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
2013-11-25 09:43:01	ga_ls8c_ard_3-0-0_094075_2013-11-25_final
2013-11-25 09:43:25	ga_ls8c_ard_3-0-0_094076_2013-11-25_final
2014-03-10 09:37:23	ga_ls8c_ard_3-0-0_093079_2014-03-10_final
2014-03-10 09:37:47	ga_ls8c_ard_3-0-0_093080_2014-03-10_final
2014-03-10 09:38:11	ga_ls8c_ard_3-0-0_093081_2014-03-10_final
2014-03-12 09:27:01	ga_ls8c_ard_3-0-0_091084_2014-03-11_final
2014-03-12 09:28:13	ga_ls8c_ard_3-0-0_091087_2014-03-11_final
2014-03-12 09:28:36	ga_ls8c_ard_3-0-0_091088_2014-03-11_final
2014-03-12 09:29:00	ga_ls8c_ard_3-0-0_091089_2014-03-11_final
2014-03-30 09:16:44	ga_ls8c_ard_3-0-0_089090_2014-03-29_final
2014-03-31 09:50:49	ga_ls8c_ard_3-0-0_096067_2014-03-31_final
2014-05-24 09:20:59	ga_ls8c_ard_3-0-0_090087_2014-05-23_final
2014-05-24 09:21:23	ga_ls8c_ard_3-0-0_090088_2014-05-23_final
2014-05-24 09:21:47	ga_ls8c_ard_3-0-0_090089_2014-05-23_final
2014-05-24 09:22:11	ga_ls8c_ard_3-0-0_090090_2014-05-23_final
2014-05-27 09:43:57	ga_ls8c_ard_3-0-0_095067_2014-05-27_final
2015-01-22 09:44:22	ga_ls8c_ard_3-0-0_095067_2015-01-22_final
2015-01-22 09:45:34	ga_ls8c_ard_3-0-0_095070_2015-01-22_final
2015-01-22 09:45:58	ga_ls8c_ard_3-0-0_095071_2015-01-22_final
2015-01-22 09:46:22	ga_ls8c_ard_3-0-0_095072_2015-01-22_final
2015-03-11 09:44:03	ga_ls8c_ard_3-0-0_095067_2015-03-11_final
2015-03-11 09:46:02	ga_ls8c_ard_3-0-0_095072_2015-03-11_final
2017-10-12 09:35:31	ga_ls8c_ard_3-0-0_093075_2017-10-12_final
2017-10-12 09:35:55	ga_ls8c_ard_3-0-0_093076_2017-10-12_final
2017-10-12 09:36:19	ga_ls8c_ard_3-0-0_093077_2017-10-12_final
2017-10-12 09:36:43	ga_ls8c_ard_3-0-0_093078_2017-10-12_final
2017-10-12 09:37:07	ga_ls8c_ard_3-0-0_093079_2017-10-12_final
2017-10-12 09:37:31	ga_ls8c_ard_3-0-0_093080_2017-10-12_final
2017-10-12 09:37:55	ga_ls8c_ard_3-0-0_093081_2017-10-12_final
2017-10-14 09:26:22	ga_ls8c_ard_3-0-0_091083_2017-10-13_final
2017-10-14 09:26:46	ga_ls8c_ard_3-0-0_091084_2017-10-13_final
2017-10-14 09:27:10	ga_ls8c_ard_3-0-0_091085_2017-10-13_final
2017-10-14 09:27:33	ga_ls8c_ard_3-0-0_091086_2017-10-13_final
2017-10-14 09:27:57	ga_ls8c_ard_3-0-0_091087_2017-10-13_final
2017-10-14 09:28:21	ga_ls8c_ard_3-0-0_091088_2017-10-13_final
2017-10-14 09:28:45	ga_ls8c_ard_3-0-0_091089_2017-10-13_final
2017-10-16 09:16:48	ga_ls8c_ard_3-0-0_089090_2017-10-15_final
2017-10-17 09:50:53	ga_ls8c_ard_3-0-0_096067_2017-10-17_final
2017-11-13 09:35:30	ga_ls8c_ard_3-0-0_093075_2017-11-13_final
2017-11-13 09:35:54	ga_ls8c_ard_3-0-0_093076_2017-11-13_final
2017-11-13 09:36:18	ga_ls8c_ard_3-0-0_093077_2017-11-13_final
2017-11-13 09:36:42	ga_ls8c_ard_3-0-0_093078_2017-11-13_final
2017-11-13 09:37:06	ga_ls8c_ard_3-0-0_093079_2017-11-13_final
2017-11-13 09:37:30	ga_ls8c_ard_3-0-0_093080_2017-11-13_final
2017-11-13 09:37:54	ga_ls8c_ard_3-0-0_093081_2017-11-13_final
2017-11-15 09:26:43	ga_ls8c_ard_3-0-0_091084_2017-11-14_final
2017-11-15 09:27:07	ga_ls8c_ard_3-0-0_091085_2017-11-14_final
2017-11-15 09:27:31	ga_ls8c_ard_3-0-0_091086_2017-11-14_final
2017-11-15 09:27:55	ga_ls8c_ard_3-0-0_091087_2017-11-14_final
2017-11-15 09:28:19	ga_ls8c_ard_3-0-0_091088_2017-11-14_final
2017-11-15 09:28:43	ga_ls8c_ard_3-0-0_091089_2017-11-14_final
2017-11-24 09:21:41	ga_ls8c_ard_3-0-0_090087_2017-11-23_final
2017-11-24 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-11-23_final
2017-11-24 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-11-23_final
2017-11-24 09:22:53	ga_ls8c_ard_3-0-0_090090_2017-11-23_final
2017-11-24 09:23:17	ga_ls8c_ard_3-0-0_090091_2017-11-23_final
2017-12-15 09:35:25	ga_ls8c_ard_3-0-0_093075_2017-12-15_final
2017-12-15 09:35:49	ga_ls8c_ard_3-0-0_093076_2017-12-15_final
2017-12-15 09:36:13	ga_ls8c_ard_3-0-0_093077_2017-12-15_final
2017-12-15 09:36:37	ga_ls8c_ard_3-0-0_093078_2017-12-15_final
2017-12-15 09:37:00	ga_ls8c_ard_3-0-0_093079_2017-12-15_final
2017-12-15 09:37:24	ga_ls8c_ard_3-0-0_093080_2017-12-15_final
2017-12-15 09:37:48	ga_ls8c_ard_3-0-0_093081_2017-12-15_final
2017-12-17 09:26:39	ga_ls8c_ard_3-0-0_091084_2017-12-16_final
2017-12-17 09:27:03	ga_ls8c_ard_3-0-0_091085_2017-12-16_final
2017-12-17 09:27:27	ga_ls8c_ard_3-0-0_091086_2017-12-16_final
2017-12-17 09:27:51	ga_ls8c_ard_3-0-0_091087_2017-12-16_final
2017-12-17 09:28:15	ga_ls8c_ard_3-0-0_091088_2017-12-16_final
2017-12-17 09:28:39	ga_ls8c_ard_3-0-0_091089_2017-12-16_final
2017-12-26 09:21:40	ga_ls8c_ard_3-0-0_090087_2017-12-25_final
2017-12-26 09:22:04	ga_ls8c_ard_3-0-0_090088_2017-12-25_final
2017-12-26 09:22:28	ga_ls8c_ard_3-0-0_090089_2017-12-25_final
2017-12-26 09:22:52	ga_ls8c_ard_3-0-0_090090_2017-12-25_final
2017-12-26 09:23:16	ga_ls8c_ard_3-0-0_090091_2017-12-25_final
2017-12-31 09:35:24	ga_ls8c_ard_3-0-0_093075_2017-12-31_final
2017-12-31 09:35:48	ga_ls8c_ard_3-0-0_093076_2017-12-31_final
2017-12-31 09:36:12	ga_ls8c_ard_3-0-0_093077_2017-12-31_final
2017-12-31 09:36:36	ga_ls8c_ard_3-0-0_093078_2017-12-31_final
2017-12-31 09:37:00	ga_ls8c_ard_3-0-0_093079_2017-12-31_final
2017-12-31 09:37:24	ga_ls8c_ard_3-0-0_093080_2017-12-31_final
2017-12-31 09:37:48	ga_ls8c_ard_3-0-0_093081_2017-12-31_final
2018-01-02 09:26:37	ga_ls8c_ard_3-0-0_091084_2018-01-01_final
2018-01-02 09:27:01	ga_ls8c_ard_3-0-0_091085_2018-01-01_final
2018-01-02 09:27:25	ga_ls8c_ard_3-0-0_091086_2018-01-01_final
2018-01-02 09:27:49	ga_ls8c_ard_3-0-0_091087_2018-01-01_final
2018-01-02 09:28:13	ga_ls8c_ard_3-0-0_091088_2018-01-01_final
2018-01-02 09:28:37	ga_ls8c_ard_3-0-0_091089_2018-01-01_final
2018-01-11 09:21:34	ga_ls8c_ard_3-0-0_090087_2018-01-10_final
2018-01-11 09:21:58	ga_ls8c_ard_3-0-0_090088_2018-01-10_final
2018-01-11 09:22:22	ga_ls8c_ard_3-0-0_090089_2018-01-10_final
2018-01-11 09:22:46	ga_ls8c_ard_3-0-0_090090_2018-01-10_final
2018-01-11 09:23:10	ga_ls8c_ard_3-0-0_090091_2018-01-10_final
2020-03-08 09:44:19	ga_ls8c_ard_3-1-0_095067_2020-03-08_final
2020-03-08 09:45:31	ga_ls8c_ard_3-1-0_095070_2020-03-08_final
2020-03-08 09:45:55	ga_ls8c_ard_3-1-0_095071_2020-03-08_final
2020-03-08 09:46:19	ga_ls8c_ard_3-1-0_095072_2020-03-08_final
2020-04-22 09:21:02	ga_ls8c_ard_3-1-0_090087_2020-04-21_final
2020-04-22 09:21:26	ga_ls8c_ard_3-1-0_090088_2020-04-21_final
2020-04-22 09:21:50	ga_ls8c_ard_3-1-0_090089_2020-04-21_final
2020-04-22 09:22:14	ga_ls8c_ard_3-1-0_090090_2020-04-21_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