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
2015-01-04 11:37:41	ga_ls8c_ard_3-0-0_113072_2015-01-04_final
2015-01-04 11:38:05	ga_ls8c_ard_3-0-0_113073_2015-01-04_final
2015-01-04 11:38:29	ga_ls8c_ard_3-0-0_113074_2015-01-04_final
2015-01-04 11:38:53	ga_ls8c_ard_3-0-0_113075_2015-01-04_final
2015-01-04 11:39:17	ga_ls8c_ard_3-0-0_113076_2015-01-04_final
2015-01-04 11:39:41	ga_ls8c_ard_3-0-0_113077_2015-01-04_final
2015-01-04 11:40:05	ga_ls8c_ard_3-0-0_113078_2015-01-04_final
2015-01-06 11:28:56	ga_ls8c_ard_3-0-0_111081_2015-01-06_final
2015-01-06 11:29:20	ga_ls8c_ard_3-0-0_111082_2015-01-06_final
2015-01-06 11:29:44	ga_ls8c_ard_3-0-0_111083_2015-01-06_final
2015-01-06 11:30:07	ga_ls8c_ard_3-0-0_111084_2015-01-06_final
2015-03-09 11:37:19	ga_ls8c_ard_3-0-0_113072_2015-03-09_final
2015-03-09 11:37:43	ga_ls8c_ard_3-0-0_113073_2015-03-09_final
2015-03-09 11:38:07	ga_ls8c_ard_3-0-0_113074_2015-03-09_final
2015-03-09 11:38:31	ga_ls8c_ard_3-0-0_113075_2015-03-09_final
2015-03-09 11:38:55	ga_ls8c_ard_3-0-0_113076_2015-03-09_final
2015-03-09 11:39:19	ga_ls8c_ard_3-0-0_113077_2015-03-09_final
2015-03-09 11:39:43	ga_ls8c_ard_3-0-0_113078_2015-03-09_final
2015-03-11 11:28:31	ga_ls8c_ard_3-0-0_111081_2015-03-11_final
2015-03-11 11:28:55	ga_ls8c_ard_3-0-0_111082_2015-03-11_final
2015-03-11 11:29:19	ga_ls8c_ard_3-0-0_111083_2015-03-11_final
2015-03-11 11:29:43	ga_ls8c_ard_3-0-0_111084_2015-03-11_final
2015-03-11 11:30:06	ga_ls8c_ard_3-0-0_111085_2015-03-11_final
2015-03-25 11:37:10	ga_ls8c_ard_3-0-0_113072_2015-03-25_final
2015-03-25 11:37:34	ga_ls8c_ard_3-0-0_113073_2015-03-25_final
2015-03-25 11:37:58	ga_ls8c_ard_3-0-0_113074_2015-03-25_final
2015-03-25 11:38:22	ga_ls8c_ard_3-0-0_113075_2015-03-25_final
2015-03-25 11:38:46	ga_ls8c_ard_3-0-0_113076_2015-03-25_final
2015-03-25 11:39:10	ga_ls8c_ard_3-0-0_113077_2015-03-25_final
2015-03-25 11:39:34	ga_ls8c_ard_3-0-0_113078_2015-03-25_final
2015-03-27 11:28:23	ga_ls8c_ard_3-0-0_111081_2015-03-27_final
2015-03-27 11:28:46	ga_ls8c_ard_3-0-0_111082_2015-03-27_final
2015-03-27 11:29:10	ga_ls8c_ard_3-0-0_111083_2015-03-27_final
2015-03-27 11:29:34	ga_ls8c_ard_3-0-0_111084_2015-03-27_final
2015-03-27 11:29:58	ga_ls8c_ard_3-0-0_111085_2015-03-27_final
2015-04-17 11:41:13	ga_ls8c_ard_3-0-0_114067_2015-04-17_final
2015-04-19 11:32:50	ga_ls8c_ard_3-0-0_112077_2015-04-19_final
2015-04-19 11:33:14	ga_ls8c_ard_3-0-0_112078_2015-04-19_final
2015-04-19 11:33:38	ga_ls8c_ard_3-0-0_112079_2015-04-19_final
2015-04-19 11:34:02	ga_ls8c_ard_3-0-0_112080_2015-04-19_final
2015-04-19 11:34:26	ga_ls8c_ard_3-0-0_112081_2015-04-19_final
2015-04-19 11:34:50	ga_ls8c_ard_3-0-0_112082_2015-04-19_final
2015-05-21 11:32:31	ga_ls8c_ard_3-0-0_112077_2015-05-21_final
2015-05-21 11:32:55	ga_ls8c_ard_3-0-0_112078_2015-05-21_final
2015-05-21 11:33:19	ga_ls8c_ard_3-0-0_112079_2015-05-21_final
2015-05-21 11:33:43	ga_ls8c_ard_3-0-0_112080_2015-05-21_final
2015-05-21 11:34:06	ga_ls8c_ard_3-0-0_112081_2015-05-21_final
2015-05-21 11:34:30	ga_ls8c_ard_3-0-0_112082_2015-05-21_final
2015-06-06 11:32:39	ga_ls8c_ard_3-0-0_112077_2015-06-06_final
2015-06-06 11:33:03	ga_ls8c_ard_3-0-0_112078_2015-06-06_final
2015-06-06 11:33:27	ga_ls8c_ard_3-0-0_112079_2015-06-06_final
2017-12-02 11:41:59	ga_ls8c_ard_3-0-0_114067_2017-12-02_final
2017-12-04 11:33:37	ga_ls8c_ard_3-0-0_112077_2017-12-04_final
2017-12-04 11:34:00	ga_ls8c_ard_3-0-0_112078_2017-12-04_final
2017-12-04 11:34:24	ga_ls8c_ard_3-0-0_112079_2017-12-04_final
2017-12-04 11:34:48	ga_ls8c_ard_3-0-0_112080_2017-12-04_final
2017-12-04 11:35:12	ga_ls8c_ard_3-0-0_112081_2017-12-04_final
2017-12-04 11:35:36	ga_ls8c_ard_3-0-0_112082_2017-12-04_final
2018-01-03 11:41:58	ga_ls8c_ard_3-0-0_114067_2018-01-03_final
2018-01-05 11:33:35	ga_ls8c_ard_3-0-0_112077_2018-01-05_final
2018-01-05 11:33:59	ga_ls8c_ard_3-0-0_112078_2018-01-05_final
2018-01-05 11:34:23	ga_ls8c_ard_3-0-0_112079_2018-01-05_final
2018-01-05 11:34:47	ga_ls8c_ard_3-0-0_112080_2018-01-05_final
2018-01-05 11:35:11	ga_ls8c_ard_3-0-0_112081_2018-01-05_final
2018-01-05 11:35:35	ga_ls8c_ard_3-0-0_112082_2018-01-05_final
2018-03-17 11:37:12	ga_ls8c_ard_3-0-0_113072_2018-03-17_final
2018-03-17 11:37:36	ga_ls8c_ard_3-0-0_113073_2018-03-17_final
2018-03-17 11:38:00	ga_ls8c_ard_3-0-0_113074_2018-03-17_final
2018-03-17 11:38:24	ga_ls8c_ard_3-0-0_113075_2018-03-17_final
2018-03-17 11:38:48	ga_ls8c_ard_3-0-0_113076_2018-03-17_final
2018-03-17 11:39:12	ga_ls8c_ard_3-0-0_113077_2018-03-17_final
2018-03-17 11:39:36	ga_ls8c_ard_3-0-0_113078_2018-03-17_final
2018-03-19 11:28:25	ga_ls8c_ard_3-0-0_111081_2018-03-19_final
2018-03-19 11:28:49	ga_ls8c_ard_3-0-0_111082_2018-03-19_final
2018-03-19 11:29:13	ga_ls8c_ard_3-0-0_111083_2018-03-19_final
2018-03-19 11:29:37	ga_ls8c_ard_3-0-0_111084_2018-03-19_final
2018-03-19 11:30:01	ga_ls8c_ard_3-0-0_111085_2018-03-19_final
2018-04-02 11:37:05	ga_ls8c_ard_3-0-0_113072_2018-04-02_final
2018-04-02 11:37:29	ga_ls8c_ard_3-0-0_113073_2018-04-02_final
2018-04-02 11:37:53	ga_ls8c_ard_3-0-0_113074_2018-04-02_final
2018-04-02 11:38:17	ga_ls8c_ard_3-0-0_113075_2018-04-02_final
2018-04-02 11:38:41	ga_ls8c_ard_3-0-0_113076_2018-04-02_final
2018-04-02 11:39:05	ga_ls8c_ard_3-0-0_113077_2018-04-02_final
2018-04-02 11:39:29	ga_ls8c_ard_3-0-0_113078_2018-04-02_final
2018-04-04 11:28:18	ga_ls8c_ard_3-0-0_111081_2018-04-04_final
2018-04-04 11:28:42	ga_ls8c_ard_3-0-0_111082_2018-04-04_final
2018-04-04 11:29:06	ga_ls8c_ard_3-0-0_111083_2018-04-04_final
2018-04-04 11:29:30	ga_ls8c_ard_3-0-0_111084_2018-04-04_final
2018-04-04 11:29:54	ga_ls8c_ard_3-0-0_111085_2018-04-04_final
2018-07-07 11:36:45	ga_ls8c_ard_3-0-0_113072_2018-07-07_final
2018-07-07 11:37:09	ga_ls8c_ard_3-0-0_113073_2018-07-07_final
2018-07-07 11:37:33	ga_ls8c_ard_3-0-0_113074_2018-07-07_final
2018-07-07 11:37:57	ga_ls8c_ard_3-0-0_113075_2018-07-07_final
2018-07-07 11:38:21	ga_ls8c_ard_3-0-0_113076_2018-07-07_final
2018-07-07 11:38:45	ga_ls8c_ard_3-0-0_113077_2018-07-07_final
2018-07-07 11:39:09	ga_ls8c_ard_3-0-0_113078_2018-07-07_final
2018-07-09 11:28:00	ga_ls8c_ard_3-0-0_111081_2018-07-09_final
2018-07-09 11:28:24	ga_ls8c_ard_3-0-0_111082_2018-07-09_final
2018-07-09 11:28:48	ga_ls8c_ard_3-0-0_111083_2018-07-09_final
2018-07-09 11:29:12	ga_ls8c_ard_3-0-0_111084_2018-07-09_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