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
2013-05-04 11:54:37	ga_ls8c_ard_3-0-0_115079_2013-05-04_final
2013-05-13 11:47:46	ga_ls8c_ard_3-0-0_114077_2013-05-13_final
2013-05-31 11:36:19	ga_ls8c_ard_3-0-0_112079_2013-05-31_final
2013-07-02 11:36:14	ga_ls8c_ard_3-0-0_112079_2013-07-02_final
2014-01-08 11:48:43	ga_ls8c_ard_3-0-0_114081_2014-01-08_final
2014-03-15 11:34:22	ga_ls8c_ard_3-0-0_112078_2014-03-15_final
2014-04-07 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-04-07_final
2014-07-21 11:34:08	ga_ls8c_ard_3-0-0_112079_2014-07-21_final
2014-08-13 11:40:30	ga_ls8c_ard_3-0-0_113079_2014-08-13_final
2014-08-29 11:39:19	ga_ls8c_ard_3-0-0_113076_2014-08-29_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
2015-05-05 11:33:25	ga_ls8c_ard_3-0-0_112079_2015-05-05_final
2015-07-08 11:33:21	ga_ls8c_ard_3-0-0_112078_2015-07-08_final
2015-09-06 11:58:02	ga_ls8c_ard_3-0-0_116077_2015-09-06_final
2015-10-08 11:58:12	ga_ls8c_ard_3-0-0_116077_2015-10-08_final
2015-11-09 11:57:30	ga_ls8c_ard_3-0-0_116075_2015-11-09_final
2016-01-12 11:57:28	ga_ls8c_ard_3-0-0_116075_2016-01-12_final
2016-02-13 11:57:21	ga_ls8c_ard_3-0-0_116075_2016-02-13_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
2016-08-11 11:34:17	ga_ls8c_ard_3-0-0_112079_2016-08-11_final
2016-10-10 11:58:29	ga_ls8c_ard_3-0-0_116077_2016-10-10_final
2017-02-26 11:39:31	ga_ls8c_ard_3-0-0_113077_2017-02-26_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
2017-07-13 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
2017-08-30 11:33:58	ga_ls8c_ard_3-0-0_112078_2017-08-30_final
2017-10-17 11:33:45	ga_ls8c_ard_3-0-0_112077_2017-10-17_final
2017-12-04 11:33:37	ga_ls8c_ard_3-0-0_112077_2017-12-04_final
2018-05-13 11:32:54	ga_ls8c_ard_3-0-0_112078_2018-05-13_final
2018-05-29 11:32:41	ga_ls8c_ard_3-0-0_112078_2018-05-29_final
2018-06-14 11:32:44	ga_ls8c_ard_3-0-0_112078_2018-06-14_final
2018-06-14 11:33:08	ga_ls8c_ard_3-0-0_112079_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 11:33:09	ga_ls8c_ard_3-0-0_112078_2018-08-01_final
2019-04-30 11:32:53	ga_ls8c_ard_3-0-0_112077_2019-04-30_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
2020-06-19 11:33:09	ga_ls8c_ard_3-1-0_112077_2020-06-19_final
2020-07-30 08:10:39	ga_ls8c_ard_3-2-1_079080_2020-07-29_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
2020-10-16 11:42:46	ga_ls8c_ard_3-1-0_113084_2020-10-16_final
2020-11-01 11:39:58	ga_ls8c_ard_3-1-0_113077_2020-11-01_final
2021-01-25 08:42:33	ga_ls8c_ard_3-2-1_084082_2021-01-24_final
2021-03-17 09:09:57	ga_ls8c_ard_3-2-0_089074_2021-03-16_final
2021-04-07 11:08:53	ga_ls8c_ard_3-2-0_108078_2021-04-07_final
2021-04-28 09:47:58	ga_ls8c_ard_3-2-0_095077_2021-04-28_final
2021-05-14 09:47:58	ga_ls8c_ard_3-2-0_095077_2021-05-14_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
2021-06-02 08:42:10	ga_ls8c_ard_3-2-1_084082_2021-06-01_final
2021-07-08 11:33:22	ga_ls8c_ard_3-2-0_112077_2021-07-08_final
2021-07-17 09:48:19	ga_ls8c_ard_3-2-0_095077_2021-07-17_final
2021-07-17 09:48:43	ga_ls8c_ard_3-2-0_095078_2021-07-17_final
2021-08-21 08:42:35	ga_ls8c_ard_3-2-1_084082_2021-08-20_final
2021-08-29 11:09:21	ga_ls8c_ard_3-2-0_108078_2021-08-29_final
2021-09-03 09:48:38	ga_ls8c_ard_3-2-0_095077_2021-09-03_final
2021-09-19 09:48:41	ga_ls8c_ard_3-2-0_095077_2021-09-19_final
2021-10-10 10:06:57	ga_ls8c_ard_3-2-0_098076_2021-10-10_final
2021-10-20 10:45:39	ga_ls8c_ard_3-2-0_104080_2021-10-20_final
2021-11-25 10:18:03	ga_ls8c_ard_3-2-0_100073_2021-11-25_final
2021-12-06 10:00:19	ga_ls8c_ard_3-2-1_097075_2021-12-06_final
2022-04-15 09:48:14	ga_ls8c_ard_3-2-1_095077_2022-04-15_final
2022-05-30 12:31:14	ga_ls8c_ard_3-2-1_122067_2022-05-30_final
2022-06-18 09:48:36	ga_ls8c_ard_3-2-1_095077_2022-06-18_final
2022-06-25 11:33:42	ga_ls8c_ard_3-2-1_112077_2022-06-25_final
2022-08-10 11:47:55	ga_ls8c_ard_3-2-1_114081_2022-08-10_final
2022-08-21 09:48:56	ga_ls8c_ard_3-2-1_095077_2022-08-21_final
2022-09-01 11:08:52	ga_ls8c_ard_3-2-1_108076_2022-09-01_final
2022-09-01 11:09:40	ga_ls8c_ard_3-2-1_108078_2022-09-01_final
2022-12-22 09:32:14	ga_ls8c_ard_3-2-1_092082_2022-12-22_final
2023-02-16 08:42:40	ga_ls8c_ard_3-2-1_084082_2023-02-15_final
2023-03-04 10:18:32	ga_ls8c_ard_3-2-1_100075_2023-03-04_final
2023-03-20 08:42:19	ga_ls8c_ard_3-2-1_084082_2023-03-19_final
2023-04-02 09:48:33	ga_ls8c_ard_3-2-1_095078_2023-04-02_final
2023-05-02 09:57:02	ga_ls8c_ard_3-2-1_097069_2023-05-02_final
2023-05-04 09:47:50	ga_ls8c_ard_3-2-1_095077_2023-05-04_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
2023-06-05 09:48:33	ga_ls8c_ard_3-2-1_095079_2023-06-05_final
2023-06-25 11:04:04	ga_ls8c_ard_3-2-1_107082_2023-06-25_final
2023-07-20 10:58:28	ga_ls8c_ard_3-2-1_106083_2023-07-20_final
2023-08-01 11:24:08	ga_ls8c_ard_3-2-1_110085_2023-08-01_final
2023-08-08 09:48:39	ga_ls8c_ard_3-2-1_095078_2023-08-08_final
2023-08-19 11:09:06	ga_ls8c_ard_3-2-1_108078_2023-08-19_final
2023-08-24 09:48:23	ga_ls8c_ard_3-2-1_095077_2023-08-24_final
2023-08-24 09:48:47	ga_ls8c_ard_3-2-1_095078_2023-08-24_final
2023-09-09 09:48:23	ga_ls8c_ard_3-2-1_095077_2023-09-09_final
2023-09-09 09:48:47	ga_ls8c_ard_3-2-1_095078_2023-09-09_final
2023-11-12 08:10:52	ga_ls8c_ard_3-2-1_079080_2023-11-11_final
2024-01-29 09:58:24	ga_ls8c_ard_3-2-1_097071_2024-01-29_final
2024-02-11 11:09:14	ga_ls8c_ard_3-2-1_108078_2024-02-11_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