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
2014-12-28 09:50:39	ga_ls8c_ard_3-0-0_096067_2014-12-28_final
2014-12-30 09:40:40	ga_ls8c_ard_3-0-0_094073_2014-12-30_final
2014-12-30 09:41:04	ga_ls8c_ard_3-0-0_094074_2014-12-30_final
2014-12-30 09:41:28	ga_ls8c_ard_3-0-0_094075_2014-12-30_final
2014-12-30 09:41:52	ga_ls8c_ard_3-0-0_094076_2014-12-30_final
2014-12-30 09:42:15	ga_ls8c_ard_3-0-0_094077_2014-12-30_final
2014-12-30 09:42:39	ga_ls8c_ard_3-0-0_094078_2014-12-30_final
2014-12-30 09:43:03	ga_ls8c_ard_3-0-0_094079_2014-12-30_final
2015-03-27 09:45:06	ga_ls8c_ard_3-0-0_095070_2015-03-27_final
2015-03-29 09:35:54	ga_ls8c_ard_3-0-0_093078_2015-03-29_final
2015-03-29 09:36:18	ga_ls8c_ard_3-0-0_093079_2015-03-29_final
2015-03-29 09:36:42	ga_ls8c_ard_3-0-0_093080_2015-03-29_final
2015-03-29 09:37:06	ga_ls8c_ard_3-0-0_093081_2015-03-29_final
2015-03-29 09:37:30	ga_ls8c_ard_3-0-0_093082_2015-03-29_final
2015-03-29 09:37:54	ga_ls8c_ard_3-0-0_093083_2015-03-29_final
2015-03-31 09:26:18	ga_ls8c_ard_3-0-0_091085_2015-03-30_final
2015-03-31 09:26:42	ga_ls8c_ard_3-0-0_091086_2015-03-30_final
2015-03-31 09:27:06	ga_ls8c_ard_3-0-0_091087_2015-03-30_final
2015-03-31 09:27:30	ga_ls8c_ard_3-0-0_091088_2015-03-30_final
2015-03-31 09:27:54	ga_ls8c_ard_3-0-0_091089_2015-03-30_final
2015-03-31 09:28:18	ga_ls8c_ard_3-0-0_091090_2015-03-30_final
2015-04-30 09:35:17	ga_ls8c_ard_3-0-0_093077_2015-04-30_final
2015-04-30 09:35:41	ga_ls8c_ard_3-0-0_093078_2015-04-30_final
2015-04-30 09:36:05	ga_ls8c_ard_3-0-0_093079_2015-04-30_final
2015-04-30 09:36:29	ga_ls8c_ard_3-0-0_093080_2015-04-30_final
2015-04-30 09:36:53	ga_ls8c_ard_3-0-0_093081_2015-04-30_final
2015-04-30 09:37:17	ga_ls8c_ard_3-0-0_093082_2015-04-30_final
2015-04-30 09:37:41	ga_ls8c_ard_3-0-0_093083_2015-04-30_final
2015-05-14 09:44:37	ga_ls8c_ard_3-0-0_095070_2015-05-14_final
2015-05-14 09:45:01	ga_ls8c_ard_3-0-0_095071_2015-05-14_final
2015-05-14 09:45:25	ga_ls8c_ard_3-0-0_095072_2015-05-14_final
2015-05-14 09:45:49	ga_ls8c_ard_3-0-0_095073_2015-05-14_final
2015-05-14 09:46:13	ga_ls8c_ard_3-0-0_095074_2015-05-14_final
2015-05-16 09:35:03	ga_ls8c_ard_3-0-0_093077_2015-05-16_final
2015-05-16 09:35:27	ga_ls8c_ard_3-0-0_093078_2015-05-16_final
2015-05-16 09:35:51	ga_ls8c_ard_3-0-0_093079_2015-05-16_final
2015-05-16 09:36:15	ga_ls8c_ard_3-0-0_093080_2015-05-16_final
2015-05-16 09:36:39	ga_ls8c_ard_3-0-0_093081_2015-05-16_final
2015-05-16 09:37:03	ga_ls8c_ard_3-0-0_093082_2015-05-16_final
2015-05-16 09:37:27	ga_ls8c_ard_3-0-0_093083_2015-05-16_final
2016-04-30 09:45:12	ga_ls8c_ard_3-0-0_095070_2016-04-30_final
2016-04-30 09:45:36	ga_ls8c_ard_3-0-0_095071_2016-04-30_final
2016-04-30 09:46:00	ga_ls8c_ard_3-0-0_095072_2016-04-30_final
2016-04-30 09:46:23	ga_ls8c_ard_3-0-0_095073_2016-04-30_final
2016-04-30 09:46:47	ga_ls8c_ard_3-0-0_095074_2016-04-30_final
2016-05-02 09:35:40	ga_ls8c_ard_3-0-0_093077_2016-05-02_final
2016-05-02 09:36:03	ga_ls8c_ard_3-0-0_093078_2016-05-02_final
2016-05-02 09:36:27	ga_ls8c_ard_3-0-0_093079_2016-05-02_final
2016-05-02 09:36:51	ga_ls8c_ard_3-0-0_093080_2016-05-02_final
2016-05-02 09:37:15	ga_ls8c_ard_3-0-0_093081_2016-05-02_final
2016-05-02 09:37:39	ga_ls8c_ard_3-0-0_093082_2016-05-02_final
2016-05-02 09:38:03	ga_ls8c_ard_3-0-0_093083_2016-05-02_final
2016-05-09 09:40:12	ga_ls8c_ard_3-0-0_094073_2016-05-09_final
2016-05-09 09:40:35	ga_ls8c_ard_3-0-0_094074_2016-05-09_final
2016-05-09 09:40:59	ga_ls8c_ard_3-0-0_094075_2016-05-09_final
2016-05-09 09:41:23	ga_ls8c_ard_3-0-0_094076_2016-05-09_final
2016-05-09 09:41:47	ga_ls8c_ard_3-0-0_094077_2016-05-09_final
2016-05-09 09:42:11	ga_ls8c_ard_3-0-0_094078_2016-05-09_final
2016-05-09 09:42:35	ga_ls8c_ard_3-0-0_094079_2016-05-09_final
2016-06-30 09:22:07	ga_ls8c_ard_3-0-0_090089_2016-06-29_final
2016-06-30 09:22:31	ga_ls8c_ard_3-0-0_090090_2016-06-29_final
2016-06-30 09:22:55	ga_ls8c_ard_3-0-0_090091_2016-06-29_final
2016-07-03 09:45:28	ga_ls8c_ard_3-0-0_095070_2016-07-03_final
2016-07-03 09:45:52	ga_ls8c_ard_3-0-0_095071_2016-07-03_final
2016-07-03 09:46:16	ga_ls8c_ard_3-0-0_095072_2016-07-03_final
2016-07-03 09:46:40	ga_ls8c_ard_3-0-0_095073_2016-07-03_final
2016-07-03 09:47:04	ga_ls8c_ard_3-0-0_095074_2016-07-03_final
2016-07-05 09:35:55	ga_ls8c_ard_3-0-0_093077_2016-07-05_final
2016-07-05 09:36:19	ga_ls8c_ard_3-0-0_093078_2016-07-05_final
2016-07-05 09:36:43	ga_ls8c_ard_3-0-0_093079_2016-07-05_final
2016-07-05 09:37:07	ga_ls8c_ard_3-0-0_093080_2016-07-05_final
2016-07-05 09:37:31	ga_ls8c_ard_3-0-0_093081_2016-07-05_final
2016-07-05 09:37:55	ga_ls8c_ard_3-0-0_093082_2016-07-05_final
2016-07-05 09:38:19	ga_ls8c_ard_3-0-0_093083_2016-07-05_final
2016-07-16 09:22:15	ga_ls8c_ard_3-0-0_090089_2016-07-15_final
2016-07-16 09:22:39	ga_ls8c_ard_3-0-0_090090_2016-07-15_final
2016-07-16 09:23:03	ga_ls8c_ard_3-0-0_090091_2016-07-15_final
2016-07-19 09:45:35	ga_ls8c_ard_3-0-0_095070_2016-07-19_final
2016-07-19 09:45:59	ga_ls8c_ard_3-0-0_095071_2016-07-19_final
2016-07-19 09:46:23	ga_ls8c_ard_3-0-0_095072_2016-07-19_final
2016-07-19 09:46:46	ga_ls8c_ard_3-0-0_095073_2016-07-19_final
2016-07-19 09:47:10	ga_ls8c_ard_3-0-0_095074_2016-07-19_final
2016-07-21 09:36:01	ga_ls8c_ard_3-0-0_093077_2016-07-21_final
2016-07-21 09:36:25	ga_ls8c_ard_3-0-0_093078_2016-07-21_final
2016-07-21 09:36:49	ga_ls8c_ard_3-0-0_093079_2016-07-21_final
2016-07-21 09:37:13	ga_ls8c_ard_3-0-0_093080_2016-07-21_final
2016-07-21 09:37:37	ga_ls8c_ard_3-0-0_093081_2016-07-21_final
2016-07-21 09:38:01	ga_ls8c_ard_3-0-0_093082_2016-07-21_final
2016-07-21 09:38:25	ga_ls8c_ard_3-0-0_093083_2016-07-21_final
2016-08-11 09:50:37	ga_ls8c_ard_3-0-0_096067_2016-08-11_final
2016-08-11 09:51:01	ga_ls8c_ard_3-0-0_096068_2016-08-11_final
2016-08-11 09:51:25	ga_ls8c_ard_3-0-0_096069_2016-08-11_final
2018-09-22 09:31:30	ga_ls8c_ard_3-0-0_092082_2018-09-22_final
2018-09-22 09:31:54	ga_ls8c_ard_3-0-0_092083_2018-09-22_final
2018-09-22 09:32:18	ga_ls8c_ard_3-0-0_092084_2018-09-22_final
2018-09-22 09:32:42	ga_ls8c_ard_3-0-0_092085_2018-09-22_final
2018-09-22 09:33:06	ga_ls8c_ard_3-0-0_092086_2018-09-22_final
2018-09-22 09:33:30	ga_ls8c_ard_3-0-0_092087_2018-09-22_final
2018-09-24 09:21:58	ga_ls8c_ard_3-0-0_090089_2018-09-23_final
2018-09-24 09:22:22	ga_ls8c_ard_3-0-0_090090_2018-09-23_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