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
2013-12-20 09:38:18	ga_ls8c_ard_3-0-0_093079_2013-12-20_final
2013-12-20 09:38:42	ga_ls8c_ard_3-0-0_093080_2013-12-20_final
2013-12-20 09:39:06	ga_ls8c_ard_3-0-0_093081_2013-12-20_final
2013-12-20 09:39:30	ga_ls8c_ard_3-0-0_093082_2013-12-20_final
2013-12-20 09:39:54	ga_ls8c_ard_3-0-0_093083_2013-12-20_final
2013-12-20 09:40:18	ga_ls8c_ard_3-0-0_093084_2013-12-20_final
2013-12-22 09:28:44	ga_ls8c_ard_3-0-0_091086_2013-12-21_final
2014-01-10 09:51:51	ga_ls8c_ard_3-0-0_096067_2014-01-10_final
2014-01-10 09:53:27	ga_ls8c_ard_3-0-0_096071_2014-01-10_final
2014-01-12 09:42:39	ga_ls8c_ard_3-0-0_094075_2014-01-12_final
2014-01-12 09:43:03	ga_ls8c_ard_3-0-0_094076_2014-01-12_final
2014-01-12 09:43:26	ga_ls8c_ard_3-0-0_094077_2014-01-12_final
2014-01-12 09:43:50	ga_ls8c_ard_3-0-0_094078_2014-01-12_final
2014-01-12 09:44:14	ga_ls8c_ard_3-0-0_094079_2014-01-12_final
2014-01-12 09:44:38	ga_ls8c_ard_3-0-0_094080_2014-01-12_final
2014-01-14 09:33:26	ga_ls8c_ard_3-0-0_092083_2014-01-14_final
2014-01-14 09:33:50	ga_ls8c_ard_3-0-0_092084_2014-01-14_final
2014-01-14 09:34:14	ga_ls8c_ard_3-0-0_092085_2014-01-14_final
2014-01-14 09:34:38	ga_ls8c_ard_3-0-0_092086_2014-01-14_final
2014-01-14 09:35:02	ga_ls8c_ard_3-0-0_092087_2014-01-14_final
2014-01-14 09:35:26	ga_ls8c_ard_3-0-0_092088_2014-01-14_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
2016-07-21 09:38:49	ga_ls8c_ard_3-0-0_093084_2016-07-21_final
2016-07-23 09:27:16	ga_ls8c_ard_3-0-0_091086_2016-07-22_final
2016-07-23 09:27:40	ga_ls8c_ard_3-0-0_091087_2016-07-22_final
2016-07-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2016-07-22_final
2016-07-23 09:28:27	ga_ls8c_ard_3-0-0_091089_2016-07-22_final
2016-07-23 09:28:51	ga_ls8c_ard_3-0-0_091090_2016-07-22_final
2016-07-23 09:29:15	ga_ls8c_ard_3-0-0_091091_2016-07-22_final
2016-08-06 09:36:52	ga_ls8c_ard_3-0-0_093079_2016-08-06_final
2016-08-06 09:37:16	ga_ls8c_ard_3-0-0_093080_2016-08-06_final
2016-08-06 09:37:40	ga_ls8c_ard_3-0-0_093081_2016-08-06_final
2016-08-06 09:38:04	ga_ls8c_ard_3-0-0_093082_2016-08-06_final
2016-08-06 09:38:28	ga_ls8c_ard_3-0-0_093083_2016-08-06_final
2016-08-06 09:38:51	ga_ls8c_ard_3-0-0_093084_2016-08-06_final
2016-08-08 09:27:42	ga_ls8c_ard_3-0-0_091087_2016-08-07_final
2016-08-08 09:28:06	ga_ls8c_ard_3-0-0_091088_2016-08-07_final
2016-08-08 09:28:30	ga_ls8c_ard_3-0-0_091089_2016-08-07_final
2016-08-08 09:28:54	ga_ls8c_ard_3-0-0_091090_2016-08-07_final
2016-08-08 09:29:18	ga_ls8c_ard_3-0-0_091091_2016-08-07_final
2016-10-09 09:37:08	ga_ls8c_ard_3-0-0_093079_2016-10-09_final
2016-10-09 09:37:32	ga_ls8c_ard_3-0-0_093080_2016-10-09_final
2016-10-09 09:37:56	ga_ls8c_ard_3-0-0_093081_2016-10-09_final
2016-10-09 09:38:20	ga_ls8c_ard_3-0-0_093082_2016-10-09_final
2016-10-09 09:38:44	ga_ls8c_ard_3-0-0_093083_2016-10-09_final
2016-10-09 09:39:08	ga_ls8c_ard_3-0-0_093084_2016-10-09_final
2016-10-11 09:27:35	ga_ls8c_ard_3-0-0_091086_2016-10-10_final
2016-10-11 09:27:59	ga_ls8c_ard_3-0-0_091087_2016-10-10_final
2016-10-11 09:28:23	ga_ls8c_ard_3-0-0_091088_2016-10-10_final
2016-10-11 09:28:47	ga_ls8c_ard_3-0-0_091089_2016-10-10_final
2016-10-11 09:29:10	ga_ls8c_ard_3-0-0_091090_2016-10-10_final
2016-10-11 09:29:34	ga_ls8c_ard_3-0-0_091091_2016-10-10_final
2019-08-22 09:41:35	ga_ls8c_ard_3-1-0_094075_2019-08-22_final
2019-08-22 09:41:59	ga_ls8c_ard_3-1-0_094076_2019-08-22_final
2019-08-22 09:42:23	ga_ls8c_ard_3-1-0_094077_2019-08-22_final
2019-08-22 09:42:47	ga_ls8c_ard_3-1-0_094078_2019-08-22_final
2019-08-22 09:43:11	ga_ls8c_ard_3-1-0_094079_2019-08-22_final
2019-08-22 09:43:35	ga_ls8c_ard_3-1-0_094080_2019-08-22_final
2019-08-24 09:32:25	ga_ls8c_ard_3-1-0_092083_2019-08-24_final
2019-08-24 09:32:49	ga_ls8c_ard_3-1-0_092084_2019-08-24_final
2019-08-24 09:33:13	ga_ls8c_ard_3-1-0_092085_2019-08-24_final
2019-08-24 09:33:37	ga_ls8c_ard_3-1-0_092086_2019-08-24_final
2019-08-24 09:34:01	ga_ls8c_ard_3-1-0_092087_2019-08-24_final
2019-08-24 09:34:25	ga_ls8c_ard_3-1-0_092088_2019-08-24_final
2019-11-01 09:46:00	ga_ls8c_ard_3-1-0_095070_2019-11-01_final
2019-11-01 09:46:24	ga_ls8c_ard_3-1-0_095071_2019-11-01_final
2019-11-01 09:46:48	ga_ls8c_ard_3-1-0_095072_2019-11-01_final
2019-11-01 09:47:11	ga_ls8c_ard_3-1-0_095073_2019-11-01_final
2019-11-01 09:47:35	ga_ls8c_ard_3-1-0_095074_2019-11-01_final
2019-11-01 09:47:59	ga_ls8c_ard_3-1-0_095075_2019-11-01_final
2019-11-01 09:48:23	ga_ls8c_ard_3-1-0_095076_2019-11-01_final
2021-10-18 09:23:07	ga_ls8c_ard_3-2-0_090090_2021-10-17_final
2021-10-18 09:23:31	ga_ls8c_ard_3-2-0_090091_2021-10-17_final
2021-10-21 09:46:02	ga_ls8c_ard_3-2-0_095070_2021-10-21_final
2021-10-21 09:46:26	ga_ls8c_ard_3-2-0_095071_2021-10-21_final
2021-10-21 09:46:50	ga_ls8c_ard_3-2-0_095072_2021-10-21_final
2021-10-21 09:47:14	ga_ls8c_ard_3-2-0_095073_2021-10-21_final
2021-10-21 09:47:38	ga_ls8c_ard_3-2-0_095074_2021-10-21_final
2021-10-21 09:48:02	ga_ls8c_ard_3-2-0_095075_2021-10-21_final
2021-10-21 09:48:26	ga_ls8c_ard_3-2-0_095076_2021-10-21_final
2021-10-23 09:37:16	ga_ls8c_ard_3-2-0_093079_2021-10-23_final
2021-10-23 09:37:40	ga_ls8c_ard_3-2-0_093080_2021-10-23_final
2021-10-23 09:38:04	ga_ls8c_ard_3-2-0_093081_2021-10-23_final
2021-10-23 09:38:28	ga_ls8c_ard_3-2-0_093082_2021-10-23_final
2021-10-23 09:38:52	ga_ls8c_ard_3-2-0_093083_2021-10-23_final
2021-10-23 09:39:16	ga_ls8c_ard_3-2-0_093084_2021-10-23_final
2021-10-25 09:27:42	ga_ls8c_ard_3-2-0_091086_2021-10-24_final
2021-10-25 09:28:06	ga_ls8c_ard_3-2-0_091087_2021-10-24_final
2021-10-25 09:28:30	ga_ls8c_ard_3-2-0_091088_2021-10-24_final
2021-10-25 09:28:54	ga_ls8c_ard_3-2-0_091089_2021-10-24_final
2021-10-25 09:29:18	ga_ls8c_ard_3-2-0_091090_2021-10-24_final
2021-10-25 09:29:42	ga_ls8c_ard_3-2-0_091091_2021-10-24_final
2021-10-28 09:51:01	ga_ls8c_ard_3-2-0_096067_2021-10-28_final
2021-10-28 09:51:25	ga_ls8c_ard_3-2-0_096068_2021-10-28_final
2021-10-28 09:51:49	ga_ls8c_ard_3-2-0_096069_2021-10-28_final
2021-10-28 09:52:13	ga_ls8c_ard_3-2-0_096070_2021-10-28_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