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
2013-08-14 11:16:32	ga_ls8c_ard_3-0-0_109076_2013-08-14_final
2013-09-22 11:25:01	ga_ls8c_ard_3-0-0_110082_2013-09-22_final
2014-03-13 11:42:22	ga_ls8c_ard_3-0-0_114067_2014-03-13_final
2014-03-17 11:19:11	ga_ls8c_ard_3-0-0_110071_2014-03-17_final
2014-03-19 11:08:00	ga_ls8c_ard_3-0-0_108074_2014-03-19_final
2014-05-15 11:03:42	ga_ls8c_ard_3-0-0_107081_2014-05-15_final
2014-10-11 11:19:43	ga_ls8c_ard_3-0-0_110073_2014-10-11_final
2015-08-02 11:24:54	ga_ls8c_ard_3-0-0_111072_2015-08-02_final
2015-10-19 11:41:41	ga_ls8c_ard_3-0-0_113082_2015-10-19_final
2015-12-15 11:32:24	ga_ls8c_ard_3-0-0_112074_2015-12-15_final
2016-01-20 11:10:01	ga_ls8c_ard_3-0-0_108080_2016-01-20_final
2016-01-25 11:25:22	ga_ls8c_ard_3-0-0_111072_2016-01-25_final
2016-02-10 11:24:05	ga_ls8c_ard_3-0-0_111069_2016-02-10_final
2016-03-29 11:25:22	ga_ls8c_ard_3-0-0_111073_2016-03-29_final
2016-05-07 11:31:51	ga_ls8c_ard_3-0-0_112074_2016-05-07_final
2016-08-18 11:35:45	ga_ls8c_ard_3-0-0_113067_2016-08-18_final
2016-08-18 11:42:08	ga_ls8c_ard_3-0-0_113083_2016-08-18_final
2016-11-04 11:53:09	ga_ls8c_ard_3-0-0_115079_2016-11-04_final
2017-02-28 11:24:21	ga_ls8c_ard_3-0-0_111070_2017-02-28_final
2017-03-14 11:35:23	ga_ls8c_ard_3-0-0_113067_2017-03-14_final
2017-06-20 11:25:25	ga_ls8c_ard_3-0-0_111073_2017-06-20_final
2017-08-16 11:17:58	ga_ls8c_ard_3-0-0_110069_2017-08-16_final
2017-08-16 11:19:33	ga_ls8c_ard_3-0-0_110073_2017-08-16_final
2017-09-17 11:18:02	ga_ls8c_ard_3-0-0_110069_2017-09-17_final
2018-01-09 11:07:39	ga_ls8c_ard_3-0-0_108074_2018-01-09_final
2018-03-26 11:30:58	ga_ls8c_ard_3-0-0_112072_2018-03-26_final
2018-07-18 11:16:18	ga_ls8c_ard_3-0-0_110067_2018-07-18_final
2019-01-01 11:24:22	ga_ls8c_ard_3-0-0_111070_2019-01-01_final
2019-01-10 11:16:58	ga_ls8c_ard_3-0-0_110067_2019-01-10_final
2019-01-10 11:24:09	ga_ls8c_ard_3-0-0_110085_2019-01-10_final
2019-01-19 11:11:33	ga_ls8c_ard_3-0-0_109069_2019-01-19_final
2019-05-29 11:05:03	ga_ls8c_ard_3-0-0_107084_2019-05-29_final
2019-07-10 11:42:22	ga_ls8c_ard_3-1-0_113084_2019-07-10_final
2020-08-11 10:09:54	ga_ls8c_ard_3-1-0_099069_2020-08-11_final
2020-08-26 09:27:58	ga_ls8c_ard_3-1-0_092072_2020-08-25_final
2020-11-12 11:17:23	ga_ls8c_ard_3-1-0_110067_2020-11-12_final
2020-11-19 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-11-19_final
2020-12-09 09:27:37	ga_ls8c_ard_3-1-0_091086_2020-12-08_final
2021-01-17 11:07:18	ga_ls8c_ard_3-2-0_108073_2021-01-17_final
2021-01-26 09:22:37	ga_ls8c_ard_3-2-0_091074_2021-01-25_final
2021-02-20 10:55:38	ga_ls8c_ard_3-2-0_106075_2021-02-20_final
2021-02-24 10:29:17	ga_ls8c_ard_3-2-0_102071_2021-02-24_final
2021-02-26 10:18:31	ga_ls8c_ard_3-2-0_100075_2021-02-26_final
2021-04-03 09:51:33	ga_ls8c_ard_3-2-0_096070_2021-04-03_final
2021-04-08 11:52:08	ga_ls8c_ard_3-2-0_115078_2021-04-08_final
2021-05-17 10:21:18	ga_ls8c_ard_3-2-0_100083_2021-05-17_final
2021-05-20 10:51:50	ga_ls8c_ard_3-2-0_105082_2021-05-20_final
2021-06-11 10:10:32	ga_ls8c_ard_3-2-0_099071_2021-06-11_final
2021-06-21 09:13:58	ga_ls8c_ard_3-2-0_089084_2021-06-20_final
2021-07-21 09:26:50	ga_ls8c_ard_3-2-0_091085_2021-07-20_final
2021-07-30 10:54:26	ga_ls8c_ard_3-2-0_106072_2021-07-30_final
2021-11-12 10:52:34	ga_ls8c_ard_3-2-0_105082_2021-11-12_final
2021-11-19 10:53:55	ga_ls8c_ard_3-2-0_106070_2021-11-19_final
2021-12-05 10:55:09	ga_ls8c_ard_3-2-1_106073_2021-12-05_final
2021-12-10 09:39:59	ga_ls8c_ard_3-2-1_093086_2021-12-10_final
2021-12-21 10:53:07	ga_ls8c_ard_3-2-1_106068_2021-12-21_final
2022-01-15 09:11:56	ga_ls8c_ard_3-2-1_089078_2022-01-14_final
2022-01-18 11:20:31	ga_ls8c_ard_3-2-1_110075_2022-01-18_final
2022-01-20 09:34:27	ga_ls8c_ard_3-2-1_092088_2022-01-20_final
2022-02-23 10:54:49	ga_ls8c_ard_3-2-1_106073_2022-02-23_final
2022-03-21 09:58:02	ga_ls8c_ard_3-2-1_096086_2022-03-21_final
2022-04-02 10:19:26	ga_ls8c_ard_3-2-1_100078_2022-04-02_final
2022-04-06 11:31:14	ga_ls8c_ard_3-2-1_112072_2022-04-06_final
2022-04-11 10:10:33	ga_ls8c_ard_3-2-1_099071_2022-04-11_final
2022-04-19 09:21:55	ga_ls8c_ard_3-2-1_091073_2022-04-18_final
2022-04-23 10:35:39	ga_ls8c_ard_3-2-1_103072_2022-04-23_final
2022-06-03 10:32:53	ga_ls8c_ard_3-2-1_102080_2022-06-03_final
2022-06-13 11:11:17	ga_ls8c_ard_3-2-1_108083_2022-06-13_final
2022-06-21 10:17:55	ga_ls8c_ard_3-2-1_100073_2022-06-21_final
2022-06-30 10:14:34	ga_ls8c_ard_3-2-1_099080_2022-06-30_final
2022-07-14 10:27:18	ga_ls8c_ard_3-2-1_101081_2022-07-14_final
2022-07-16 10:15:44	ga_ls8c_ard_3-2-1_099083_2022-07-16_final
2022-08-25 09:28:12	ga_ls8c_ard_3-2-1_091087_2022-08-24_final
2022-08-26 10:03:53	ga_ls8c_ard_3-2-1_098068_2022-08-26_final
2022-09-02 10:14:27	ga_ls8c_ard_3-2-1_099079_2022-09-02_final
2022-09-28 09:12:46	ga_ls8c_ard_3-2-1_089079_2022-09-27_final
2022-10-09 10:34:13	ga_ls8c_ard_3-2-1_102082_2022-10-09_final
2022-10-12 11:00:17	ga_ls8c_ard_3-2-1_107070_2022-10-12_final
2022-10-20 10:11:42	ga_ls8c_ard_3-2-1_099072_2022-10-20_final
2022-10-21 10:56:10	ga_ls8c_ard_3-2-1_106075_2022-10-21_final
2022-10-23 09:08:08	ga_ls8c_ard_3-2-1_088083_2022-10-22_final
2022-11-05 10:10:34	ga_ls8c_ard_3-2-1_099069_2022-11-05_final
2022-11-20 11:11:40	ga_ls8c_ard_3-2-1_108083_2022-11-20_final
2022-12-20 09:44:38	ga_ls8c_ard_3-2-1_094082_2022-12-20_final
2022-12-24 09:22:16	ga_ls8c_ard_3-2-1_090088_2022-12-23_final
2022-12-26 10:44:01	ga_ls8c_ard_3-2-1_104076_2022-12-26_final
2023-02-26 09:17:33	ga_ls8c_ard_3-2-1_090077_2023-02-25_final
2023-04-04 09:36:10	ga_ls8c_ard_3-2-1_093078_2023-04-04_final
2023-04-19 10:28:23	ga_ls8c_ard_3-2-1_102070_2023-04-19_final
2023-06-02 09:21:12	ga_ls8c_ard_3-2-1_090088_2023-06-01_final
2023-06-17 10:12:11	ga_ls8c_ard_3-2-1_099076_2023-06-17_final
2023-06-18 09:16:10	ga_ls8c_ard_3-2-1_090075_2023-06-17_final
2023-08-29 10:06:56	ga_ls8c_ard_3-2-1_098077_2023-08-29_final
2023-09-23 09:57:14	ga_ls8c_ard_3-2-1_097068_2023-09-23_final
2023-10-09 09:58:31	ga_ls8c_ard_3-2-1_097071_2023-10-09_final
2023-11-21 11:19:45	ga_ls8c_ard_3-2-1_110073_2023-11-21_final
2023-11-23 11:08:35	ga_ls8c_ard_3-2-1_108076_2023-11-23_final
2023-12-10 10:09:15	ga_ls8c_ard_3-2-1_099067_2023-12-10_final
2024-01-10 09:33:10	ga_ls8c_ard_3-2-1_092085_2024-01-10_final
2024-03-19 09:51:22	ga_ls8c_ard_3-2-1_095085_2024-03-19_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