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
2013-07-09 11:44:02	ga_ls8c_ard_3-0-0_113083_2013-07-09_final
2013-08-28 11:26:32	ga_ls8c_ard_3-0-0_111070_2013-08-28_final
2013-09-18 11:49:22	ga_ls8c_ard_3-0-0_114081_2013-09-18_final
2014-09-25 11:19:59	ga_ls8c_ard_3-0-0_110074_2014-09-25_final
2014-11-12 11:24:08	ga_ls8c_ard_3-0-0_110084_2014-11-12_final
2014-12-17 11:52:55	ga_ls8c_ard_3-0-0_115079_2014-12-17_final
2015-03-11 11:22:56	ga_ls8c_ard_3-0-0_111067_2015-03-11_final
2015-04-16 11:02:45	ga_ls8c_ard_3-0-0_107079_2015-04-16_final
2015-05-30 09:51:28	ga_ls8c_ard_3-0-0_095087_2015-05-30_final
2015-06-28 10:58:08	ga_ls8c_ard_3-0-0_106083_2015-06-28_final
2015-07-01 11:23:53	ga_ls8c_ard_3-0-0_111070_2015-07-01_final
2015-07-29 11:52:01	ga_ls8c_ard_3-0-0_115078_2015-07-29_final
2015-08-18 09:45:44	ga_ls8c_ard_3-0-0_095071_2015-08-18_final
2015-10-14 11:17:07	ga_ls8c_ard_3-0-0_110067_2015-10-14_final
2015-11-02 11:52:55	ga_ls8c_ard_3-0-0_115079_2015-11-02_final
2015-11-06 11:26:12	ga_ls8c_ard_3-0-0_111074_2015-11-06_final
2016-01-02 09:38:20	ga_ls8c_ard_3-0-0_094067_2016-01-02_final
2016-01-12 11:58:39	ga_ls8c_ard_3-0-0_116078_2016-01-12_final
2016-04-07 11:17:32	ga_ls8c_ard_3-0-0_110069_2016-04-07_final
2016-05-05 11:44:38	ga_ls8c_ard_3-0-0_114075_2016-05-05_final
2016-07-08 11:44:56	ga_ls8c_ard_3-0-0_114075_2016-07-08_final
2016-07-17 11:42:24	ga_ls8c_ard_3-0-0_113084_2016-07-17_final
2016-07-18 09:07:30	ga_ls8c_ard_3-0-0_088083_2016-07-17_final
2016-11-17 09:38:34	ga_ls8c_ard_3-0-0_094067_2016-11-17_final
2016-12-01 11:33:00	ga_ls8c_ard_3-0-0_112075_2016-12-01_final
2017-01-20 09:39:57	ga_ls8c_ard_3-0-0_094071_2017-01-20_final
2017-02-03 11:29:54	ga_ls8c_ard_3-0-0_112068_2017-02-03_final
2017-02-05 09:45:25	ga_ls8c_ard_3-0-0_094085_2017-02-05_final
2017-03-16 11:23:48	ga_ls8c_ard_3-0-0_111069_2017-03-16_final
2017-10-17 11:32:10	ga_ls8c_ard_3-0-0_112073_2017-10-17_final
2018-02-08 11:19:21	ga_ls8c_ard_3-0-0_110073_2018-02-08_final
2018-05-15 09:37:15	ga_ls8c_ard_3-0-0_094067_2018-05-15_final
2018-08-26 09:51:06	ga_ls8c_ard_3-0-0_095085_2018-08-26_final
2019-01-10 09:38:05	ga_ls8c_ard_3-0-0_094067_2019-01-10_final
2019-01-26 09:38:01	ga_ls8c_ard_3-0-0_094067_2019-01-26_final
2019-03-22 11:23:40	ga_ls8c_ard_3-1-0_111069_2019-03-22_final
2019-04-30 11:29:41	ga_ls8c_ard_3-0-0_112069_2019-04-30_final
2019-06-08 11:39:49	ga_ls8c_ard_3-0-0_113078_2019-06-08_final
2019-08-28 09:07:19	ga_ls8c_ard_3-1-0_088082_2019-08-27_final
2019-11-01 09:46:24	ga_ls8c_ard_3-1-0_095071_2019-11-01_final
2019-11-30 10:56:18	ga_ls8c_ard_3-1-0_106076_2019-11-30_final
2019-12-10 11:30:11	ga_ls8c_ard_3-1-0_112068_2019-12-10_final
2020-01-16 11:53:22	ga_ls8c_ard_3-1-0_115080_2020-01-16_final
2020-02-20 09:07:33	ga_ls8c_ard_3-1-0_088083_2020-02-19_final
2020-05-27 09:45:28	ga_ls8c_ard_3-1-0_095071_2020-05-27_final
2020-08-31 09:52:08	ga_ls8c_ard_3-1-0_095086_2020-08-31_final
2020-09-12 11:53:26	ga_ls8c_ard_3-1-0_115080_2020-09-12_final
2020-09-15 09:07:47	ga_ls8c_ard_3-1-0_088083_2020-09-14_final
2020-11-23 11:01:41	ga_ls8c_ard_3-1-0_107074_2020-11-23_final
2021-04-05 09:37:59	ga_ls8c_ard_3-2-0_094067_2021-04-05_final
2021-04-09 09:21:13	ga_ls8c_ard_3-2-0_090087_2021-04-08_final
2021-04-25 09:16:42	ga_ls8c_ard_3-2-0_090076_2021-04-24_final
2021-05-14 09:51:34	ga_ls8c_ard_3-2-0_095086_2021-05-14_final
2021-06-26 09:28:32	ga_ls8c_ard_3-2-0_092074_2021-06-25_final
2021-07-05 09:28:46	ga_ls8c_ard_3-2-0_091090_2021-07-04_final
2021-07-21 09:25:14	ga_ls8c_ard_3-2-0_091081_2021-07-20_final
2021-07-30 09:17:08	ga_ls8c_ard_3-2-0_090076_2021-07-29_final
2021-08-18 09:46:34	ga_ls8c_ard_3-2-0_095072_2021-08-18_final
2021-09-29 10:27:49	ga_ls8c_ard_3-2-0_101082_2021-09-29_final
2021-10-03 11:38:01	ga_ls8c_ard_3-2-0_113072_2021-10-03_final
2021-11-07 10:29:16	ga_ls8c_ard_3-2-0_102070_2021-11-07_final
2021-11-13 09:51:45	ga_ls8c_ard_3-2-0_096069_2021-11-13_final
2021-12-10 11:18:04	ga_ls8c_ard_3-2-1_109084_2021-12-10_final
2022-01-11 11:13:58	ga_ls8c_ard_3-2-1_109074_2022-01-11_final
2022-05-16 09:07:28	ga_ls8c_ard_3-2-1_088083_2022-05-15_final
2022-07-01 09:21:20	ga_ls8c_ard_3-2-1_090086_2022-06-30_final
2022-07-02 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-07-02_final
2022-07-29 11:18:18	ga_ls8c_ard_3-2-1_110069_2022-07-29_final
2022-07-29 11:19:30	ga_ls8c_ard_3-2-1_110072_2022-07-29_final
2022-08-02 09:21:55	ga_ls8c_ard_3-2-1_090087_2022-08-01_final
2022-08-05 09:52:03	ga_ls8c_ard_3-2-1_095085_2022-08-05_final
2022-09-22 11:24:44	ga_ls8c_ard_3-2-1_111069_2022-09-22_final
2022-10-08 09:46:59	ga_ls8c_ard_3-2-1_095072_2022-10-08_final
2022-10-13 10:10:14	ga_ls8c_ard_3-2-1_098084_2022-10-13_final
2022-12-04 09:41:11	ga_ls8c_ard_3-2-1_094073_2022-12-04_final
2022-12-11 11:24:37	ga_ls8c_ard_3-2-1_111069_2022-12-11_final
2022-12-15 09:23:22	ga_ls8c_ard_3-2-1_091075_2022-12-14_final
2022-12-26 09:07:56	ga_ls8c_ard_3-2-1_088083_2022-12-25_final
2023-01-18 09:13:59	ga_ls8c_ard_3-2-1_089083_2023-01-17_final
2023-02-09 10:09:52	ga_ls8c_ard_3-2-1_099068_2023-02-09_final
2023-02-27 09:58:01	ga_ls8c_ard_3-2-1_097070_2023-02-27_final
2023-03-29 10:09:20	ga_ls8c_ard_3-2-1_099068_2023-03-29_final
2023-04-15 09:21:50	ga_ls8c_ard_3-2-1_090089_2023-04-14_final
2023-04-30 10:12:36	ga_ls8c_ard_3-2-1_099077_2023-04-30_final
2023-05-15 09:33:55	ga_ls8c_ard_3-2-1_092089_2023-05-15_final
2023-05-22 11:17:00	ga_ls8c_ard_3-2-1_109084_2023-05-22_final
2023-06-25 11:01:40	ga_ls8c_ard_3-2-1_107076_2023-06-25_final
2023-07-03 10:15:33	ga_ls8c_ard_3-2-1_099084_2023-07-03_final
2023-07-20 10:55:17	ga_ls8c_ard_3-2-1_106075_2023-07-20_final
2023-08-04 10:10:35	ga_ls8c_ard_3-2-1_099071_2023-08-04_final
2023-08-17 09:44:09	ga_ls8c_ard_3-2-1_094082_2023-08-17_final
2023-09-21 10:10:00	ga_ls8c_ard_3-2-1_099069_2023-09-21_final
2023-10-02 11:31:36	ga_ls8c_ard_3-2-1_112072_2023-10-02_final
2023-10-11 09:47:46	ga_ls8c_ard_3-2-1_095075_2023-10-11_final
2023-11-28 09:52:14	ga_ls8c_ard_3-2-1_095086_2023-11-28_final
2023-12-02 09:22:16	ga_ls8c_ard_3-2-1_091073_2023-12-01_final
2023-12-04 10:52:20	ga_ls8c_ard_3-2-1_105082_2023-12-04_final
2024-01-18 08:42:32	ga_ls8c_ard_3-2-1_084082_2024-01-17_final
2024-01-24 09:42:16	ga_ls8c_ard_3-2-1_094077_2024-01-24_final
2024-04-03 10:43:14	ga_ls8c_ard_3-2-1_104076_2024-04-03_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