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 09:44:32	ga_ls7e_ard_3-0-0_095085_1999-10-17_final
2000-04-26 09:43:07	ga_ls7e_ard_3-0-0_095083_2000-04-26_final
2001-12-09 09:39:47	ga_ls7e_ard_3-0-0_095084_2001-12-09_final
2002-11-26 09:36:59	ga_ls7e_ard_3-0-0_095078_2002-11-26_final
2002-12-28 09:37:09	ga_ls7e_ard_3-0-0_095078_2002-12-28_final
2003-01-13 09:37:36	ga_ls7e_ard_3-1-0_095079_2003-01-13_final
2003-05-05 09:37:34	ga_ls7e_ard_3-0-0_095078_2003-05-05_final
2003-05-21 09:37:28	ga_ls7e_ard_3-0-0_095078_2003-05-21_final
2005-02-03 09:38:41	ga_ls7e_ard_3-1-0_095079_2005-02-03_final
2005-03-23 09:38:05	ga_ls7e_ard_3-0-0_095077_2005-03-23_final
2005-06-27 09:38:12	ga_ls7e_ard_3-0-0_095078_2005-06-27_final
2005-10-17 09:37:33	ga_ls7e_ard_3-0-0_095077_2005-10-17_final
2005-11-02 09:38:09	ga_ls7e_ard_3-0-0_095078_2005-11-02_final
2006-01-05 09:38:11	ga_ls7e_ard_3-0-0_095077_2006-01-05_final
2006-02-22 09:38:53	ga_ls7e_ard_3-0-0_095078_2006-02-22_final
2006-04-27 09:39:13	ga_ls7e_ard_3-1-0_095079_2006-04-27_final
2006-11-21 09:38:47	ga_ls7e_ard_3-0-0_095078_2006-11-21_final
2009-01-29 09:38:10	ga_ls7e_ard_3-0-0_095077_2009-01-29_final
2009-03-18 09:38:58	ga_ls7e_ard_3-0-0_095078_2009-03-18_final
2009-08-09 09:39:23	ga_ls7e_ard_3-1-0_095079_2009-08-09_final
2009-12-15 09:39:47	ga_ls7e_ard_3-0-0_095078_2009-12-15_final
2011-05-11 09:42:23	ga_ls7e_ard_3-0-0_095078_2011-05-11_final
2011-10-02 09:42:27	ga_ls7e_ard_3-1-0_095079_2011-10-02_final
2012-01-06 09:42:25	ga_ls7e_ard_3-0-0_095077_2012-01-06_final
2012-04-11 09:42:02	ga_ls7e_ard_3-0-0_095076_2012-04-11_final
2012-04-11 09:42:50	ga_ls7e_ard_3-0-0_095078_2012-04-11_final
2012-06-14 09:44:24	ga_ls7e_ard_3-0-0_095081_2012-06-14_final
2012-09-18 09:44:15	ga_ls7e_ard_3-0-0_095078_2012-09-18_final
2012-10-20 09:44:59	ga_ls7e_ard_3-1-0_095079_2012-10-20_final
2013-07-19 09:45:45	ga_ls7e_ard_3-0-0_095082_2013-07-19_final
2013-08-20 09:45:20	ga_ls7e_ard_3-0-0_095081_2013-08-20_final
2013-09-05 09:44:44	ga_ls7e_ard_3-1-0_095079_2013-09-05_final
2013-10-07 09:44:42	ga_ls7e_ard_3-0-0_095078_2013-10-07_final
2013-12-10 09:45:33	ga_ls7e_ard_3-1-0_095079_2013-12-10_final
2014-03-16 09:46:04	ga_ls7e_ard_3-1-0_095079_2014-03-16_final
2014-10-10 09:45:57	ga_ls7e_ard_3-0-0_095076_2014-10-10_final
2015-03-19 09:48:12	ga_ls7e_ard_3-1-0_095079_2015-03-19_final
2015-04-04 09:48:18	ga_ls7e_ard_3-1-0_095079_2015-04-04_final
2015-05-06 09:47:20	ga_ls7e_ard_3-0-0_095076_2015-05-06_final
2015-09-27 09:47:58	ga_ls7e_ard_3-0-0_095076_2015-09-27_final
2016-10-31 09:50:40	ga_ls7e_ard_3-0-0_095076_2016-10-31_final
2017-05-11 09:51:16	ga_ls7e_ard_3-0-0_095078_2017-05-11_final
2017-06-12 09:51:24	ga_ls7e_ard_3-0-0_095078_2017-06-12_final
2017-07-14 09:51:51	ga_ls7e_ard_3-1-0_095079_2017-07-14_final
2017-07-30 09:50:38	ga_ls7e_ard_3-0-0_095076_2017-07-30_final
2017-10-02 09:51:24	ga_ls7e_ard_3-0-0_095078_2017-10-02_final
2018-08-18 09:47:43	ga_ls7e_ard_3-1-0_095079_2018-08-18_final
2018-10-05 09:46:39	ga_ls7e_ard_3-1-0_095079_2018-10-05_final
2019-04-15 09:40:41	ga_ls7e_ard_3-0-0_095078_2019-04-15_final
2019-06-18 09:38:18	ga_ls7e_ard_3-0-0_095078_2019-06-18_final
2019-07-04 09:38:06	ga_ls7e_ard_3-1-0_095079_2019-07-04_final
2019-12-27 09:29:34	ga_ls7e_ard_3-1-0_095077_2019-12-26_final
2020-06-04 09:21:31	ga_ls7e_ard_3-1-0_095079_2020-06-03_final
2021-01-21 09:10:52	ga_ls7e_ard_3-2-0_096075_2021-01-20_final
2021-02-09 09:41:58	ga_ls7e_ard_3-2-0_101079_2021-02-09_final
2021-02-25 09:40:45	ga_ls7e_ard_3-2-0_101079_2021-02-25_final
2021-03-17 09:12:52	ga_ls7e_ard_3-2-0_097075_2021-03-16_final
2021-03-21 10:28:18	ga_ls7e_ard_3-2-0_109079_2021-03-21_final
2021-03-28 08:53:27	ga_ls7e_ard_3-2-0_094075_2021-03-27_final
2021-03-28 10:33:55	ga_ls7e_ard_3-2-0_110079_2021-03-28_final
2021-03-29 09:38:13	ga_ls7e_ard_3-2-0_101079_2021-03-29_final
2021-04-05 09:42:37	ga_ls7e_ard_3-2-0_102076_2021-04-05_final
2021-04-11 09:05:27	ga_ls7e_ard_3-2-0_096077_2021-04-10_final
2021-04-11 10:44:43	ga_ls7e_ard_3-2-0_112078_2021-04-11_final
2021-04-13 08:52:07	ga_ls7e_ard_3-2-0_094075_2021-04-12_final
2021-05-06 08:57:10	ga_ls7e_ard_3-2-0_095077_2021-05-05_final
2021-06-23 10:32:26	ga_ls7e_ard_3-2-0_111078_2021-06-23_final
2021-06-25 10:20:18	ga_ls7e_ard_3-2-0_109079_2021-06-25_final
2021-06-30 10:38:02	ga_ls7e_ard_3-2-0_112078_2021-06-30_final
2021-07-09 08:52:13	ga_ls7e_ard_3-2-0_095078_2021-07-08_final
2021-07-09 10:31:05	ga_ls7e_ard_3-2-0_111078_2021-07-09_final
2021-07-16 08:57:00	ga_ls7e_ard_3-2-0_096076_2021-07-15_final
2021-07-25 08:50:50	ga_ls7e_ard_3-2-0_095078_2021-07-24_final
2021-08-10 08:48:37	ga_ls7e_ard_3-2-0_095076_2021-08-09_final
2021-08-17 08:53:47	ga_ls7e_ard_3-2-0_096075_2021-08-16_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
2021-09-04 10:20:21	ga_ls7e_ard_3-2-0_110079_2021-09-04_final
2021-09-09 08:57:58	ga_ls7e_ard_3-2-0_097075_2021-09-08_final
2021-09-09 08:59:58	ga_ls7e_ard_3-2-0_097080_2021-09-08_final
2021-09-11 08:46:38	ga_ls7e_ard_3-2-0_095078_2021-09-10_final
2021-09-20 08:40:03	ga_ls7e_ard_3-2-0_094079_2021-09-19_final
2021-09-20 10:18:56	ga_ls7e_ard_3-2-0_110079_2021-09-20_final
2021-09-22 10:05:35	ga_ls7e_ard_3-2-0_108077_2021-09-22_final
2021-09-25 08:56:32	ga_ls7e_ard_3-2-0_097075_2021-09-24_final
2021-10-04 08:49:58	ga_ls7e_ard_3-2-0_096076_2021-10-03_final
2021-10-04 10:29:14	ga_ls7e_ard_3-2-0_112077_2021-10-04_final
2021-10-08 10:04:10	ga_ls7e_ard_3-2-0_108077_2021-10-08_final
2021-10-12 09:39:54	ga_ls7e_ard_3-2-0_104079_2021-10-12_final
2021-10-13 10:23:04	ga_ls7e_ard_3-2-0_111079_2021-10-13_final
2021-10-21 09:31:19	ga_ls7e_ard_3-2-0_103075_2021-10-21_final
2021-10-27 08:53:41	ga_ls7e_ard_3-2-0_097075_2021-10-26_final
2021-10-27 10:33:22	ga_ls7e_ard_3-2-0_113077_2021-10-27_final
2021-11-14 08:40:49	ga_ls7e_ard_3-2-1_095078_2021-11-13_final
2021-12-02 08:28:20	ga_ls7e_ard_3-2-1_093082_2021-12-01_final
2021-12-28 08:59:42	ga_ls7e_ard_3-2-1_099074_2021-12-27_final
2022-02-09 08:37:44	ga_ls7e_ard_3-2-1_096076_2022-02-08_final
2022-02-20 08:20:29	ga_ls7e_ard_3-2-1_093082_2022-02-19_final
2022-03-06 08:29:30	ga_ls7e_ard_3-2-1_095077_2022-03-05_final
2022-03-15 08:23:13	ga_ls7e_ard_3-2-1_094079_2022-03-14_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