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
2014-07-16 09:35:07	ga_ls8c_ard_3-0-0_093075_2014-07-16_final
2014-07-16 09:35:31	ga_ls8c_ard_3-0-0_093076_2014-07-16_final
2014-07-16 09:35:55	ga_ls8c_ard_3-0-0_093077_2014-07-16_final
2014-07-16 09:36:18	ga_ls8c_ard_3-0-0_093078_2014-07-16_final
2014-07-16 09:36:42	ga_ls8c_ard_3-0-0_093079_2014-07-16_final
2014-07-16 09:37:06	ga_ls8c_ard_3-0-0_093080_2014-07-16_final
2014-07-16 09:37:30	ga_ls8c_ard_3-0-0_093081_2014-07-16_final
2014-07-18 09:25:57	ga_ls8c_ard_3-0-0_091083_2014-07-17_final
2014-07-18 09:26:21	ga_ls8c_ard_3-0-0_091084_2014-07-17_final
2014-07-18 09:26:45	ga_ls8c_ard_3-0-0_091085_2014-07-17_final
2014-07-18 09:27:09	ga_ls8c_ard_3-0-0_091086_2014-07-17_final
2014-07-18 09:27:33	ga_ls8c_ard_3-0-0_091087_2014-07-17_final
2014-07-18 09:27:57	ga_ls8c_ard_3-0-0_091088_2014-07-17_final
2014-07-18 09:28:20	ga_ls8c_ard_3-0-0_091089_2014-07-17_final
2014-07-20 09:16:23	ga_ls8c_ard_3-0-0_089090_2014-07-19_final
2014-07-21 09:50:28	ga_ls8c_ard_3-0-0_096067_2014-07-21_final
2015-09-21 09:35:13	ga_ls8c_ard_3-0-0_093075_2015-09-21_final
2015-09-21 09:35:37	ga_ls8c_ard_3-0-0_093076_2015-09-21_final
2015-09-21 09:36:01	ga_ls8c_ard_3-0-0_093077_2015-09-21_final
2015-09-21 09:36:25	ga_ls8c_ard_3-0-0_093078_2015-09-21_final
2015-09-21 09:36:49	ga_ls8c_ard_3-0-0_093079_2015-09-21_final
2015-09-21 09:37:12	ga_ls8c_ard_3-0-0_093080_2015-09-21_final
2015-09-21 09:37:36	ga_ls8c_ard_3-0-0_093081_2015-09-21_final
2015-09-23 09:26:03	ga_ls8c_ard_3-0-0_091083_2015-09-22_final
2015-09-23 09:26:27	ga_ls8c_ard_3-0-0_091084_2015-09-22_final
2015-09-23 09:26:51	ga_ls8c_ard_3-0-0_091085_2015-09-22_final
2015-09-23 09:27:15	ga_ls8c_ard_3-0-0_091086_2015-09-22_final
2015-09-23 09:27:39	ga_ls8c_ard_3-0-0_091087_2015-09-22_final
2015-09-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2015-09-22_final
2015-09-23 09:28:27	ga_ls8c_ard_3-0-0_091089_2015-09-22_final
2015-11-26 09:26:13	ga_ls8c_ard_3-0-0_091083_2015-11-25_final
2015-11-26 09:26:37	ga_ls8c_ard_3-0-0_091084_2015-11-25_final
2015-11-26 09:27:01	ga_ls8c_ard_3-0-0_091085_2015-11-25_final
2015-11-26 09:27:25	ga_ls8c_ard_3-0-0_091086_2015-11-25_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2015-11-26 09:28:13	ga_ls8c_ard_3-0-0_091088_2015-11-25_final
2015-11-26 09:28:37	ga_ls8c_ard_3-0-0_091089_2015-11-25_final
2015-12-17 09:39:58	ga_ls8c_ard_3-0-0_094071_2015-12-17_final
2015-12-17 09:40:22	ga_ls8c_ard_3-0-0_094072_2015-12-17_final
2015-12-17 09:40:45	ga_ls8c_ard_3-0-0_094073_2015-12-17_final
2015-12-17 09:41:09	ga_ls8c_ard_3-0-0_094074_2015-12-17_final
2015-12-17 09:41:33	ga_ls8c_ard_3-0-0_094075_2015-12-17_final
2015-12-17 09:41:57	ga_ls8c_ard_3-0-0_094076_2015-12-17_final
2015-12-19 09:30:48	ga_ls8c_ard_3-0-0_092079_2015-12-19_final
2015-12-19 09:31:12	ga_ls8c_ard_3-0-0_092080_2015-12-19_final
2015-12-19 09:31:36	ga_ls8c_ard_3-0-0_092081_2015-12-19_final
2015-12-19 09:32:00	ga_ls8c_ard_3-0-0_092082_2015-12-19_final
2015-12-19 09:32:24	ga_ls8c_ard_3-0-0_092083_2015-12-19_final
2015-12-19 09:32:47	ga_ls8c_ard_3-0-0_092084_2015-12-19_final
2015-12-19 09:33:11	ga_ls8c_ard_3-0-0_092085_2015-12-19_final
2016-03-22 09:39:35	ga_ls8c_ard_3-0-0_094071_2016-03-22_final
2016-03-22 09:39:59	ga_ls8c_ard_3-0-0_094072_2016-03-22_final
2016-03-22 09:40:23	ga_ls8c_ard_3-0-0_094073_2016-03-22_final
2016-03-24 09:30:48	ga_ls8c_ard_3-0-0_092080_2016-03-24_final
2016-03-24 09:31:12	ga_ls8c_ard_3-0-0_092081_2016-03-24_final
2016-03-24 09:31:36	ga_ls8c_ard_3-0-0_092082_2016-03-24_final
2016-03-24 09:32:00	ga_ls8c_ard_3-0-0_092083_2016-03-24_final
2016-03-24 09:32:24	ga_ls8c_ard_3-0-0_092084_2016-03-24_final
2016-03-24 09:32:48	ga_ls8c_ard_3-0-0_092085_2016-03-24_final
2018-03-05 09:34:54	ga_ls8c_ard_3-0-0_093075_2018-03-05_final
2018-03-05 09:35:18	ga_ls8c_ard_3-0-0_093076_2018-03-05_final
2018-03-05 09:35:42	ga_ls8c_ard_3-0-0_093077_2018-03-05_final
2018-03-05 09:36:06	ga_ls8c_ard_3-0-0_093078_2018-03-05_final
2018-03-05 09:36:30	ga_ls8c_ard_3-0-0_093079_2018-03-05_final
2018-03-05 09:36:54	ga_ls8c_ard_3-0-0_093080_2018-03-05_final
2018-03-05 09:37:18	ga_ls8c_ard_3-0-0_093081_2018-03-05_final
2018-03-07 09:25:43	ga_ls8c_ard_3-0-0_091083_2018-03-06_final
2018-03-07 09:26:07	ga_ls8c_ard_3-0-0_091084_2018-03-06_final
2018-03-07 09:26:31	ga_ls8c_ard_3-0-0_091085_2018-03-06_final
2018-03-07 09:26:55	ga_ls8c_ard_3-0-0_091086_2018-03-06_final
2018-03-07 09:27:19	ga_ls8c_ard_3-0-0_091087_2018-03-06_final
2018-03-07 09:27:43	ga_ls8c_ard_3-0-0_091088_2018-03-06_final
2018-03-07 09:28:07	ga_ls8c_ard_3-1-0_091089_2018-03-06_final
2018-04-01 09:20:56	ga_ls8c_ard_3-0-0_090087_2018-03-31_final
2018-04-01 09:21:20	ga_ls8c_ard_3-0-0_090088_2018-03-31_final
2018-04-01 09:21:44	ga_ls8c_ard_3-0-0_090089_2018-03-31_final
2018-04-01 09:22:08	ga_ls8c_ard_3-0-0_090090_2018-03-31_final
2018-04-01 09:22:32	ga_ls8c_ard_3-0-0_090091_2018-03-31_final
2018-05-03 09:20:38	ga_ls8c_ard_3-0-0_090087_2018-05-02_final
2018-05-03 09:21:02	ga_ls8c_ard_3-0-0_090088_2018-05-02_final
2018-05-03 09:21:26	ga_ls8c_ard_3-0-0_090089_2018-05-02_final
2018-05-03 09:21:50	ga_ls8c_ard_3-0-0_090090_2018-05-02_final
2018-05-03 09:22:14	ga_ls8c_ard_3-0-0_090091_2018-05-02_final
2018-05-06 09:43:32	ga_ls8c_ard_3-0-0_095067_2018-05-06_final
2018-05-06 09:44:43	ga_ls8c_ard_3-0-0_095070_2018-05-06_final
2018-05-06 09:45:07	ga_ls8c_ard_3-0-0_095071_2018-05-06_final
2018-05-06 09:45:31	ga_ls8c_ard_3-0-0_095072_2018-05-06_final
2018-07-11 09:34:23	ga_ls8c_ard_3-0-0_093075_2018-07-11_final
2018-07-11 09:34:47	ga_ls8c_ard_3-0-0_093076_2018-07-11_final
2018-07-11 09:35:10	ga_ls8c_ard_3-0-0_093077_2018-07-11_final
2018-07-11 09:35:34	ga_ls8c_ard_3-0-0_093078_2018-07-11_final
2018-07-11 09:35:58	ga_ls8c_ard_3-0-0_093079_2018-07-11_final
2018-07-11 09:36:22	ga_ls8c_ard_3-0-0_093080_2018-07-11_final
2018-07-11 09:36:46	ga_ls8c_ard_3-0-0_093081_2018-07-11_final
2018-07-13 09:25:13	ga_ls8c_ard_3-0-0_091083_2018-07-12_final
2018-07-13 09:25:37	ga_ls8c_ard_3-0-0_091084_2018-07-12_final
2018-07-13 09:26:01	ga_ls8c_ard_3-0-0_091085_2018-07-12_final
2018-07-13 09:26:25	ga_ls8c_ard_3-0-0_091086_2018-07-12_final
2018-07-13 09:26:49	ga_ls8c_ard_3-0-0_091087_2018-07-12_final
2018-07-13 09:27:13	ga_ls8c_ard_3-0-0_091088_2018-07-12_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