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
2013-06-25 11:30:49	ga_ls8c_ard_3-0-0_111081_2013-06-25_final
2013-07-23 11:54:22	ga_ls8c_ard_3-0-0_115078_2013-07-23_final
2013-11-09 09:47:09	ga_ls8c_ard_3-0-0_094085_2013-11-09_final
2014-10-16 11:37:53	ga_ls8c_ard_3-0-0_113072_2014-10-16_final
2014-12-03 11:38:38	ga_ls8c_ard_3-0-0_113074_2014-12-03_final
2014-12-14 09:38:19	ga_ls8c_ard_3-0-0_094067_2014-12-14_final
2014-12-21 09:46:32	ga_ls8c_ard_3-0-0_095072_2014-12-21_final
2015-06-08 09:44:38	ga_ls8c_ard_3-0-0_094085_2015-06-08_final
2015-06-15 09:43:42	ga_ls8c_ard_3-0-0_095067_2015-06-15_final
2015-07-17 11:29:38	ga_ls8c_ard_3-0-0_111084_2015-07-17_final
2016-02-01 11:35:55	ga_ls8c_ard_3-0-0_112083_2016-02-01_final
2016-03-27 11:38:09	ga_ls8c_ard_3-0-0_113074_2016-03-27_final
2016-05-16 09:51:33	ga_ls8c_ard_3-0-0_095086_2016-05-16_final
2016-05-28 11:52:51	ga_ls8c_ard_3-0-0_115080_2016-05-28_final
2016-06-01 11:26:33	ga_ls8c_ard_3-0-0_111076_2016-06-01_final
2016-07-15 11:52:21	ga_ls8c_ard_3-0-0_115078_2016-07-15_final
2016-10-23 11:25:38	ga_ls8c_ard_3-0-0_111072_2016-10-23_final
2017-05-18 09:06:12	ga_ls8c_ard_3-1-0_088081_2017-05-17_final
2017-05-19 11:25:10	ga_ls8c_ard_3-0-0_111073_2017-05-19_final
2017-08-07 09:46:24	ga_ls8c_ard_3-0-0_095072_2017-08-07_final
2017-08-07 11:23:42	ga_ls8c_ard_3-0-0_111068_2017-08-07_final
2017-09-01 09:41:08	ga_ls8c_ard_3-0-0_094074_2017-09-01_final
2017-10-01 11:36:29	ga_ls8c_ard_3-0-0_112084_2017-10-01_final
2018-05-05 09:06:16	ga_ls8c_ard_3-0-0_088082_2018-05-04_final
2018-07-23 11:34:52	ga_ls8c_ard_3-0-0_113067_2018-07-23_final
2019-05-23 11:39:18	ga_ls8c_ard_3-0-0_113077_2019-05-23_final
2019-08-22 09:45:11	ga_ls8c_ard_3-1-0_094084_2019-08-22_final
2019-11-17 11:29:13	ga_ls8c_ard_3-1-0_111081_2019-11-17_final
2019-12-26 11:31:43	ga_ls8c_ard_3-1-0_112072_2019-12-26_final
2020-03-08 09:45:31	ga_ls8c_ard_3-1-0_095070_2020-03-08_final
2020-05-14 11:58:00	ga_ls8c_ard_3-1-0_116078_2020-05-14_final
2020-06-01 11:45:43	ga_ls8c_ard_3-1-0_114078_2020-06-01_final
2020-07-07 09:45:14	ga_ls8c_ard_3-1-0_094085_2020-07-07_final
2020-08-06 11:31:26	ga_ls8c_ard_3-1-0_112072_2020-08-06_final
2020-09-12 11:53:26	ga_ls8c_ard_3-1-0_115080_2020-09-12_final
2020-10-30 11:53:07	ga_ls8c_ard_3-1-0_115079_2020-10-30_final
2021-03-06 09:34:11	ga_ls8c_ard_3-2-0_092088_2021-03-06_final
2021-03-15 09:23:32	ga_ls8c_ard_3-2-0_091077_2021-03-14_final
2021-03-31 09:23:27	ga_ls8c_ard_3-2-0_091077_2021-03-30_final
2021-04-07 09:27:36	ga_ls8c_ard_3-2-0_092072_2021-04-06_final
2021-04-16 11:03:50	ga_ls8c_ard_3-2-0_107081_2021-04-16_final
2021-04-17 10:09:48	ga_ls8c_ard_3-2-0_098085_2021-04-17_final
2021-05-02 09:21:13	ga_ls8c_ard_3-2-0_091072_2021-05-01_final
2021-05-15 10:27:39	ga_ls8c_ard_3-2-0_102068_2021-05-15_final
2021-05-20 09:11:45	ga_ls8c_ard_3-2-0_089079_2021-05-19_final
2021-06-21 10:52:27	ga_ls8c_ard_3-2-0_105083_2021-06-21_final
2021-06-24 11:19:23	ga_ls8c_ard_3-2-0_110073_2021-06-24_final
2021-07-26 09:45:01	ga_ls8c_ard_3-2-0_094084_2021-07-26_final
2021-08-18 09:44:34	ga_ls8c_ard_3-2-0_095067_2021-08-18_final
2021-08-30 10:10:32	ga_ls8c_ard_3-2-0_099070_2021-08-30_final
2021-09-16 09:20:59	ga_ls8c_ard_3-2-0_090085_2021-09-15_final
2021-10-16 11:06:22	ga_ls8c_ard_3-2-0_108070_2021-10-16_final
2021-10-21 09:46:50	ga_ls8c_ard_3-2-0_095072_2021-10-21_final
2021-10-25 11:00:12	ga_ls8c_ard_3-2-0_107070_2021-10-25_final
2021-11-15 09:41:22	ga_ls8c_ard_3-2-0_094074_2021-11-15_final
2021-11-28 09:16:28	ga_ls8c_ard_3-2-0_089089_2021-11-27_final
2021-12-12 11:00:55	ga_ls8c_ard_3-2-1_107072_2021-12-12_final
2021-12-22 11:37:58	ga_ls8c_ard_3-2-1_113072_2021-12-22_final
2022-01-16 09:58:23	ga_ls8c_ard_3-2-1_096086_2022-01-16_final
2022-01-29 09:25:25	ga_ls8c_ard_3-2-1_091081_2022-01-28_final
2022-03-23 09:40:28	ga_ls8c_ard_3-2-1_094073_2022-03-23_final
2022-03-29 10:42:10	ga_ls8c_ard_3-2-1_104073_2022-03-29_final
2022-04-02 11:57:31	ga_ls8c_ard_3-2-1_116076_2022-04-02_final
2022-04-24 09:42:49	ga_ls8c_ard_3-2-1_094079_2022-04-24_final
2022-05-31 10:03:32	ga_ls8c_ard_3-2-1_097084_2022-05-31_final
2022-06-15 10:53:46	ga_ls8c_ard_3-2-1_106070_2022-06-15_final
2022-06-18 09:47:24	ga_ls8c_ard_3-2-1_095074_2022-06-18_final
2022-06-21 10:17:55	ga_ls8c_ard_3-2-1_100073_2022-06-21_final
2022-06-22 09:26:41	ga_ls8c_ard_3-2-1_091084_2022-06-21_final
2022-07-13 11:20:32	ga_ls8c_ard_3-2-1_110075_2022-07-13_final
2022-07-15 11:07:22	ga_ls8c_ard_3-2-1_108073_2022-07-15_final
2022-08-22 10:30:36	ga_ls8c_ard_3-2-1_102073_2022-08-22_final
2022-09-02 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-09-02_final
2022-09-15 11:23:44	ga_ls8c_ard_3-2-1_110082_2022-09-15_final
2022-10-03 09:29:17	ga_ls8c_ard_3-2-1_092074_2022-10-02_final
2022-10-25 10:29:53	ga_ls8c_ard_3-2-1_102071_2022-10-25_final
2022-10-28 09:23:07	ga_ls8c_ard_3-2-1_091074_2022-10-27_final
2022-10-31 11:36:06	ga_ls8c_ard_3-2-1_112082_2022-10-31_final
2022-12-02 09:52:45	ga_ls8c_ard_3-2-1_096071_2022-12-02_final
2023-01-17 10:08:25	ga_ls8c_ard_3-2-1_098080_2023-01-17_final
2023-01-22 10:25:01	ga_ls8c_ard_3-2-1_101075_2023-01-22_final
2023-01-29 10:29:15	ga_ls8c_ard_3-2-1_102070_2023-01-29_final
2023-02-11 09:59:29	ga_ls8c_ard_3-2-1_097073_2023-02-11_final
2023-02-20 09:58:21	ga_ls8c_ard_3-2-1_096086_2023-02-20_final
2023-02-22 09:42:21	ga_ls8c_ard_3-2-1_094077_2023-02-22_final
2023-03-05 09:27:18	ga_ls8c_ard_3-2-1_091086_2023-03-04_final
2023-03-05 11:05:23	ga_ls8c_ard_3-2-1_107084_2023-03-05_final
2023-03-26 11:19:20	ga_ls8c_ard_3-2-1_110073_2023-03-26_final
2023-04-08 09:11:45	ga_ls8c_ard_3-2-1_089079_2023-04-07_final
2023-04-15 10:55:32	ga_ls8c_ard_3-2-1_106076_2023-04-15_final
2023-04-24 10:48:55	ga_ls8c_ard_3-2-1_105075_2023-04-24_final
2023-05-01 10:55:27	ga_ls8c_ard_3-2-1_106076_2023-05-01_final
2023-07-12 10:03:03	ga_ls8c_ard_3-2-1_098068_2023-07-12_final
2023-07-29 10:46:49	ga_ls8c_ard_3-2-1_105069_2023-07-29_final
2023-09-26 10:28:10	ga_ls8c_ard_3-2-1_102068_2023-09-26_final
2023-10-15 11:05:31	ga_ls8c_ard_3-2-1_107084_2023-10-15_final
2023-12-19 10:07:33	ga_ls8c_ard_3-2-1_098078_2023-12-19_final
2024-01-05 09:11:23	ga_ls8c_ard_3-2-1_089077_2024-01-04_final
2024-02-04 09:28:57	ga_ls8c_ard_3-2-1_091090_2024-02-03_final
2024-02-11 09:29:33	ga_ls8c_ard_3-2-1_092076_2024-02-10_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