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
2013-04-08 09:45:40	ga_ls8c_ard_3-0-0_094075_2013-04-08_final
2013-04-08 09:46:04	ga_ls8c_ard_3-0-0_094076_2013-04-08_final
2013-04-08 09:46:28	ga_ls8c_ard_3-0-0_094077_2013-04-08_final
2013-04-08 09:46:52	ga_ls8c_ard_3-0-0_094078_2013-04-08_final
2013-04-08 09:47:16	ga_ls8c_ard_3-0-0_094079_2013-04-08_final
2013-04-08 09:47:39	ga_ls8c_ard_3-0-0_094080_2013-04-08_final
2013-04-08 09:48:03	ga_ls8c_ard_3-0-0_094081_2013-04-08_final
2013-04-13 09:53:35	ga_ls8c_ard_3-0-0_096070_2013-04-13_final
2013-04-13 09:53:59	ga_ls8c_ard_3-0-0_096071_2013-04-13_final
2013-04-13 09:54:23	ga_ls8c_ard_3-0-0_096072_2013-04-13_final
2013-04-13 09:54:47	ga_ls8c_ard_3-0-0_096073_2013-04-13_final
2013-04-29 09:54:45	ga_ls8c_ard_3-0-0_096073_2013-04-29_final
2013-05-01 09:44:00	ga_ls8c_ard_3-0-0_094077_2013-05-01_final
2013-05-01 09:44:24	ga_ls8c_ard_3-0-0_094078_2013-05-01_final
2013-05-01 09:44:48	ga_ls8c_ard_3-0-0_094079_2013-05-01_final
2013-05-01 09:45:12	ga_ls8c_ard_3-0-0_094080_2013-05-01_final
2013-05-01 09:45:36	ga_ls8c_ard_3-0-0_094081_2013-05-01_final
2013-05-01 09:46:00	ga_ls8c_ard_3-0-0_094082_2013-05-01_final
2013-06-09 09:48:25	ga_ls8c_ard_3-0-0_095072_2013-06-09_final
2013-06-09 09:48:49	ga_ls8c_ard_3-0-0_095073_2013-06-09_final
2013-06-09 09:49:13	ga_ls8c_ard_3-0-0_095074_2013-06-09_final
2013-06-09 09:49:37	ga_ls8c_ard_3-0-0_095075_2013-06-09_final
2013-06-09 09:50:01	ga_ls8c_ard_3-0-0_095076_2013-06-09_final
2013-06-09 09:50:25	ga_ls8c_ard_3-0-0_095077_2013-06-09_final
2013-06-09 09:50:49	ga_ls8c_ard_3-0-0_095078_2013-06-09_final
2013-06-11 09:39:38	ga_ls8c_ard_3-0-0_093081_2013-06-11_final
2013-06-11 09:40:02	ga_ls8c_ard_3-0-0_093082_2013-06-11_final
2013-06-11 09:40:26	ga_ls8c_ard_3-0-0_093083_2013-06-11_final
2013-06-11 09:40:50	ga_ls8c_ard_3-0-0_093084_2013-06-11_final
2013-06-11 09:41:14	ga_ls8c_ard_3-0-0_093085_2013-06-11_final
2013-06-11 09:41:38	ga_ls8c_ard_3-0-0_093086_2013-06-11_final
2013-07-18 09:53:45	ga_ls8c_ard_3-0-0_096070_2013-07-18_final
2013-07-18 09:54:09	ga_ls8c_ard_3-0-0_096071_2013-07-18_final
2013-07-18 09:54:33	ga_ls8c_ard_3-0-0_096072_2013-07-18_final
2013-07-18 09:54:57	ga_ls8c_ard_3-0-0_096073_2013-07-18_final
2013-07-20 09:44:11	ga_ls8c_ard_3-0-0_094077_2013-07-20_final
2013-07-20 09:44:35	ga_ls8c_ard_3-0-0_094078_2013-07-20_final
2013-07-20 09:44:58	ga_ls8c_ard_3-0-0_094079_2013-07-20_final
2013-07-20 09:45:22	ga_ls8c_ard_3-0-0_094080_2013-07-20_final
2013-07-20 09:45:46	ga_ls8c_ard_3-0-0_094081_2013-07-20_final
2013-07-20 09:46:10	ga_ls8c_ard_3-0-0_094082_2013-07-20_final
2013-09-27 09:59:26	ga_ls8c_ard_3-0-0_097069_2013-09-27_final
2013-09-29 09:48:40	ga_ls8c_ard_3-0-0_095073_2013-09-29_final
2013-09-29 09:49:04	ga_ls8c_ard_3-0-0_095074_2013-09-29_final
2013-09-29 09:49:28	ga_ls8c_ard_3-0-0_095075_2013-09-29_final
2013-09-29 09:49:52	ga_ls8c_ard_3-0-0_095076_2013-09-29_final
2013-09-29 09:50:16	ga_ls8c_ard_3-0-0_095077_2013-09-29_final
2013-09-29 09:50:40	ga_ls8c_ard_3-0-0_095078_2013-09-29_final
2013-10-01 09:40:19	ga_ls8c_ard_3-0-0_093083_2013-10-01_final
2013-10-01 09:40:43	ga_ls8c_ard_3-0-0_093084_2013-10-01_final
2013-10-01 09:41:07	ga_ls8c_ard_3-0-0_093085_2013-10-01_final
2013-10-01 09:41:30	ga_ls8c_ard_3-0-0_093086_2013-10-01_final
2013-10-03 09:29:57	ga_ls8c_ard_3-0-0_091088_2013-10-02_final
2013-10-03 09:30:21	ga_ls8c_ard_3-0-0_091089_2013-10-03_final
2013-10-03 09:30:45	ga_ls8c_ard_3-0-0_091090_2013-10-03_final
2014-10-11 09:42:25	ga_ls8c_ard_3-0-0_094077_2014-10-11_final
2014-10-11 09:42:49	ga_ls8c_ard_3-0-0_094078_2014-10-11_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
2014-12-14 09:42:19	ga_ls8c_ard_3-0-0_094077_2014-12-14_final
2014-12-14 09:42:43	ga_ls8c_ard_3-0-0_094078_2014-12-14_final
2014-12-14 09:43:07	ga_ls8c_ard_3-0-0_094079_2014-12-14_final
2014-12-14 09:43:30	ga_ls8c_ard_3-0-0_094080_2014-12-14_final
2014-12-14 09:43:54	ga_ls8c_ard_3-0-0_094081_2014-12-14_final
2014-12-14 09:44:18	ga_ls8c_ard_3-0-0_094082_2014-12-14_final
2014-12-16 09:33:10	ga_ls8c_ard_3-0-0_092085_2014-12-16_final
2014-12-16 09:33:34	ga_ls8c_ard_3-0-0_092086_2014-12-16_final
2014-12-16 09:33:58	ga_ls8c_ard_3-0-0_092087_2014-12-16_final
2014-12-16 09:34:22	ga_ls8c_ard_3-0-0_092088_2014-12-16_final
2014-12-16 09:34:45	ga_ls8c_ard_3-0-0_092089_2014-12-16_final
2021-01-06 09:47:03	ga_ls8c_ard_3-2-0_095073_2021-01-06_final
2021-01-06 09:47:27	ga_ls8c_ard_3-2-0_095074_2021-01-06_final
2021-01-06 09:47:51	ga_ls8c_ard_3-2-0_095075_2021-01-06_final
2021-01-06 09:48:15	ga_ls8c_ard_3-2-0_095076_2021-01-06_final
2021-01-06 09:48:39	ga_ls8c_ard_3-2-0_095077_2021-01-06_final
2021-01-06 09:49:03	ga_ls8c_ard_3-2-0_095078_2021-01-06_final
2021-02-02 09:33:11	ga_ls8c_ard_3-2-0_092085_2021-02-02_final
2021-02-02 09:33:35	ga_ls8c_ard_3-2-0_092086_2021-02-02_final
2021-02-02 09:33:59	ga_ls8c_ard_3-2-0_092087_2021-02-02_final
2021-02-02 09:34:22	ga_ls8c_ard_3-2-0_092088_2021-02-02_final
2021-02-02 09:34:46	ga_ls8c_ard_3-2-0_092089_2021-02-02_final
2021-02-02 09:35:10	ga_ls8c_ard_3-2-0_092090_2021-02-02_final
2021-03-31 09:27:51	ga_ls8c_ard_3-2-0_091088_2021-03-30_final
2021-03-31 09:28:15	ga_ls8c_ard_3-2-0_091089_2021-03-30_final
2021-03-31 09:28:39	ga_ls8c_ard_3-2-0_091090_2021-03-30_final
2021-03-31 09:29:03	ga_ls8c_ard_3-2-0_091091_2021-03-30_final
2021-04-10 09:56:30	ga_ls8c_ard_3-2-0_097067_2021-04-10_final
2021-04-10 09:56:54	ga_ls8c_ard_3-2-0_097068_2021-04-10_final
2021-04-10 09:57:18	ga_ls8c_ard_3-2-0_097069_2021-04-10_final
2021-08-15 09:23:14	ga_ls8c_ard_3-2-0_090091_2021-08-14_final
2021-08-16 09:56:55	ga_ls8c_ard_3-2-0_097067_2021-08-16_final
2021-08-16 09:57:19	ga_ls8c_ard_3-2-0_097068_2021-08-16_final
2021-08-16 09:57:43	ga_ls8c_ard_3-2-0_097069_2021-08-16_final
2021-08-20 09:37:48	ga_ls8c_ard_3-2-0_093081_2021-08-20_final
2021-08-20 09:38:12	ga_ls8c_ard_3-2-0_093082_2021-08-20_final
2021-08-20 09:38:36	ga_ls8c_ard_3-2-0_093083_2021-08-20_final
2021-08-20 09:39:00	ga_ls8c_ard_3-2-0_093084_2021-08-20_final
2021-08-20 09:39:24	ga_ls8c_ard_3-2-0_093085_2021-08-20_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