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
2014-07-30 11:28:49	ga_ls8c_ard_3-0-0_111081_2014-07-30_final
2014-07-30 11:29:13	ga_ls8c_ard_3-0-0_111082_2014-07-30_final
2014-07-30 11:29:37	ga_ls8c_ard_3-0-0_111083_2014-07-30_final
2014-07-30 11:30:01	ga_ls8c_ard_3-0-0_111084_2014-07-30_final
2014-08-13 11:37:42	ga_ls8c_ard_3-0-0_113072_2014-08-13_final
2014-08-13 11:38:06	ga_ls8c_ard_3-0-0_113073_2014-08-13_final
2014-08-13 11:38:30	ga_ls8c_ard_3-0-0_113074_2014-08-13_final
2014-08-13 11:38:54	ga_ls8c_ard_3-0-0_113075_2014-08-13_final
2014-08-13 11:39:18	ga_ls8c_ard_3-0-0_113076_2014-08-13_final
2014-08-13 11:39:42	ga_ls8c_ard_3-0-0_113077_2014-08-13_final
2014-08-13 11:40:06	ga_ls8c_ard_3-0-0_113078_2014-08-13_final
2014-08-15 11:28:56	ga_ls8c_ard_3-0-0_111081_2014-08-15_final
2014-08-15 11:29:20	ga_ls8c_ard_3-0-0_111082_2014-08-15_final
2014-08-15 11:29:44	ga_ls8c_ard_3-0-0_111083_2014-08-15_final
2014-08-15 11:30:08	ga_ls8c_ard_3-0-0_111084_2014-08-15_final
2014-09-07 11:33:36	ga_ls8c_ard_3-0-0_112077_2014-09-07_final
2014-09-07 11:34:00	ga_ls8c_ard_3-0-0_112078_2014-09-07_final
2014-09-07 11:34:24	ga_ls8c_ard_3-0-0_112079_2014-09-07_final
2014-09-07 11:34:48	ga_ls8c_ard_3-0-0_112080_2014-09-07_final
2014-09-07 11:35:12	ga_ls8c_ard_3-0-0_112081_2014-09-07_final
2014-09-07 11:35:36	ga_ls8c_ard_3-0-0_112082_2014-09-07_final
2014-09-09 11:24:02	ga_ls8c_ard_3-0-0_110084_2014-09-09_final
2014-09-16 11:29:01	ga_ls8c_ard_3-0-0_111081_2014-09-16_final
2014-09-16 11:29:25	ga_ls8c_ard_3-0-0_111082_2014-09-16_final
2014-09-16 11:29:49	ga_ls8c_ard_3-0-0_111083_2014-09-16_final
2014-09-16 11:30:13	ga_ls8c_ard_3-0-0_111084_2014-09-16_final
2014-10-02 11:29:03	ga_ls8c_ard_3-0-0_111081_2014-10-02_final
2014-10-02 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-10-02_final
2014-10-02 11:29:51	ga_ls8c_ard_3-0-0_111083_2014-10-02_final
2014-10-02 11:30:15	ga_ls8c_ard_3-0-0_111084_2014-10-02_final
2014-11-03 11:29:05	ga_ls8c_ard_3-0-0_111081_2014-11-03_final
2014-11-03 11:29:29	ga_ls8c_ard_3-0-0_111082_2014-11-03_final
2014-11-03 11:29:53	ga_ls8c_ard_3-0-0_111083_2014-11-03_final
2014-11-03 11:30:17	ga_ls8c_ard_3-0-0_111084_2014-11-03_final
2014-11-17 11:37:51	ga_ls8c_ard_3-0-0_113072_2014-11-17_final
2014-11-17 11:38:15	ga_ls8c_ard_3-0-0_113073_2014-11-17_final
2014-11-17 11:38:39	ga_ls8c_ard_3-0-0_113074_2014-11-17_final
2014-11-17 11:39:03	ga_ls8c_ard_3-0-0_113075_2014-11-17_final
2014-11-17 11:39:27	ga_ls8c_ard_3-0-0_113076_2014-11-17_final
2014-11-17 11:39:51	ga_ls8c_ard_3-0-0_113077_2014-11-17_final
2014-11-17 11:40:14	ga_ls8c_ard_3-0-0_113078_2014-11-17_final
2014-11-19 11:29:03	ga_ls8c_ard_3-0-0_111081_2014-11-19_final
2014-11-19 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-11-19_final
2014-11-19 11:29:51	ga_ls8c_ard_3-0-0_111083_2014-11-19_final
2014-11-19 11:30:15	ga_ls8c_ard_3-0-0_111084_2014-11-19_final
2016-05-05 11:41:27	ga_ls8c_ard_3-0-0_114067_2016-05-05_final
2016-05-21 11:41:26	ga_ls8c_ard_3-0-0_114067_2016-05-21_final
2016-05-30 11:37:18	ga_ls8c_ard_3-0-0_113072_2016-05-30_final
2016-05-30 11:37:42	ga_ls8c_ard_3-0-0_113073_2016-05-30_final
2016-05-30 11:38:06	ga_ls8c_ard_3-0-0_113074_2016-05-30_final
2016-05-30 11:38:30	ga_ls8c_ard_3-0-0_113075_2016-05-30_final
2016-05-30 11:38:54	ga_ls8c_ard_3-0-0_113076_2016-05-30_final
2016-05-30 11:39:18	ga_ls8c_ard_3-0-0_113077_2016-05-30_final
2016-05-30 11:39:42	ga_ls8c_ard_3-0-0_113078_2016-05-30_final
2016-06-06 11:41:31	ga_ls8c_ard_3-0-0_114067_2016-06-06_final
2016-06-26 11:23:42	ga_ls8c_ard_3-0-0_110084_2016-06-26_final
2016-06-26 11:24:06	ga_ls8c_ard_3-0-0_110085_2016-06-26_final
2016-07-08 11:41:44	ga_ls8c_ard_3-0-0_114067_2016-07-08_final
2016-07-10 11:33:23	ga_ls8c_ard_3-0-0_112077_2016-07-10_final
2016-07-10 11:33:47	ga_ls8c_ard_3-0-0_112078_2016-07-10_final
2016-07-10 11:34:11	ga_ls8c_ard_3-0-0_112079_2016-07-10_final
2016-07-10 11:34:35	ga_ls8c_ard_3-0-0_112080_2016-07-10_final
2016-07-10 11:34:59	ga_ls8c_ard_3-0-0_112081_2016-07-10_final
2016-07-10 11:35:23	ga_ls8c_ard_3-0-0_112082_2016-07-10_final
2016-07-12 11:23:50	ga_ls8c_ard_3-0-0_110084_2016-07-12_final
2016-07-12 11:24:14	ga_ls8c_ard_3-0-0_110085_2016-07-12_final
2016-07-24 11:41:50	ga_ls8c_ard_3-0-0_114067_2016-07-24_final
2019-07-03 11:33:22	ga_ls8c_ard_3-1-0_112077_2019-07-03_final
2019-07-03 11:33:46	ga_ls8c_ard_3-1-0_112078_2019-07-03_final
2019-07-03 11:34:10	ga_ls8c_ard_3-1-0_112079_2019-07-03_final
2019-07-03 11:34:34	ga_ls8c_ard_3-1-0_112080_2019-07-03_final
2019-07-03 11:34:58	ga_ls8c_ard_3-1-0_112081_2019-07-03_final
2019-07-03 11:35:22	ga_ls8c_ard_3-1-0_112082_2019-07-03_final
2019-07-17 11:41:47	ga_ls8c_ard_3-1-0_114067_2019-07-17_final
2019-07-17 11:44:11	ga_ls8c_ard_3-1-0_114073_2019-07-17_final
2019-07-26 11:37:39	ga_ls8c_ard_3-1-0_113072_2019-07-26_final
2019-07-26 11:38:03	ga_ls8c_ard_3-1-0_113073_2019-07-26_final
2019-07-26 11:38:27	ga_ls8c_ard_3-1-0_113074_2019-07-26_final
2019-07-26 11:38:51	ga_ls8c_ard_3-1-0_113075_2019-07-26_final
2019-07-26 11:39:15	ga_ls8c_ard_3-1-0_113076_2019-07-26_final
2019-07-26 11:39:39	ga_ls8c_ard_3-1-0_113077_2019-07-26_final
2019-07-26 11:40:03	ga_ls8c_ard_3-1-0_113078_2019-07-26_final
2019-08-20 11:33:37	ga_ls8c_ard_3-1-0_112077_2019-08-20_final
2019-08-20 11:34:01	ga_ls8c_ard_3-1-0_112078_2019-08-20_final
2019-09-12 11:37:54	ga_ls8c_ard_3-1-0_113072_2019-09-12_final
2019-09-12 11:38:18	ga_ls8c_ard_3-1-0_113073_2019-09-12_final
2019-09-12 11:38:42	ga_ls8c_ard_3-1-0_113074_2019-09-12_final
2019-09-12 11:39:06	ga_ls8c_ard_3-1-0_113075_2019-09-12_final
2019-09-12 11:39:30	ga_ls8c_ard_3-1-0_113076_2019-09-12_final
2019-09-12 11:39:54	ga_ls8c_ard_3-1-0_113077_2019-09-12_final
2019-09-12 11:40:18	ga_ls8c_ard_3-1-0_113078_2019-09-12_final
2019-10-05 11:42:12	ga_ls8c_ard_3-1-0_114067_2019-10-05_final
2019-10-05 11:44:36	ga_ls8c_ard_3-1-0_114073_2019-10-05_final
2019-10-07 11:33:50	ga_ls8c_ard_3-1-0_112077_2019-10-07_final
2019-10-07 11:34:14	ga_ls8c_ard_3-1-0_112078_2019-10-07_final
2019-10-07 11:34:38	ga_ls8c_ard_3-1-0_112079_2019-10-07_final
2019-10-07 11:35:02	ga_ls8c_ard_3-1-0_112080_2019-10-07_final
2019-10-07 11:35:26	ga_ls8c_ard_3-1-0_112081_2019-10-07_final
2019-10-07 11:35:50	ga_ls8c_ard_3-1-0_112082_2019-10-07_final
2019-10-21 11:42:14	ga_ls8c_ard_3-1-0_114067_2019-10-21_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years