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
2009-07-13 11:37:45	ga_ls7e_ard_3-0-0_114081_2009-07-13_final
2010-06-30 11:39:37	ga_ls7e_ard_3-0-0_114081_2010-06-30_final
2010-12-07 11:40:23	ga_ls7e_ard_3-0-0_114081_2010-12-07_final
2011-04-14 11:41:02	ga_ls7e_ard_3-0-0_114081_2011-04-14_final
2011-08-20 11:40:49	ga_ls7e_ard_3-0-0_114081_2011-08-20_final
2011-11-24 11:41:06	ga_ls7e_ard_3-0-0_114081_2011-11-24_final
2012-03-15 11:41:32	ga_ls7e_ard_3-0-0_114081_2012-03-15_final
2013-03-18 11:43:32	ga_ls7e_ard_3-0-0_114081_2013-03-18_final
2013-04-03 11:43:28	ga_ls7e_ard_3-0-0_114081_2013-04-03_final
2013-06-22 11:43:02	ga_ls7e_ard_3-0-0_114081_2013-06-22_final
2013-11-13 11:43:36	ga_ls7e_ard_3-0-0_114081_2013-11-13_final
2013-12-15 11:43:45	ga_ls7e_ard_3-0-0_114081_2013-12-15_final
2014-03-05 11:44:12	ga_ls7e_ard_3-0-0_114081_2014-03-05_final
2014-03-21 11:44:20	ga_ls7e_ard_3-0-0_114081_2014-03-21_final
2014-04-22 11:44:35	ga_ls7e_ard_3-0-0_114081_2014-04-22_final
2014-06-25 11:44:53	ga_ls7e_ard_3-0-0_114081_2014-06-25_final
2014-07-11 11:44:57	ga_ls7e_ard_3-0-0_114081_2014-07-11_final
2014-08-28 11:45:02	ga_ls7e_ard_3-0-0_114081_2014-08-28_final
2014-10-15 11:45:23	ga_ls7e_ard_3-0-0_114081_2014-10-15_final
2015-01-19 11:45:58	ga_ls7e_ard_3-0-0_114081_2015-01-19_final
2015-03-24 11:46:28	ga_ls7e_ard_3-0-0_114081_2015-03-24_final
2015-05-11 11:46:49	ga_ls7e_ard_3-0-0_114081_2015-05-11_final
2015-05-27 11:46:53	ga_ls7e_ard_3-0-0_114081_2015-05-27_final
2015-06-28 11:47:03	ga_ls7e_ard_3-0-0_114081_2015-06-28_final
2015-08-15 11:47:16	ga_ls7e_ard_3-0-0_114081_2015-08-15_final
2016-02-07 11:49:16	ga_ls7e_ard_3-0-0_114081_2016-02-07_final
2016-03-10 11:49:28	ga_ls7e_ard_3-0-0_114081_2016-03-10_final
2016-05-13 11:49:49	ga_ls7e_ard_3-0-0_114081_2016-05-13_final
2016-06-14 11:49:58	ga_ls7e_ard_3-0-0_114081_2016-06-14_final
2016-06-30 11:49:59	ga_ls7e_ard_3-0-0_114081_2016-06-30_final
2016-08-01 11:50:02	ga_ls7e_ard_3-0-0_114081_2016-08-01_final
2016-09-18 11:50:08	ga_ls7e_ard_3-0-0_114081_2016-09-18_final
2016-10-04 11:50:11	ga_ls7e_ard_3-0-0_114081_2016-10-04_final
2017-03-29 11:49:39	ga_ls7e_ard_3-0-0_114081_2017-03-29_final
2017-06-01 11:49:58	ga_ls7e_ard_3-0-0_114081_2017-06-01_final
2017-06-17 11:50:02	ga_ls7e_ard_3-0-0_114081_2017-06-17_final
2017-09-05 11:50:02	ga_ls7e_ard_3-0-0_114081_2017-09-05_final
2018-02-12 11:48:58	ga_ls7e_ard_3-0-0_114081_2018-02-12_final
2018-02-28 11:48:48	ga_ls7e_ard_3-0-0_114081_2018-02-28_final
2018-04-01 11:48:23	ga_ls7e_ard_3-0-0_114081_2018-04-01_final
2018-05-19 11:47:35	ga_ls7e_ard_3-0-0_114081_2018-05-19_final
2018-06-20 11:47:02	ga_ls7e_ard_3-0-0_114081_2018-06-20_final
2018-07-06 11:46:43	ga_ls7e_ard_3-0-0_114081_2018-07-06_final
2018-08-23 11:45:50	ga_ls7e_ard_3-0-0_114081_2018-08-23_final
2018-09-24 11:45:08	ga_ls7e_ard_3-0-0_114081_2018-09-24_final
2018-10-26 11:44:23	ga_ls7e_ard_3-0-0_114081_2018-10-26_final
2018-11-27 11:43:38	ga_ls7e_ard_3-0-0_114081_2018-11-27_final
2018-12-13 11:43:12	ga_ls7e_ard_3-0-0_114081_2018-12-13_final
2018-12-29 11:42:44	ga_ls7e_ard_3-0-0_114081_2018-12-29_final
2019-01-14 11:42:15	ga_ls7e_ard_3-0-0_114081_2019-01-14_final
2019-01-30 11:41:43	ga_ls7e_ard_3-0-0_114081_2019-01-30_final
2019-02-15 11:41:15	ga_ls7e_ard_3-0-0_114081_2019-02-15_final
2019-03-03 11:40:45	ga_ls7e_ard_3-1-0_114081_2019-03-03_final
2019-03-19 11:40:14	ga_ls7e_ard_3-1-0_114081_2019-03-19_final
2019-04-20 11:39:07	ga_ls7e_ard_3-0-0_114081_2019-04-20_final
2019-05-22 11:37:53	ga_ls7e_ard_3-0-0_114081_2019-05-22_final
2019-07-09 11:36:08	ga_ls7e_ard_3-0-0_114081_2019-07-09_final
2019-08-10 11:34:51	ga_ls7e_ard_3-0-0_114081_2019-08-10_final
2019-08-26 11:34:10	ga_ls7e_ard_3-1-0_114081_2019-08-26_final
2019-09-27 11:32:46	ga_ls7e_ard_3-1-0_114081_2019-09-27_final
2019-10-29 11:31:26	ga_ls7e_ard_3-1-0_114081_2019-10-29_final
2019-11-14 11:30:42	ga_ls7e_ard_3-1-0_114081_2019-11-14_final
2019-11-30 11:29:56	ga_ls7e_ard_3-1-0_114081_2019-11-30_final
2019-12-16 11:29:09	ga_ls7e_ard_3-1-0_114081_2019-12-16_final
2020-01-01 11:28:19	ga_ls7e_ard_3-1-0_114081_2020-01-01_final
2020-01-17 11:27:31	ga_ls7e_ard_3-1-0_114081_2020-01-17_final
2020-02-02 11:26:43	ga_ls7e_ard_3-1-0_114081_2020-02-02_final
2020-02-18 11:25:53	ga_ls7e_ard_3-1-0_114081_2020-02-18_final
2020-03-05 11:25:02	ga_ls7e_ard_3-1-0_114081_2020-03-05_final
2020-03-21 11:24:10	ga_ls7e_ard_3-1-0_114081_2020-03-21_final
2020-04-06 11:23:15	ga_ls7e_ard_3-1-0_114081_2020-04-06_final
2020-04-22 11:22:20	ga_ls7e_ard_3-1-0_114081_2020-04-22_final
2020-05-08 11:21:22	ga_ls7e_ard_3-1-0_114081_2020-05-08_final
2020-06-09 11:19:27	ga_ls7e_ard_3-1-0_114081_2020-06-09_final
2020-06-25 11:18:30	ga_ls7e_ard_3-1-0_114081_2020-06-25_final
2020-07-11 11:17:32	ga_ls7e_ard_3-1-0_114081_2020-07-11_final
2020-07-27 11:16:33	ga_ls7e_ard_3-1-0_114081_2020-07-27_final
2020-08-28 11:14:31	ga_ls7e_ard_3-1-0_114081_2020-08-28_final
2020-09-13 11:13:28	ga_ls7e_ard_3-1-0_114081_2020-09-13_final
2020-09-29 11:12:25	ga_ls7e_ard_3-1-0_114081_2020-09-29_final
2020-11-16 11:09:15	ga_ls7e_ard_3-1-0_114081_2020-11-16_final
2020-12-02 11:08:06	ga_ls7e_ard_3-1-0_114081_2020-12-02_final
2020-12-18 11:06:54	ga_ls7e_ard_3-1-0_114081_2020-12-18_final
2021-01-03 11:05:46	ga_ls7e_ard_3-1-0_114081_2021-01-03_final
2021-02-04 11:03:28	ga_ls7e_ard_3-2-0_114081_2021-02-04_final
2021-02-20 11:02:16	ga_ls7e_ard_3-2-0_114081_2021-02-20_final
2021-03-08 11:01:02	ga_ls7e_ard_3-2-0_114081_2021-03-08_final
2021-03-24 10:59:46	ga_ls7e_ard_3-2-0_114081_2021-03-24_final
2021-04-09 10:58:27	ga_ls7e_ard_3-2-0_114081_2021-04-09_final
2021-04-25 10:57:06	ga_ls7e_ard_3-2-0_114081_2021-04-25_final
2021-06-12 10:53:04	ga_ls7e_ard_3-2-0_114081_2021-06-12_final
2021-08-15 10:47:35	ga_ls7e_ard_3-2-0_114081_2021-08-15_final
2021-09-16 10:44:48	ga_ls7e_ard_3-2-0_114081_2021-09-16_final
2021-11-03 10:40:29	ga_ls7e_ard_3-2-0_114081_2021-11-03_final
2021-11-19 10:38:56	ga_ls7e_ard_3-2-1_114081_2021-11-19_final
2021-12-05 10:37:25	ga_ls7e_ard_3-2-1_114081_2021-12-05_final
2022-01-06 10:34:17	ga_ls7e_ard_3-2-1_114081_2022-01-06_final
2022-01-22 10:32:46	ga_ls7e_ard_3-2-1_114081_2022-01-22_final
2022-02-07 10:31:11	ga_ls7e_ard_3-2-1_114081_2022-02-07_final
2022-02-23 10:29:35	ga_ls7e_ard_3-2-1_114081_2022-02-23_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