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
2013-04-22 09:50:35	ga_ls8c_ard_3-0-0_095078_2013-04-22_final
2013-06-25 09:50:44	ga_ls8c_ard_3-0-0_095078_2013-06-25_final
2013-06-25 09:51:56	ga_ls8c_ard_3-0-0_095081_2013-06-25_final
2013-07-11 09:50:47	ga_ls8c_ard_3-0-0_095078_2013-07-11_final
2013-07-11 09:51:59	ga_ls8c_ard_3-0-0_095081_2013-07-11_final
2013-07-27 09:50:47	ga_ls8c_ard_3-0-0_095078_2013-07-27_final
2013-08-12 09:50:48	ga_ls8c_ard_3-0-0_095078_2013-08-12_final
2013-08-28 09:52:51	ga_ls8c_ard_3-0-0_095083_2013-08-28_final
2013-10-31 09:50:31	ga_ls8c_ard_3-0-0_095078_2013-10-31_final
2013-12-18 09:50:17	ga_ls8c_ard_3-0-0_095078_2013-12-18_final
2014-01-19 09:49:56	ga_ls8c_ard_3-0-0_095078_2014-01-19_final
2014-04-25 09:49:03	ga_ls8c_ard_3-0-0_095079_2014-04-25_final
2014-05-11 09:48:47	ga_ls8c_ard_3-0-0_095079_2014-05-11_final
2014-05-27 09:47:32	ga_ls8c_ard_3-0-0_095076_2014-05-27_final
2014-05-27 09:49:32	ga_ls8c_ard_3-0-0_095081_2014-05-27_final
2014-06-28 09:47:43	ga_ls8c_ard_3-0-0_095076_2014-06-28_final
2014-09-16 09:48:08	ga_ls8c_ard_3-0-0_095076_2014-09-16_final
2014-12-21 09:48:55	ga_ls8c_ard_3-0-0_095078_2014-12-21_final
2015-07-01 09:48:11	ga_ls8c_ard_3-0-0_095078_2015-07-01_final
2015-11-22 09:48:57	ga_ls8c_ard_3-0-0_095078_2015-11-22_final
2016-02-26 09:48:42	ga_ls8c_ard_3-0-0_095078_2016-02-26_final
2016-03-13 09:48:15	ga_ls8c_ard_3-0-0_095077_2016-03-13_final
2016-03-13 09:48:39	ga_ls8c_ard_3-0-0_095078_2016-03-13_final
2016-03-29 09:48:29	ga_ls8c_ard_3-0-0_095078_2016-03-29_final
2016-08-04 09:48:25	ga_ls8c_ard_3-0-0_095077_2016-08-04_final
2017-02-12 09:48:21	ga_ls8c_ard_3-0-0_095077_2017-02-12_final
2017-02-28 09:48:40	ga_ls8c_ard_3-0-0_095078_2017-02-28_final
2017-07-06 09:48:11	ga_ls8c_ard_3-0-0_095077_2017-07-06_final
2017-09-24 09:48:35	ga_ls8c_ard_3-0-0_095077_2017-09-24_final
2017-10-10 09:48:40	ga_ls8c_ard_3-0-0_095077_2017-10-10_final
2018-03-19 09:47:56	ga_ls8c_ard_3-0-0_095077_2018-03-19_final
2018-05-06 09:47:55	ga_ls8c_ard_3-0-0_095078_2018-05-06_final
2018-08-10 09:48:11	ga_ls8c_ard_3-0-0_095078_2018-08-10_final
2018-10-29 09:48:42	ga_ls8c_ard_3-0-0_095078_2018-10-29_final
2019-03-22 09:47:59	ga_ls8c_ard_3-1-0_095077_2019-03-22_final
2019-03-22 09:48:22	ga_ls8c_ard_3-1-0_095078_2019-03-22_final
2019-06-26 09:48:17	ga_ls8c_ard_3-1-0_095077_2019-06-26_final
2019-07-12 09:48:20	ga_ls8c_ard_3-1-0_095077_2019-07-12_final
2019-07-28 09:48:25	ga_ls8c_ard_3-1-0_095077_2019-07-28_final
2019-08-13 09:48:31	ga_ls8c_ard_3-1-0_095077_2019-08-13_final
2019-08-29 09:48:35	ga_ls8c_ard_3-1-0_095077_2019-08-29_final
2019-09-14 09:48:40	ga_ls8c_ard_3-1-0_095077_2019-09-14_final
2020-04-25 09:47:55	ga_ls8c_ard_3-1-0_095077_2020-04-25_final
2020-05-11 09:47:48	ga_ls8c_ard_3-1-0_095077_2020-05-11_final
2020-06-28 09:48:33	ga_ls8c_ard_3-1-0_095078_2020-06-28_final
2020-07-30 08:10:39	ga_ls8c_ard_3-2-1_079080_2020-07-29_final
2020-07-30 09:48:44	ga_ls8c_ard_3-1-0_095078_2020-07-30_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
2020-09-16 09:48:39	ga_ls8c_ard_3-1-0_095077_2020-09-16_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years