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
2013-04-17 11:07:46	ga_ls8c_ard_3-0-0_108070_2013-04-17_final
2013-07-23 11:53:10	ga_ls8c_ard_3-0-0_115075_2013-07-23_final
2013-10-31 11:25:49	ga_ls8c_ard_3-0-0_111069_2013-10-31_final
2013-10-31 11:26:13	ga_ls8c_ard_3-0-0_111070_2013-10-31_final
2013-11-21 10:10:57	ga_ls8c_ard_3-0-0_098083_2013-11-21_final
2014-02-06 11:13:31	ga_ls8c_ard_3-0-0_109071_2014-02-06_final
2014-02-27 11:30:09	ga_ls8c_ard_3-0-0_112067_2014-02-27_final
2014-06-10 11:41:43	ga_ls8c_ard_3-0-0_113083_2014-06-10_final
2014-08-13 09:57:13	ga_ls8c_ard_3-0-0_097068_2014-08-13_final
2014-08-17 11:11:48	ga_ls8c_ard_3-0-0_109069_2014-08-17_final
2014-08-31 11:28:58	ga_ls8c_ard_3-0-0_111081_2014-08-31_final
2014-09-16 11:24:14	ga_ls8c_ard_3-0-0_111069_2014-09-16_final
2015-01-22 09:45:34	ga_ls8c_ard_3-0-0_095070_2015-01-22_final
2015-02-03 11:52:45	ga_ls8c_ard_3-0-0_115079_2015-02-03_final
2015-02-04 10:52:43	ga_ls8c_ard_3-0-0_106068_2015-02-04_final
2015-04-12 09:51:46	ga_ls8c_ard_3-0-0_095087_2015-04-12_final
2015-04-28 09:45:41	ga_ls8c_ard_3-0-0_095072_2015-04-28_final
2015-06-13 09:56:02	ga_ls8c_ard_3-0-0_097067_2015-06-13_final
2015-07-10 09:45:19	ga_ls8c_ard_3-0-0_094086_2015-07-10_final
2015-11-06 11:24:36	ga_ls8c_ard_3-0-0_111070_2015-11-06_final
2015-11-18 10:14:03	ga_ls8c_ard_3-0-0_099079_2015-11-18_final
2015-12-22 11:35:48	ga_ls8c_ard_3-0-0_113067_2015-12-22_final
2015-12-27 10:19:02	ga_ls8c_ard_3-0-0_100076_2015-12-27_final
2016-01-12 10:19:22	ga_ls8c_ard_3-0-0_100077_2016-01-12_final
2016-01-25 09:52:28	ga_ls8c_ard_3-0-0_095087_2016-01-25_final
2016-01-30 10:09:24	ga_ls8c_ard_3-0-0_098083_2016-01-30_final
2016-02-10 09:46:48	ga_ls8c_ard_3-0-0_095073_2016-02-10_final
2016-05-16 09:46:22	ga_ls8c_ard_3-0-0_095073_2016-05-16_final
2016-05-30 09:56:49	ga_ls8c_ard_3-0-0_097068_2016-05-30_final
2016-08-29 11:19:16	ga_ls8c_ard_3-0-0_110072_2016-08-29_final
2016-10-28 10:04:30	ga_ls8c_ard_3-0-0_098070_2016-10-28_final
2016-11-15 11:29:48	ga_ls8c_ard_3-0-0_112067_2016-11-15_final
2017-01-11 11:25:28	ga_ls8c_ard_3-0-0_111072_2017-01-11_final
2017-01-17 10:49:09	ga_ls8c_ard_3-0-0_105074_2017-01-17_final
2017-02-21 11:17:49	ga_ls8c_ard_3-0-0_110069_2017-02-21_final
2017-02-25 10:52:40	ga_ls8c_ard_3-0-0_106068_2017-02-25_final
2017-04-22 10:08:43	ga_ls8c_ard_3-0-0_098083_2017-04-22_final
2017-05-11 10:38:49	ga_ls8c_ard_3-0-0_103081_2017-05-11_final
2017-05-18 10:45:29	ga_ls8c_ard_3-0-0_104082_2017-05-18_final
2017-06-06 11:14:10	ga_ls8c_ard_3-0-0_109076_2017-06-06_final
2017-06-11 09:57:03	ga_ls8c_ard_3-0-0_096084_2017-06-11_final
2017-06-16 10:10:26	ga_ls8c_ard_3-0-0_099071_2017-06-16_final
2017-06-25 10:07:06	ga_ls8c_ard_3-0-0_098078_2017-06-25_final
2017-12-19 10:46:48	ga_ls8c_ard_3-0-0_105068_2017-12-19_final
2018-01-19 10:09:45	ga_ls8c_ard_3-0-0_098084_2018-01-19_final
2018-03-16 10:51:57	ga_ls8c_ard_3-0-0_106067_2018-03-16_final
2018-05-18 11:51:23	ga_ls8c_ard_3-0-0_115078_2018-05-18_final
2018-05-30 10:38:15	ga_ls8c_ard_3-0-0_103081_2018-05-30_final
2018-07-11 11:12:52	ga_ls8c_ard_3-0-0_109074_2018-07-11_final
2018-08-15 10:08:46	ga_ls8c_ard_3-0-0_098083_2018-08-15_final
2018-12-09 11:17:00	ga_ls8c_ard_3-0-0_110067_2018-12-09_final
2018-12-13 10:53:51	ga_ls8c_ard_3-0-0_106071_2018-12-13_final
2019-01-19 11:11:33	ga_ls8c_ard_3-0-0_109069_2019-01-19_final
2019-02-07 10:09:30	ga_ls8c_ard_3-0-0_098084_2019-02-07_final
2019-07-30 11:13:46	ga_ls8c_ard_3-1-0_109074_2019-07-30_final
2019-10-01 10:28:25	ga_ls8c_ard_3-1-0_102068_2019-10-01_final
2019-10-25 11:19:30	ga_ls8c_ard_3-1-0_110072_2019-10-25_final
2019-11-29 11:51:32	ga_ls8c_ard_3-1-0_115075_2019-11-29_final
2020-01-10 10:49:36	ga_ls8c_ard_3-1-0_105075_2020-01-10_final
2020-01-20 11:24:39	ga_ls8c_ard_3-1-0_111070_2020-01-20_final
2020-01-20 11:25:50	ga_ls8c_ard_3-1-0_111073_2020-01-20_final
2020-01-29 11:17:13	ga_ls8c_ard_3-1-0_110067_2020-01-29_final
2020-02-21 11:24:06	ga_ls8c_ard_3-1-0_111069_2020-02-21_final
2020-02-21 11:25:42	ga_ls8c_ard_3-1-0_111073_2020-02-21_final
2020-03-26 11:13:29	ga_ls8c_ard_3-1-0_109074_2020-03-26_final
2020-04-17 10:39:01	ga_ls8c_ard_3-1-0_103081_2020-04-17_final
2020-12-10 10:04:54	ga_ls8c_ard_3-1-0_098071_2020-12-10_final
2021-01-22 11:24:38	ga_ls8c_ard_3-2-0_111070_2021-01-22_final
2021-03-23 10:10:32	ga_ls8c_ard_3-2-0_099071_2021-03-23_final
2021-04-10 09:56:30	ga_ls8c_ard_3-2-0_097067_2021-04-10_final
2021-04-14 11:12:14	ga_ls8c_ard_3-2-0_109071_2021-04-14_final
2021-04-18 10:49:28	ga_ls8c_ard_3-2-0_105076_2021-04-18_final
2021-05-25 09:33:56	ga_ls8c_ard_3-2-0_092088_2021-05-25_final
2021-05-30 11:24:13	ga_ls8c_ard_3-2-0_111070_2021-05-30_final
2021-06-04 11:44:24	ga_ls8c_ard_3-2-0_114074_2021-06-04_final
2021-06-24 11:20:11	ga_ls8c_ard_3-2-0_110075_2021-06-24_final
2021-08-24 09:13:30	ga_ls8c_ard_3-2-0_089082_2021-08-23_final
2021-12-30 09:14:46	ga_ls8c_ard_3-2-1_089085_2021-12-29_final
2022-01-16 09:52:00	ga_ls8c_ard_3-2-1_096070_2022-01-16_final
2022-06-11 11:18:50	ga_ls8c_ard_3-2-1_110071_2022-06-11_final
2022-07-01 09:22:08	ga_ls8c_ard_3-2-1_090088_2022-06-30_final
2022-07-02 11:37:54	ga_ls8c_ard_3-2-1_113072_2022-07-02_final
2022-08-12 11:31:59	ga_ls8c_ard_3-2-1_112072_2022-08-12_final
2022-09-02 11:52:32	ga_ls8c_ard_3-2-1_115077_2022-09-02_final
2022-09-25 10:17:57	ga_ls8c_ard_3-2-1_100072_2022-09-25_final
2022-12-04 11:18:28	ga_ls8c_ard_3-2-1_110069_2022-12-04_final
2022-12-13 11:12:14	ga_ls8c_ard_3-2-1_109069_2022-12-13_final
2022-12-23 10:16:17	ga_ls8c_ard_3-2-1_099084_2022-12-23_final
2022-12-26 10:40:50	ga_ls8c_ard_3-2-1_104068_2022-12-26_final
2023-03-17 11:24:26	ga_ls8c_ard_3-2-1_111070_2023-03-17_final
2023-05-29 09:39:32	ga_ls8c_ard_3-2-1_094072_2023-05-29_final
2023-06-26 10:09:16	ga_ls8c_ard_3-2-1_098084_2023-06-26_final
2023-07-23 11:23:50	ga_ls8c_ard_3-2-1_111069_2023-07-23_final
2023-09-22 10:55:39	ga_ls8c_ard_3-2-1_106075_2023-09-22_final
2023-10-14 10:19:52	ga_ls8c_ard_3-2-1_100078_2023-10-14_final
2023-11-02 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-11-02_final
2023-11-28 11:24:43	ga_ls8c_ard_3-2-1_111070_2023-11-28_final
2023-12-04 09:16:15	ga_ls8c_ard_3-2-1_089089_2023-12-03_final
2024-01-28 09:21:54	ga_ls8c_ard_3-2-1_090088_2024-01-27_final
2024-02-22 09:10:11	ga_ls8c_ard_3-2-1_089074_2024-02-21_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