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
2013-04-18 10:16:55	ga_ls8c_ard_3-0-0_099082_2013-04-18_final
2013-07-28 10:30:03	ga_ls8c_ard_3-0-0_102068_2013-07-28_final
2013-09-26 10:55:27	ga_ls8c_ard_3-0-0_106070_2013-09-26_final
2014-01-12 11:24:19	ga_ls8c_ard_3-0-0_110082_2014-01-12_final
2014-02-01 10:56:39	ga_ls8c_ard_3-0-0_106075_2014-02-01_final
2014-04-18 11:17:02	ga_ls8c_ard_3-0-0_110067_2014-04-18_final
2014-05-08 10:54:24	ga_ls8c_ard_3-0-0_106073_2014-05-08_final
2014-05-11 09:46:24	ga_ls8c_ard_3-0-0_095073_2014-05-11_final
2014-05-22 11:09:26	ga_ls8c_ard_3-0-0_108080_2014-05-22_final
2014-07-26 11:52:18	ga_ls8c_ard_3-0-0_115078_2014-07-26_final
2014-07-28 11:41:33	ga_ls8c_ard_3-0-0_113082_2014-07-28_final
2014-09-16 11:25:25	ga_ls8c_ard_3-0-0_111072_2014-09-16_final
2014-12-27 10:46:41	ga_ls8c_ard_3-0-0_105068_2014-12-27_final
2015-01-18 10:15:55	ga_ls8c_ard_3-0-0_099084_2015-01-18_final
2015-01-29 11:31:25	ga_ls8c_ard_3-0-0_112072_2015-01-29_final
2015-04-05 11:18:29	ga_ls8c_ard_3-0-0_110072_2015-04-05_final
2015-08-30 10:15:43	ga_ls8c_ard_3-0-0_099084_2015-08-30_final
2015-10-24 10:19:47	ga_ls8c_ard_3-0-0_100078_2015-10-24_final
2016-02-01 11:32:19	ga_ls8c_ard_3-0-0_112074_2016-02-01_final
2016-02-09 10:46:01	ga_ls8c_ard_3-0-0_104082_2016-02-09_final
2016-02-25 10:45:55	ga_ls8c_ard_3-0-0_104082_2016-02-25_final
2016-08-12 10:35:53	ga_ls8c_ard_3-0-0_103072_2016-08-12_final
2016-10-03 10:10:59	ga_ls8c_ard_3-0-0_099071_2016-10-03_final
2016-10-19 10:13:04	ga_ls8c_ard_3-0-0_099076_2016-10-19_final
2016-11-23 10:43:10	ga_ls8c_ard_3-0-0_104074_2016-11-23_final
2016-11-30 10:46:57	ga_ls8c_ard_3-0-0_105068_2016-11-30_final
2016-12-27 10:32:42	ga_ls8c_ard_3-0-0_102079_2016-12-27_final
2017-01-03 10:35:39	ga_ls8c_ard_3-0-0_103071_2017-01-03_final
2017-01-19 10:37:11	ga_ls8c_ard_3-0-0_103075_2017-01-19_final
2017-02-21 09:40:56	ga_ls8c_ard_3-0-0_094074_2017-02-21_final
2017-04-14 10:53:03	ga_ls8c_ard_3-0-0_106070_2017-04-14_final
2017-10-13 10:17:11	ga_ls8c_ard_3-0-0_100071_2017-10-13_final
2017-11-17 10:52:26	ga_ls8c_ard_3-0-0_105082_2017-11-17_final
2017-12-06 11:21:15	ga_ls8c_ard_3-0-0_110077_2017-12-06_final
2017-12-09 10:10:28	ga_ls8c_ard_3-0-0_099070_2017-12-09_final
2018-02-28 10:53:42	ga_ls8c_ard_3-0-0_106071_2018-02-28_final
2018-03-22 10:16:26	ga_ls8c_ard_3-0-0_100071_2018-03-22_final
2018-06-11 10:59:00	ga_ls8c_ard_3-0-0_107071_2018-06-11_final
2018-07-26 10:30:06	ga_ls8c_ard_3-0-0_102075_2018-07-26_final
2018-08-19 09:44:52	ga_ls8c_ard_3-0-0_094085_2018-08-19_final
2018-09-26 09:06:02	ga_ls8c_ard_3-0-0_088080_2018-09-25_final
2018-11-08 10:25:25	ga_ls8c_ard_3-0-0_101077_2018-11-08_final
2018-11-23 09:40:09	ga_ls8c_ard_3-0-0_094072_2018-11-23_final
2018-11-23 11:23:26	ga_ls8c_ard_3-0-0_110083_2018-11-23_final
2019-02-11 11:18:52	ga_ls8c_ard_3-0-0_110072_2019-02-11_final
2019-07-12 11:24:26	ga_ls8c_ard_3-1-0_111070_2019-07-12_final
2020-01-21 10:28:13	ga_ls8c_ard_3-1-0_102068_2020-01-21_final
2020-02-13 10:35:53	ga_ls8c_ard_3-1-0_103072_2020-02-13_final
2020-02-27 10:49:47	ga_ls8c_ard_3-1-0_105076_2020-02-27_final
2020-04-15 10:49:24	ga_ls8c_ard_3-1-0_105076_2020-04-15_final
2020-04-21 10:10:17	ga_ls8c_ard_3-1-0_099071_2020-04-21_final
2020-06-05 09:37:46	ga_ls8c_ard_3-1-0_094067_2020-06-05_final
2020-07-13 10:45:52	ga_ls8c_ard_3-1-0_104082_2020-07-13_final
2020-08-31 09:45:45	ga_ls8c_ard_3-1-0_095070_2020-08-31_final
2020-10-14 11:52:44	ga_ls8c_ard_3-1-0_115078_2020-10-14_final
2020-12-09 11:05:19	ga_ls8c_ard_3-1-0_107083_2020-12-09_final
2021-04-02 10:46:47	ga_ls8c_ard_3-2-0_105069_2021-04-02_final
2021-05-07 11:20:11	ga_ls8c_ard_3-2-0_110076_2021-05-07_final
2021-06-10 09:27:40	ga_ls8c_ard_3-2-0_092072_2021-06-09_final
2021-06-28 10:54:16	ga_ls8c_ard_3-2-0_106072_2021-06-28_final
2021-07-06 10:02:51	ga_ls8c_ard_3-2-0_098067_2021-07-06_final
2021-07-11 10:27:47	ga_ls8c_ard_3-2-0_101083_2021-07-11_final
2021-09-09 09:14:46	ga_ls8c_ard_3-2-0_089085_2021-09-08_final
2021-09-28 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-09-28_final
2021-09-28 11:24:38	ga_ls8c_ard_3-2-0_110085_2021-09-28_final
2021-10-16 09:29:29	ga_ls8c_ard_3-2-0_092075_2021-10-15_final
2021-11-02 10:15:56	ga_ls8c_ard_3-2-0_099083_2021-11-02_final
2021-11-06 11:23:42	ga_ls8c_ard_3-2-0_111067_2021-11-06_final
2022-01-21 10:12:55	ga_ls8c_ard_3-2-1_099076_2022-01-21_final
2022-02-08 10:04:04	ga_ls8c_ard_3-2-1_097085_2022-02-08_final
2022-02-16 10:52:40	ga_ls8c_ard_3-2-1_105083_2022-02-16_final
2022-03-21 11:31:20	ga_ls8c_ard_3-2-1_112072_2022-03-21_final
2022-05-05 09:22:19	ga_ls8c_ard_3-2-1_091074_2022-05-04_final
2022-06-16 10:01:20	ga_ls8c_ard_3-2-1_097078_2022-06-16_final
2022-08-02 09:17:08	ga_ls8c_ard_3-2-1_090075_2022-08-01_final
2022-08-05 11:30:08	ga_ls8c_ard_3-2-1_111083_2022-08-05_final
2022-08-21 09:46:56	ga_ls8c_ard_3-2-1_095072_2022-08-21_final
2022-09-19 10:56:14	ga_ls8c_ard_3-2-1_106075_2022-09-19_final
2022-11-27 11:12:17	ga_ls8c_ard_3-2-1_109069_2022-11-27_final
2023-01-10 10:04:20	ga_ls8c_ard_3-2-1_097085_2023-01-10_final
2023-01-17 10:03:38	ga_ls8c_ard_3-2-1_098068_2023-01-17_final
2023-02-26 09:21:57	ga_ls8c_ard_3-2-1_090088_2023-02-25_final
2023-03-28 09:30:52	ga_ls8c_ard_3-2-1_092080_2023-03-28_final
2023-04-04 09:34:10	ga_ls8c_ard_3-2-1_093073_2023-04-04_final
2023-04-19 10:28:23	ga_ls8c_ard_3-2-1_102070_2023-04-19_final
2023-04-24 10:48:07	ga_ls8c_ard_3-2-1_105073_2023-04-24_final
2023-05-02 10:03:25	ga_ls8c_ard_3-2-1_097085_2023-05-02_final
2023-06-19 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-06-19_final
2023-07-11 09:22:11	ga_ls8c_ard_3-2-1_091074_2023-07-10_final
2023-08-21 09:22:16	ga_ls8c_ard_3-2-1_090089_2023-08-20_final
2023-09-08 09:06:43	ga_ls8c_ard_3-2-1_088081_2023-09-07_final
2023-11-12 09:46:57	ga_ls8c_ard_3-2-1_095073_2023-11-12_final
2023-11-18 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-11-17_final
2023-11-26 09:57:25	ga_ls8c_ard_3-2-1_097068_2023-11-26_final
2023-12-07 11:19:59	ga_ls8c_ard_3-2-1_110074_2023-12-07_final
2023-12-09 11:10:03	ga_ls8c_ard_3-2-1_108080_2023-12-09_final
2024-01-10 09:33:10	ga_ls8c_ard_3-2-1_092085_2024-01-10_final
2024-01-27 10:09:08	ga_ls8c_ard_3-2-1_099067_2024-01-27_final
2024-02-02 09:35:19	ga_ls8c_ard_3-2-1_093075_2024-02-02_final
2024-02-10 10:25:35	ga_ls8c_ard_3-2-1_101077_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