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
2015-08-31 09:21:18	ga_ls8c_ard_3-0-0_090087_2015-08-30_final
2015-08-31 09:21:42	ga_ls8c_ard_3-0-0_090088_2015-08-30_final
2015-08-31 09:22:06	ga_ls8c_ard_3-0-0_090089_2015-08-30_final
2015-08-31 09:22:30	ga_ls8c_ard_3-0-0_090090_2015-08-30_final
2015-08-31 09:22:54	ga_ls8c_ard_3-0-0_090091_2015-08-30_final
2015-09-26 09:50:35	ga_ls8c_ard_3-0-0_096067_2015-09-26_final
2015-09-28 09:39:50	ga_ls8c_ard_3-0-0_094071_2015-09-28_final
2015-09-28 09:40:14	ga_ls8c_ard_3-0-0_094072_2015-09-28_final
2015-09-28 09:40:38	ga_ls8c_ard_3-0-0_094073_2015-09-28_final
2015-09-28 09:41:02	ga_ls8c_ard_3-0-0_094074_2015-09-28_final
2015-09-28 09:41:26	ga_ls8c_ard_3-0-0_094075_2015-09-28_final
2015-09-28 09:41:50	ga_ls8c_ard_3-0-0_094076_2015-09-28_final
2015-10-05 09:44:26	ga_ls8c_ard_3-0-0_095067_2015-10-05_final
2015-10-05 09:45:37	ga_ls8c_ard_3-0-0_095070_2015-10-05_final
2015-10-05 09:46:01	ga_ls8c_ard_3-0-0_095071_2015-10-05_final
2015-10-07 09:35:16	ga_ls8c_ard_3-0-0_093075_2015-10-07_final
2015-10-07 09:35:39	ga_ls8c_ard_3-0-0_093076_2015-10-07_final
2015-10-07 09:36:03	ga_ls8c_ard_3-0-0_093077_2015-10-07_final
2015-10-07 09:36:27	ga_ls8c_ard_3-0-0_093078_2015-10-07_final
2015-10-07 09:36:51	ga_ls8c_ard_3-0-0_093079_2015-10-07_final
2015-10-07 09:37:15	ga_ls8c_ard_3-0-0_093080_2015-10-07_final
2015-10-07 09:37:39	ga_ls8c_ard_3-0-0_093081_2015-10-07_final
2015-11-06 09:44:31	ga_ls8c_ard_3-0-0_095067_2015-11-06_final
2015-11-06 09:45:43	ga_ls8c_ard_3-0-0_095070_2015-11-06_final
2015-11-06 09:46:07	ga_ls8c_ard_3-0-0_095071_2015-11-06_final
2015-11-08 09:35:21	ga_ls8c_ard_3-0-0_093075_2015-11-08_final
2015-11-08 09:35:45	ga_ls8c_ard_3-0-0_093076_2015-11-08_final
2015-11-08 09:36:09	ga_ls8c_ard_3-0-0_093077_2015-11-08_final
2015-11-08 09:36:33	ga_ls8c_ard_3-0-0_093078_2015-11-08_final
2015-11-08 09:36:57	ga_ls8c_ard_3-0-0_093079_2015-11-08_final
2015-11-08 09:37:21	ga_ls8c_ard_3-0-0_093080_2015-11-08_final
2015-11-08 09:37:45	ga_ls8c_ard_3-0-0_093081_2015-11-08_final
2015-11-29 09:50:44	ga_ls8c_ard_3-0-0_096067_2015-11-29_final
2015-12-21 09:21:38	ga_ls8c_ard_3-0-0_090087_2015-12-20_final
2015-12-21 09:22:02	ga_ls8c_ard_3-0-0_090088_2015-12-20_final
2015-12-21 09:22:26	ga_ls8c_ard_3-0-0_090089_2015-12-20_final
2015-12-21 09:22:50	ga_ls8c_ard_3-0-0_090090_2015-12-20_final
2015-12-21 09:23:14	ga_ls8c_ard_3-0-0_090091_2015-12-20_final
2017-04-10 09:39:20	ga_ls8c_ard_3-0-0_094071_2017-04-10_final
2017-04-10 09:39:44	ga_ls8c_ard_3-0-0_094072_2017-04-10_final
2017-04-10 09:40:08	ga_ls8c_ard_3-0-0_094073_2017-04-10_final
2017-04-10 09:40:32	ga_ls8c_ard_3-0-0_094074_2017-04-10_final
2017-04-10 09:40:55	ga_ls8c_ard_3-0-0_094075_2017-04-10_final
2017-04-10 09:41:19	ga_ls8c_ard_3-0-0_094076_2017-04-10_final
2017-05-10 09:49:57	ga_ls8c_ard_3-0-0_096067_2017-05-10_final
2017-05-12 09:39:13	ga_ls8c_ard_3-0-0_094071_2017-05-12_final
2017-05-12 09:39:37	ga_ls8c_ard_3-0-0_094072_2017-05-12_final
2017-05-12 09:40:01	ga_ls8c_ard_3-0-0_094073_2017-05-12_final
2017-05-12 09:40:25	ga_ls8c_ard_3-0-0_094074_2017-05-12_final
2017-05-12 09:40:49	ga_ls8c_ard_3-0-0_094075_2017-05-12_final
2017-05-12 09:41:13	ga_ls8c_ard_3-0-0_094076_2017-05-12_final
2017-06-11 09:50:16	ga_ls8c_ard_3-0-0_096067_2017-06-11_final
2017-06-13 09:39:31	ga_ls8c_ard_3-0-0_094071_2017-06-13_final
2017-06-13 09:39:55	ga_ls8c_ard_3-0-0_094072_2017-06-13_final
2017-06-13 09:40:19	ga_ls8c_ard_3-0-0_094073_2017-06-13_final
2017-06-13 09:40:43	ga_ls8c_ard_3-0-0_094074_2017-06-13_final
2017-06-13 09:41:07	ga_ls8c_ard_3-0-0_094075_2017-06-13_final
2017-06-13 09:41:31	ga_ls8c_ard_3-0-0_094076_2017-06-13_final
2017-07-22 09:44:18	ga_ls8c_ard_3-0-0_095067_2017-07-22_final
2017-07-22 09:45:29	ga_ls8c_ard_3-0-0_095070_2017-07-22_final
2017-07-22 09:45:53	ga_ls8c_ard_3-0-0_095071_2017-07-22_final
2017-07-22 09:46:17	ga_ls8c_ard_3-0-0_095072_2017-07-22_final
2017-07-24 09:35:08	ga_ls8c_ard_3-0-0_093075_2017-07-24_final
2017-07-24 09:35:32	ga_ls8c_ard_3-0-0_093076_2017-07-24_final
2017-07-24 09:35:56	ga_ls8c_ard_3-0-0_093077_2017-07-24_final
2017-07-24 09:36:20	ga_ls8c_ard_3-0-0_093078_2017-07-24_final
2017-07-24 09:36:44	ga_ls8c_ard_3-0-0_093079_2017-07-24_final
2017-07-24 09:37:08	ga_ls8c_ard_3-0-0_093080_2017-07-24_final
2017-07-24 09:37:32	ga_ls8c_ard_3-0-0_093081_2017-07-24_final
2017-07-26 09:25:59	ga_ls8c_ard_3-0-0_091083_2017-07-25_final
2017-07-26 09:26:23	ga_ls8c_ard_3-0-0_091084_2017-07-25_final
2017-07-26 09:26:47	ga_ls8c_ard_3-0-0_091085_2017-07-25_final
2017-07-26 09:27:11	ga_ls8c_ard_3-0-0_091086_2017-07-25_final
2017-07-26 09:27:35	ga_ls8c_ard_3-1-0_091087_2017-07-25_final
2017-07-26 09:27:59	ga_ls8c_ard_3-0-0_091088_2017-07-25_final
2017-07-26 09:28:23	ga_ls8c_ard_3-0-0_091089_2017-07-25_final
2017-08-11 09:26:06	ga_ls8c_ard_3-0-0_091083_2017-08-10_final
2017-08-11 09:26:30	ga_ls8c_ard_3-0-0_091084_2017-08-10_final
2017-08-11 09:26:54	ga_ls8c_ard_3-0-0_091085_2017-08-10_final
2017-08-11 09:27:18	ga_ls8c_ard_3-0-0_091086_2017-08-10_final
2017-08-11 09:27:42	ga_ls8c_ard_3-0-0_091087_2017-08-10_final
2017-08-11 09:28:06	ga_ls8c_ard_3-0-0_091088_2017-08-10_final
2017-08-11 09:28:30	ga_ls8c_ard_3-0-0_091089_2017-08-10_final
2017-08-29 09:16:36	ga_ls8c_ard_3-0-0_089090_2017-08-28_final
2017-09-28 09:26:17	ga_ls8c_ard_3-0-0_091083_2017-09-27_final
2017-09-28 09:26:41	ga_ls8c_ard_3-0-0_091084_2017-09-27_final
2017-09-28 09:27:05	ga_ls8c_ard_3-0-0_091085_2017-09-27_final
2017-09-28 09:27:29	ga_ls8c_ard_3-0-0_091086_2017-09-27_final
2017-09-28 09:27:53	ga_ls8c_ard_3-0-0_091087_2017-09-27_final
2017-09-28 09:28:17	ga_ls8c_ard_3-0-0_091088_2017-09-27_final
2017-09-28 09:28:41	ga_ls8c_ard_3-0-0_091089_2017-09-27_final
2017-10-10 09:44:41	ga_ls8c_ard_3-0-0_095067_2017-10-10_final
2017-10-10 09:45:53	ga_ls8c_ard_3-0-0_095070_2017-10-10_final
2017-10-10 09:46:17	ga_ls8c_ard_3-0-0_095071_2017-10-10_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

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