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

78 results

Time (local)	Label
2013-08-07 11:13:33	ga_ls8c_ard_3-0-0_108084_2013-08-07_final
2013-12-11 11:20:18	ga_ls8c_ard_3-0-0_110071_2013-12-11_final
2014-04-16 11:31:25	ga_ls8c_ard_3-0-0_112072_2014-04-16_final
2014-05-25 11:41:09	ga_ls8c_ard_3-0-0_113082_2014-05-25_final
2014-07-21 11:30:09	ga_ls8c_ard_3-0-0_112069_2014-07-21_final
2014-08-10 11:10:47	ga_ls8c_ard_3-0-0_108082_2014-08-10_final
2014-11-17 09:58:10	ga_ls8c_ard_3-0-0_097070_2014-11-17_final
2014-12-12 09:50:39	ga_ls8c_ard_3-0-0_096067_2014-12-12_final
2014-12-17 10:11:38	ga_ls8c_ard_3-0-0_099073_2014-12-17_final
2014-12-25 09:23:47	ga_ls8c_ard_3-0-0_091077_2014-12-24_final
2015-05-10 10:13:23	ga_ls8c_ard_3-0-0_099080_2015-05-10_final
2016-04-26 10:10:15	ga_ls8c_ard_3-0-0_099071_2016-04-26_final
2016-05-18 09:32:01	ga_ls8c_ard_3-0-0_093068_2016-05-18_final
2016-07-12 09:46:08	ga_ls8c_ard_3-0-0_094087_2016-07-12_final
2016-12-01 09:50:55	ga_ls8c_ard_3-0-0_096067_2016-12-01_final
2017-01-18 09:51:32	ga_ls8c_ard_3-0-0_096069_2017-01-18_final
2017-03-02 11:17:10	ga_ls8c_ard_3-0-0_109083_2017-03-02_final
2017-03-27 11:06:21	ga_ls8c_ard_3-0-0_108072_2017-03-27_final
2017-07-11 10:03:57	ga_ls8c_ard_3-0-0_098070_2017-07-11_final
2017-08-17 10:27:32	ga_ls8c_ard_3-0-0_101082_2017-08-17_final
2017-11-22 11:05:45	ga_ls8c_ard_3-0-0_108069_2017-11-22_final
2018-01-21 11:29:28	ga_ls8c_ard_3-0-0_112067_2018-01-21_final
2018-03-08 10:02:59	ga_ls8c_ard_3-0-0_098068_2018-03-08_final
2018-03-26 11:30:58	ga_ls8c_ard_3-0-0_112072_2018-03-26_final
2018-05-03 10:54:44	ga_ls8c_ard_3-0-0_106075_2018-05-03_final
2018-05-26 09:20:33	ga_ls8c_ard_3-0-0_091072_2018-05-25_final
2018-09-02 11:29:26	ga_ls8c_ard_3-0-0_112068_2018-09-02_final
2018-12-12 10:14:35	ga_ls8c_ard_3-0-0_099081_2018-12-12_final
2019-01-08 11:30:32	ga_ls8c_ard_3-0-0_112070_2019-01-08_final
2019-06-01 11:29:36	ga_ls8c_ard_3-0-0_112068_2019-06-01_final
2019-07-18 10:49:45	ga_ls8c_ard_3-1-0_105076_2019-07-18_final
2019-07-24 10:13:07	ga_ls8c_ard_3-1-0_099077_2019-07-24_final
2019-11-23 10:50:07	ga_ls8c_ard_3-1-0_105076_2019-11-23_final
2019-11-26 11:18:14	ga_ls8c_ard_3-1-0_110069_2019-11-26_final
2019-12-27 10:38:05	ga_ls8c_ard_3-1-0_103077_2019-12-27_final
2020-01-07 10:19:30	ga_ls8c_ard_3-1-0_100077_2020-01-07_final
2020-03-02 10:24:38	ga_ls8c_ard_3-1-0_101075_2020-03-02_final
2020-07-11 10:55:50	ga_ls8c_ard_3-1-0_106076_2020-07-11_final
2020-09-13 09:16:56	ga_ls8c_ard_3-1-0_090075_2020-09-12_final
2020-10-25 09:50:55	ga_ls8c_ard_3-1-0_096067_2020-10-25_final
2020-11-17 09:57:52	ga_ls8c_ard_3-1-0_097069_2020-11-17_final
2021-01-13 09:50:47	ga_ls8c_ard_3-2-0_096067_2021-01-13_final
2021-03-07 10:14:15	ga_ls8c_ard_3-2-0_099080_2021-03-07_final
2021-05-26 10:16:00	ga_ls8c_ard_3-2-0_099085_2021-05-26_final
2021-06-21 10:49:40	ga_ls8c_ard_3-2-0_105076_2021-06-21_final
2021-07-05 09:21:59	ga_ls8c_ard_3-2-0_091073_2021-07-04_final
2021-07-11 10:22:36	ga_ls8c_ard_3-2-0_101070_2021-07-11_final
2021-07-23 09:11:18	ga_ls8c_ard_3-2-0_089077_2021-07-22_final
2021-09-10 09:50:51	ga_ls8c_ard_3-2-0_096067_2021-09-10_final
2021-09-22 11:57:41	ga_ls8c_ard_3-2-0_116075_2021-09-22_final
2021-10-28 09:51:01	ga_ls8c_ard_3-2-0_096067_2021-10-28_final
2021-11-21 10:46:21	ga_ls8c_ard_3-2-0_104082_2021-11-21_final
2022-01-13 09:28:18	ga_ls8c_ard_3-2-1_091088_2022-01-12_final
2022-01-14 10:03:34	ga_ls8c_ard_3-2-1_098068_2022-01-14_final
2022-03-14 11:23:38	ga_ls8c_ard_3-2-1_111068_2022-03-14_final
2022-04-15 11:24:20	ga_ls8c_ard_3-2-1_111070_2022-04-15_final
2022-06-15 10:55:45	ga_ls8c_ard_3-2-1_106075_2022-06-15_final
2022-06-16 11:40:37	ga_ls8c_ard_3-2-1_113079_2022-06-16_final
2022-07-04 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-07-04_final
2022-08-02 10:56:01	ga_ls8c_ard_3-2-1_106075_2022-08-02_final
2022-08-16 09:33:59	ga_ls8c_ard_3-2-1_092086_2022-08-16_final
2022-10-06 10:01:45	ga_ls8c_ard_3-2-1_097078_2022-10-06_final
2022-10-31 09:58:01	ga_ls8c_ard_3-2-1_096084_2022-10-31_final
2022-12-17 09:10:35	ga_ls8c_ard_3-2-1_089074_2022-12-16_final
2023-03-07 10:52:12	ga_ls8c_ard_3-2-1_105082_2023-03-07_final
2023-03-17 11:23:38	ga_ls8c_ard_3-2-1_111068_2023-03-17_final
2023-03-17 11:24:26	ga_ls8c_ard_3-2-1_111070_2023-03-17_final
2023-04-02 11:23:27	ga_ls8c_ard_3-2-1_111068_2023-04-02_final
2023-05-13 11:17:12	ga_ls8c_ard_3-2-1_110069_2023-05-13_final
2023-06-05 09:45:46	ga_ls8c_ard_3-2-1_095072_2023-06-05_final
2023-07-26 10:18:41	ga_ls8c_ard_3-2-1_100076_2023-07-26_final
2023-07-26 10:19:05	ga_ls8c_ard_3-2-1_100077_2023-07-26_final
2023-08-01 11:19:45	ga_ls8c_ard_3-2-1_110074_2023-08-01_final
2023-08-17 09:43:45	ga_ls8c_ard_3-2-1_094081_2023-08-17_final
2023-08-20 10:10:18	ga_ls8c_ard_3-2-1_099070_2023-08-20_final
2023-09-22 10:55:39	ga_ls8c_ard_3-2-1_106075_2023-09-22_final
2023-11-28 11:24:43	ga_ls8c_ard_3-2-1_111070_2023-11-28_final
2024-03-09 09:13:10	ga_ls8c_ard_3-2-1_089082_2024-03-08_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