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
2013-06-27 11:17:16	ga_ls8c_ard_3-0-0_109078_2013-06-27_final
2013-07-22 11:09:54	ga_ls8c_ard_3-0-0_108075_2013-07-22_final
2013-10-14 10:42:18	ga_ls8c_ard_3-0-0_104068_2013-10-14_final
2013-11-06 10:53:56	ga_ls8c_ard_3-0-0_105082_2013-11-06_final
2014-03-14 10:47:08	ga_ls8c_ard_3-0-0_105068_2014-03-14_final
2014-09-07 11:34:48	ga_ls8c_ard_3-0-0_112080_2014-09-07_final
2015-01-12 10:47:03	ga_ls8c_ard_3-0-0_105069_2015-01-12_final
2015-02-15 10:39:38	ga_ls8c_ard_3-0-0_103082_2015-02-15_final
2015-02-21 11:37:28	ga_ls8c_ard_3-0-0_113072_2015-02-21_final
2015-07-22 11:47:00	ga_ls8c_ard_3-0-0_114081_2015-07-22_final
2015-10-21 11:24:09	ga_ls8c_ard_3-0-0_111069_2015-10-21_final
2015-11-22 11:28:14	ga_ls8c_ard_3-0-0_111079_2015-11-22_final
2015-11-26 11:03:07	ga_ls8c_ard_3-0-0_107078_2015-11-26_final
2015-11-30 10:39:35	ga_ls8c_ard_3-0-0_103081_2015-11-30_final
2015-12-22 11:35:48	ga_ls8c_ard_3-0-0_113067_2015-12-22_final
2015-12-31 11:29:59	ga_ls8c_ard_3-0-0_112068_2015-12-31_final
2016-01-01 10:39:56	ga_ls8c_ard_3-0-0_103082_2016-01-01_final
2016-04-30 11:23:41	ga_ls8c_ard_3-0-0_111069_2016-04-30_final
2016-09-21 11:25:55	ga_ls8c_ard_3-0-0_111073_2016-09-21_final
2017-05-02 10:45:17	ga_ls8c_ard_3-0-0_104082_2017-05-02_final
2017-07-19 10:55:26	ga_ls8c_ard_3-0-0_106075_2017-07-19_final
2017-08-18 11:06:24	ga_ls8c_ard_3-0-0_108071_2017-08-18_final
2017-10-15 11:42:07	ga_ls8c_ard_3-0-0_114067_2017-10-15_final
2018-02-13 11:38:16	ga_ls8c_ard_3-0-0_113074_2018-02-13_final
2018-02-15 11:25:54	ga_ls8c_ard_3-0-0_111074_2018-02-15_final
2018-03-11 10:34:39	ga_ls8c_ard_3-0-0_103070_2018-03-11_final
2018-03-27 10:38:55	ga_ls8c_ard_3-0-0_103081_2018-03-27_final
2018-05-13 11:30:30	ga_ls8c_ard_3-0-0_112072_2018-05-13_final
2018-12-25 11:16:59	ga_ls8c_ard_3-0-0_110067_2018-12-25_final
2019-01-10 11:18:10	ga_ls8c_ard_3-0-0_110070_2019-01-10_final
2019-09-11 10:53:02	ga_ls8c_ard_3-1-0_106068_2019-09-11_final
2019-10-24 10:36:14	ga_ls8c_ard_3-1-0_103072_2019-10-24_final
2019-10-25 11:24:41	ga_ls8c_ard_3-1-0_110085_2019-10-25_final
2019-12-16 10:59:04	ga_ls8c_ard_3-2-0_106083_2019-12-16_final
2019-12-27 10:36:06	ga_ls8c_ard_3-1-0_103072_2019-12-27_final
2020-02-07 11:14:59	ga_ls8c_ard_3-1-0_109077_2020-02-07_final
2020-02-18 10:52:49	ga_ls8c_ard_3-1-0_106068_2020-02-18_final
2020-02-27 10:49:47	ga_ls8c_ard_3-1-0_105076_2020-02-27_final
2020-03-14 10:49:16	ga_ls8c_ard_3-1-0_105075_2020-03-14_final
2020-03-14 10:49:40	ga_ls8c_ard_3-1-0_105076_2020-03-14_final
2020-03-28 11:03:54	ga_ls8c_ard_3-1-0_107081_2020-03-28_final
2020-04-25 11:24:01	ga_ls8c_ard_3-1-0_111070_2020-04-25_final
2020-06-19 11:29:33	ga_ls8c_ard_3-1-0_112068_2020-06-19_final
2020-07-30 11:24:26	ga_ls8c_ard_3-1-0_111070_2020-07-30_final
2020-12-18 10:53:32	ga_ls8c_ard_3-2-0_106069_2020-12-18_final
2021-01-08 11:13:57	ga_ls8c_ard_3-2-0_109074_2021-01-08_final
2021-03-18 11:32:05	ga_ls8c_ard_3-2-0_112074_2021-03-18_final
2021-04-19 11:31:55	ga_ls8c_ard_3-2-0_112074_2021-04-19_final
2021-05-16 09:40:01	ga_ls8c_ard_3-2-0_093088_2021-05-16_final
2021-06-02 10:21:51	ga_ls8c_ard_3-2-0_100084_2021-06-02_final
2021-06-14 09:07:22	ga_ls8c_ard_3-2-0_088083_2021-06-13_final
2021-06-17 09:39:52	ga_ls8c_ard_3-2-0_093087_2021-06-17_final
2021-06-30 10:42:19	ga_ls8c_ard_3-2-0_104073_2021-06-30_final
2021-09-03 11:26:19	ga_ls8c_ard_3-2-0_111074_2021-09-03_final
2021-09-21 09:34:20	ga_ls8c_ard_3-2-0_093072_2021-09-21_final
2021-10-11 09:16:07	ga_ls8c_ard_3-2-0_089088_2021-10-10_final
2021-10-29 10:36:17	ga_ls8c_ard_3-2-0_103072_2021-10-29_final
2021-11-09 10:17:18	ga_ls8c_ard_3-2-0_100071_2021-11-09_final
2021-11-19 10:55:55	ga_ls8c_ard_3-2-0_106075_2021-11-19_final
2021-11-27 10:02:54	ga_ls8c_ard_3-2-1_098066_2021-11-27_final
2021-12-01 09:41:23	ga_ls8c_ard_3-2-0_094074_2021-12-01_final
2021-12-14 09:11:40	ga_ls8c_ard_3-2-1_089077_2021-12-13_final
2022-01-11 11:11:58	ga_ls8c_ard_3-2-1_109069_2022-01-11_final
2022-02-10 11:25:24	ga_ls8c_ard_3-2-1_111072_2022-02-10_final
2022-03-27 10:52:58	ga_ls8c_ard_3-2-1_106069_2022-03-27_final
2022-04-21 10:48:49	ga_ls8c_ard_3-2-1_105074_2022-04-21_final
2022-05-01 09:51:46	ga_ls8c_ard_3-2-1_095086_2022-05-01_final
2022-07-01 09:17:44	ga_ls8c_ard_3-2-1_090077_2022-06-30_final
2022-08-16 11:08:28	ga_ls8c_ard_3-2-1_108075_2022-08-16_final
2022-09-05 09:07:41	ga_ls8c_ard_3-2-1_088082_2022-09-04_final
2022-09-19 10:56:14	ga_ls8c_ard_3-2-1_106075_2022-09-19_final
2022-09-27 10:03:36	ga_ls8c_ard_3-2-1_098067_2022-09-27_final
2022-09-28 10:50:27	ga_ls8c_ard_3-2-1_105076_2022-09-28_final
2022-10-01 11:20:08	ga_ls8c_ard_3-2-1_110073_2022-10-01_final
2022-10-10 11:17:28	ga_ls8c_ard_3-2-1_109082_2022-10-10_final
2022-10-15 09:57:53	ga_ls8c_ard_3-2-1_096084_2022-10-15_final
2022-10-16 10:36:46	ga_ls8c_ard_3-2-1_103073_2022-10-16_final
2022-10-24 11:26:42	ga_ls8c_ard_3-2-1_111074_2022-10-24_final
2022-11-06 10:56:13	ga_ls8c_ard_3-2-1_106075_2022-11-06_final
2022-11-11 11:14:19	ga_ls8c_ard_3-2-1_109074_2022-11-11_final
2022-11-21 10:14:03	ga_ls8c_ard_3-2-1_099078_2022-11-21_final
2022-12-22 11:07:55	ga_ls8c_ard_3-2-1_108074_2022-12-22_final
2023-01-18 10:47:17	ga_ls8c_ard_3-2-1_105069_2023-01-18_final
2023-02-01 11:02:09	ga_ls8c_ard_3-2-1_107075_2023-02-01_final
2023-02-19 10:50:00	ga_ls8c_ard_3-2-1_105076_2023-02-19_final
2023-03-03 09:34:05	ga_ls8c_ard_3-2-1_093072_2023-03-03_final
2023-03-19 11:13:38	ga_ls8c_ard_3-2-1_109074_2023-03-19_final
2023-03-28 09:28:29	ga_ls8c_ard_3-2-1_092074_2023-03-27_final
2023-04-11 11:17:28	ga_ls8c_ard_3-2-1_110069_2023-04-11_final
2023-04-29 09:33:21	ga_ls8c_ard_3-2-1_092087_2023-04-29_final
2023-05-22 11:13:01	ga_ls8c_ard_3-2-1_109074_2023-05-22_final
2023-07-18 09:27:34	ga_ls8c_ard_3-2-1_092072_2023-07-17_final
2023-07-19 11:52:06	ga_ls8c_ard_3-2-1_115078_2023-07-19_final
2023-07-25 11:13:29	ga_ls8c_ard_3-2-1_109074_2023-07-25_final
2023-08-11 11:58:26	ga_ls8c_ard_3-2-1_116078_2023-08-11_final
2023-08-24 11:24:53	ga_ls8c_ard_3-2-1_111071_2023-08-24_final
2023-08-29 10:09:20	ga_ls8c_ard_3-2-1_098083_2023-08-29_final
2023-09-11 11:14:33	ga_ls8c_ard_3-2-1_109076_2023-09-11_final
2023-10-20 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-20_final
2024-02-06 09:14:13	ga_ls8c_ard_3-2-1_089084_2024-02-05_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