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
2014-07-21 09:52:04	ga_ls8c_ard_3-0-0_096071_2014-07-21_final
2014-07-21 09:52:28	ga_ls8c_ard_3-0-0_096072_2014-07-21_final
2014-07-21 09:52:51	ga_ls8c_ard_3-0-0_096073_2014-07-21_final
2014-07-21 09:53:15	ga_ls8c_ard_3-0-0_096074_2014-07-21_final
2014-07-21 09:53:39	ga_ls8c_ard_3-0-0_096075_2014-07-21_final
2014-07-21 09:54:03	ga_ls8c_ard_3-0-0_096076_2014-07-21_final
2014-07-23 09:42:53	ga_ls8c_ard_3-0-0_094079_2014-07-23_final
2014-07-23 09:43:17	ga_ls8c_ard_3-0-0_094080_2014-07-23_final
2014-07-23 09:43:41	ga_ls8c_ard_3-0-0_094081_2014-07-23_final
2014-07-23 09:44:05	ga_ls8c_ard_3-0-0_094082_2014-07-23_final
2014-07-23 09:44:29	ga_ls8c_ard_3-0-0_094083_2014-07-23_final
2014-07-23 09:44:53	ga_ls8c_ard_3-0-0_094084_2014-07-23_final
2014-07-23 09:45:17	ga_ls8c_ard_3-0-0_094085_2014-07-23_final
2014-07-25 09:33:44	ga_ls8c_ard_3-0-0_092087_2014-07-25_final
2014-07-25 09:34:07	ga_ls8c_ard_3-0-0_092088_2014-07-25_final
2014-07-25 09:34:31	ga_ls8c_ard_3-0-0_092089_2014-07-25_final
2014-09-11 09:34:00	ga_ls8c_ard_3-0-0_092087_2014-09-11_final
2014-09-11 09:34:24	ga_ls8c_ard_3-0-0_092088_2014-09-11_final
2014-09-11 09:34:48	ga_ls8c_ard_3-0-0_092089_2014-09-11_final
2014-09-27 09:33:57	ga_ls8c_ard_3-0-0_092087_2014-09-27_final
2014-09-27 09:34:21	ga_ls8c_ard_3-0-0_092088_2014-09-27_final
2014-09-27 09:34:45	ga_ls8c_ard_3-0-0_092089_2014-09-27_final
2014-10-09 09:51:59	ga_ls8c_ard_3-0-0_096070_2014-10-09_final
2014-10-09 09:52:23	ga_ls8c_ard_3-0-0_096071_2014-10-09_final
2014-10-09 09:52:47	ga_ls8c_ard_3-0-0_096072_2014-10-09_final
2014-10-09 09:53:11	ga_ls8c_ard_3-0-0_096073_2014-10-09_final
2014-10-09 09:53:35	ga_ls8c_ard_3-0-0_096074_2014-10-09_final
2014-10-09 09:53:59	ga_ls8c_ard_3-0-0_096075_2014-10-09_final
2014-10-09 09:54:23	ga_ls8c_ard_3-0-0_096076_2014-10-09_final
2014-10-11 09:43:13	ga_ls8c_ard_3-0-0_094079_2014-10-11_final
2014-10-11 09:43:37	ga_ls8c_ard_3-0-0_094080_2014-10-11_final
2014-10-11 09:44:01	ga_ls8c_ard_3-0-0_094081_2014-10-11_final
2014-10-11 09:44:25	ga_ls8c_ard_3-0-0_094082_2014-10-11_final
2014-10-11 09:44:49	ga_ls8c_ard_3-0-0_094083_2014-10-11_final
2014-10-11 09:45:13	ga_ls8c_ard_3-0-0_094084_2014-10-11_final
2014-10-11 09:45:37	ga_ls8c_ard_3-0-0_094085_2014-10-11_final
2014-12-07 09:38:35	ga_ls8c_ard_3-0-0_093083_2014-12-07_final
2014-12-07 09:38:59	ga_ls8c_ard_3-0-0_093084_2014-12-07_final
2014-12-07 09:39:22	ga_ls8c_ard_3-0-0_093085_2014-12-07_final
2014-12-07 09:39:46	ga_ls8c_ard_3-0-0_093086_2014-12-07_final
2014-12-07 09:40:10	ga_ls8c_ard_3-0-0_093087_2014-12-07_final
2014-12-07 09:40:34	ga_ls8c_ard_3-0-0_093088_2014-12-07_final
2014-12-09 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-12-08_final
2014-12-12 09:52:15	ga_ls8c_ard_3-0-0_096071_2014-12-12_final
2014-12-12 09:52:39	ga_ls8c_ard_3-0-0_096072_2014-12-12_final
2014-12-12 09:53:03	ga_ls8c_ard_3-0-0_096073_2014-12-12_final
2014-12-12 09:53:27	ga_ls8c_ard_3-0-0_096074_2014-12-12_final
2014-12-12 09:53:51	ga_ls8c_ard_3-0-0_096075_2014-12-12_final
2014-12-12 09:54:15	ga_ls8c_ard_3-0-0_096076_2014-12-12_final
2015-08-09 09:51:50	ga_ls8c_ard_3-0-0_096071_2015-08-09_final
2015-08-09 09:52:14	ga_ls8c_ard_3-0-0_096072_2015-08-09_final
2015-08-09 09:52:38	ga_ls8c_ard_3-0-0_096073_2015-08-09_final
2015-08-09 09:53:02	ga_ls8c_ard_3-0-0_096074_2015-08-09_final
2015-08-09 09:53:26	ga_ls8c_ard_3-0-0_096075_2015-08-09_final
2015-08-09 09:53:50	ga_ls8c_ard_3-0-0_096076_2015-08-09_final
2015-08-25 09:51:34	ga_ls8c_ard_3-0-0_096070_2015-08-25_final
2015-08-25 09:51:58	ga_ls8c_ard_3-0-0_096071_2015-08-25_final
2015-08-25 09:52:22	ga_ls8c_ard_3-0-0_096072_2015-08-25_final
2015-08-25 09:52:46	ga_ls8c_ard_3-0-0_096073_2015-08-25_final
2015-08-25 09:53:10	ga_ls8c_ard_3-0-0_096074_2015-08-25_final
2015-08-25 09:53:34	ga_ls8c_ard_3-0-0_096075_2015-08-25_final
2015-08-25 09:53:58	ga_ls8c_ard_3-0-0_096076_2015-08-25_final
2015-11-24 09:38:35	ga_ls8c_ard_3-0-0_093083_2015-11-24_final
2015-11-24 09:38:59	ga_ls8c_ard_3-0-0_093084_2015-11-24_final
2015-11-24 09:39:23	ga_ls8c_ard_3-0-0_093085_2015-11-24_final
2015-11-24 09:39:47	ga_ls8c_ard_3-0-0_093086_2015-11-24_final
2015-11-24 09:40:11	ga_ls8c_ard_3-0-0_093087_2015-11-24_final
2015-11-24 09:40:35	ga_ls8c_ard_3-0-0_093088_2015-11-24_final
2015-11-26 09:29:01	ga_ls8c_ard_3-0-0_091090_2015-11-25_final
2015-11-26 09:29:25	ga_ls8c_ard_3-0-0_091091_2015-11-25_final
2019-03-10 09:28:30	ga_ls8c_ard_3-1-0_091090_2019-03-09_final
2019-03-10 09:28:54	ga_ls8c_ard_3-1-0_091091_2019-03-09_final
2019-03-13 09:51:47	ga_ls8c_ard_3-1-0_096071_2019-03-13_final
2019-03-13 09:52:11	ga_ls8c_ard_3-1-0_096072_2019-03-13_final
2019-03-13 09:52:35	ga_ls8c_ard_3-1-0_096073_2019-03-13_final
2019-03-13 09:52:59	ga_ls8c_ard_3-1-0_096074_2019-03-13_final
2019-03-13 09:53:23	ga_ls8c_ard_3-1-0_096075_2019-03-13_final
2019-03-13 09:53:47	ga_ls8c_ard_3-1-0_096076_2019-03-13_final
2019-04-09 09:37:56	ga_ls8c_ard_3-1-0_093083_2019-04-09_final
2019-04-09 09:38:20	ga_ls8c_ard_3-1-0_093084_2019-04-09_final
2019-04-09 09:38:44	ga_ls8c_ard_3-1-0_093085_2019-04-09_final
2019-04-09 09:39:08	ga_ls8c_ard_3-1-0_093086_2019-04-09_final
2019-04-09 09:39:32	ga_ls8c_ard_3-1-0_093087_2019-04-09_final
2019-04-09 09:39:56	ga_ls8c_ard_3-1-0_093088_2019-04-09_final
2019-04-11 09:28:21	ga_ls8c_ard_3-1-0_091090_2019-04-10_final
2019-04-11 09:28:45	ga_ls8c_ard_3-1-0_091091_2019-04-10_final
2019-09-25 09:34:11	ga_ls8c_ard_3-1-0_092087_2019-09-25_final
2019-09-25 09:34:35	ga_ls8c_ard_3-1-0_092088_2019-09-25_final
2019-09-25 09:34:59	ga_ls8c_ard_3-1-0_092089_2019-09-25_final
2019-09-25 09:35:23	ga_ls8c_ard_3-1-0_092090_2019-09-25_final
2019-11-10 09:43:23	ga_ls8c_ard_3-1-0_094079_2019-11-10_final
2019-11-10 09:43:47	ga_ls8c_ard_3-1-0_094080_2019-11-10_final
2019-11-10 09:44:11	ga_ls8c_ard_3-1-0_094081_2019-11-10_final
2019-11-10 09:44:35	ga_ls8c_ard_3-1-0_094082_2019-11-10_final
2019-11-10 09:44:59	ga_ls8c_ard_3-1-0_094083_2019-11-10_final
2019-11-10 09:45:23	ga_ls8c_ard_3-1-0_094084_2019-11-10_final
2019-11-10 09:45:47	ga_ls8c_ard_3-1-0_094085_2019-11-10_final
2019-11-12 09:34:13	ga_ls8c_ard_3-1-0_092087_2019-11-12_final
2019-11-12 09:34:36	ga_ls8c_ard_3-1-0_092088_2019-11-12_final
2019-11-12 09:35:00	ga_ls8c_ard_3-1-0_092089_2019-11-12_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