19	ga_ls8c_ard_3-2-0_095077_2021-07-17_final
2021-07-24 11:33:51	ga_ls8c_ard_3-2-0_112078_2021-07-24_final
2021-07-26 11:21:31	ga_ls8c_ard_3-2-0_110078_2021-07-26_final
2021-07-31 10:00:24	ga_ls8c_ard_3-2-0_097076_2021-07-31_final
2021-08-02 09:48:28	ga_ls8c_ard_3-2-0_095077_2021-08-02_final
2021-08-15 10:58:55	ga_ls8c_ard_3-2-0_106083_2021-08-15_final
2021-08-16 10:00:31	ga_ls8c_ard_3-2-0_097076_2021-08-16_final
2021-09-01 10:00:35	ga_ls8c_ard_3-2-0_097076_2021-09-01_final
2021-09-03 09:49:02	ga_ls8c_ard_3-2-0_095078_2021-09-03_final
2021-09-17 10:00:39	ga_ls8c_ard_3-2-0_097076_2021-09-17_final
2021-09-19 09:49:05	ga_ls8c_ard_3-2-0_095078_2021-09-19_final
2021-09-26 11:33:47	ga_ls8c_ard_3-2-0_112077_2021-09-26_final
2021-09-28 09:42:57	ga_ls8c_ard_3-2-0_094078_2021-09-28_final
2021-11-17 11:09:05	ga_ls8c_ard_3-2-0_108077_2021-11-17_final
2021-11-24 09:37:59	ga_ls8c_ard_3-2-0_093081_2021-11-24_final
2022-01-04 11:09:23	ga_ls8c_ard_3-2-1_108078_2022-01-04_final
2022-02-05 11:08:52	ga_ls8c_ard_3-2-1_108077_2022-02-05_final
2022-02-21 11:08:46	ga_ls8c_ard_3-2-1_108077_2022-02-21_final
2022-03-21 11:33:44	ga_ls8c_ard_3-2-1_112078_2022-03-21_final
2022-05-05 11:04:24	ga_ls8c_ard_3-2-1_107082_2022-05-05_final
2022-05-23 09:15:39	ga_ls8c_ard_3-2-1_089088_2022-05-22_final
2022-06-04 11:16:09	ga_ls8c_ard_3-2-1_109080_2022-06-04_final
2022-06-28 10:26:31	ga_ls8c_ard_3-2-1_101079_2022-06-28_final
2022-07-04 09:48:15	ga_ls8c_ard_3-2-1_095076_2022-07-04_final
2022-07-29 11:24:41	ga_ls8c_ard_3-2-1_110085_2022-07-29_final
2022-08-12 11:34:22	ga_ls8c_ard_3-2-1_112078_2022-08-12_final
2022-11-06 10:59:25	ga_ls8c_ard_3-2-1_106083_2022-11-06_final
2023-01-10 09:58:45	ga_ls8c_ard_3-2-1_097071_2023-01-10_final
2023-02-08 11:09:06	ga_ls8c_ard_3-2-1_108077_2023-02-08_final
2023-03-12 11:08:43	ga_ls8c_ard_3-2-1_108077_2023-03-12_final
2023-04-25 11:32:59	ga_ls8c_ard_3-2-1_112077_2023-04-25_final
2023-05-11 11:32:23	ga_ls8c_ard_3-2-1_112076_2023-05-11_final
2023-05-20 09:47:40	ga_ls8c_ard_3-2-1_095077_2023-05-20_final
2023-05-20 09:48:04	ga_ls8c_ard_3-2-1_095078_2023-05-20_final
2023-06-28 09:54:08	ga_ls8c_ard_3-2-1_096077_2023-06-28_final
2023-06-28 11:33:02	ga_ls8c_ard_3-2-1_112077_2023-06-28_final
2023-06-28 11:33:49	ga_ls8c_ard_3-2-1_112079_2023-06-28_final
2023-07-07 09:48:04	ga_ls8c_ard_3-2-1_095077_2023-07-07_final
2023-07-08 10:32:08	ga_ls8c_ard_3-2-1_102079_2023-07-08_final
2023-07-18 11:08:51	ga_ls8c_ard_3-2-1_108078_2023-07-18_final
2023-08-06 11:39:06	ga_ls8c_ard_3-2-1_113076_2023-08-06_final
2023-08-08 09:48:15	ga_ls8c_ard_3-2-1_095077_2023-08-08_final
2023-08-24 09:48:23	ga_ls8c_ard_3-2-1_095077_2023-08-24_final
2023-09-09 09:48:47	ga_ls8c_ard_3-2-1_095078_2023-09-09_final
2023-10-02 11:33:35	ga_ls8c_ard_3-2-1_112077_2023-10-02_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years