Search ga_ls7e_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
2008-11-08 11:28:18	ga_ls7e_ard_3-0-0_113076_2008-11-08_final
2008-11-08 11:28:42	ga_ls7e_ard_3-0-0_113077_2008-11-08_final
2008-11-08 11:29:06	ga_ls7e_ard_3-0-0_113078_2008-11-08_final
2008-11-08 11:29:30	ga_ls7e_ard_3-0-0_113079_2008-11-08_final
2008-11-08 11:29:54	ga_ls7e_ard_3-0-0_113080_2008-11-08_final
2008-11-08 11:30:18	ga_ls7e_ard_3-0-0_113081_2008-11-08_final
2008-11-08 11:30:42	ga_ls7e_ard_3-0-0_113082_2008-11-08_final
2010-11-30 11:32:08	ga_ls7e_ard_3-0-0_113076_2010-11-30_final
2010-11-30 11:32:32	ga_ls7e_ard_3-0-0_113077_2010-11-30_final
2010-11-30 11:32:56	ga_ls7e_ard_3-0-0_113078_2010-11-30_final
2010-11-30 11:33:20	ga_ls7e_ard_3-0-0_113079_2010-11-30_final
2010-11-30 11:33:44	ga_ls7e_ard_3-0-0_113080_2010-11-30_final
2010-11-30 11:34:08	ga_ls7e_ard_3-0-0_113081_2010-11-30_final
2010-11-30 11:34:32	ga_ls7e_ard_3-0-0_113082_2010-11-30_final
2010-12-02 11:22:59	ga_ls7e_ard_3-0-0_111084_2010-12-02_final
2011-03-06 11:32:47	ga_ls7e_ard_3-0-0_113076_2011-03-06_final
2011-03-06 11:33:11	ga_ls7e_ard_3-0-0_113077_2011-03-06_final
2011-03-06 11:33:35	ga_ls7e_ard_3-0-0_113078_2011-03-06_final
2011-03-06 11:33:59	ga_ls7e_ard_3-0-0_113079_2011-03-06_final
2011-03-06 11:34:23	ga_ls7e_ard_3-0-0_113080_2011-03-06_final
2011-03-08 11:23:38	ga_ls7e_ard_3-0-0_111084_2011-03-08_final
2014-11-25 11:37:32	ga_ls7e_ard_3-0-0_113076_2014-11-25_final
2014-11-25 11:37:56	ga_ls7e_ard_3-0-0_113077_2014-11-25_final
2014-11-25 11:38:20	ga_ls7e_ard_3-0-0_113078_2014-11-25_final
2014-11-25 11:38:44	ga_ls7e_ard_3-0-0_113079_2014-11-25_final
2014-11-25 11:39:08	ga_ls7e_ard_3-0-0_113080_2014-11-25_final
2014-11-25 11:39:32	ga_ls7e_ard_3-0-0_113081_2014-11-25_final
2014-11-25 11:39:56	ga_ls7e_ard_3-0-0_113082_2014-11-25_final
2015-04-09 11:43:48	ga_ls7e_ard_3-0-0_114074_2015-04-09_final
2015-04-09 11:44:12	ga_ls7e_ard_3-0-0_114075_2015-04-09_final
2015-04-09 11:44:36	ga_ls7e_ard_3-0-0_114076_2015-04-09_final
2015-04-09 11:45:00	ga_ls7e_ard_3-0-0_114077_2015-04-09_final
2015-04-09 11:45:24	ga_ls7e_ard_3-0-0_114078_2015-04-09_final
2015-06-28 11:44:15	ga_ls7e_ard_3-0-0_114074_2015-06-28_final
2015-06-28 11:44:39	ga_ls7e_ard_3-0-0_114075_2015-06-28_final
2015-06-28 11:45:03	ga_ls7e_ard_3-0-0_114076_2015-06-28_final
2015-06-28 11:45:27	ga_ls7e_ard_3-0-0_114077_2015-06-28_final
2015-06-28 11:45:51	ga_ls7e_ard_3-0-0_114078_2015-06-28_final
2015-07-25 11:29:50	ga_ls7e_ard_3-0-0_111084_2015-07-25_final
2015-09-25 11:39:13	ga_ls7e_ard_3-0-0_113076_2015-09-25_final
2015-09-25 11:39:37	ga_ls7e_ard_3-0-0_113077_2015-09-25_final
2015-09-25 11:40:00	ga_ls7e_ard_3-0-0_113078_2015-09-25_final
2015-09-25 11:40:24	ga_ls7e_ard_3-0-0_113079_2015-09-25_final
2015-09-25 11:40:48	ga_ls7e_ard_3-0-0_113080_2015-09-25_final
2015-09-25 11:41:12	ga_ls7e_ard_3-0-0_113081_2015-09-25_final
2015-09-25 11:41:36	ga_ls7e_ard_3-0-0_113082_2015-09-25_final
2015-09-27 11:30:03	ga_ls7e_ard_3-0-0_111084_2015-09-27_final
2015-10-13 11:30:14	ga_ls7e_ard_3-0-0_111084_2015-10-13_final
2015-11-14 11:30:46	ga_ls7e_ard_3-0-0_111084_2015-11-14_final
2016-01-01 11:31:29	ga_ls7e_ard_3-0-0_111084_2016-01-01_final
2016-01-06 11:46:07	ga_ls7e_ard_3-0-0_114074_2016-01-06_final
2016-01-06 11:46:31	ga_ls7e_ard_3-0-0_114075_2016-01-06_final
2016-01-06 11:46:55	ga_ls7e_ard_3-0-0_114076_2016-01-06_final
2016-01-06 11:47:19	ga_ls7e_ard_3-0-0_114077_2016-01-06_final
2016-01-06 11:47:43	ga_ls7e_ard_3-0-0_114078_2016-01-06_final
2016-01-24 11:36:24	ga_ls7e_ard_3-0-0_112080_2016-01-24_final
2016-01-24 11:36:48	ga_ls7e_ard_3-0-0_112081_2016-01-24_final
2016-01-24 11:37:12	ga_ls7e_ard_3-0-0_112082_2016-01-24_final
2016-01-24 11:37:36	ga_ls7e_ard_3-0-0_112083_2016-01-24_final
2016-01-24 11:37:59	ga_ls7e_ard_3-0-0_112084_2016-01-24_final
2016-01-31 11:41:26	ga_ls7e_ard_3-0-0_113077_2016-01-31_final
2016-01-31 11:41:50	ga_ls7e_ard_3-0-0_113078_2016-01-31_final
2016-02-07 11:46:28	ga_ls7e_ard_3-0-0_114074_2016-02-07_final
2016-02-07 11:46:52	ga_ls7e_ard_3-0-0_114075_2016-02-07_final
2016-02-07 11:47:16	ga_ls7e_ard_3-0-0_114076_2016-02-07_final
2016-02-07 11:47:40	ga_ls7e_ard_3-0-0_114077_2016-02-07_final
2016-02-07 11:48:04	ga_ls7e_ard_3-0-0_114078_2016-02-07_final
2016-02-09 11:36:55	ga_ls7e_ard_3-0-0_112081_2016-02-09_final
2016-02-09 11:37:19	ga_ls7e_ard_3-0-0_112082_2016-02-09_final
2016-02-09 11:37:43	ga_ls7e_ard_3-0-0_112083_2016-02-09_final
2016-02-09 11:38:07	ga_ls7e_ard_3-0-0_112084_2016-02-09_final
2016-02-23 11:46:30	ga_ls7e_ard_3-0-0_114074_2016-02-23_final
2016-02-23 11:46:54	ga_ls7e_ard_3-0-0_114075_2016-02-23_final
2016-02-23 11:47:18	ga_ls7e_ard_3-0-0_114076_2016-02-23_final
2016-02-23 11:47:42	ga_ls7e_ard_3-0-0_114077_2016-02-23_final
2016-02-23 11:48:05	ga_ls7e_ard_3-0-0_114078_2016-02-23_final
2016-03-03 11:41:13	ga_ls7e_ard_3-0-0_113076_2016-03-03_final
2016-03-03 11:41:37	ga_ls7e_ard_3-0-0_113077_2016-03-03_final
2016-03-03 11:42:01	ga_ls7e_ard_3-0-0_113078_2016-03-03_final
2016-03-03 11:42:25	ga_ls7e_ard_3-0-0_113079_2016-03-03_final
2016-03-03 11:42:49	ga_ls7e_ard_3-0-0_113080_2016-03-03_final
2016-03-03 11:43:13	ga_ls7e_ard_3-0-0_113081_2016-03-03_final
2016-03-03 11:43:37	ga_ls7e_ard_3-0-0_113082_2016-03-03_final
2019-10-15 11:19:40	ga_ls7e_ard_3-1-0_112081_2019-10-15_final
2019-10-15 11:20:04	ga_ls7e_ard_3-1-0_112082_2019-10-15_final
2019-10-15 11:20:28	ga_ls7e_ard_3-1-0_112083_2019-10-15_final
2019-10-15 11:20:52	ga_ls7e_ard_3-1-0_112084_2019-10-15_final
2019-11-16 11:18:15	ga_ls7e_ard_3-1-0_112081_2019-11-16_final
2019-11-16 11:18:39	ga_ls7e_ard_3-1-0_112082_2019-11-16_final
2019-11-16 11:19:03	ga_ls7e_ard_3-1-0_112083_2019-11-16_final
2019-11-16 11:19:27	ga_ls7e_ard_3-1-0_112084_2019-11-16_final
2019-12-02 11:17:29	ga_ls7e_ard_3-1-0_112081_2019-12-02_final
2019-12-02 11:17:53	ga_ls7e_ard_3-1-0_112082_2019-12-02_final
2019-12-02 11:18:17	ga_ls7e_ard_3-1-0_112083_2019-12-02_final
2019-12-02 11:18:41	ga_ls7e_ard_3-1-0_112084_2019-12-02_final
2020-07-04 11:10:11	ga_ls7e_ard_3-1-0_113077_2020-07-04_final
2020-07-04 11:10:35	ga_ls7e_ard_3-1-0_113078_2020-07-04_final
2020-07-04 11:10:59	ga_ls7e_ard_3-1-0_113079_2020-07-04_final
2020-07-04 11:11:23	ga_ls7e_ard_3-1-0_113080_2020-07-04_final
2020-07-04 11:11:47	ga_ls7e_ard_3-1-0_113081_2020-07-04_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years