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
2011-09-16 09:45:40	ga_ls7e_ard_3-0-0_095087_2011-09-16_final
2011-10-18 09:45:41	ga_ls7e_ard_3-0-0_095087_2011-10-18_final
2012-01-22 09:46:23	ga_ls7e_ard_3-0-0_095087_2012-01-22_final
2012-02-23 09:46:32	ga_ls7e_ard_3-0-0_095087_2012-02-23_final
2012-07-16 09:47:11	ga_ls7e_ard_3-0-0_095087_2012-07-16_final
2012-10-04 09:48:01	ga_ls7e_ard_3-0-0_095087_2012-10-04_final
2012-11-21 09:48:22	ga_ls7e_ard_3-0-0_095087_2012-11-21_final
2013-01-08 09:48:33	ga_ls7e_ard_3-0-0_095087_2013-01-08_final
2013-01-24 09:48:35	ga_ls7e_ard_3-0-0_095087_2013-01-24_final
2013-02-09 09:48:36	ga_ls7e_ard_3-0-0_095087_2013-02-09_final
2013-02-25 09:48:32	ga_ls7e_ard_3-0-0_095087_2013-02-25_final
2013-04-30 09:48:18	ga_ls7e_ard_3-0-0_095087_2013-04-30_final
2013-05-16 09:48:16	ga_ls7e_ard_3-0-0_095087_2013-05-16_final
2013-07-03 09:47:54	ga_ls7e_ard_3-0-0_095087_2013-07-03_final
2013-07-19 09:47:45	ga_ls7e_ard_3-0-0_095087_2013-07-19_final
2013-08-20 09:47:44	ga_ls7e_ard_3-0-0_095087_2013-08-20_final
2013-09-21 09:48:05	ga_ls7e_ard_3-0-0_095087_2013-09-21_final
2013-12-10 09:48:44	ga_ls7e_ard_3-0-0_095087_2013-12-10_final
2014-01-27 09:49:11	ga_ls7e_ard_3-0-0_095087_2014-01-27_final
2014-02-12 09:49:12	ga_ls7e_ard_3-0-0_095087_2014-02-12_final
2014-05-19 09:49:44	ga_ls7e_ard_3-0-0_095087_2014-05-19_final
2014-06-20 09:49:48	ga_ls7e_ard_3-0-0_095087_2014-06-20_final
2014-11-11 09:50:39	ga_ls7e_ard_3-0-0_095087_2014-11-11_final
2014-11-27 09:50:42	ga_ls7e_ard_3-0-0_095087_2014-11-27_final
2014-12-13 09:50:50	ga_ls7e_ard_3-0-0_095087_2014-12-13_final
2015-01-30 09:51:03	ga_ls7e_ard_3-0-0_095087_2015-01-30_final
2015-03-03 09:51:16	ga_ls7e_ard_3-0-0_095087_2015-03-03_final
2015-04-04 09:51:30	ga_ls7e_ard_3-0-0_095087_2015-04-04_final
2015-06-23 09:52:00	ga_ls7e_ard_3-0-0_095087_2015-06-23_final
2015-07-25 09:52:09	ga_ls7e_ard_3-0-0_095087_2015-07-25_final
2015-09-11 09:52:18	ga_ls7e_ard_3-0-0_095087_2015-09-11_final
2015-09-27 09:52:22	ga_ls7e_ard_3-0-0_095087_2015-09-27_final
2015-10-29 09:52:48	ga_ls7e_ard_3-0-0_095087_2015-10-29_final
2015-11-14 09:53:05	ga_ls7e_ard_3-0-0_095087_2015-11-14_final
2015-11-30 09:53:17	ga_ls7e_ard_3-0-0_095087_2015-11-30_final
2015-12-16 09:53:35	ga_ls7e_ard_3-0-0_095087_2015-12-16_final
2016-01-17 09:54:03	ga_ls7e_ard_3-0-0_095087_2016-01-17_final
2016-03-21 09:54:31	ga_ls7e_ard_3-0-0_095087_2016-03-21_final
2016-05-24 09:54:50	ga_ls7e_ard_3-0-0_095087_2016-05-24_final
2016-08-12 09:55:01	ga_ls7e_ard_3-0-0_095087_2016-08-12_final
2016-08-28 09:55:04	ga_ls7e_ard_3-0-0_095087_2016-08-28_final
2016-10-31 09:55:04	ga_ls7e_ard_3-0-0_095087_2016-10-31_final
2016-12-02 09:54:54	ga_ls7e_ard_3-0-0_095087_2016-12-02_final
2016-12-18 09:54:49	ga_ls7e_ard_3-0-0_095087_2016-12-18_final
2017-01-19 09:54:29	ga_ls7e_ard_3-0-0_095087_2017-01-19_final
2017-02-04 09:54:23	ga_ls7e_ard_3-0-0_095087_2017-02-04_final
2017-03-08 09:54:31	ga_ls7e_ard_3-0-0_095087_2017-03-08_final
2017-03-24 09:54:36	ga_ls7e_ard_3-0-0_095087_2017-03-24_final
2017-05-27 09:54:55	ga_ls7e_ard_3-0-0_095087_2017-05-27_final
2017-06-12 09:55:00	ga_ls7e_ard_3-0-0_095087_2017-06-12_final
2017-07-14 09:55:03	ga_ls7e_ard_3-0-0_095087_2017-07-14_final
2017-07-30 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-07-30_final
2017-08-31 09:55:00	ga_ls7e_ard_3-0-0_095087_2017-08-31_final
2017-09-16 09:54:58	ga_ls7e_ard_3-0-0_095087_2017-09-16_final
2017-10-18 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-10-18_final
2017-11-03 09:55:01	ga_ls7e_ard_3-0-0_095087_2017-11-03_final
2017-11-19 09:54:58	ga_ls7e_ard_3-0-0_095087_2017-11-19_final
2018-01-06 09:54:29	ga_ls7e_ard_3-0-0_095087_2018-01-06_final
2018-02-07 09:53:59	ga_ls7e_ard_3-0-0_095087_2018-02-07_final
2018-04-12 09:53:11	ga_ls7e_ard_3-0-0_095087_2018-04-12_final
2018-04-28 09:52:54	ga_ls7e_ard_3-0-0_095087_2018-04-28_final
2018-05-30 09:52:23	ga_ls7e_ard_3-0-0_095087_2018-05-30_final
2018-07-01 09:51:47	ga_ls7e_ard_3-0-0_095087_2018-07-01_final
2018-08-02 09:51:12	ga_ls7e_ard_3-0-0_095087_2018-08-02_final
2018-09-19 09:50:13	ga_ls7e_ard_3-0-0_095087_2018-09-19_final
2018-12-24 09:47:52	ga_ls7e_ard_3-0-0_095087_2018-12-24_final
2019-03-14 09:45:23	ga_ls7e_ard_3-1-0_095087_2019-03-14_final
2019-04-15 09:44:16	ga_ls7e_ard_3-0-0_095087_2019-04-15_final
2019-05-01 09:43:41	ga_ls7e_ard_3-0-0_095087_2019-05-01_final
2019-05-17 09:43:03	ga_ls7e_ard_3-0-0_095087_2019-05-17_final
2019-07-04 09:41:18	ga_ls7e_ard_3-0-0_095087_2019-07-04_final
2019-07-20 09:40:40	ga_ls7e_ard_3-0-0_095087_2019-07-20_final
2019-08-05 09:40:02	ga_ls7e_ard_3-0-0_095087_2019-08-05_final
2019-09-06 09:38:40	ga_ls7e_ard_3-1-0_095087_2019-09-06_final
2019-09-22 09:37:58	ga_ls7e_ard_3-1-0_095087_2019-09-22_final
2019-10-08 09:37:18	ga_ls7e_ard_3-1-0_095087_2019-10-08_final
2019-10-24 09:36:37	ga_ls7e_ard_3-1-0_095087_2019-10-24_final
2019-12-27 09:33:33	ga_ls7e_ard_3-1-0_095087_2019-12-27_final
2020-01-28 09:31:56	ga_ls7e_ard_3-1-0_095087_2020-01-28_final
2020-03-16 09:29:25	ga_ls7e_ard_3-1-0_095087_2020-03-15_final
2020-04-01 09:28:31	ga_ls7e_ard_3-1-0_095087_2020-03-31_final
2020-04-17 09:27:36	ga_ls7e_ard_3-1-0_095087_2020-04-16_final
2020-05-19 09:25:40	ga_ls7e_ard_3-1-0_095087_2020-05-18_final
2020-06-04 09:24:42	ga_ls7e_ard_3-1-0_095087_2020-06-03_final
2020-06-20 09:23:46	ga_ls7e_ard_3-1-0_095087_2020-06-19_final
2020-08-07 09:20:51	ga_ls7e_ard_3-1-0_095087_2020-08-06_final
2020-08-23 09:19:49	ga_ls7e_ard_3-1-0_095087_2020-08-22_final
2020-09-08 09:18:46	ga_ls7e_ard_3-1-0_095087_2020-09-07_final
2020-09-24 09:17:43	ga_ls7e_ard_3-1-0_095087_2020-09-23_final
2020-11-27 09:13:27	ga_ls7e_ard_3-1-0_095087_2020-11-26_final
2020-12-13 09:12:15	ga_ls7e_ard_3-1-0_095087_2020-12-12_final
2021-03-19 09:05:08	ga_ls7e_ard_3-2-0_095087_2021-03-18_final
2021-05-22 08:59:48	ga_ls7e_ard_3-2-0_095087_2021-05-21_final
2021-06-07 08:58:27	ga_ls7e_ard_3-2-0_095087_2021-06-06_final
2021-07-09 08:55:48	ga_ls7e_ard_3-2-0_095087_2021-07-08_final
2021-08-10 08:53:01	ga_ls7e_ard_3-2-0_095087_2021-08-09_final
2021-09-27 08:48:47	ga_ls7e_ard_3-2-0_095087_2021-09-26_final
2021-10-13 08:47:23	ga_ls7e_ard_3-2-0_095087_2021-10-12_final
2021-11-30 08:42:52	ga_ls7e_ard_3-2-1_095087_2021-11-29_final
2021-12-16 08:41:21	ga_ls7e_ard_3-2-1_095087_2021-12-15_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