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
2013-01-31 09:49:35	ga_ls7e_ard_3-0-0_096074_2013-01-31_final
2013-02-16 09:49:35	ga_ls7e_ard_3-0-0_096074_2013-02-16_final
2013-04-21 09:49:19	ga_ls7e_ard_3-0-0_096074_2013-04-21_final
2013-05-07 09:49:16	ga_ls7e_ard_3-0-0_096074_2013-05-07_final
2013-05-23 09:49:13	ga_ls7e_ard_3-0-0_096074_2013-05-23_final
2013-06-08 09:49:04	ga_ls7e_ard_3-0-0_096074_2013-06-08_final
2013-06-24 09:48:59	ga_ls7e_ard_3-0-0_096074_2013-06-24_final
2013-07-10 09:48:47	ga_ls7e_ard_3-0-0_096074_2013-07-10_final
2013-07-26 09:48:41	ga_ls7e_ard_3-0-0_096074_2013-07-26_final
2013-09-12 09:49:00	ga_ls7e_ard_3-1-0_096074_2013-09-12_final
2013-09-28 09:49:09	ga_ls7e_ard_3-0-0_096074_2013-09-28_final
2013-10-30 09:49:27	ga_ls7e_ard_3-0-0_096074_2013-10-30_final
2013-11-15 09:49:34	ga_ls7e_ard_3-0-0_096074_2013-11-15_final
2013-12-01 09:49:41	ga_ls7e_ard_3-0-0_096074_2013-12-01_final
2013-12-17 09:49:42	ga_ls7e_ard_3-0-0_096074_2013-12-17_final
2014-01-18 09:50:01	ga_ls7e_ard_3-0-0_096074_2014-01-18_final
2014-04-08 09:50:21	ga_ls7e_ard_3-0-0_096074_2014-04-08_final
2014-04-24 09:50:34	ga_ls7e_ard_3-0-0_096074_2014-04-24_final
2014-05-10 09:50:39	ga_ls7e_ard_3-0-0_096074_2014-05-10_final
2014-05-26 09:50:45	ga_ls7e_ard_3-0-0_096074_2014-05-26_final
2014-06-11 09:50:47	ga_ls7e_ard_3-0-0_096074_2014-06-11_final
2014-06-27 09:50:51	ga_ls7e_ard_3-0-0_096074_2014-06-27_final
2014-07-13 09:50:54	ga_ls7e_ard_3-0-0_096074_2014-07-13_final
2014-07-29 09:51:00	ga_ls7e_ard_3-0-0_096074_2014-07-29_final
2014-09-15 09:51:02	ga_ls7e_ard_3-0-0_096074_2014-09-15_final
2014-10-01 09:51:14	ga_ls7e_ard_3-0-0_096074_2014-10-01_final
2014-10-17 09:51:23	ga_ls7e_ard_3-0-0_096074_2014-10-17_final
2014-11-02 09:51:34	ga_ls7e_ard_3-0-0_096074_2014-11-02_final
2014-12-04 09:51:46	ga_ls7e_ard_3-0-0_096074_2014-12-04_final
2015-01-05 09:51:55	ga_ls7e_ard_3-0-0_096074_2015-01-05_final
2015-01-21 09:51:56	ga_ls7e_ard_3-0-0_096074_2015-01-21_final
2015-02-06 09:52:05	ga_ls7e_ard_3-0-0_096074_2015-02-06_final
2015-02-22 09:52:10	ga_ls7e_ard_3-0-0_096074_2015-02-22_final
2015-03-10 09:52:16	ga_ls7e_ard_3-0-0_096074_2015-03-10_final
2015-03-26 09:52:26	ga_ls7e_ard_3-0-0_096074_2015-03-26_final
2015-04-11 09:52:34	ga_ls7e_ard_3-0-0_096074_2015-04-11_final
2015-04-27 09:52:40	ga_ls7e_ard_3-0-0_096074_2015-04-27_final
2015-05-13 09:52:48	ga_ls7e_ard_3-0-0_096074_2015-05-13_final
2015-05-29 09:52:52	ga_ls7e_ard_3-0-0_096074_2015-05-29_final
2015-06-14 09:52:59	ga_ls7e_ard_3-0-0_096074_2015-06-14_final
2015-07-16 09:53:07	ga_ls7e_ard_3-0-0_096074_2015-07-16_final
2015-08-01 09:53:10	ga_ls7e_ard_3-0-0_096074_2015-08-01_final
2015-08-17 09:53:14	ga_ls7e_ard_3-0-0_096074_2015-08-17_final
2015-09-02 09:53:13	ga_ls7e_ard_3-0-0_096074_2015-09-02_final
2015-09-18 09:53:19	ga_ls7e_ard_3-0-0_096074_2015-09-18_final
2015-10-04 09:53:21	ga_ls7e_ard_3-0-0_096074_2015-10-04_final
2015-10-20 09:53:40	ga_ls7e_ard_3-0-0_096074_2015-10-20_final
2015-11-21 09:54:11	ga_ls7e_ard_3-0-0_096074_2015-11-21_final
2015-12-07 09:54:25	ga_ls7e_ard_3-0-0_096074_2015-12-07_final
2015-12-23 09:54:40	ga_ls7e_ard_3-0-0_096074_2015-12-23_final
2016-01-08 09:54:54	ga_ls7e_ard_3-0-0_096074_2016-01-08_final
2016-01-24 09:55:07	ga_ls7e_ard_3-0-0_096074_2016-01-24_final
2016-02-25 09:55:16	ga_ls7e_ard_3-0-0_096074_2016-02-25_final
2016-03-28 09:55:32	ga_ls7e_ard_3-0-0_096074_2016-03-28_final
2016-04-13 09:55:38	ga_ls7e_ard_3-0-0_096074_2016-04-13_final
2016-04-29 09:55:44	ga_ls7e_ard_3-0-0_096074_2016-04-29_final
2016-05-15 09:55:47	ga_ls7e_ard_3-0-0_096074_2016-05-15_final
2016-05-31 09:55:52	ga_ls7e_ard_3-0-0_096074_2016-05-31_final
2016-06-16 09:55:56	ga_ls7e_ard_3-0-0_096074_2016-06-16_final
2016-07-02 09:55:57	ga_ls7e_ard_3-0-0_096074_2016-07-02_final
2016-07-18 09:55:57	ga_ls7e_ard_3-0-0_096074_2016-07-18_final
2016-08-03 09:56:00	ga_ls7e_ard_3-0-0_096074_2016-08-03_final
2016-09-04 09:56:05	ga_ls7e_ard_3-0-0_096074_2016-09-04_final
2016-09-20 09:56:06	ga_ls7e_ard_3-0-0_096074_2016-09-20_final
2016-10-06 09:56:08	ga_ls7e_ard_3-0-0_096074_2016-10-06_final
2016-10-22 09:56:06	ga_ls7e_ard_3-0-0_096074_2016-10-22_final
2016-11-07 09:56:00	ga_ls7e_ard_3-0-0_096074_2016-11-07_final
2016-11-23 09:55:54	ga_ls7e_ard_3-0-0_096074_2016-11-23_final
2016-12-09 09:55:51	ga_ls7e_ard_3-0-0_096074_2016-12-09_final
2016-12-25 09:55:45	ga_ls7e_ard_3-0-0_096074_2016-12-25_final
2017-01-10 09:55:35	ga_ls7e_ard_3-0-0_096074_2017-01-10_final
2017-01-26 09:55:24	ga_ls7e_ard_3-0-0_096074_2017-01-26_final
2017-02-11 09:55:17	ga_ls7e_ard_3-0-0_096074_2017-02-11_final
2017-02-27 09:55:27	ga_ls7e_ard_3-0-0_096074_2017-02-27_final
2017-03-15 09:55:33	ga_ls7e_ard_3-0-0_096074_2017-03-15_final
2017-03-31 09:55:37	ga_ls7e_ard_3-0-0_096074_2017-03-31_final
2017-05-02 09:55:49	ga_ls7e_ard_3-0-0_096074_2017-05-02_final
2017-06-03 09:55:57	ga_ls7e_ard_3-0-0_096074_2017-06-03_final
2017-07-05 09:56:02	ga_ls7e_ard_3-0-0_096074_2017-07-05_final
2017-08-22 09:56:00	ga_ls7e_ard_3-0-0_096074_2017-08-22_final
2017-09-07 09:55:59	ga_ls7e_ard_3-0-0_096074_2017-09-07_final
2017-10-09 09:56:00	ga_ls7e_ard_3-0-0_096074_2017-10-09_final
2017-10-25 09:56:01	ga_ls7e_ard_3-0-0_096074_2017-10-25_final
2017-11-10 09:56:00	ga_ls7e_ard_3-0-0_096074_2017-11-10_final
2017-12-12 09:55:47	ga_ls7e_ard_3-0-0_096074_2017-12-12_final
2018-01-13 09:55:23	ga_ls7e_ard_3-0-0_096074_2018-01-13_final
2018-01-29 09:55:08	ga_ls7e_ard_3-0-0_096074_2018-01-29_final
2018-02-14 09:54:55	ga_ls7e_ard_3-0-0_096074_2018-02-14_final
2018-04-03 09:54:19	ga_ls7e_ard_3-0-0_096074_2018-04-03_final
2018-05-21 09:53:31	ga_ls7e_ard_3-0-0_096074_2018-05-21_final
2018-08-09 09:52:04	ga_ls7e_ard_3-0-0_096074_2018-08-09_final
2018-08-25 09:51:45	ga_ls7e_ard_3-0-0_096074_2018-08-25_final
2018-09-26 09:51:03	ga_ls7e_ard_3-0-0_096074_2018-09-26_final
2018-10-12 09:50:39	ga_ls7e_ard_3-0-0_096074_2018-10-12_final
2018-10-28 09:50:18	ga_ls7e_ard_3-0-0_096074_2018-10-28_final
2018-11-13 09:49:56	ga_ls7e_ard_3-0-0_096074_2018-11-13_final
2018-12-31 09:48:39	ga_ls7e_ard_3-0-0_096074_2018-12-31_final
2019-01-16 09:48:09	ga_ls7e_ard_3-0-0_096074_2019-01-16_final
2019-03-05 09:46:40	ga_ls7e_ard_3-1-0_096074_2019-03-05_final
2019-04-06 09:45:35	ga_ls7e_ard_3-0-0_096074_2019-04-06_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