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
2013-05-29 10:05:24	ga_ls8c_ard_3-0-0_098068_2013-05-29_final
2013-06-25 11:25:14	ga_ls8c_ard_3-0-0_111067_2013-06-25_final
2013-08-30 09:36:29	ga_ls8c_ard_3-0-0_093073_2013-08-30_final
2013-09-28 10:42:18	ga_ls8c_ard_3-0-0_104068_2013-09-28_final
2013-10-11 10:17:48	ga_ls8c_ard_3-0-0_099084_2013-10-11_final
2014-01-31 10:11:48	ga_ls8c_ard_3-0-0_099071_2014-01-31_final
2014-08-24 09:40:18	ga_ls8c_ard_3-0-0_094072_2014-08-24_final
2014-09-28 10:14:02	ga_ls8c_ard_3-0-0_099079_2014-09-28_final
2014-10-11 11:17:19	ga_ls8c_ard_3-0-0_110067_2014-10-11_final
2014-11-05 09:33:52	ga_ls8c_ard_3-0-0_093071_2014-11-05_final
2015-01-26 11:03:19	ga_ls8c_ard_3-0-0_107079_2015-01-26_final
2015-02-16 09:38:02	ga_ls8c_ard_3-0-0_094067_2015-02-16_final
2015-02-19 10:08:57	ga_ls8c_ard_3-0-0_099067_2015-02-19_final
2015-03-22 09:33:48	ga_ls8c_ard_3-0-0_092088_2015-03-22_final
2015-05-14 09:51:24	ga_ls8c_ard_3-0-0_095087_2015-05-14_final
2015-08-11 11:16:47	ga_ls8c_ard_3-0-0_110067_2015-08-11_final
2015-09-10 11:30:33	ga_ls8c_ard_3-0-0_112070_2015-09-10_final
2015-10-14 09:40:14	ga_ls8c_ard_3-0-0_094072_2015-10-14_final
2015-11-24 09:34:12	ga_ls8c_ard_3-0-0_093072_2015-11-24_final
2016-01-05 10:14:00	ga_ls8c_ard_3-0-0_099079_2016-01-05_final
2016-01-20 09:29:09	ga_ls8c_ard_3-0-0_092075_2016-01-19_final
2016-06-12 09:28:21	ga_ls8c_ard_3-0-0_092074_2016-06-11_final
2016-06-14 10:55:17	ga_ls8c_ard_3-0-0_106075_2016-06-14_final
2016-12-08 11:38:45	ga_ls8c_ard_3-0-0_113074_2016-12-08_final
2017-02-05 11:19:07	ga_ls8c_ard_3-0-0_110072_2017-02-05_final
2017-02-23 09:28:57	ga_ls8c_ard_3-0-0_092075_2017-02-22_final
2017-04-28 09:32:46	ga_ls8c_ard_3-0-0_092086_2017-04-28_final
2017-08-28 11:47:31	ga_ls8c_ard_3-0-0_114081_2017-08-28_final
2017-08-29 10:49:06	ga_ls8c_ard_3-0-0_105074_2017-08-29_final
2017-09-08 09:46:31	ga_ls8c_ard_3-0-0_095072_2017-09-08_final
2017-10-10 11:24:46	ga_ls8c_ard_3-0-0_111070_2017-10-10_final
2017-11-07 11:52:41	ga_ls8c_ard_3-0-0_115078_2017-11-07_final
2017-11-25 09:57:45	ga_ls8c_ard_3-0-0_097069_2017-11-25_final
2018-01-09 09:34:21	ga_ls8c_ard_3-0-0_092088_2018-01-09_final
2018-01-20 10:49:01	ga_ls8c_ard_3-0-0_105074_2018-01-20_final
2018-02-19 11:03:32	ga_ls8c_ard_3-0-0_107080_2018-02-19_final
2018-02-21 10:49:10	ga_ls8c_ard_3-0-0_105075_2018-02-21_final
2018-03-15 10:09:30	ga_ls8c_ard_3-0-0_099069_2018-03-15_final
2018-05-06 11:23:12	ga_ls8c_ard_3-0-0_111069_2018-05-06_final
2018-05-06 11:23:36	ga_ls8c_ard_3-0-0_111070_2018-05-06_final
2018-05-08 11:13:13	ga_ls8c_ard_3-0-0_109075_2018-05-08_final
2018-08-26 11:24:00	ga_ls8c_ard_3-0-0_111070_2018-08-26_final
2018-09-22 09:28:19	ga_ls8c_ard_3-0-0_092074_2018-09-21_final
2018-10-22 09:38:06	ga_ls8c_ard_3-0-0_094067_2018-10-22_final
2018-10-25 11:52:18	ga_ls8c_ard_3-0-0_115078_2018-10-25_final
2019-03-03 10:55:15	ga_ls8c_ard_3-0-0_106075_2019-03-03_final
2019-03-06 09:45:16	ga_ls8c_ard_3-0-0_095070_2019-03-06_final
2019-03-31 09:37:46	ga_ls8c_ard_3-1-0_094067_2019-03-31_final
2019-05-20 11:07:10	ga_ls8c_ard_3-0-0_108074_2019-05-20_final
2019-07-05 09:45:44	ga_ls8c_ard_3-1-0_094086_2019-07-05_final
2019-07-21 11:20:16	ga_ls8c_ard_3-1-0_110075_2019-07-21_final
2019-09-07 11:18:32	ga_ls8c_ard_3-1-0_110070_2019-09-07_final
2019-09-25 09:28:59	ga_ls8c_ard_3-1-0_092074_2019-09-24_final
2019-11-10 09:38:36	ga_ls8c_ard_3-1-0_094067_2019-11-10_final
2019-12-31 10:08:57	ga_ls8c_ard_3-2-1_099066_2019-12-31_final
2020-01-16 10:10:30	ga_ls8c_ard_3-1-0_099070_2020-01-16_final
2020-01-18 09:58:08	ga_ls8c_ard_3-1-0_097070_2020-01-18_final
2020-02-17 10:13:57	ga_ls8c_ard_3-1-0_099079_2020-02-17_final
2020-03-01 11:19:52	ga_ls8c_ard_3-1-0_110074_2020-03-01_final
2020-03-08 09:46:19	ga_ls8c_ard_3-1-0_095072_2020-03-08_final
2020-03-31 11:30:22	ga_ls8c_ard_3-1-0_112070_2020-03-31_final
2020-03-31 11:31:10	ga_ls8c_ard_3-1-0_112072_2020-03-31_final
2020-04-23 09:57:30	ga_ls8c_ard_3-1-0_097070_2020-04-23_final
2020-05-08 10:54:59	ga_ls8c_ard_3-1-0_106075_2020-05-08_final
2020-06-06 10:27:02	ga_ls8c_ard_3-1-0_101082_2020-06-06_final
2020-06-07 09:34:13	ga_ls8c_ard_3-1-0_092089_2020-06-07_final
2021-03-27 09:46:12	ga_ls8c_ard_3-2-0_095072_2021-03-27_final
2021-04-03 11:32:02	ga_ls8c_ard_3-2-0_112074_2021-04-03_final
2021-04-28 09:45:59	ga_ls8c_ard_3-2-0_095072_2021-04-28_final
2021-05-25 11:10:49	ga_ls8c_ard_3-2-0_108083_2021-05-25_final
2021-06-21 10:48:52	ga_ls8c_ard_3-2-0_105074_2021-06-21_final
2021-07-23 09:15:41	ga_ls8c_ard_3-2-0_089088_2021-07-22_final
2021-09-10 09:58:26	ga_ls8c_ard_3-2-0_096086_2021-09-10_final
2021-09-28 11:23:26	ga_ls8c_ard_3-2-0_110082_2021-09-28_final
2021-12-15 09:57:43	ga_ls8c_ard_3-2-1_096084_2021-12-15_final
2022-01-16 09:52:00	ga_ls8c_ard_3-2-1_096070_2022-01-16_final
2022-01-22 12:31:27	ga_ls8c_ard_3-2-1_122067_2022-01-22_final
2022-01-25 11:25:51	ga_ls8c_ard_3-2-1_111073_2022-01-25_final
2022-04-12 09:16:31	ga_ls8c_ard_3-2-1_090075_2022-04-11_final
2022-04-17 09:34:17	ga_ls8c_ard_3-2-1_093073_2022-04-17_final
2022-05-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2022-05-17_final
2022-06-17 09:07:43	ga_ls8c_ard_3-2-1_088083_2022-06-16_final
2022-09-10 09:22:17	ga_ls8c_ard_3-2-1_091072_2022-09-09_final
2022-11-26 10:33:49	ga_ls8c_ard_3-2-1_102081_2022-11-26_final
2022-12-29 09:34:51	ga_ls8c_ard_3-2-1_093073_2022-12-29_final
2023-01-13 10:29:37	ga_ls8c_ard_3-2-1_102071_2023-01-13_final
2023-03-04 10:19:44	ga_ls8c_ard_3-2-1_100078_2023-03-04_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-03-22 10:09:36	ga_ls8c_ard_3-2-1_098084_2023-03-22_final
2023-05-01 10:52:16	ga_ls8c_ard_3-2-1_106068_2023-05-01_final
2023-05-06 09:38:39	ga_ls8c_ard_3-2-1_093085_2023-05-06_final
2023-08-09 10:27:56	ga_ls8c_ard_3-2-1_102068_2023-08-09_final
2023-08-14 09:13:37	ga_ls8c_ard_3-2-1_089083_2023-08-13_final
2023-09-04 09:33:50	ga_ls8c_ard_3-2-1_092087_2023-09-04_final
2023-10-27 11:24:42	ga_ls8c_ard_3-2-1_111070_2023-10-27_final
2023-11-25 10:53:02	ga_ls8c_ard_3-2-1_106068_2023-11-25_final
2023-11-28 11:24:19	ga_ls8c_ard_3-2-1_111069_2023-11-28_final
2024-02-04 09:22:34	ga_ls8c_ard_3-2-1_091074_2024-02-03_final
2024-02-07 09:58:16	ga_ls8c_ard_3-2-1_096086_2024-02-07_final
2024-02-20 09:22:33	ga_ls8c_ard_3-2-1_091074_2024-02-19_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