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
2015-01-11 11:44:40	ga_ls8c_ard_3-0-0_114074_2015-01-11_final
2015-01-11 11:45:04	ga_ls8c_ard_3-0-0_114075_2015-01-11_final
2015-01-11 11:45:28	ga_ls8c_ard_3-0-0_114076_2015-01-11_final
2015-01-11 11:45:52	ga_ls8c_ard_3-0-0_114077_2015-01-11_final
2015-01-11 11:46:16	ga_ls8c_ard_3-0-0_114078_2015-01-11_final
2015-01-11 11:46:40	ga_ls8c_ard_3-0-0_114079_2015-01-11_final
2015-01-13 11:35:30	ga_ls8c_ard_3-0-0_112082_2015-01-13_final
2015-01-13 11:35:54	ga_ls8c_ard_3-0-0_112083_2015-01-13_final
2015-01-13 11:36:18	ga_ls8c_ard_3-0-0_112084_2015-01-13_final
2015-01-27 11:44:35	ga_ls8c_ard_3-0-0_114074_2015-01-27_final
2015-01-27 11:44:59	ga_ls8c_ard_3-0-0_114075_2015-01-27_final
2015-01-27 11:45:23	ga_ls8c_ard_3-0-0_114076_2015-01-27_final
2015-01-27 11:45:47	ga_ls8c_ard_3-0-0_114077_2015-01-27_final
2015-01-27 11:46:10	ga_ls8c_ard_3-0-0_114078_2015-01-27_final
2015-01-27 11:46:34	ga_ls8c_ard_3-0-0_114079_2015-01-27_final
2015-01-29 11:35:25	ga_ls8c_ard_3-0-0_112082_2015-01-29_final
2015-01-29 11:35:49	ga_ls8c_ard_3-0-0_112083_2015-01-29_final
2015-01-29 11:36:13	ga_ls8c_ard_3-0-0_112084_2015-01-29_final
2015-03-18 11:35:03	ga_ls8c_ard_3-0-0_112082_2015-03-18_final
2015-04-01 11:44:02	ga_ls8c_ard_3-0-0_114074_2015-04-01_final
2015-04-01 11:44:26	ga_ls8c_ard_3-0-0_114075_2015-04-01_final
2015-04-01 11:44:50	ga_ls8c_ard_3-0-0_114076_2015-04-01_final
2015-04-01 11:45:14	ga_ls8c_ard_3-0-0_114077_2015-04-01_final
2015-04-01 11:45:38	ga_ls8c_ard_3-0-0_114078_2015-04-01_final
2015-04-01 11:46:02	ga_ls8c_ard_3-0-0_114079_2015-04-01_final
2015-04-03 11:34:50	ga_ls8c_ard_3-0-0_112082_2015-04-03_final
2015-04-03 11:35:14	ga_ls8c_ard_3-0-0_112083_2015-04-03_final
2015-04-03 11:35:38	ga_ls8c_ard_3-0-0_112084_2015-04-03_final
2015-04-03 11:36:02	ga_ls8c_ard_3-0-0_112085_2015-04-03_final
2015-06-20 11:43:56	ga_ls8c_ard_3-0-0_114074_2015-06-20_final
2015-06-20 11:44:20	ga_ls8c_ard_3-0-0_114075_2015-06-20_final
2015-06-20 11:44:44	ga_ls8c_ard_3-0-0_114076_2015-06-20_final
2015-06-20 11:45:08	ga_ls8c_ard_3-0-0_114077_2015-06-20_final
2015-06-20 11:45:32	ga_ls8c_ard_3-0-0_114078_2015-06-20_final
2015-06-20 11:45:56	ga_ls8c_ard_3-0-0_114079_2015-06-20_final
2015-06-22 11:34:47	ga_ls8c_ard_3-0-0_112082_2015-06-22_final
2015-06-22 11:35:10	ga_ls8c_ard_3-0-0_112083_2015-06-22_final
2015-06-22 11:35:34	ga_ls8c_ard_3-0-0_112084_2015-06-22_final
2015-06-22 11:35:58	ga_ls8c_ard_3-0-0_112085_2015-06-22_final
2016-07-31 11:50:25	ga_ls8c_ard_3-0-0_115073_2016-07-31_final
2016-07-31 11:50:49	ga_ls8c_ard_3-0-0_115074_2016-07-31_final
2016-09-19 11:39:53	ga_ls8c_ard_3-0-0_113077_2016-09-19_final
2016-09-19 11:40:17	ga_ls8c_ard_3-0-0_113078_2016-09-19_final
2016-09-19 11:40:41	ga_ls8c_ard_3-0-0_113079_2016-09-19_final
2016-09-19 11:41:05	ga_ls8c_ard_3-0-0_113080_2016-09-19_final
2016-09-19 11:41:28	ga_ls8c_ard_3-0-0_113081_2016-09-19_final
2016-09-19 11:41:52	ga_ls8c_ard_3-0-0_113082_2016-09-19_final
2016-09-19 11:42:16	ga_ls8c_ard_3-0-0_113083_2016-09-19_final
2016-09-21 11:30:43	ga_ls8c_ard_3-0-0_111085_2016-09-21_final
2016-10-03 11:50:40	ga_ls8c_ard_3-0-0_115073_2016-10-03_final
2016-10-03 11:51:04	ga_ls8c_ard_3-0-0_115074_2016-10-03_final
2016-10-05 11:39:55	ga_ls8c_ard_3-0-0_113077_2016-10-05_final
2016-10-05 11:40:19	ga_ls8c_ard_3-0-0_113078_2016-10-05_final
2016-10-05 11:40:43	ga_ls8c_ard_3-0-0_113079_2016-10-05_final
2016-10-05 11:41:07	ga_ls8c_ard_3-0-0_113080_2016-10-05_final
2016-10-05 11:41:31	ga_ls8c_ard_3-0-0_113081_2016-10-05_final
2016-10-05 11:41:55	ga_ls8c_ard_3-0-0_113082_2016-10-05_final
2016-10-05 11:42:18	ga_ls8c_ard_3-0-0_113083_2016-10-05_final
2016-10-14 11:35:47	ga_ls8c_ard_3-0-0_112082_2016-10-14_final
2016-10-14 11:36:11	ga_ls8c_ard_3-0-0_112083_2016-10-14_final
2016-10-14 11:36:35	ga_ls8c_ard_3-0-0_112084_2016-10-14_final
2016-10-14 11:36:59	ga_ls8c_ard_3-0-0_112085_2016-10-14_final
2016-12-31 11:44:51	ga_ls8c_ard_3-0-0_114074_2016-12-31_final
2016-12-31 11:45:15	ga_ls8c_ard_3-0-0_114075_2016-12-31_final
2016-12-31 11:45:39	ga_ls8c_ard_3-0-0_114076_2016-12-31_final
2016-12-31 11:46:03	ga_ls8c_ard_3-0-0_114077_2016-12-31_final
2016-12-31 11:46:27	ga_ls8c_ard_3-0-0_114078_2016-12-31_final
2016-12-31 11:46:51	ga_ls8c_ard_3-0-0_114079_2016-12-31_final
2017-01-02 11:35:40	ga_ls8c_ard_3-0-0_112082_2017-01-02_final
2017-01-02 11:36:04	ga_ls8c_ard_3-0-0_112083_2017-01-02_final
2017-01-02 11:36:28	ga_ls8c_ard_3-0-0_112084_2017-01-02_final
2017-01-02 11:36:52	ga_ls8c_ard_3-0-0_112085_2017-01-02_final
2017-03-12 11:50:10	ga_ls8c_ard_3-0-0_115073_2017-03-12_final
2017-03-12 11:50:34	ga_ls8c_ard_3-0-0_115074_2017-03-12_final
2017-03-14 11:39:47	ga_ls8c_ard_3-0-0_113078_2017-03-14_final
2017-03-14 11:40:11	ga_ls8c_ard_3-0-0_113079_2017-03-14_final
2017-03-14 11:40:34	ga_ls8c_ard_3-0-0_113080_2017-03-14_final
2017-03-14 11:40:58	ga_ls8c_ard_3-0-0_113081_2017-03-14_final
2017-03-14 11:41:22	ga_ls8c_ard_3-0-0_113082_2017-03-14_final
2017-03-14 11:41:46	ga_ls8c_ard_3-0-0_113083_2017-03-14_final
2017-03-16 11:30:11	ga_ls8c_ard_3-0-0_111085_2017-03-16_final
2018-04-04 11:29:54	ga_ls8c_ard_3-0-0_111085_2018-04-04_final
2018-04-25 11:43:51	ga_ls8c_ard_3-0-0_114074_2018-04-25_final
2018-04-25 11:44:15	ga_ls8c_ard_3-0-0_114075_2018-04-25_final
2018-04-25 11:44:39	ga_ls8c_ard_3-0-0_114076_2018-04-25_final
2018-04-25 11:45:03	ga_ls8c_ard_3-0-0_114077_2018-04-25_final
2018-04-25 11:45:27	ga_ls8c_ard_3-0-0_114078_2018-04-25_final
2018-04-25 11:45:51	ga_ls8c_ard_3-0-0_114079_2018-04-25_final
2018-04-27 11:34:40	ga_ls8c_ard_3-0-0_112082_2018-04-27_final
2018-04-27 11:35:04	ga_ls8c_ard_3-0-0_112083_2018-04-27_final
2018-04-27 11:35:28	ga_ls8c_ard_3-0-0_112084_2018-04-27_final
2018-04-27 11:35:52	ga_ls8c_ard_3-0-0_112085_2018-04-27_final
2018-05-02 11:49:34	ga_ls8c_ard_3-0-0_115073_2018-05-02_final
2018-05-02 11:49:58	ga_ls8c_ard_3-0-0_115074_2018-05-02_final
2018-05-04 11:39:11	ga_ls8c_ard_3-0-0_113078_2018-05-04_final
2018-05-04 11:39:35	ga_ls8c_ard_3-0-0_113079_2018-05-04_final
2018-05-04 11:39:59	ga_ls8c_ard_3-0-0_113080_2018-05-04_final
2018-05-04 11:40:23	ga_ls8c_ard_3-0-0_113081_2018-05-04_final
2018-05-04 11:40:47	ga_ls8c_ard_3-0-0_113082_2018-05-04_final
2018-05-04 11:41:10	ga_ls8c_ard_3-0-0_113083_2018-05-04_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