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
2013-04-29 11:32:26	ga_ls8c_ard_3-0-0_112070_2013-04-29_final
2013-08-10 11:39:40	ga_ls8c_ard_3-0-0_113072_2013-08-10_final
2014-06-12 09:46:30	ga_ls8c_ard_3-0-0_095073_2014-06-12_final
2014-06-23 11:07:39	ga_ls8c_ard_3-0-0_108075_2014-06-23_final
2014-06-26 09:56:29	ga_ls8c_ard_3-0-0_097067_2014-06-26_final
2014-12-03 11:37:50	ga_ls8c_ard_3-0-0_113072_2014-12-03_final
2015-03-12 10:32:52	ga_ls8c_ard_3-0-0_102081_2015-03-12_final
2015-05-07 09:37:21	ga_ls8c_ard_3-0-0_094067_2015-05-07_final
2015-06-17 09:33:20	ga_ls8c_ard_3-0-0_093072_2015-06-17_final
2015-12-01 11:18:27	ga_ls8c_ard_3-0-0_110070_2015-12-01_final
2015-12-08 09:45:44	ga_ls8c_ard_3-0-0_095070_2015-12-08_final
2016-01-25 11:24:10	ga_ls8c_ard_3-0-0_111069_2016-01-25_final
2016-02-26 09:45:30	ga_ls8c_ard_3-0-0_095070_2016-02-26_final
2016-03-18 11:41:38	ga_ls8c_ard_3-0-0_114067_2016-03-18_final
2016-04-24 10:26:59	ga_ls8c_ard_3-0-0_101082_2016-04-24_final
2016-06-15 09:56:28	ga_ls8c_ard_3-0-0_097067_2016-06-15_final
2016-06-22 10:03:30	ga_ls8c_ard_3-0-0_098069_2016-06-22_final
2016-10-14 11:32:11	ga_ls8c_ard_3-0-0_112073_2016-10-14_final
2016-12-17 11:31:44	ga_ls8c_ard_3-0-0_112072_2016-12-17_final
2016-12-27 10:29:54	ga_ls8c_ard_3-0-0_102072_2016-12-27_final
2017-01-21 10:22:49	ga_ls8c_ard_3-0-0_101070_2017-01-21_final
2017-01-23 10:09:38	ga_ls8c_ard_3-0-0_099068_2017-01-23_final
2017-02-12 09:45:33	ga_ls8c_ard_3-0-0_095070_2017-02-12_final
2017-05-19 09:47:28	ga_ls8c_ard_3-0-0_095076_2017-05-19_final
2017-06-29 11:18:05	ga_ls8c_ard_3-0-0_110070_2017-06-29_final
2017-08-10 10:19:19	ga_ls8c_ard_3-0-0_100077_2017-08-10_final
2017-08-14 11:30:19	ga_ls8c_ard_3-0-0_112069_2017-08-14_final
2017-09-24 08:10:54	ga_ls8c_ard_3-2-1_079080_2017-09-23_final
2017-09-24 09:45:47	ga_ls8c_ard_3-0-0_095070_2017-09-24_final
2017-11-13 09:34:42	ga_ls8c_ard_3-0-0_093073_2017-11-13_final
2017-11-27 09:45:46	ga_ls8c_ard_3-0-0_095070_2017-11-27_final
2017-12-04 11:30:49	ga_ls8c_ard_3-0-0_112070_2017-12-04_final
2018-01-08 10:27:35	ga_ls8c_ard_3-0-0_101082_2018-01-08_final
2018-01-14 09:45:40	ga_ls8c_ard_3-0-0_095070_2018-01-14_final
2018-02-15 09:51:48	ga_ls8c_ard_3-0-0_095086_2018-02-15_final
2018-02-15 11:23:06	ga_ls8c_ard_3-0-0_111067_2018-02-15_final
2018-02-18 10:19:05	ga_ls8c_ard_3-0-0_100077_2018-02-18_final
2018-03-12 09:39:49	ga_ls8c_ard_3-0-0_094072_2018-03-12_final
2018-05-02 11:52:21	ga_ls8c_ard_3-0-0_115080_2018-05-02_final
2018-06-03 10:12:18	ga_ls8c_ard_3-0-0_099078_2018-06-03_final
2018-06-19 10:12:27	ga_ls8c_ard_3-0-0_099078_2018-06-19_final
2018-06-28 10:08:46	ga_ls8c_ard_3-0-0_098084_2018-06-28_final
2018-08-10 09:45:23	ga_ls8c_ard_3-0-0_095071_2018-08-10_final
2018-09-04 09:37:48	ga_ls8c_ard_3-0-0_094067_2018-09-04_final
2018-11-05 09:51:19	ga_ls8c_ard_3-0-0_096069_2018-11-05_final
2018-11-21 11:29:48	ga_ls8c_ard_3-0-0_112068_2018-11-21_final
2018-11-26 10:10:15	ga_ls8c_ard_3-0-0_099070_2018-11-26_final
2019-01-03 11:13:12	ga_ls8c_ard_3-0-0_109073_2019-01-03_final
2019-03-29 11:31:01	ga_ls8c_ard_3-1-0_112072_2019-03-29_final
2019-05-28 10:19:00	ga_ls8c_ard_3-0-0_100077_2019-05-28_final
2019-07-27 10:46:02	ga_ls8c_ard_3-1-0_104082_2019-07-27_final
2019-09-27 10:55:55	ga_ls8c_ard_3-1-0_106075_2019-09-27_final
2019-10-16 11:24:29	ga_ls8c_ard_3-1-0_111069_2019-10-16_final
2019-12-05 09:34:45	ga_ls8c_ard_3-1-0_093073_2019-12-05_final
2019-12-10 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-12-10_final
2019-12-31 11:53:26	ga_ls8c_ard_3-1-0_115080_2019-12-31_final
2020-03-01 11:18:16	ga_ls8c_ard_3-1-0_110070_2020-03-01_final
2020-04-11 11:13:45	ga_ls8c_ard_3-1-0_109075_2020-04-11_final
2020-05-23 10:08:58	ga_ls8c_ard_3-1-0_099068_2020-05-23_final
2020-06-07 11:07:30	ga_ls8c_ard_3-1-0_108075_2020-06-07_final
2020-07-07 09:39:39	ga_ls8c_ard_3-1-0_094071_2020-07-07_final
2020-08-10 11:07:31	ga_ls8c_ard_3-1-0_108074_2020-08-10_final
2020-11-21 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-11-21_final
2021-01-02 10:10:12	ga_ls8c_ard_3-2-0_099069_2021-01-02_final
2021-01-07 10:33:30	ga_ls8c_ard_3-2-0_102081_2021-01-07_final
2021-01-27 10:03:05	ga_ls8c_ard_3-2-0_098067_2021-01-27_final
2021-02-26 10:19:42	ga_ls8c_ard_3-2-0_100078_2021-02-26_final
2021-02-27 09:26:52	ga_ls8c_ard_3-2-0_091085_2021-02-26_final
2021-03-24 10:53:00	ga_ls8c_ard_3-2-0_106069_2021-03-24_final
2021-04-10 11:37:22	ga_ls8c_ard_3-2-0_113072_2021-04-10_final
2021-05-13 10:45:35	ga_ls8c_ard_3-2-0_104082_2021-05-13_final
2021-06-06 11:30:27	ga_ls8c_ard_3-2-0_112070_2021-06-06_final
2021-06-17 09:33:53	ga_ls8c_ard_3-2-0_093072_2021-06-17_final
2021-11-13 11:31:02	ga_ls8c_ard_3-2-0_112070_2021-11-13_final
2022-01-24 09:07:42	ga_ls8c_ard_3-2-1_088083_2022-01-23_final
2022-01-25 11:24:39	ga_ls8c_ard_3-2-1_111070_2022-01-25_final
2022-03-10 10:10:42	ga_ls8c_ard_3-2-1_099071_2022-03-10_final
2022-03-18 09:22:47	ga_ls8c_ard_3-2-1_091075_2022-03-17_final
2022-03-23 09:40:04	ga_ls8c_ard_3-2-1_094072_2022-03-23_final
2022-03-27 10:55:22	ga_ls8c_ard_3-2-1_106075_2022-03-27_final
2022-04-22 09:52:24	ga_ls8c_ard_3-2-1_096072_2022-04-22_final
2022-05-23 10:48:57	ga_ls8c_ard_3-2-1_105074_2022-05-23_final
2022-06-15 10:55:45	ga_ls8c_ard_3-2-1_106075_2022-06-15_final
2022-10-29 10:05:11	ga_ls8c_ard_3-2-1_098071_2022-10-29_final
2022-11-06 09:21:44	ga_ls8c_ard_3-2-1_090086_2022-11-05_final
2022-11-21 10:14:27	ga_ls8c_ard_3-2-1_099079_2022-11-21_final
2022-12-17 09:10:35	ga_ls8c_ard_3-2-1_089074_2022-12-16_final
2023-04-29 09:28:09	ga_ls8c_ard_3-2-1_092074_2023-04-28_final
2023-04-30 10:10:13	ga_ls8c_ard_3-2-1_099071_2023-04-30_final
2023-07-04 10:58:25	ga_ls8c_ard_3-2-1_106083_2023-07-04_final
2023-07-29 10:49:37	ga_ls8c_ard_3-2-1_105076_2023-07-29_final
2023-08-12 09:28:44	ga_ls8c_ard_3-2-1_091090_2023-08-11_final
2023-09-04 11:11:07	ga_ls8c_ard_3-2-1_108083_2023-09-04_final
2023-10-11 11:26:15	ga_ls8c_ard_3-2-1_111074_2023-10-11_final
2023-11-18 09:10:20	ga_ls8c_ard_3-2-1_089074_2023-11-17_final
2023-11-24 11:53:27	ga_ls8c_ard_3-2-1_115080_2023-11-24_final
2023-12-19 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-12-19_final
2024-01-06 11:31:33	ga_ls8c_ard_3-2-1_112072_2024-01-06_final
2024-01-27 10:09:55	ga_ls8c_ard_3-2-1_099069_2024-01-27_final
2024-02-12 10:10:25	ga_ls8c_ard_3-2-1_099070_2024-02-12_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