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
2013-04-01 10:08:03	ga_ls8c_ard_3-0-0_099068_2013-04-01_final
2013-06-02 09:45:52	ga_ls8c_ard_3-0-0_094081_2013-06-02_final
2013-07-16 11:46:36	ga_ls8c_ard_3-0-0_114074_2013-07-16_final
2013-10-20 10:04:46	ga_ls8c_ard_3-0-0_098067_2013-10-20_final
2014-06-16 10:59:29	ga_ls8c_ard_3-0-0_107070_2014-06-16_final
2014-11-12 11:20:08	ga_ls8c_ard_3-0-0_110074_2014-11-12_final
2014-11-27 10:36:02	ga_ls8c_ard_3-0-0_103072_2014-11-27_final
2014-12-01 10:10:07	ga_ls8c_ard_3-0-0_099069_2014-12-01_final
2014-12-27 10:47:05	ga_ls8c_ard_3-0-0_105069_2014-12-27_final
2014-12-27 10:47:29	ga_ls8c_ard_3-0-0_105070_2014-12-27_final
2015-02-15 10:39:38	ga_ls8c_ard_3-0-0_103082_2015-02-15_final
2015-02-24 10:29:28	ga_ls8c_ard_3-0-0_102072_2015-02-24_final
2015-03-07 10:09:38	ga_ls8c_ard_3-0-0_099069_2015-03-07_final
2015-09-22 10:19:41	ga_ls8c_ard_3-0-0_100078_2015-09-22_final
2015-10-12 11:29:29	ga_ls8c_ard_3-0-0_112067_2015-10-12_final
2015-10-19 09:57:36	ga_ls8c_ard_3-0-0_097069_2015-10-19_final
2015-10-30 11:19:13	ga_ls8c_ard_3-0-0_110072_2015-10-30_final
2015-11-02 10:10:50	ga_ls8c_ard_3-0-0_099071_2015-11-02_final
2015-11-22 11:25:50	ga_ls8c_ard_3-0-0_111073_2015-11-22_final
2016-02-26 11:23:11	ga_ls8c_ard_3-0-0_111067_2016-02-26_final
2016-04-21 09:57:19	ga_ls8c_ard_3-0-0_096085_2016-04-21_final
2016-06-01 11:24:09	ga_ls8c_ard_3-0-0_111070_2016-06-01_final
2016-06-26 11:19:42	ga_ls8c_ard_3-0-0_110074_2016-06-26_final
2016-09-07 09:34:15	ga_ls8c_ard_3-0-0_093072_2016-09-07_final
2016-09-13 10:39:40	ga_ls8c_ard_3-0-0_103081_2016-09-13_final
2016-11-20 10:10:16	ga_ls8c_ard_3-0-0_099069_2016-11-20_final
2017-01-20 11:19:14	ga_ls8c_ard_3-0-0_110072_2017-01-20_final
2017-02-01 10:07:23	ga_ls8c_ard_3-0-0_098078_2017-02-01_final
2017-03-20 11:04:37	ga_ls8c_ard_3-0-0_107083_2017-03-20_final
2017-03-24 10:39:27	ga_ls8c_ard_3-0-0_103082_2017-03-24_final
2017-05-28 09:39:24	ga_ls8c_ard_3-0-0_094071_2017-05-28_final
2017-05-31 11:50:48	ga_ls8c_ard_3-0-0_115075_2017-05-31_final
2017-06-08 11:03:25	ga_ls8c_ard_3-0-0_107080_2017-06-08_final
2017-08-25 11:17:48	ga_ls8c_ard_3-0-0_109084_2017-08-25_final
2017-12-25 10:13:18	ga_ls8c_ard_3-0-0_099077_2017-12-25_final
2017-12-28 10:43:00	ga_ls8c_ard_3-0-0_104074_2017-12-28_final
2017-12-31 11:13:53	ga_ls8c_ard_3-0-0_109074_2017-12-31_final
2018-02-07 10:34:54	ga_ls8c_ard_3-0-0_103070_2018-02-07_final
2018-02-08 09:40:04	ga_ls8c_ard_3-0-0_094072_2018-02-08_final
2018-05-16 10:26:05	ga_ls8c_ard_3-0-0_101081_2018-05-16_final
2018-08-04 10:26:48	ga_ls8c_ard_3-0-0_101082_2018-08-04_final
2018-10-22 09:39:42	ga_ls8c_ard_3-0-0_094071_2018-10-22_final
2018-12-06 10:48:54	ga_ls8c_ard_3-0-0_105074_2018-12-06_final
2019-01-16 10:41:04	ga_ls8c_ard_3-0-0_104070_2019-01-16_final
2019-02-11 11:18:04	ga_ls8c_ard_3-0-0_110070_2019-02-11_final
2019-02-22 11:01:05	ga_ls8c_ard_3-0-0_107074_2019-02-22_final
2019-03-06 09:46:03	ga_ls8c_ard_3-0-0_095072_2019-03-06_final
2019-03-08 09:38:52	ga_ls8c_ard_3-1-0_093085_2019-03-08_final
2019-04-14 09:56:51	ga_ls8c_ard_3-1-0_096084_2019-04-14_final
2019-05-22 10:55:13	ga_ls8c_ard_3-0-0_106075_2019-05-22_final
2019-06-28 09:33:56	ga_ls8c_ard_3-1-0_093072_2019-06-28_final
2019-07-21 09:40:59	ga_ls8c_ard_3-1-0_094074_2019-07-21_final
2019-12-28 11:17:21	ga_ls8c_ard_3-1-0_110067_2019-12-28_final
2019-12-31 10:10:33	ga_ls8c_ard_3-1-0_099070_2019-12-31_final
2020-01-22 11:14:40	ga_ls8c_ard_3-1-0_109076_2020-01-22_final
2020-01-31 11:06:02	ga_ls8c_ard_3-1-0_108070_2020-01-31_final
2020-03-24 09:46:35	ga_ls8c_ard_3-1-0_095073_2020-03-24_final
2020-04-06 10:53:39	ga_ls8c_ard_3-1-0_106071_2020-04-06_final
2020-04-21 10:09:29	ga_ls8c_ard_3-1-0_099069_2020-04-21_final
2020-05-04 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-04_final
2020-07-02 11:05:08	ga_ls8c_ard_3-1-0_107084_2020-07-02_final
2020-07-30 09:47:08	ga_ls8c_ard_3-1-0_095074_2020-07-30_final
2020-08-12 09:19:52	ga_ls8c_ard_3-1-0_090083_2020-08-11_final
2020-08-22 11:30:45	ga_ls8c_ard_3-1-0_112070_2020-08-22_final
2020-10-18 11:24:26	ga_ls8c_ard_3-1-0_111069_2020-10-18_final
2020-12-25 11:00:29	ga_ls8c_ard_3-2-0_107071_2020-12-25_final
2020-12-28 11:31:46	ga_ls8c_ard_3-2-0_112072_2020-12-28_final
2021-01-29 11:32:24	ga_ls8c_ard_3-2-0_112074_2021-01-29_final
2021-02-05 11:37:46	ga_ls8c_ard_3-2-0_113072_2021-02-05_final
2021-02-14 09:57:27	ga_ls8c_ard_3-2-0_096084_2021-02-14_final
2021-03-23 10:13:44	ga_ls8c_ard_3-2-0_099079_2021-03-23_final
2021-04-13 10:28:34	ga_ls8c_ard_3-2-0_102070_2021-04-13_final
2021-06-24 11:19:47	ga_ls8c_ard_3-2-0_110074_2021-06-24_final
2021-12-01 09:40:35	ga_ls8c_ard_3-2-0_094072_2021-12-01_final
2021-12-12 09:27:13	ga_ls8c_ard_3-2-1_091085_2021-12-11_final
2022-01-22 10:53:46	ga_ls8c_ard_3-2-1_106070_2022-01-22_final
2022-01-31 09:16:39	ga_ls8c_ard_3-2-1_089090_2022-01-30_final
2022-03-18 11:01:16	ga_ls8c_ard_3-2-1_107074_2022-03-18_final
2022-05-12 11:07:27	ga_ls8c_ard_3-2-1_108074_2022-05-12_final
2022-07-02 09:57:25	ga_ls8c_ard_3-2-1_097068_2022-07-02_final
2022-08-13 10:36:21	ga_ls8c_ard_3-2-1_103072_2022-08-13_final
2022-09-04 11:40:59	ga_ls8c_ard_3-2-1_113079_2022-09-04_final
2022-10-19 09:33:37	ga_ls8c_ard_3-2-1_092085_2022-10-19_final
2022-11-21 10:16:27	ga_ls8c_ard_3-2-1_099084_2022-11-21_final
2022-12-11 09:47:44	ga_ls8c_ard_3-2-1_095074_2022-12-11_final
2023-02-15 09:35:06	ga_ls8c_ard_3-2-1_093074_2023-02-15_final
2023-03-24 09:57:12	ga_ls8c_ard_3-2-1_096084_2023-03-24_final
2023-03-28 09:32:52	ga_ls8c_ard_3-2-1_092085_2023-03-28_final
2023-04-15 10:54:20	ga_ls8c_ard_3-2-1_106073_2023-04-15_final
2023-05-05 10:30:41	ga_ls8c_ard_3-2-1_102076_2023-05-05_final
2023-05-09 10:09:05	ga_ls8c_ard_3-2-1_098084_2023-05-09_final
2023-06-22 10:30:44	ga_ls8c_ard_3-2-1_102076_2023-06-22_final
2023-08-19 09:33:01	ga_ls8c_ard_3-2-1_092085_2023-08-19_final
2023-09-04 11:11:31	ga_ls8c_ard_3-2-1_108084_2023-09-04_final
2023-09-10 10:30:04	ga_ls8c_ard_3-2-1_102073_2023-09-10_final
2023-10-10 09:07:41	ga_ls8c_ard_3-2-1_088083_2023-10-09_final
2023-10-31 11:01:59	ga_ls8c_ard_3-2-1_107075_2023-10-31_final
2024-01-08 11:20:00	ga_ls8c_ard_3-2-1_110074_2024-01-08_final
2024-02-02 11:11:48	ga_ls8c_ard_3-2-1_109069_2024-02-02_final
2024-02-06 09:11:25	ga_ls8c_ard_3-2-1_089077_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