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
2015-10-19 11:39:41	ga_ls8c_ard_3-0-0_113077_2015-10-19_final
2017-10-15 11:44:55	ga_ls8c_ard_3-0-0_114074_2017-10-15_final
2017-10-15 11:45:19	ga_ls8c_ard_3-0-0_114075_2017-10-15_final
2017-10-15 11:45:43	ga_ls8c_ard_3-0-0_114076_2017-10-15_final
2017-10-15 11:46:07	ga_ls8c_ard_3-0-0_114077_2017-10-15_final
2017-10-15 11:46:31	ga_ls8c_ard_3-0-0_114078_2017-10-15_final
2017-10-17 11:35:21	ga_ls8c_ard_3-0-0_112081_2017-10-17_final
2017-10-17 11:35:45	ga_ls8c_ard_3-0-0_112082_2017-10-17_final
2017-10-17 11:36:09	ga_ls8c_ard_3-0-0_112083_2017-10-17_final
2017-10-17 11:36:33	ga_ls8c_ard_3-0-0_112084_2017-10-17_final
2017-10-17 11:36:57	ga_ls8c_ard_3-0-0_112085_2017-10-17_final
2018-03-24 11:44:08	ga_ls8c_ard_3-0-0_114074_2018-03-24_final
2018-03-24 11:44:32	ga_ls8c_ard_3-0-0_114075_2018-03-24_final
2018-03-24 11:44:56	ga_ls8c_ard_3-0-0_114076_2018-03-24_final
2018-03-24 11:45:20	ga_ls8c_ard_3-0-0_114077_2018-03-24_final
2018-03-24 11:45:44	ga_ls8c_ard_3-0-0_114078_2018-03-24_final
2018-03-24 11:46:08	ga_ls8c_ard_3-0-0_114079_2018-03-24_final
2018-03-26 11:34:57	ga_ls8c_ard_3-0-0_112082_2018-03-26_final
2018-03-26 11:35:21	ga_ls8c_ard_3-0-0_112083_2018-03-26_final
2018-03-26 11:35:45	ga_ls8c_ard_3-0-0_112084_2018-03-26_final
2018-03-26 11:36:09	ga_ls8c_ard_3-0-0_112085_2018-03-26_final
2018-05-11 11:43:41	ga_ls8c_ard_3-0-0_114074_2018-05-11_final
2018-05-11 11:44:05	ga_ls8c_ard_3-0-0_114075_2018-05-11_final
2018-05-11 11:44:29	ga_ls8c_ard_3-0-0_114076_2018-05-11_final
2018-05-11 11:44:53	ga_ls8c_ard_3-0-0_114077_2018-05-11_final
2018-05-11 11:45:17	ga_ls8c_ard_3-0-0_114078_2018-05-11_final
2018-05-11 11:45:41	ga_ls8c_ard_3-0-0_114079_2018-05-11_final
2018-05-13 11:34:06	ga_ls8c_ard_3-0-0_112081_2018-05-13_final
2018-05-13 11:34:30	ga_ls8c_ard_3-0-0_112082_2018-05-13_final
2018-05-13 11:34:54	ga_ls8c_ard_3-0-0_112083_2018-05-13_final
2018-05-13 11:35:18	ga_ls8c_ard_3-0-0_112084_2018-05-13_final
2018-05-13 11:35:42	ga_ls8c_ard_3-0-0_112085_2018-05-13_final
2019-02-07 11:44:23	ga_ls8c_ard_3-0-0_114074_2019-02-07_final
2019-02-07 11:44:47	ga_ls8c_ard_3-0-0_114075_2019-02-07_final
2019-02-07 11:45:11	ga_ls8c_ard_3-0-0_114076_2019-02-07_final
2019-02-07 11:45:35	ga_ls8c_ard_3-0-0_114077_2019-02-07_final
2019-02-07 11:45:59	ga_ls8c_ard_3-0-0_114078_2019-02-07_final
2019-02-07 11:46:23	ga_ls8c_ard_3-0-0_114079_2019-02-07_final
2019-02-09 11:35:13	ga_ls8c_ard_3-0-0_112082_2019-02-09_final
2019-02-09 11:35:37	ga_ls8c_ard_3-0-0_112083_2019-02-09_final
2019-02-09 11:36:01	ga_ls8c_ard_3-0-0_112084_2019-02-09_final
2019-02-09 11:36:25	ga_ls8c_ard_3-0-0_112085_2019-02-09_final
2019-02-18 11:30:12	ga_ls8c_ard_3-0-0_111085_2019-02-18_final
2019-03-04 11:39:19	ga_ls8c_ard_3-0-0_113077_2019-03-04_final
2019-03-04 11:39:42	ga_ls8c_ard_3-0-0_113078_2019-03-04_final
2019-03-04 11:40:06	ga_ls8c_ard_3-0-0_113079_2019-03-04_final
2019-03-04 11:40:30	ga_ls8c_ard_3-0-0_113080_2019-03-04_final
2019-03-04 11:40:54	ga_ls8c_ard_3-0-0_113081_2019-03-04_final
2019-03-04 11:41:18	ga_ls8c_ard_3-0-0_113082_2019-03-04_final
2019-03-04 11:41:42	ga_ls8c_ard_3-0-0_113083_2019-03-04_final
2019-03-06 11:30:08	ga_ls8c_ard_3-0-0_111085_2019-03-06_final
2019-12-15 11:50:42	ga_ls8c_ard_3-2-0_115073_2019-12-15_final
2019-12-15 11:51:06	ga_ls8c_ard_3-2-0_115074_2019-12-15_final
2019-12-17 11:39:56	ga_ls8c_ard_3-2-0_113077_2019-12-17_final
2019-12-17 11:40:20	ga_ls8c_ard_3-2-0_113078_2019-12-17_final
2019-12-17 11:40:44	ga_ls8c_ard_3-2-0_113079_2019-12-17_final
2019-12-17 11:41:08	ga_ls8c_ard_3-2-0_113080_2019-12-17_final
2019-12-17 11:41:32	ga_ls8c_ard_3-2-0_113081_2019-12-17_final
2019-12-17 11:41:56	ga_ls8c_ard_3-2-0_113082_2019-12-17_final
2019-12-17 11:42:20	ga_ls8c_ard_3-2-0_113083_2019-12-17_final
2019-12-31 11:50:38	ga_ls8c_ard_3-1-0_115073_2019-12-31_final
2019-12-31 11:51:02	ga_ls8c_ard_3-1-0_115074_2019-12-31_final
2020-01-02 11:39:51	ga_ls8c_ard_3-1-0_113077_2020-01-02_final
2020-01-02 11:40:15	ga_ls8c_ard_3-1-0_113078_2020-01-02_final
2020-01-02 11:40:39	ga_ls8c_ard_3-1-0_113079_2020-01-02_final
2020-01-02 11:41:03	ga_ls8c_ard_3-1-0_113080_2020-01-02_final
2020-01-02 11:41:27	ga_ls8c_ard_3-1-0_113081_2020-01-02_final
2020-01-02 11:41:51	ga_ls8c_ard_3-1-0_113082_2020-01-02_final
2020-01-02 11:42:15	ga_ls8c_ard_3-1-0_113083_2020-01-02_final
2020-01-04 11:30:41	ga_ls8c_ard_3-1-0_111085_2020-01-04_final
2020-01-16 11:50:35	ga_ls8c_ard_3-1-0_115073_2020-01-16_final
2020-01-16 11:50:59	ga_ls8c_ard_3-1-0_115074_2020-01-16_final
2020-02-01 11:50:30	ga_ls8c_ard_3-1-0_115073_2020-02-01_final
2020-02-01 11:50:54	ga_ls8c_ard_3-1-0_115074_2020-02-01_final
2020-02-03 11:39:43	ga_ls8c_ard_3-1-0_113077_2020-02-03_final
2020-02-03 11:40:07	ga_ls8c_ard_3-1-0_113078_2020-02-03_final
2020-02-03 11:40:31	ga_ls8c_ard_3-1-0_113079_2020-02-03_final
2020-02-03 11:40:55	ga_ls8c_ard_3-1-0_113080_2020-02-03_final
2020-02-03 11:41:19	ga_ls8c_ard_3-1-0_113081_2020-02-03_final
2020-02-03 11:41:43	ga_ls8c_ard_3-1-0_113082_2020-02-03_final
2020-02-03 11:42:07	ga_ls8c_ard_3-1-0_113083_2020-02-03_final
2020-02-05 11:30:32	ga_ls8c_ard_3-1-0_111085_2020-02-05_final
2020-02-17 11:50:26	ga_ls8c_ard_3-1-0_115073_2020-02-17_final
2020-02-17 11:50:50	ga_ls8c_ard_3-1-0_115074_2020-02-17_final
2020-03-20 11:50:13	ga_ls8c_ard_3-1-0_115073_2020-03-20_final
2020-03-20 11:50:37	ga_ls8c_ard_3-1-0_115074_2020-03-20_final
2020-04-16 11:34:39	ga_ls8c_ard_3-1-0_112081_2020-04-16_final
2020-04-16 11:35:03	ga_ls8c_ard_3-1-0_112082_2020-04-16_final
2020-04-16 11:35:27	ga_ls8c_ard_3-1-0_112083_2020-04-16_final
2020-04-16 11:35:51	ga_ls8c_ard_3-1-0_112084_2020-04-16_final
2020-04-16 11:36:15	ga_ls8c_ard_3-1-0_112085_2020-04-16_final
2020-04-21 11:49:58	ga_ls8c_ard_3-1-0_115073_2020-04-21_final
2020-04-21 11:50:22	ga_ls8c_ard_3-1-0_115074_2020-04-21_final
2020-04-23 11:39:11	ga_ls8c_ard_3-1-0_113077_2020-04-23_final
2020-04-23 11:39:35	ga_ls8c_ard_3-1-0_113078_2020-04-23_final
2020-04-23 11:39:59	ga_ls8c_ard_3-1-0_113079_2020-04-23_final
2020-04-23 11:40:23	ga_ls8c_ard_3-1-0_113080_2020-04-23_final
2020-04-23 11:40:47	ga_ls8c_ard_3-1-0_113081_2020-04-23_final
2020-04-23 11:41:11	ga_ls8c_ard_3-1-0_113082_2020-04-23_final
2020-04-23 11:41:35	ga_ls8c_ard_3-1-0_113083_2020-04-23_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