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:

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First 100 results (query limit)

Time (local)	Label
2012-09-16 09:53:48	ga_ls7e_ard_3-0-0_097071_2012-09-16_final
2012-10-02 09:53:58	ga_ls7e_ard_3-0-0_097071_2012-10-02_final
2012-10-18 09:54:08	ga_ls7e_ard_3-0-0_097071_2012-10-18_final
2012-11-03 09:54:12	ga_ls7e_ard_3-0-0_097071_2012-11-03_final
2012-12-05 09:54:20	ga_ls7e_ard_3-0-0_097071_2012-12-05_final
2012-12-21 09:54:29	ga_ls7e_ard_3-0-0_097071_2012-12-21_final
2013-01-06 09:54:32	ga_ls7e_ard_3-0-0_097071_2013-01-06_final
2013-02-07 09:54:35	ga_ls7e_ard_3-0-0_097071_2013-02-07_final
2013-03-27 09:54:24	ga_ls7e_ard_3-0-0_097071_2013-03-27_final
2013-04-28 09:54:17	ga_ls7e_ard_3-0-0_097071_2013-04-28_final
2013-05-30 09:54:08	ga_ls7e_ard_3-0-0_097071_2013-05-30_final
2013-06-15 09:54:02	ga_ls7e_ard_3-0-0_097071_2013-06-15_final
2013-07-17 09:53:44	ga_ls7e_ard_3-0-0_097071_2013-07-17_final
2013-08-02 09:53:37	ga_ls7e_ard_3-0-0_097071_2013-08-02_final
2013-09-03 09:53:52	ga_ls7e_ard_3-0-0_097071_2013-09-03_final
2013-09-19 09:54:03	ga_ls7e_ard_3-0-0_097071_2013-09-19_final
2013-10-05 09:54:14	ga_ls7e_ard_3-0-0_097071_2013-10-05_final
2013-10-21 09:54:25	ga_ls7e_ard_3-0-0_097071_2013-10-21_final
2014-01-09 09:54:48	ga_ls7e_ard_3-0-0_097071_2014-01-09_final
2014-01-25 09:55:08	ga_ls7e_ard_3-0-0_097071_2014-01-25_final
2014-03-14 09:55:13	ga_ls7e_ard_3-0-0_097071_2014-03-14_final
2014-03-30 09:55:20	ga_ls7e_ard_3-0-0_097071_2014-03-30_final
2014-05-17 09:55:42	ga_ls7e_ard_3-0-0_097071_2014-05-17_final
2014-06-18 09:55:45	ga_ls7e_ard_3-0-0_097071_2014-06-18_final
2014-07-04 09:55:53	ga_ls7e_ard_3-0-0_097071_2014-07-04_final
2014-07-20 09:55:55	ga_ls7e_ard_3-0-0_097071_2014-07-20_final
2014-08-05 09:56:01	ga_ls7e_ard_3-0-0_097071_2014-08-05_final
2014-08-21 09:56:00	ga_ls7e_ard_3-0-0_097071_2014-08-21_final
2014-09-06 09:56:01	ga_ls7e_ard_3-0-0_097071_2014-09-06_final
2014-09-22 09:56:06	ga_ls7e_ard_3-0-0_097071_2014-09-22_final
2014-10-08 09:56:18	ga_ls7e_ard_3-0-0_097071_2014-10-08_final
2014-11-09 09:56:37	ga_ls7e_ard_3-0-0_097071_2014-11-09_final
2014-11-25 09:56:40	ga_ls7e_ard_3-0-0_097071_2014-11-25_final
2014-12-27 09:56:53	ga_ls7e_ard_3-0-0_097071_2014-12-27_final
2015-01-12 09:56:56	ga_ls7e_ard_3-0-0_097071_2015-01-12_final
2015-01-28 09:57:00	ga_ls7e_ard_3-0-0_097071_2015-01-28_final
2015-02-13 09:57:01	ga_ls7e_ard_3-0-0_097071_2015-02-13_final
2015-03-01 09:57:14	ga_ls7e_ard_3-0-0_097071_2015-03-01_final
2015-03-17 09:57:21	ga_ls7e_ard_3-0-0_097071_2015-03-17_final
2015-04-02 09:57:27	ga_ls7e_ard_3-0-0_097071_2015-04-02_final
2015-04-18 09:57:35	ga_ls7e_ard_3-0-0_097071_2015-04-18_final
2015-05-04 09:57:41	ga_ls7e_ard_3-0-0_097071_2015-05-04_final
2015-05-20 09:57:49	ga_ls7e_ard_3-0-0_097071_2015-05-20_final
2015-06-05 09:57:55	ga_ls7e_ard_3-0-0_097071_2015-06-05_final
2015-06-21 09:57:58	ga_ls7e_ard_3-0-0_097071_2015-06-21_final
2015-07-07 09:58:03	ga_ls7e_ard_3-0-0_097071_2015-07-07_final
2015-07-23 09:58:07	ga_ls7e_ard_3-0-0_097071_2015-07-23_final
2015-08-08 09:58:11	ga_ls7e_ard_3-0-0_097071_2015-08-08_final
2015-08-24 09:58:13	ga_ls7e_ard_3-0-0_097071_2015-08-24_final
2015-09-09 09:58:15	ga_ls7e_ard_3-0-0_097071_2015-09-09_final
2015-09-25 09:58:20	ga_ls7e_ard_3-0-0_097071_2015-09-25_final
2015-10-11 09:58:29	ga_ls7e_ard_3-0-0_097071_2015-10-11_final
2015-10-27 09:58:45	ga_ls7e_ard_3-0-0_097071_2015-10-27_final
2015-11-12 09:59:01	ga_ls7e_ard_3-0-0_097071_2015-11-12_final
2015-11-28 09:59:15	ga_ls7e_ard_3-0-0_097071_2015-11-28_final
2015-12-30 09:59:44	ga_ls7e_ard_3-0-0_097071_2015-12-30_final
2016-01-15 10:00:00	ga_ls7e_ard_3-0-0_097071_2016-01-15_final
2016-02-16 10:00:14	ga_ls7e_ard_3-0-0_097071_2016-02-16_final
2016-03-03 10:00:20	ga_ls7e_ard_3-0-0_097071_2016-03-03_final
2016-03-19 10:00:29	ga_ls7e_ard_3-0-0_097071_2016-03-19_final
2016-04-04 10:00:32	ga_ls7e_ard_3-0-0_097071_2016-04-04_final
2016-04-20 10:00:40	ga_ls7e_ard_3-0-0_097071_2016-04-20_final
2016-06-07 10:00:53	ga_ls7e_ard_3-0-0_097071_2016-06-07_final
2016-07-09 10:00:55	ga_ls7e_ard_3-0-0_097071_2016-07-09_final
2016-07-25 10:00:58	ga_ls7e_ard_3-0-0_097071_2016-07-25_final
2016-08-10 10:00:59	ga_ls7e_ard_3-0-0_097071_2016-08-10_final
2016-08-26 10:01:02	ga_ls7e_ard_3-0-0_097071_2016-08-26_final
2016-09-27 10:01:07	ga_ls7e_ard_3-0-0_097071_2016-09-27_final
2016-10-13 10:01:07	ga_ls7e_ard_3-0-0_097071_2016-10-13_final
2016-10-29 10:01:03	ga_ls7e_ard_3-0-0_097071_2016-10-29_final
2016-11-14 10:00:55	ga_ls7e_ard_3-0-0_097071_2016-11-14_final
2016-11-30 10:00:53	ga_ls7e_ard_3-0-0_097071_2016-11-30_final
2016-12-16 10:00:48	ga_ls7e_ard_3-0-0_097071_2016-12-16_final
2017-01-17 10:00:29	ga_ls7e_ard_3-0-0_097071_2017-01-17_final
2017-02-18 10:00:21	ga_ls7e_ard_3-0-0_097071_2017-02-18_final
2017-03-06 10:00:29	ga_ls7e_ard_3-0-0_097071_2017-03-06_final
2017-03-22 10:00:34	ga_ls7e_ard_3-0-0_097071_2017-03-22_final
2017-04-07 10:00:38	ga_ls7e_ard_3-0-0_097071_2017-04-07_final
2017-05-09 10:00:50	ga_ls7e_ard_3-0-0_097071_2017-05-09_final
2017-07-12 10:01:02	ga_ls7e_ard_3-0-0_097071_2017-07-12_final
2017-07-28 10:01:01	ga_ls7e_ard_3-0-0_097071_2017-07-28_final
2017-09-30 10:00:58	ga_ls7e_ard_3-0-0_097071_2017-09-30_final
2017-11-01 10:01:00	ga_ls7e_ard_3-0-0_097071_2017-11-01_final
2017-11-17 10:00:57	ga_ls7e_ard_3-0-0_097071_2017-11-17_final
2018-02-05 09:59:59	ga_ls7e_ard_3-0-0_097071_2018-02-05_final
2018-02-21 09:59:49	ga_ls7e_ard_3-0-0_097071_2018-02-21_final
2018-04-10 09:59:12	ga_ls7e_ard_3-0-0_097071_2018-04-10_final
2018-06-29 09:57:48	ga_ls7e_ard_3-0-0_097071_2018-06-29_final
2018-07-31 09:57:13	ga_ls7e_ard_3-0-0_097071_2018-07-31_final
2018-08-16 09:56:55	ga_ls7e_ard_3-0-0_097071_2018-08-16_final
2018-10-03 09:55:52	ga_ls7e_ard_3-0-0_097071_2018-10-03_final
2018-10-19 09:55:28	ga_ls7e_ard_3-0-0_097071_2018-10-19_final
2018-11-04 09:55:08	ga_ls7e_ard_3-0-0_097071_2018-11-04_final
2018-11-20 09:54:45	ga_ls7e_ard_3-0-0_097071_2018-11-20_final
2018-12-06 09:54:21	ga_ls7e_ard_3-0-0_097071_2018-12-06_final
2019-01-07 09:53:25	ga_ls7e_ard_3-0-0_097071_2019-01-07_final
2019-01-23 09:52:54	ga_ls7e_ard_3-0-0_097071_2019-01-23_final
2019-02-24 09:51:55	ga_ls7e_ard_3-1-0_097071_2019-02-24_final
2019-03-12 09:51:25	ga_ls7e_ard_3-1-0_097071_2019-03-12_final
2019-05-15 09:49:07	ga_ls7e_ard_3-0-0_097071_2019-05-15_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