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
2013-06-02 09:47:52	ga_ls8c_ard_3-0-0_094086_2013-06-02_final
2013-06-27 11:14:52	ga_ls8c_ard_3-0-0_109072_2013-06-27_final
2013-08-10 11:39:40	ga_ls8c_ard_3-0-0_113072_2013-08-10_final
2013-08-21 11:19:57	ga_ls8c_ard_3-0-0_110069_2013-08-21_final
2014-02-12 10:38:19	ga_ls8c_ard_3-0-0_103076_2014-02-12_final
2014-02-25 10:04:52	ga_ls8c_ard_3-0-0_098070_2014-02-25_final
2014-07-22 10:35:43	ga_ls8c_ard_3-0-0_103072_2014-07-22_final
2014-08-22 11:30:45	ga_ls8c_ard_3-0-0_112070_2014-08-22_final
2014-12-09 11:01:29	ga_ls8c_ard_3-0-0_107074_2014-12-09_final
2015-01-11 10:07:47	ga_ls8c_ard_3-0-0_098079_2015-01-11_final
2015-05-30 11:26:22	ga_ls8c_ard_3-0-0_111077_2015-05-30_final
2015-08-11 09:39:54	ga_ls8c_ard_3-0-0_094072_2015-08-11_final
2015-09-26 11:31:28	ga_ls8c_ard_3-0-0_112072_2015-09-26_final
2015-10-03 11:35:40	ga_ls8c_ard_3-0-0_113067_2015-10-03_final
2015-10-21 11:24:09	ga_ls8c_ard_3-0-0_111069_2015-10-21_final
2015-12-08 09:46:08	ga_ls8c_ard_3-0-0_095071_2015-12-08_final
2016-02-06 10:10:21	ga_ls8c_ard_3-0-0_099070_2016-02-06_final
2016-02-10 09:46:48	ga_ls8c_ard_3-0-0_095073_2016-02-10_final
2016-04-21 09:51:19	ga_ls8c_ard_3-0-0_096070_2016-04-21_final
2016-06-30 10:52:14	ga_ls8c_ard_3-0-0_106067_2016-06-30_final
2016-07-25 10:49:48	ga_ls8c_ard_3-0-0_105076_2016-07-25_final
2016-08-14 10:27:32	ga_ls8c_ard_3-0-0_101082_2016-08-14_final
2017-02-06 10:25:52	ga_ls8c_ard_3-0-0_101078_2017-02-06_final
2017-02-28 11:23:57	ga_ls8c_ard_3-0-0_111069_2017-02-28_final
2017-03-14 11:41:46	ga_ls8c_ard_3-0-0_113083_2017-03-14_final
2017-05-20 10:32:45	ga_ls8c_ard_3-0-0_102081_2017-05-20_final
2017-05-26 09:50:56	ga_ls8c_ard_3-0-0_096069_2017-05-26_final
2017-06-27 09:50:21	ga_ls8c_ard_3-0-0_096067_2017-06-27_final
2017-07-20 11:42:18	ga_ls8c_ard_3-0-0_113084_2017-07-20_final
2017-11-02 09:58:04	ga_ls8c_ard_3-0-0_096085_2017-11-02_final
2018-01-14 11:24:09	ga_ls8c_ard_3-0-0_111069_2018-01-14_final
2018-01-28 09:57:53	ga_ls8c_ard_3-0-0_097070_2018-01-28_final
2018-04-01 10:55:02	ga_ls8c_ard_3-0-0_106075_2018-04-01_final
2018-05-31 09:39:01	ga_ls8c_ard_3-0-0_094072_2018-05-31_final
2018-06-07 11:22:53	ga_ls8c_ard_3-0-0_111069_2018-06-07_final
2018-06-10 10:17:20	ga_ls8c_ard_3-0-0_100075_2018-06-10_final
2018-07-10 10:28:00	ga_ls8c_ard_3-0-0_102070_2018-07-10_final
2018-08-01 11:29:58	ga_ls8c_ard_3-0-0_112070_2018-08-01_final
2018-09-06 11:07:31	ga_ls8c_ard_3-0-0_108075_2018-09-06_final
2018-09-26 09:06:02	ga_ls8c_ard_3-0-0_088080_2018-09-25_final
2018-11-19 11:41:46	ga_ls8c_ard_3-0-0_114067_2018-11-19_final
2018-11-21 11:31:24	ga_ls8c_ard_3-0-0_112072_2018-11-21_final
2019-01-10 11:17:46	ga_ls8c_ard_3-0-0_110069_2019-01-10_final
2019-01-10 11:20:09	ga_ls8c_ard_3-0-0_110075_2019-01-10_final
2019-02-08 10:48:46	ga_ls8c_ard_3-0-0_105074_2019-02-08_final
2019-04-30 11:29:17	ga_ls8c_ard_3-0-0_112068_2019-04-30_final
2019-05-05 11:51:04	ga_ls8c_ard_3-0-0_115076_2019-05-05_final
2019-07-09 10:52:19	ga_ls8c_ard_3-1-0_106067_2019-07-09_final
2019-10-28 10:15:31	ga_ls8c_ard_3-1-0_099082_2019-10-28_final
2019-11-13 10:13:52	ga_ls8c_ard_3-1-0_099078_2019-11-13_final
2020-02-21 11:24:06	ga_ls8c_ard_3-1-0_111069_2020-02-21_final
2020-02-21 11:25:42	ga_ls8c_ard_3-1-0_111073_2020-02-21_final
2020-02-28 11:30:39	ga_ls8c_ard_3-1-0_112070_2020-02-28_final
2020-03-14 10:49:40	ga_ls8c_ard_3-1-0_105076_2020-03-14_final
2020-04-07 09:58:49	ga_ls8c_ard_3-1-0_097073_2020-04-07_final
2020-06-01 10:06:50	ga_ls8c_ard_3-1-0_098078_2020-06-01_final
2020-07-05 09:56:23	ga_ls8c_ard_3-1-0_096082_2020-07-05_final
2020-09-23 11:30:57	ga_ls8c_ard_3-1-0_112070_2020-09-23_final
2020-11-18 10:42:20	ga_ls8c_ard_3-1-0_104072_2020-11-18_final
2020-12-01 11:51:57	ga_ls8c_ard_3-1-0_115076_2020-12-01_final
2021-03-10 10:41:32	ga_ls8c_ard_3-2-0_104071_2021-03-10_final
2021-03-16 10:03:35	ga_ls8c_ard_3-2-0_098069_2021-03-16_final
2021-04-10 11:37:22	ga_ls8c_ard_3-2-0_113072_2021-04-10_final
2021-04-28 11:23:40	ga_ls8c_ard_3-2-0_111069_2021-04-28_final
2021-05-09 09:34:10	ga_ls8c_ard_3-2-0_092089_2021-05-09_final
2021-06-13 11:37:28	ga_ls8c_ard_3-2-0_113072_2021-06-13_final
2021-07-27 10:22:42	ga_ls8c_ard_3-2-0_101070_2021-07-27_final
2021-08-20 11:14:18	ga_ls8c_ard_3-2-0_109075_2021-08-20_final
2021-08-21 10:19:28	ga_ls8c_ard_3-2-0_100077_2021-08-21_final
2021-08-25 09:50:47	ga_ls8c_ard_3-2-0_096067_2021-08-25_final
2021-10-13 10:34:40	ga_ls8c_ard_3-2-0_103068_2021-10-13_final
2021-10-21 11:24:55	ga_ls8c_ard_3-2-0_111070_2021-10-21_final
2021-10-23 11:17:21	ga_ls8c_ard_3-2-0_109082_2021-10-23_final
2021-12-04 10:10:17	ga_ls8c_ard_3-2-0_099069_2021-12-04_final
2021-12-18 10:23:01	ga_ls8c_ard_3-2-1_101070_2021-12-18_final
2021-12-24 11:24:24	ga_ls8c_ard_3-2-1_111069_2021-12-24_final
2022-01-05 10:08:59	ga_ls8c_ard_3-2-1_099066_2022-01-05_final
2022-01-27 11:12:16	ga_ls8c_ard_3-2-1_109070_2022-01-27_final
2022-03-02 12:37:28	ga_ls8c_ard_3-2-1_123067_2022-03-02_final
2022-04-05 10:52:21	ga_ls8c_ard_3-2-1_105083_2022-04-05_final
2022-05-07 10:48:52	ga_ls8c_ard_3-2-1_105074_2022-05-07_final
2022-05-19 09:33:59	ga_ls8c_ard_3-2-1_093072_2022-05-19_final
2022-07-24 11:04:30	ga_ls8c_ard_3-2-1_107081_2022-07-24_final
2022-08-07 11:15:24	ga_ls8c_ard_3-2-1_109077_2022-08-07_final
2022-08-20 09:08:04	ga_ls8c_ard_3-2-1_088083_2022-08-19_final
2022-10-21 09:17:41	ga_ls8c_ard_3-2-1_090076_2022-10-20_final
2022-11-10 10:29:28	ga_ls8c_ard_3-2-1_102070_2022-11-10_final
2023-03-12 09:27:50	ga_ls8c_ard_3-2-1_092072_2023-03-11_final
2023-04-04 09:35:22	ga_ls8c_ard_3-2-1_093076_2023-04-04_final
2023-05-10 09:09:27	ga_ls8c_ard_3-2-1_089074_2023-05-09_final
2023-05-12 10:38:44	ga_ls8c_ard_3-2-1_103081_2023-05-12_final
2023-07-09 09:40:07	ga_ls8c_ard_3-2-1_093088_2023-07-09_final
2023-08-02 10:25:20	ga_ls8c_ard_3-2-1_101077_2023-08-02_final
2023-09-25 09:46:06	ga_ls8c_ard_3-2-1_095071_2023-09-25_final
2023-10-01 10:49:32	ga_ls8c_ard_3-2-1_105075_2023-10-01_final
2023-10-20 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-20_final
2024-02-07 09:58:16	ga_ls8c_ard_3-2-1_096086_2024-02-07_final
2024-02-20 09:22:57	ga_ls8c_ard_3-2-1_091075_2024-02-19_final
2024-02-25 11:23:56	ga_ls8c_ard_3-2-1_110084_2024-02-25_final
2024-03-21 11:13:52	ga_ls8c_ard_3-2-1_109075_2024-03-21_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