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
2014-02-11 11:35:33	ga_ls8c_ard_3-0-0_112080_2014-02-11_final
2014-02-11 11:35:57	ga_ls8c_ard_3-0-0_112081_2014-02-11_final
2014-02-11 11:36:21	ga_ls8c_ard_3-0-0_112082_2014-02-11_final
2014-02-13 11:24:45	ga_ls8c_ard_3-0-0_110084_2014-02-13_final
2014-03-06 11:39:01	ga_ls8c_ard_3-0-0_113074_2014-03-06_final
2014-03-06 11:39:25	ga_ls8c_ard_3-0-0_113075_2014-03-06_final
2014-03-06 11:39:49	ga_ls8c_ard_3-0-0_113076_2014-03-06_final
2014-03-06 11:40:13	ga_ls8c_ard_3-0-0_113077_2014-03-06_final
2014-03-06 11:40:37	ga_ls8c_ard_3-0-0_113078_2014-03-06_final
2014-03-13 11:42:22	ga_ls8c_ard_3-0-0_114067_2014-03-13_final
2014-03-15 11:33:58	ga_ls8c_ard_3-0-0_112077_2014-03-15_final
2014-03-15 11:34:22	ga_ls8c_ard_3-0-0_112078_2014-03-15_final
2014-03-15 11:34:46	ga_ls8c_ard_3-0-0_112079_2014-03-15_final
2014-03-15 11:35:10	ga_ls8c_ard_3-0-0_112080_2014-03-15_final
2014-03-15 11:35:34	ga_ls8c_ard_3-0-0_112081_2014-03-15_final
2014-03-15 11:35:58	ga_ls8c_ard_3-0-0_112082_2014-03-15_final
2014-04-23 11:38:19	ga_ls8c_ard_3-0-0_113074_2014-04-23_final
2014-04-23 11:38:43	ga_ls8c_ard_3-0-0_113075_2014-04-23_final
2014-04-23 11:39:07	ga_ls8c_ard_3-0-0_113076_2014-04-23_final
2014-04-23 11:39:31	ga_ls8c_ard_3-0-0_113077_2014-04-23_final
2014-04-23 11:39:55	ga_ls8c_ard_3-0-0_113078_2014-04-23_final
2014-05-09 11:37:16	ga_ls8c_ard_3-0-0_113072_2014-05-09_final
2014-05-09 11:37:39	ga_ls8c_ard_3-1-0_113073_2014-05-09_final
2014-05-09 11:38:03	ga_ls8c_ard_3-0-0_113074_2014-05-09_final
2014-05-09 11:38:27	ga_ls8c_ard_3-0-0_113075_2014-05-09_final
2014-05-09 11:38:51	ga_ls8c_ard_3-0-0_113076_2014-05-09_final
2014-05-09 11:39:15	ga_ls8c_ard_3-0-0_113077_2014-05-09_final
2014-05-09 11:39:39	ga_ls8c_ard_3-0-0_113078_2014-05-09_final
2014-06-01 11:41:26	ga_ls8c_ard_3-0-0_114067_2014-06-01_final
2015-11-22 11:29:02	ga_ls8c_ard_3-0-0_111081_2015-11-22_final
2015-11-22 11:29:25	ga_ls8c_ard_3-0-0_111082_2015-11-22_final
2015-11-22 11:29:49	ga_ls8c_ard_3-0-0_111083_2015-11-22_final
2015-11-22 11:30:13	ga_ls8c_ard_3-0-0_111084_2015-11-22_final
2015-11-22 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-11-22_final
2017-07-29 11:33:24	ga_ls8c_ard_3-0-0_112077_2017-07-29_final
2017-07-29 11:33:48	ga_ls8c_ard_3-0-0_112078_2017-07-29_final
2017-07-29 11:34:12	ga_ls8c_ard_3-0-0_112079_2017-07-29_final
2017-07-29 11:34:36	ga_ls8c_ard_3-0-0_112080_2017-07-29_final
2017-07-29 11:35:00	ga_ls8c_ard_3-0-0_112081_2017-07-29_final
2017-07-29 11:35:24	ga_ls8c_ard_3-0-0_112082_2017-07-29_final
2017-07-31 11:23:51	ga_ls8c_ard_3-0-0_110084_2017-07-31_final
2017-07-31 11:24:15	ga_ls8c_ard_3-0-0_110085_2017-07-31_final
2017-08-16 11:23:57	ga_ls8c_ard_3-0-0_110084_2017-08-16_final
2017-08-16 11:24:21	ga_ls8c_ard_3-0-0_110085_2017-08-16_final
2017-09-17 11:24:01	ga_ls8c_ard_3-0-0_110084_2017-09-17_final
2017-09-17 11:24:25	ga_ls8c_ard_3-0-0_110085_2017-09-17_final
2017-10-17 11:33:22	ga_ls8c_ard_3-0-0_112076_2017-10-17_final
2017-10-17 11:33:45	ga_ls8c_ard_3-0-0_112077_2017-10-17_final
2017-10-17 11:34:09	ga_ls8c_ard_3-0-0_112078_2017-10-17_final
2017-10-17 11:34:33	ga_ls8c_ard_3-0-0_112079_2017-10-17_final
2017-10-17 11:34:57	ga_ls8c_ard_3-0-0_112080_2017-10-17_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
2017-10-19 11:24:12	ga_ls8c_ard_3-0-0_110084_2017-10-19_final
2019-02-11 11:23:39	ga_ls8c_ard_3-0-0_110084_2019-02-11_final
2019-02-11 11:24:03	ga_ls8c_ard_3-0-0_110085_2019-02-11_final
2019-02-23 11:41:33	ga_ls8c_ard_3-0-0_114067_2019-02-23_final
2019-02-23 11:43:56	ga_ls8c_ard_3-0-0_114073_2019-02-23_final
2019-03-31 11:23:26	ga_ls8c_ard_3-1-0_110084_2019-03-31_final
2019-03-31 11:23:50	ga_ls8c_ard_3-1-0_110085_2019-03-31_final
2019-04-12 11:41:19	ga_ls8c_ard_3-1-0_114067_2019-04-12_final
2019-04-12 11:43:43	ga_ls8c_ard_3-1-0_114073_2019-04-12_final
2019-05-02 11:23:20	ga_ls8c_ard_3-0-0_110084_2019-05-02_final
2019-05-02 11:23:43	ga_ls8c_ard_3-0-0_110085_2019-05-02_final
2019-05-14 11:41:24	ga_ls8c_ard_3-0-0_114067_2019-05-14_final
2019-05-14 11:43:47	ga_ls8c_ard_3-0-0_114073_2019-05-14_final
2019-05-30 11:41:33	ga_ls8c_ard_3-0-0_114067_2019-05-30_final
2019-05-30 11:43:56	ga_ls8c_ard_3-0-0_114073_2019-05-30_final
2020-06-21 11:23:36	ga_ls8c_ard_3-1-0_110084_2020-06-21_final
2020-06-21 11:24:00	ga_ls8c_ard_3-1-0_110085_2020-06-21_final
2020-07-05 11:32:52	ga_ls8c_ard_3-1-0_112076_2020-07-05_final
2020-07-05 11:33:16	ga_ls8c_ard_3-1-0_112077_2020-07-05_final
2020-07-05 11:33:40	ga_ls8c_ard_3-1-0_112078_2020-07-05_final
2020-07-05 11:34:04	ga_ls8c_ard_3-1-0_112079_2020-07-05_final
2020-07-05 11:34:28	ga_ls8c_ard_3-1-0_112080_2020-07-05_final
2020-07-05 11:34:52	ga_ls8c_ard_3-1-0_112081_2020-07-05_final
2020-07-05 11:35:16	ga_ls8c_ard_3-1-0_112082_2020-07-05_final
2020-07-28 11:37:35	ga_ls8c_ard_3-1-0_113072_2020-07-28_final
2020-07-28 11:37:59	ga_ls8c_ard_3-1-0_113073_2020-07-28_final
2020-07-28 11:38:23	ga_ls8c_ard_3-1-0_113074_2020-07-28_final
2020-07-28 11:38:47	ga_ls8c_ard_3-1-0_113075_2020-07-28_final
2020-07-28 11:39:11	ga_ls8c_ard_3-1-0_113076_2020-07-28_final
2020-07-28 11:39:35	ga_ls8c_ard_3-1-0_113077_2020-07-28_final
2020-07-28 11:39:58	ga_ls8c_ard_3-1-0_113078_2020-07-28_final
2020-08-04 11:41:47	ga_ls8c_ard_3-1-0_114067_2020-08-04_final
2020-08-06 11:33:26	ga_ls8c_ard_3-1-0_112077_2020-08-06_final
2020-08-06 11:33:49	ga_ls8c_ard_3-1-0_112078_2020-08-06_final
2020-08-06 11:34:13	ga_ls8c_ard_3-1-0_112079_2020-08-06_final
2020-08-06 11:34:37	ga_ls8c_ard_3-1-0_112080_2020-08-06_final
2020-08-06 11:35:01	ga_ls8c_ard_3-1-0_112081_2020-08-06_final
2020-08-06 11:35:25	ga_ls8c_ard_3-1-0_112082_2020-08-06_final
2020-09-21 11:42:07	ga_ls8c_ard_3-1-0_114067_2020-09-21_final
2020-09-23 11:33:21	ga_ls8c_ard_3-1-0_112076_2020-09-23_final
2020-09-23 11:33:45	ga_ls8c_ard_3-1-0_112077_2020-09-23_final
2020-09-23 11:34:09	ga_ls8c_ard_3-1-0_112078_2020-09-23_final
2020-09-23 11:34:33	ga_ls8c_ard_3-1-0_112079_2020-09-23_final
2020-09-23 11:34:57	ga_ls8c_ard_3-1-0_112080_2020-09-23_final
2020-09-23 11:35:21	ga_ls8c_ard_3-1-0_112081_2020-09-23_final
2020-09-23 11:35:45	ga_ls8c_ard_3-1-0_112082_2020-09-23_final
2020-09-25 11:24:11	ga_ls8c_ard_3-1-0_110084_2020-09-25_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