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
2013-08-04 10:41:51	ga_ls8c_ard_3-0-0_103082_2013-08-04_final
2013-08-16 11:07:22	ga_ls8c_ard_3-0-0_107084_2013-08-16_final
2013-08-20 10:41:52	ga_ls8c_ard_3-0-0_103082_2013-08-20_final
2014-01-20 10:29:37	ga_ls8c_ard_3-0-0_102069_2014-01-20_final
2014-03-20 10:10:45	ga_ls8c_ard_3-0-0_099070_2014-03-20_final
2014-04-16 09:57:19	ga_ls8c_ard_3-0-0_096084_2014-04-16_final
2014-07-18 11:01:14	ga_ls8c_ard_3-0-0_107074_2014-07-18_final
2014-12-12 09:54:39	ga_ls8c_ard_3-0-0_096077_2014-12-12_final
2015-01-25 10:16:51	ga_ls8c_ard_3-0-0_100071_2015-01-25_final
2015-04-13 10:32:14	ga_ls8c_ard_3-0-0_102080_2015-04-13_final
2015-05-09 09:33:20	ga_ls8c_ard_3-0-0_092088_2015-05-09_final
2015-06-06 11:33:51	ga_ls8c_ard_3-0-0_112080_2015-06-06_final
2015-07-07 10:48:52	ga_ls8c_ard_3-0-0_105075_2015-07-07_final
2015-07-07 10:49:16	ga_ls8c_ard_3-0-0_105076_2015-07-07_final
2015-10-01 11:53:13	ga_ls8c_ard_3-0-0_115080_2015-10-01_final
2015-10-17 11:53:13	ga_ls8c_ard_3-0-0_115080_2015-10-17_final
2015-12-03 09:34:24	ga_ls8c_ard_3-0-0_092088_2015-12-03_final
2015-12-17 11:19:38	ga_ls8c_ard_3-0-0_110073_2015-12-17_final
2016-01-02 11:23:36	ga_ls8c_ard_3-0-0_110083_2016-01-02_final
2016-02-12 11:13:42	ga_ls8c_ard_3-0-0_109074_2016-02-12_final
2016-03-19 10:52:23	ga_ls8c_ard_3-0-0_105083_2016-03-19_final
2016-04-13 10:45:13	ga_ls8c_ard_3-0-0_104081_2016-04-13_final
2016-07-03 11:25:57	ga_ls8c_ard_3-0-0_111074_2016-07-03_final
2016-07-03 11:26:21	ga_ls8c_ard_3-0-0_111075_2016-07-03_final
2016-08-12 10:39:52	ga_ls8c_ard_3-0-0_103082_2016-08-12_final
2016-10-24 10:34:00	ga_ls8c_ard_3-0-0_102082_2016-10-24_final
2016-11-08 11:24:25	ga_ls8c_ard_3-0-0_111069_2016-11-08_final
2016-12-22 11:53:02	ga_ls8c_ard_3-0-0_115079_2016-12-22_final
2017-03-16 11:25:24	ga_ls8c_ard_3-0-0_111073_2017-03-16_final
2017-04-06 10:06:53	ga_ls8c_ard_3-0-0_098078_2017-04-06_final
2017-07-02 10:10:06	ga_ls8c_ard_3-0-0_099070_2017-07-02_final
2017-08-25 11:15:48	ga_ls8c_ard_3-0-0_109079_2017-08-25_final
2017-09-29 11:47:38	ga_ls8c_ard_3-0-0_114081_2017-09-29_final
2017-10-09 10:43:54	ga_ls8c_ard_3-0-0_104076_2017-10-09_final
2017-10-12 09:34:19	ga_ls8c_ard_3-0-0_093072_2017-10-12_final
2017-11-11 09:46:40	ga_ls8c_ard_3-0-0_095072_2017-11-11_final
2017-11-23 11:53:00	ga_ls8c_ard_3-0-0_115079_2017-11-23_final
2017-12-09 11:52:57	ga_ls8c_ard_3-0-0_115079_2017-12-09_final
2017-12-26 10:54:10	ga_ls8c_ard_3-0-0_106071_2017-12-26_final
2018-01-07 09:40:44	ga_ls8c_ard_3-0-0_094073_2018-01-07_final
2018-02-02 11:57:39	ga_ls8c_ard_3-0-0_116076_2018-02-02_final
2018-02-15 11:25:54	ga_ls8c_ard_3-0-0_111074_2018-02-15_final
2018-10-15 09:33:53	ga_ls8c_ard_3-0-0_093072_2018-10-15_final
2018-10-25 11:53:05	ga_ls8c_ard_3-0-0_115080_2018-10-25_final
2019-03-01 11:10:49	ga_ls8c_ard_3-0-0_108083_2019-03-01_final
2019-04-23 11:23:30	ga_ls8c_ard_3-0-0_111069_2019-04-23_final
2019-06-07 10:55:45	ga_ls8c_ard_3-0-0_106076_2019-06-07_final
2019-06-10 11:29:52	ga_ls8c_ard_3-0-0_111084_2019-06-10_final
2019-06-23 10:55:51	ga_ls8c_ard_3-1-0_106076_2019-06-23_final
2019-09-07 09:45:38	ga_ls8c_ard_3-1-0_094085_2019-09-07_final
2019-10-20 11:00:10	ga_ls8c_ard_3-1-0_107070_2019-10-20_final
2020-02-02 10:55:40	ga_ls8c_ard_3-1-0_106075_2020-02-02_final
2020-02-07 09:35:18	ga_ls8c_ard_3-1-0_093075_2020-02-07_final
2020-03-17 11:23:44	ga_ls8c_ard_3-1-0_110084_2020-03-17_final
2020-04-04 09:27:32	ga_ls8c_ard_3-1-0_092072_2020-04-03_final
2020-05-07 11:52:12	ga_ls8c_ard_3-1-0_115079_2020-05-07_final
2020-05-08 10:55:22	ga_ls8c_ard_3-1-0_106076_2020-05-08_final
2020-06-14 09:34:05	ga_ls8c_ard_3-1-0_093073_2020-06-14_final
2020-07-18 11:04:51	ga_ls8c_ard_3-1-0_107083_2020-07-18_final
2020-09-11 09:28:53	ga_ls8c_ard_3-1-0_092074_2020-09-10_final
2020-11-28 11:17:27	ga_ls8c_ard_3-1-0_110067_2020-11-28_final
2021-01-17 09:28:49	ga_ls8c_ard_3-2-0_092074_2021-01-16_final
2021-01-19 10:56:07	ga_ls8c_ard_3-2-0_106076_2021-01-19_final
2021-01-24 09:39:22	ga_ls8c_ard_3-2-0_093085_2021-01-24_final
2021-03-23 11:53:01	ga_ls8c_ard_3-2-0_115080_2021-03-23_final
2021-04-18 10:49:04	ga_ls8c_ard_3-2-0_105075_2021-04-18_final
2021-04-24 10:15:32	ga_ls8c_ard_3-2-0_099084_2021-04-24_final
2021-05-26 10:13:13	ga_ls8c_ard_3-2-0_099078_2021-05-26_final
2021-08-23 11:47:36	ga_ls8c_ard_3-2-0_114081_2021-08-23_final
2021-10-09 09:26:52	ga_ls8c_ard_3-2-0_091084_2021-10-08_final
2021-11-12 10:49:22	ga_ls8c_ard_3-2-0_105074_2021-11-12_final
2021-11-26 09:22:26	ga_ls8c_ard_3-2-0_091073_2021-11-25_final
2021-12-18 10:24:13	ga_ls8c_ard_3-2-1_101073_2021-12-18_final
2022-01-18 09:40:26	ga_ls8c_ard_3-2-1_094072_2022-01-18_final
2022-02-02 10:36:23	ga_ls8c_ard_3-2-1_103073_2022-02-02_final
2022-02-24 11:42:28	ga_ls8c_ard_3-2-1_113084_2022-02-24_final
2022-02-26 09:46:02	ga_ls8c_ard_3-2-1_095071_2022-02-26_final
2022-03-06 10:39:26	ga_ls8c_ard_3-2-1_103081_2022-03-06_final
2022-03-10 10:10:18	ga_ls8c_ard_3-2-1_099070_2022-03-10_final
2022-04-28 10:57:20	ga_ls8c_ard_3-2-1_106080_2022-04-28_final
2022-05-01 11:23:53	ga_ls8c_ard_3-2-1_111069_2022-05-01_final
2022-06-11 11:18:50	ga_ls8c_ard_3-2-1_110071_2022-06-11_final
2022-08-20 09:08:04	ga_ls8c_ard_3-2-1_088083_2022-08-19_final
2022-09-28 10:49:39	ga_ls8c_ard_3-2-1_105074_2022-09-28_final
2022-10-20 11:53:46	ga_ls8c_ard_3-2-1_115080_2022-10-20_final
2022-10-22 10:04:32	ga_ls8c_ard_3-2-1_097085_2022-10-22_final
2022-11-28 10:19:52	ga_ls8c_ard_3-2-1_100077_2022-11-28_final
2022-12-11 09:46:32	ga_ls8c_ard_3-2-1_095071_2022-12-11_final
2023-02-01 09:23:40	ga_ls8c_ard_3-2-1_091076_2023-01-31_final
2023-02-11 09:59:05	ga_ls8c_ard_3-2-1_097072_2023-02-11_final
2023-02-20 09:52:45	ga_ls8c_ard_3-2-1_096072_2023-02-20_final
2023-06-01 10:12:26	ga_ls8c_ard_3-2-1_099077_2023-06-01_final
2023-07-03 10:09:10	ga_ls8c_ard_3-2-1_099068_2023-07-03_final
2023-08-09 10:28:19	ga_ls8c_ard_3-2-1_102069_2023-08-09_final
2023-08-19 09:33:25	ga_ls8c_ard_3-2-1_092086_2023-08-19_final
2023-08-24 09:46:00	ga_ls8c_ard_3-2-1_095071_2023-08-24_final
2023-09-15 10:49:04	ga_ls8c_ard_3-2-1_105074_2023-09-15_final
2023-10-04 09:43:32	ga_ls8c_ard_3-2-1_094080_2023-10-04_final
2023-12-07 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-12-07_final
2023-12-10 11:53:20	ga_ls8c_ard_3-2-1_115080_2023-12-10_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years