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
2004-08-29 11:03:17	ga_ls7e_ard_3-0-0_109076_2004-08-29_final
2004-08-29 11:03:41	ga_ls7e_ard_3-0-0_109077_2004-08-29_final
2004-08-29 11:04:04	ga_ls7e_ard_3-0-0_109078_2004-08-29_final
2004-08-29 11:04:28	ga_ls7e_ard_3-0-0_109079_2004-08-29_final
2004-08-29 11:04:52	ga_ls7e_ard_3-0-0_109080_2004-08-29_final
2004-08-29 11:05:16	ga_ls7e_ard_3-1-0_109081_2004-08-29_final
2007-09-14 11:08:31	ga_ls7e_ard_3-0-0_110071_2007-09-14_final
2007-09-14 11:08:55	ga_ls7e_ard_3-1-0_110072_2007-09-14_final
2007-09-14 11:09:19	ga_ls7e_ard_3-0-0_110073_2007-09-14_final
2007-09-14 11:09:43	ga_ls7e_ard_3-0-0_110074_2007-09-14_final
2007-09-14 11:10:07	ga_ls7e_ard_3-0-0_110075_2007-09-14_final
2007-09-14 11:10:31	ga_ls7e_ard_3-0-0_110076_2007-09-14_final
2007-09-14 11:10:55	ga_ls7e_ard_3-0-0_110077_2007-09-14_final
2007-09-16 10:59:45	ga_ls7e_ard_3-0-0_108080_2007-09-16_final
2007-09-16 11:00:09	ga_ls7e_ard_3-0-0_108081_2007-09-16_final
2007-09-16 11:00:33	ga_ls7e_ard_3-1-0_108082_2007-09-16_final
2007-09-16 11:00:57	ga_ls7e_ard_3-0-0_108083_2007-09-16_final
2007-09-16 11:01:21	ga_ls7e_ard_3-0-0_108084_2007-09-16_final
2007-11-24 11:13:29	ga_ls7e_ard_3-0-0_111067_2007-11-24_final
2007-11-24 11:13:53	ga_ls7e_ard_3-0-0_111068_2007-11-24_final
2007-11-24 11:15:28	ga_ls7e_ard_3-0-0_111072_2007-11-24_final
2008-03-26 11:00:05	ga_ls7e_ard_3-0-0_108080_2008-03-26_final
2008-03-26 11:00:29	ga_ls7e_ard_3-0-0_108081_2008-03-26_final
2008-03-26 11:00:53	ga_ls7e_ard_3-1-0_108082_2008-03-26_final
2008-03-26 11:01:17	ga_ls7e_ard_3-0-0_108083_2008-03-26_final
2008-03-26 11:01:41	ga_ls7e_ard_3-0-0_108084_2008-03-26_final
2008-04-16 11:13:25	ga_ls7e_ard_3-0-0_111067_2008-04-16_final
2008-04-16 11:13:49	ga_ls7e_ard_3-0-0_111068_2008-04-16_final
2008-04-16 11:15:01	ga_ls7e_ard_3-0-0_111071_2008-04-16_final
2008-04-16 11:15:25	ga_ls7e_ard_3-0-0_111072_2008-04-16_final
2014-04-26 11:15:55	ga_ls7e_ard_3-0-0_110071_2014-04-26_final
2014-04-26 11:16:18	ga_ls7e_ard_3-1-0_110072_2014-04-26_final
2014-04-26 11:16:42	ga_ls7e_ard_3-0-0_110073_2014-04-26_final
2014-04-26 11:17:06	ga_ls7e_ard_3-0-0_110074_2014-04-26_final
2014-04-26 11:17:30	ga_ls7e_ard_3-0-0_110075_2014-04-26_final
2014-04-26 11:17:54	ga_ls7e_ard_3-0-0_110076_2014-04-26_final
2014-04-26 11:18:18	ga_ls7e_ard_3-0-0_110077_2014-04-26_final
2014-04-28 11:07:09	ga_ls7e_ard_3-0-0_108080_2014-04-28_final
2014-04-28 11:07:33	ga_ls7e_ard_3-0-0_108081_2014-04-28_final
2014-04-28 11:07:57	ga_ls7e_ard_3-1-0_108082_2014-04-28_final
2014-04-28 11:08:21	ga_ls7e_ard_3-0-0_108083_2014-04-28_final
2014-04-28 11:08:45	ga_ls7e_ard_3-0-0_108084_2014-04-28_final
2014-05-26 11:26:50	ga_ls7e_ard_3-0-0_112067_2014-05-26_final
2014-07-22 11:20:52	ga_ls7e_ard_3-0-0_111067_2014-07-22_final
2014-07-22 11:21:15	ga_ls7e_ard_3-0-0_111068_2014-07-22_final
2014-07-22 11:22:27	ga_ls7e_ard_3-0-0_111071_2014-07-22_final
2014-07-22 11:22:51	ga_ls7e_ard_3-0-0_111072_2014-07-22_final
2014-07-29 11:27:06	ga_ls7e_ard_3-0-0_112067_2014-07-29_final
2016-09-29 11:26:03	ga_ls7e_ard_3-0-0_111067_2016-09-29_final
2016-09-29 11:26:27	ga_ls7e_ard_3-0-0_111068_2016-09-29_final
2016-09-29 11:28:02	ga_ls7e_ard_3-0-0_111072_2016-09-29_final
2016-10-01 11:17:17	ga_ls7e_ard_3-0-0_109076_2016-10-01_final
2016-10-01 11:17:41	ga_ls7e_ard_3-0-0_109077_2016-10-01_final
2016-10-01 11:18:04	ga_ls7e_ard_3-0-0_109078_2016-10-01_final
2016-10-01 11:18:28	ga_ls7e_ard_3-0-0_109079_2016-10-01_final
2016-10-01 11:18:52	ga_ls7e_ard_3-0-0_109080_2016-10-01_final
2016-10-01 11:19:16	ga_ls7e_ard_3-1-0_109081_2016-10-01_final
2017-01-03 11:25:34	ga_ls7e_ard_3-0-0_111067_2017-01-03_final
2017-01-03 11:25:58	ga_ls7e_ard_3-0-0_111068_2017-01-03_final
2017-01-14 11:12:06	ga_ls7e_ard_3-0-0_108080_2017-01-14_final
2017-01-14 11:12:30	ga_ls7e_ard_3-0-0_108081_2017-01-14_final
2017-01-14 11:12:54	ga_ls7e_ard_3-0-0_108082_2017-01-14_final
2017-01-14 11:13:18	ga_ls7e_ard_3-0-0_108083_2017-01-14_final
2017-01-14 11:13:42	ga_ls7e_ard_3-0-0_108084_2017-01-14_final
2019-06-18 11:12:48	ga_ls7e_ard_3-0-0_111067_2019-06-18_final
2019-06-18 11:13:12	ga_ls7e_ard_3-0-0_111068_2019-06-18_final
2019-06-18 11:14:24	ga_ls7e_ard_3-0-0_111071_2019-06-18_final
2019-06-18 11:14:48	ga_ls7e_ard_3-0-0_111072_2019-06-18_final
2019-06-20 11:03:57	ga_ls7e_ard_3-0-0_109076_2019-06-20_final
2019-06-20 11:04:21	ga_ls7e_ard_3-0-0_109077_2019-06-20_final
2019-06-20 11:04:45	ga_ls7e_ard_3-0-0_109078_2019-06-20_final
2019-06-20 11:05:09	ga_ls7e_ard_3-0-0_109079_2019-06-20_final
2019-06-20 11:05:33	ga_ls7e_ard_3-0-0_109080_2019-06-20_final
2019-06-20 11:05:57	ga_ls7e_ard_3-1-0_109081_2019-06-20_final
2019-06-22 10:54:43	ga_ls7e_ard_3-0-0_107084_2019-06-22_final
2019-11-09 11:06:48	ga_ls7e_ard_3-1-0_111067_2019-11-09_final
2019-11-09 11:07:12	ga_ls7e_ard_3-1-0_111068_2019-11-09_final
2019-11-09 11:08:24	ga_ls7e_ard_3-1-0_111071_2019-11-09_final
2019-11-09 11:08:48	ga_ls7e_ard_3-1-0_111072_2019-11-09_final
2019-11-11 10:57:57	ga_ls7e_ard_3-1-0_109076_2019-11-11_final
2019-11-11 10:58:21	ga_ls7e_ard_3-1-0_109077_2019-11-11_final
2019-11-11 10:58:44	ga_ls7e_ard_3-1-0_109078_2019-11-11_final
2019-11-11 10:59:32	ga_ls7e_ard_3-1-0_109080_2019-11-11_final
2019-11-11 10:59:56	ga_ls7e_ard_3-1-0_109081_2019-11-11_final
2019-11-13 10:48:41	ga_ls7e_ard_3-1-0_107084_2019-11-13_final
2019-12-06 10:52:10	ga_ls7e_ard_3-1-0_108080_2019-12-06_final
2019-12-06 10:52:34	ga_ls7e_ard_3-1-0_108081_2019-12-06_final
2019-12-06 10:52:58	ga_ls7e_ard_3-1-0_108082_2019-12-06_final
2019-12-06 10:53:22	ga_ls7e_ard_3-1-0_108083_2019-12-06_final
2019-12-06 10:53:46	ga_ls7e_ard_3-1-0_108084_2019-12-06_final
2020-02-06 10:57:48	ga_ls7e_ard_3-1-0_110071_2020-02-06_final
2020-02-06 10:58:12	ga_ls7e_ard_3-1-0_110072_2020-02-06_final
2020-02-06 10:58:36	ga_ls7e_ard_3-1-0_110073_2020-02-06_final
2020-02-06 10:59:00	ga_ls7e_ard_3-1-0_110074_2020-02-06_final
2020-02-06 10:59:48	ga_ls7e_ard_3-1-0_110076_2020-02-06_final
2020-02-06 11:00:12	ga_ls7e_ard_3-1-0_110077_2020-02-06_final
2020-02-08 10:48:56	ga_ls7e_ard_3-1-0_108080_2020-02-08_final
2020-02-08 10:49:20	ga_ls7e_ard_3-1-0_108081_2020-02-08_final
2020-02-08 10:49:43	ga_ls7e_ard_3-1-0_108082_2020-02-08_final
2020-02-08 10:50:07	ga_ls7e_ard_3-1-0_108083_2020-02-08_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years