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
1999-09-15 09:44:49	ga_ls7e_ard_3-0-0_095086_1999-09-15_final
1999-10-17 09:44:56	ga_ls7e_ard_3-0-0_095086_1999-10-17_final
1999-12-20 09:40:56	ga_ls7e_ard_3-0-0_095076_1999-12-20_final
2000-04-26 09:42:43	ga_ls7e_ard_3-0-0_095082_2000-04-26_final
2000-08-21 11:36:27	ga_ls7e_ard_3-0-0_114076_2000-08-21_final
2000-08-21 11:36:51	ga_ls7e_ard_3-0-0_114077_2000-08-21_final
2000-10-03 09:38:26	ga_ls7e_ard_3-0-0_095076_2000-10-03_final
2001-02-20 11:43:12	ga_ls7e_ard_3-0-0_115079_2001-02-20_final
2001-07-23 11:36:18	ga_ls7e_ard_3-0-0_114080_2001-07-23_final
2001-08-19 09:38:49	ga_ls7e_ard_3-0-0_095081_2001-08-19_final
2001-09-25 11:33:29	ga_ls7e_ard_3-0-0_114075_2001-09-25_final
2001-12-09 09:39:47	ga_ls7e_ard_3-0-0_095084_2001-12-09_final
2002-02-27 09:36:57	ga_ls7e_ard_3-0-0_095076_2002-02-27_final
2002-05-02 09:40:02	ga_ls7e_ard_3-0-0_095084_2002-05-02_final
2003-01-13 09:37:36	ga_ls7e_ard_3-1-0_095079_2003-01-13_final
2003-04-19 09:39:56	ga_ls7e_ard_3-0-0_095084_2003-04-19_final
2003-11-29 09:37:52	ga_ls7e_ard_3-1-0_095079_2003-11-29_final
2005-07-18 11:34:51	ga_ls7e_ard_3-0-0_114076_2005-07-18_final
2006-03-26 09:39:17	ga_ls7e_ard_3-1-0_095079_2006-03-26_final
2006-10-20 09:38:21	ga_ls7e_ard_3-0-0_095078_2006-10-20_final
2007-02-09 09:38:47	ga_ls7e_ard_3-0-0_095077_2007-02-09_final
2007-02-25 09:38:52	ga_ls7e_ard_3-0-0_095077_2007-02-25_final
2007-06-01 09:41:03	ga_ls7e_ard_3-0-0_095083_2007-06-01_final
2007-08-20 09:39:12	ga_ls7e_ard_3-1-0_095079_2007-08-20_final
2008-03-31 09:38:57	ga_ls7e_ard_3-0-0_095078_2008-03-31_final
2008-06-19 09:38:30	ga_ls7e_ard_3-0-0_095078_2008-06-19_final
2009-09-26 09:38:32	ga_ls7e_ard_3-0-0_095077_2009-09-26_final
2010-05-08 09:41:45	ga_ls7e_ard_3-0-0_095080_2010-05-08_final
2010-05-24 09:40:31	ga_ls7e_ard_3-0-0_095077_2010-05-24_final
2010-08-28 09:40:40	ga_ls7e_ard_3-0-0_095077_2010-08-28_final
2011-06-28 09:41:55	ga_ls7e_ard_3-0-0_095077_2011-06-28_final
2011-12-21 09:42:17	ga_ls7e_ard_3-0-0_095077_2011-12-21_final
2012-01-06 09:42:25	ga_ls7e_ard_3-0-0_095077_2012-01-06_final
2012-03-10 09:42:53	ga_ls7e_ard_3-0-0_095078_2012-03-10_final
2012-04-11 09:42:50	ga_ls7e_ard_3-0-0_095078_2012-04-11_final
2013-05-12 11:48:40	ga_ls7e_ard_3-0-0_115079_2013-05-12_final
2013-12-10 09:45:09	ga_ls7e_ard_3-0-0_095078_2013-12-10_final
2013-12-10 09:45:33	ga_ls7e_ard_3-1-0_095079_2013-12-10_final
2014-03-16 09:45:16	ga_ls7e_ard_3-0-0_095077_2014-03-16_final
2014-08-03 11:49:39	ga_ls7e_ard_3-1-0_115077_2014-08-03_final
2014-09-08 09:46:51	ga_ls7e_ard_3-1-0_095079_2014-09-08_final
2014-11-11 09:49:27	ga_ls7e_ard_3-0-0_095084_2014-11-11_final
2015-09-27 09:47:58	ga_ls7e_ard_3-0-0_095076_2015-09-27_final
2016-02-18 09:50:40	ga_ls7e_ard_3-0-0_095078_2016-02-18_final
2016-08-17 11:48:03	ga_ls7e_ard_3-0-0_114076_2016-08-17_final
2017-02-04 09:51:11	ga_ls7e_ard_3-1-0_095079_2017-02-04_final
2017-05-11 09:53:16	ga_ls7e_ard_3-0-0_095083_2017-05-11_final
2017-07-30 09:53:26	ga_ls7e_ard_3-0-0_095083_2017-07-30_final
2017-08-31 09:51:25	ga_ls7e_ard_3-0-0_095078_2017-08-31_final
2017-08-31 09:52:12	ga_ls7e_ard_3-0-0_095080_2017-08-31_final
2017-09-16 09:50:11	ga_ls7e_ard_3-0-0_095075_2017-09-16_final
2017-09-16 09:50:59	ga_ls7e_ard_3-0-0_095077_2017-09-16_final
2018-06-27 11:52:17	ga_ls7e_ard_3-0-0_115079_2018-06-27_final
2018-09-03 09:47:23	ga_ls7e_ard_3-0-0_095079_2018-09-03_final
2019-02-10 09:42:23	ga_ls7e_ard_3-0-0_095077_2019-02-10_final
2019-06-18 09:38:42	ga_ls7e_ard_3-1-0_095079_2019-06-18_final
2019-10-24 09:32:14	ga_ls7e_ard_3-1-0_095076_2019-10-24_final
2019-11-25 09:30:46	ga_ls7e_ard_3-1-0_095076_2019-11-25_final
2019-12-27 09:29:34	ga_ls7e_ard_3-1-0_095077_2019-12-26_final
2019-12-27 09:30:21	ga_ls7e_ard_3-1-0_095079_2019-12-27_final
2021-01-21 09:10:52	ga_ls7e_ard_3-2-0_096075_2021-01-20_final
2021-02-15 09:06:02	ga_ls7e_ard_3-2-0_095083_2021-02-14_final
2021-02-22 10:48:34	ga_ls7e_ard_3-2-0_112078_2021-02-22_final
2021-03-04 09:45:59	ga_ls7e_ard_3-2-0_102078_2021-03-04_final
2021-03-17 09:12:04	ga_ls7e_ard_3-2-0_097073_2021-03-16_final
2021-03-18 09:56:51	ga_ls7e_ard_3-2-0_104077_2021-03-18_final
2021-03-19 10:40:02	ga_ls7e_ard_3-2-0_111077_2021-03-19_final
2021-03-26 10:45:39	ga_ls7e_ard_3-2-0_112077_2021-03-26_final
2021-04-03 09:55:57	ga_ls7e_ard_3-2-0_104078_2021-04-03_final
2021-04-14 09:34:06	ga_ls7e_ard_3-2-0_101072_2021-04-14_final
2021-04-19 09:52:13	ga_ls7e_ard_3-2-0_104072_2021-04-19_final
2021-04-24 10:14:19	ga_ls7e_ard_3-2-0_107082_2021-04-24_final
2021-04-25 09:15:49	ga_ls7e_ard_3-2-0_098075_2021-04-24_final
2021-04-27 10:43:46	ga_ls7e_ard_3-2-0_112079_2021-04-27_final
2021-04-29 08:53:57	ga_ls7e_ard_3-2-0_094083_2021-04-28_final
2021-04-30 09:35:32	ga_ls7e_ard_3-2-0_101079_2021-04-30_final
2021-05-13 10:41:14	ga_ls7e_ard_3-2-0_112076_2021-05-13_final
2021-05-13 10:42:02	ga_ls7e_ard_3-2-0_112078_2021-05-13_final
2021-06-21 09:04:53	ga_ls7e_ard_3-2-0_097075_2021-06-20_final
2021-07-10 09:35:23	ga_ls7e_ard_3-2-0_102078_2021-07-10_final
2021-08-01 10:35:41	ga_ls7e_ard_3-2-0_112079_2021-08-01_final
2021-08-24 09:02:33	ga_ls7e_ard_3-2-0_097083_2021-08-23_final
2021-08-25 09:43:44	ga_ls7e_ard_3-2-0_104078_2021-08-25_final
2021-08-26 08:48:25	ga_ls7e_ard_3-2-0_095079_2021-08-25_final
2021-08-27 09:28:48	ga_ls7e_ard_3-2-0_102072_2021-08-26_final
2021-09-10 09:42:44	ga_ls7e_ard_3-2-0_104079_2021-09-10_final
2021-09-10 09:43:32	ga_ls7e_ard_3-2-0_104081_2021-09-10_final
2021-09-12 09:29:00	ga_ls7e_ard_3-2-0_102076_2021-09-11_final
2021-09-29 10:12:20	ga_ls7e_ard_3-2-0_109080_2021-09-29_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-04 08:49:34	ga_ls7e_ard_3-2-0_096075_2021-10-03_final
2021-10-18 09:00:41	ga_ls7e_ard_3-2-0_098075_2021-10-17_final
2021-10-28 09:38:27	ga_ls7e_ard_3-2-0_104079_2021-10-28_final
2021-11-12 10:31:51	ga_ls7e_ard_3-2-1_113077_2021-11-12_final
2021-12-11 10:00:58	ga_ls7e_ard_3-2-1_108084_2021-12-11_final
2022-01-10 08:29:31	ga_ls7e_ard_3-2-1_094079_2022-01-09_final
2022-02-02 10:12:21	ga_ls7e_ard_3-2-1_111079_2022-02-02_final
2022-02-25 10:15:26	ga_ls7e_ard_3-2-1_112077_2022-02-25_final
2022-03-01 09:49:56	ga_ls7e_ard_3-2-1_108076_2022-03-01_final
2022-03-22 08:27:31	ga_ls7e_ard_3-2-1_095076_2022-03-21_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