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
1999-10-17 09:44:08	ga_ls7e_ard_3-0-0_095084_1999-10-17_final
2000-05-12 09:42:31	ga_ls7e_ard_3-0-0_095082_2000-05-12_final
2000-11-04 09:41:33	ga_ls7e_ard_3-0-0_095084_2000-11-04_final
2000-11-20 09:40:19	ga_ls7e_ard_3-0-0_095081_2000-11-20_final
2000-12-06 09:41:29	ga_ls7e_ard_3-0-0_095084_2000-12-06_final
2001-01-07 09:40:02	ga_ls7e_ard_3-0-0_095080_2001-01-07_final
2001-03-28 09:39:45	ga_ls7e_ard_3-0-0_095080_2001-03-28_final
2001-04-29 09:40:05	ga_ls7e_ard_3-0-0_095081_2001-04-29_final
2001-06-16 09:39:34	ga_ls7e_ard_3-0-0_095081_2001-06-16_final
2001-10-06 09:37:51	ga_ls7e_ard_3-0-0_095080_2001-10-06_final
2001-12-25 09:37:53	ga_ls7e_ard_3-0-0_095079_2001-12-25_final
2002-01-10 09:39:57	ga_ls7e_ard_3-0-0_095084_2002-01-10_final
2002-06-03 09:39:48	ga_ls7e_ard_3-1-0_095084_2002-06-03_final
2002-09-07 09:38:46	ga_ls7e_ard_3-0-0_095083_2002-09-07_final
2002-09-23 09:38:34	ga_ls7e_ard_3-0-0_095083_2002-09-23_final
2002-11-10 09:37:05	ga_ls7e_ard_3-1-0_095079_2002-11-10_final
2005-02-03 09:38:41	ga_ls7e_ard_3-1-0_095079_2005-02-03_final
2005-10-01 09:37:52	ga_ls7e_ard_3-0-0_095078_2005-10-01_final
2006-09-02 09:38:24	ga_ls7e_ard_3-0-0_095078_2006-09-02_final
2008-04-16 09:39:19	ga_ls7e_ard_3-1-0_095079_2008-04-16_final
2009-01-29 09:38:34	ga_ls7e_ard_3-0-0_095078_2009-01-29_final
2011-04-09 09:42:01	ga_ls7e_ard_3-0-0_095077_2011-04-09_final
2011-05-11 09:41:59	ga_ls7e_ard_3-0-0_095077_2011-05-11_final
2011-05-11 09:42:23	ga_ls7e_ard_3-0-0_095078_2011-05-11_final
2011-08-15 09:42:36	ga_ls7e_ard_3-1-0_095079_2011-08-15_final
2011-09-16 09:42:04	ga_ls7e_ard_3-0-0_095078_2011-09-16_final
2012-09-18 09:44:15	ga_ls7e_ard_3-0-0_095078_2012-09-18_final
2012-11-21 09:44:47	ga_ls7e_ard_3-0-0_095078_2012-11-21_final
2013-03-13 09:44:32	ga_ls7e_ard_3-0-0_095077_2013-03-13_final
2013-03-13 09:45:20	ga_ls7e_ard_3-1-0_095079_2013-03-13_final
2013-03-29 09:44:50	ga_ls7e_ard_3-0-0_095078_2013-03-29_final
2013-06-01 09:44:08	ga_ls7e_ard_3-0-0_095077_2013-06-01_final
2013-06-17 09:45:39	ga_ls7e_ard_3-0-0_095081_2013-06-17_final
2013-08-04 09:44:03	ga_ls7e_ard_3-0-0_095078_2013-08-04_final
2013-09-05 09:44:20	ga_ls7e_ard_3-0-0_095078_2013-09-05_final
2013-11-24 09:45:26	ga_ls7e_ard_3-1-0_095079_2013-11-24_final
2014-05-03 09:46:25	ga_ls7e_ard_3-1-0_095079_2014-05-03_final
2014-09-08 09:46:51	ga_ls7e_ard_3-1-0_095079_2014-09-08_final
2014-09-24 09:46:57	ga_ls7e_ard_3-1-0_095079_2014-09-24_final
2014-10-10 09:46:45	ga_ls7e_ard_3-0-0_095078_2014-10-10_final
2014-11-11 09:47:03	ga_ls7e_ard_3-0-0_095078_2014-11-11_final
2015-03-19 09:49:00	ga_ls7e_ard_3-0-0_095081_2015-03-19_final
2015-09-27 09:48:46	ga_ls7e_ard_3-0-0_095078_2015-09-27_final
2016-06-25 09:51:22	ga_ls7e_ard_3-0-0_095078_2016-06-25_final
2017-02-04 09:50:47	ga_ls7e_ard_3-0-0_095078_2017-02-04_final
2017-02-20 09:50:48	ga_ls7e_ard_3-0-0_095078_2017-02-20_final
2017-08-31 09:51:25	ga_ls7e_ard_3-0-0_095078_2017-08-31_final
2018-04-12 09:49:36	ga_ls7e_ard_3-0-0_095078_2018-04-12_final
2018-08-02 09:47:37	ga_ls7e_ard_3-0-0_095078_2018-08-02_final
2018-08-18 09:47:19	ga_ls7e_ard_3-0-0_095078_2018-08-18_final
2018-08-18 09:47:43	ga_ls7e_ard_3-1-0_095079_2018-08-18_final
2018-12-08 09:45:07	ga_ls7e_ard_3-1-0_095079_2018-12-08_final
2019-01-09 09:43:47	ga_ls7e_ard_3-0-0_095078_2019-01-09_final
2019-06-18 09:38:18	ga_ls7e_ard_3-0-0_095078_2019-06-18_final
2019-07-20 09:37:05	ga_ls7e_ard_3-0-0_095078_2019-07-20_final
2019-10-08 09:33:42	ga_ls7e_ard_3-1-0_095078_2019-10-08_final
2019-10-08 09:34:06	ga_ls7e_ard_3-1-0_095079_2019-10-08_final
2020-05-03 09:23:03	ga_ls7e_ard_3-1-0_095078_2020-05-02_final
2020-06-04 09:21:31	ga_ls7e_ard_3-1-0_095079_2020-06-03_final
2020-07-22 09:18:15	ga_ls7e_ard_3-1-0_095078_2020-07-21_final
2021-02-10 10:24:21	ga_ls7e_ard_3-2-0_108077_2021-02-10_final
2021-03-05 08:51:53	ga_ls7e_ard_3-2-0_093082_2021-03-04_final
2021-03-14 10:22:17	ga_ls7e_ard_3-2-0_108078_2021-03-14_final
2021-03-23 10:15:23	ga_ls7e_ard_3-2-0_107078_2021-03-23_final
2021-03-24 09:20:53	ga_ls7e_ard_3-2-0_098081_2021-03-23_final
2021-04-07 09:28:54	ga_ls7e_ard_3-2-0_100073_2021-04-06_final
2021-04-11 10:44:43	ga_ls7e_ard_3-2-0_112078_2021-04-11_final
2021-04-20 08:58:54	ga_ls7e_ard_3-2-0_095078_2021-04-19_final
2021-04-27 10:42:58	ga_ls7e_ard_3-2-0_112077_2021-04-27_final
2021-05-09 09:26:13	ga_ls7e_ard_3-2-0_100073_2021-05-08_final
2021-05-13 09:02:45	ga_ls7e_ard_3-2-0_096077_2021-05-12_final
2021-05-17 10:16:35	ga_ls7e_ard_3-2-0_108077_2021-05-17_final
2021-06-07 08:54:52	ga_ls7e_ard_3-2-0_095078_2021-06-06_final
2021-06-14 10:39:21	ga_ls7e_ard_3-2-0_112078_2021-06-14_final
2021-06-30 10:38:26	ga_ls7e_ard_3-2-0_112079_2021-06-30_final
2021-07-20 10:11:12	ga_ls7e_ard_3-2-0_108077_2021-07-20_final
2021-08-12 08:37:17	ga_ls7e_ard_3-2-0_093079_2021-08-11_final
2021-08-18 09:38:33	ga_ls7e_ard_3-2-0_103079_2021-08-18_final
2021-08-19 08:41:15	ga_ls7e_ard_3-2-0_094075_2021-08-18_final
2021-08-25 09:44:32	ga_ls7e_ard_3-2-0_104080_2021-08-25_final
2021-08-26 08:47:37	ga_ls7e_ard_3-2-0_095077_2021-08-25_final
2021-08-26 08:48:25	ga_ls7e_ard_3-2-0_095079_2021-08-25_final
2021-08-26 10:27:42	ga_ls7e_ard_3-2-0_111080_2021-08-26_final
2021-08-31 09:04:56	ga_ls7e_ard_3-2-0_098075_2021-08-30_final
2021-09-08 08:16:48	ga_ls7e_ard_3-2-0_090080_2021-09-07_final
2021-09-18 10:31:28	ga_ls7e_ard_3-2-0_112079_2021-09-18_final
2021-09-18 10:31:52	ga_ls7e_ard_3-2-0_112080_2021-09-18_final
2021-09-20 08:40:03	ga_ls7e_ard_3-2-0_094079_2021-09-19_final
2021-09-27 08:45:12	ga_ls7e_ard_3-2-0_095078_2021-09-26_final
2021-09-27 08:45:36	ga_ls7e_ard_3-2-0_095079_2021-09-26_final
2021-10-05 09:34:20	ga_ls7e_ard_3-2-0_103079_2021-10-05_final
2021-11-05 08:47:04	ga_ls7e_ard_3-2-0_096076_2021-11-04_final
2021-12-11 10:00:58	ga_ls7e_ard_3-2-1_108084_2021-12-11_final
2021-12-20 09:51:32	ga_ls7e_ard_3-2-1_107078_2021-12-20_final
2022-01-08 08:40:52	ga_ls7e_ard_3-2-1_096076_2022-01-07_final
2022-02-02 10:12:21	ga_ls7e_ard_3-2-1_111079_2022-02-02_final
2022-03-13 08:34:35	ga_ls7e_ard_3-2-1_096076_2022-03-12_final
2022-03-14 09:17:20	ga_ls7e_ard_3-2-1_103075_2022-03-13_final
2022-03-24 09:55:27	ga_ls7e_ard_3-2-1_109080_2022-03-24_final
2022-03-29 08:33:02	ga_ls7e_ard_3-2-1_096076_2022-03-28_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years