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
2013-05-29 11:46:41	ga_ls8c_ard_3-0-0_114074_2013-05-29_final
2013-05-31 11:35:55	ga_ls8c_ard_3-0-0_112078_2013-05-31_final
2013-05-31 11:36:19	ga_ls8c_ard_3-0-0_112079_2013-05-31_final
2013-05-31 11:36:43	ga_ls8c_ard_3-0-0_112080_2013-05-31_final
2013-05-31 11:37:07	ga_ls8c_ard_3-0-0_112081_2013-05-31_final
2013-05-31 11:37:31	ga_ls8c_ard_3-0-0_112082_2013-05-31_final
2013-05-31 11:37:55	ga_ls8c_ard_3-0-0_112083_2013-05-31_final
2013-09-02 11:46:40	ga_ls8c_ard_3-0-0_114074_2013-09-02_final
2013-11-05 11:46:22	ga_ls8c_ard_3-0-0_114074_2013-11-05_final
2015-12-22 11:38:11	ga_ls8c_ard_3-0-0_113073_2015-12-22_final
2015-12-22 11:38:35	ga_ls8c_ard_3-0-0_113074_2015-12-22_final
2015-12-22 11:38:59	ga_ls8c_ard_3-0-0_113075_2015-12-22_final
2015-12-22 11:39:23	ga_ls8c_ard_3-0-0_113076_2015-12-22_final
2015-12-22 11:39:47	ga_ls8c_ard_3-0-0_113077_2015-12-22_final
2015-12-22 11:40:11	ga_ls8c_ard_3-0-0_113078_2015-12-22_final
2015-12-22 11:40:35	ga_ls8c_ard_3-0-0_113079_2015-12-22_final
2015-12-24 11:29:25	ga_ls8c_ard_3-0-0_111082_2015-12-24_final
2015-12-24 11:29:49	ga_ls8c_ard_3-0-0_111083_2015-12-24_final
2015-12-24 11:30:13	ga_ls8c_ard_3-0-0_111084_2015-12-24_final
2015-12-24 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-12-24_final
2016-03-04 11:33:45	ga_ls8c_ard_3-0-0_112078_2016-03-04_final
2016-03-04 11:34:09	ga_ls8c_ard_3-0-0_112079_2016-03-04_final
2016-04-19 11:44:11	ga_ls8c_ard_3-0-0_114074_2016-04-19_final
2016-04-21 11:33:24	ga_ls8c_ard_3-0-0_112078_2016-04-21_final
2016-04-21 11:33:48	ga_ls8c_ard_3-0-0_112079_2016-04-21_final
2016-04-21 11:34:12	ga_ls8c_ard_3-0-0_112080_2016-04-21_final
2016-04-21 11:34:36	ga_ls8c_ard_3-0-0_112081_2016-04-21_final
2016-04-21 11:35:00	ga_ls8c_ard_3-0-0_112082_2016-04-21_final
2016-04-21 11:35:24	ga_ls8c_ard_3-0-0_112083_2016-04-21_final
2016-05-05 11:44:14	ga_ls8c_ard_3-0-0_114074_2016-05-05_final
2016-05-07 11:33:27	ga_ls8c_ard_3-0-0_112078_2016-05-07_final
2016-05-07 11:33:51	ga_ls8c_ard_3-0-0_112079_2016-05-07_final
2016-05-07 11:34:15	ga_ls8c_ard_3-0-0_112080_2016-05-07_final
2016-05-07 11:34:39	ga_ls8c_ard_3-0-0_112081_2016-05-07_final
2016-05-07 11:35:03	ga_ls8c_ard_3-0-0_112082_2016-05-07_final
2016-05-07 11:35:27	ga_ls8c_ard_3-0-0_112083_2016-05-07_final
2016-05-23 11:33:28	ga_ls8c_ard_3-0-0_112078_2016-05-23_final
2016-05-23 11:33:52	ga_ls8c_ard_3-0-0_112079_2016-05-23_final
2016-05-23 11:34:16	ga_ls8c_ard_3-0-0_112080_2016-05-23_final
2016-05-23 11:34:40	ga_ls8c_ard_3-0-0_112081_2016-05-23_final
2016-05-23 11:35:04	ga_ls8c_ard_3-0-0_112082_2016-05-23_final
2016-05-23 11:35:28	ga_ls8c_ard_3-0-0_112083_2016-05-23_final
2016-06-22 11:44:23	ga_ls8c_ard_3-0-0_114074_2016-06-22_final
2016-06-24 11:33:38	ga_ls8c_ard_3-0-0_112078_2016-06-24_final
2016-06-24 11:34:02	ga_ls8c_ard_3-0-0_112079_2016-06-24_final
2016-06-24 11:34:26	ga_ls8c_ard_3-0-0_112080_2016-06-24_final
2016-06-24 11:34:50	ga_ls8c_ard_3-0-0_112081_2016-06-24_final
2016-06-24 11:35:14	ga_ls8c_ard_3-0-0_112082_2016-06-24_final
2016-06-24 11:35:38	ga_ls8c_ard_3-0-0_112083_2016-06-24_final
2016-07-24 11:44:37	ga_ls8c_ard_3-0-0_114074_2016-07-24_final
2016-08-09 11:44:39	ga_ls8c_ard_3-0-0_114074_2016-08-09_final
2016-08-11 11:33:53	ga_ls8c_ard_3-0-0_112078_2016-08-11_final
2016-08-11 11:34:17	ga_ls8c_ard_3-0-0_112079_2016-08-11_final
2016-08-11 11:34:41	ga_ls8c_ard_3-0-0_112080_2016-08-11_final
2016-08-11 11:35:05	ga_ls8c_ard_3-0-0_112081_2016-08-11_final
2016-08-11 11:35:29	ga_ls8c_ard_3-0-0_112082_2016-08-11_final
2016-08-11 11:35:53	ga_ls8c_ard_3-0-0_112083_2016-08-11_final
2016-09-10 11:44:51	ga_ls8c_ard_3-0-0_114074_2016-09-10_final
2016-09-12 11:34:05	ga_ls8c_ard_3-0-0_112078_2016-09-12_final
2016-09-12 11:34:29	ga_ls8c_ard_3-0-0_112079_2016-09-12_final
2016-09-12 11:34:53	ga_ls8c_ard_3-0-0_112080_2016-09-12_final
2016-09-12 11:35:17	ga_ls8c_ard_3-0-0_112081_2016-09-12_final
2016-09-12 11:35:41	ga_ls8c_ard_3-0-0_112082_2016-09-12_final
2016-09-12 11:36:05	ga_ls8c_ard_3-0-0_112083_2016-09-12_final
2019-09-19 11:44:32	ga_ls8c_ard_3-1-0_114073_2019-09-19_final
2019-09-19 11:44:55	ga_ls8c_ard_3-1-0_114074_2019-09-19_final
2019-09-21 11:34:10	ga_ls8c_ard_3-1-0_112078_2019-09-21_final
2019-09-21 11:34:34	ga_ls8c_ard_3-1-0_112079_2019-09-21_final
2019-09-21 11:34:58	ga_ls8c_ard_3-1-0_112080_2019-09-21_final
2019-09-21 11:35:22	ga_ls8c_ard_3-1-0_112081_2019-09-21_final
2019-09-21 11:35:46	ga_ls8c_ard_3-1-0_112082_2019-09-21_final
2019-09-21 11:36:10	ga_ls8c_ard_3-1-0_112083_2019-09-21_final
2019-11-06 11:44:36	ga_ls8c_ard_3-1-0_114073_2019-11-06_final
2019-11-06 11:45:00	ga_ls8c_ard_3-1-0_114074_2019-11-06_final
2019-11-08 11:34:14	ga_ls8c_ard_3-1-0_112078_2019-11-08_final
2019-11-08 11:34:38	ga_ls8c_ard_3-1-0_112079_2019-11-08_final
2019-11-08 11:35:02	ga_ls8c_ard_3-1-0_112080_2019-11-08_final
2019-11-08 11:35:26	ga_ls8c_ard_3-1-0_112081_2019-11-08_final
2019-11-08 11:35:50	ga_ls8c_ard_3-1-0_112082_2019-11-08_final
2019-11-08 11:36:14	ga_ls8c_ard_3-1-0_112083_2019-11-08_final
2020-03-06 11:38:22	ga_ls8c_ard_3-1-0_113074_2020-03-06_final
2020-03-06 11:38:46	ga_ls8c_ard_3-1-0_113075_2020-03-06_final
2020-03-06 11:39:10	ga_ls8c_ard_3-1-0_113076_2020-03-06_final
2020-03-06 11:39:34	ga_ls8c_ard_3-1-0_113077_2020-03-06_final
2020-03-06 11:39:58	ga_ls8c_ard_3-1-0_113078_2020-03-06_final
2020-03-06 11:40:22	ga_ls8c_ard_3-1-0_113079_2020-03-06_final
2020-03-08 11:29:11	ga_ls8c_ard_3-1-0_111082_2020-03-08_final
2020-03-08 11:29:35	ga_ls8c_ard_3-1-0_111083_2020-03-08_final
2020-03-08 11:29:59	ga_ls8c_ard_3-1-0_111084_2020-03-08_final
2020-03-08 11:30:23	ga_ls8c_ard_3-1-0_111085_2020-03-08_final
2020-04-23 11:37:35	ga_ls8c_ard_3-1-0_113073_2020-04-23_final
2020-04-23 11:37:59	ga_ls8c_ard_3-1-0_113074_2020-04-23_final
2020-04-23 11:38:23	ga_ls8c_ard_3-1-0_113075_2020-04-23_final
2020-04-23 11:38:47	ga_ls8c_ard_3-1-0_113076_2020-04-23_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
2020-07-14 11:29:09	ga_ls8c_ard_3-1-0_111082_2020-07-14_final
2020-07-14 11:29:32	ga_ls8c_ard_3-1-0_111083_2020-07-14_final
2020-07-14 11:29:56	ga_ls8c_ard_3-1-0_111084_2020-07-14_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