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
2000-04-10 09:42:22	ga_ls7e_ard_3-0-0_095081_2000-04-10_final
2001-01-07 09:39:14	ga_ls7e_ard_3-0-0_095078_2001-01-07_final
2002-02-11 09:39:42	ga_ls7e_ard_3-0-0_095083_2002-02-11_final
2002-02-27 09:39:45	ga_ls7e_ard_3-0-0_095083_2002-02-27_final
2002-03-31 09:41:11	ga_ls7e_ard_3-0-0_095087_2002-03-31_final
2002-05-02 09:40:02	ga_ls7e_ard_3-0-0_095084_2002-05-02_final
2002-07-21 09:37:29	ga_ls7e_ard_3-1-0_095079_2002-07-21_final
2002-08-06 09:37:22	ga_ls7e_ard_3-1-0_095079_2002-08-06_final
2002-11-10 09:37:05	ga_ls7e_ard_3-1-0_095079_2002-11-10_final
2003-01-29 09:37:42	ga_ls7e_ard_3-1-0_095079_2003-01-29_final
2003-03-02 09:40:17	ga_ls7e_ard_3-0-0_095085_2003-03-02_final
2003-04-03 09:40:19	ga_ls7e_ard_3-0-0_095085_2003-04-03_final
2004-03-20 09:37:40	ga_ls7e_ard_3-0-0_095077_2004-03-20_final
2005-02-03 09:38:17	ga_ls7e_ard_3-0-0_095078_2005-02-03_final
2006-02-22 09:38:53	ga_ls7e_ard_3-0-0_095078_2006-02-22_final
2006-06-30 09:38:18	ga_ls7e_ard_3-0-0_095077_2006-06-30_final
2007-05-16 09:39:10	ga_ls7e_ard_3-0-0_095078_2007-05-16_final
2007-06-01 09:39:03	ga_ls7e_ard_3-0-0_095078_2007-06-01_final
2007-07-03 09:38:38	ga_ls7e_ard_3-0-0_095077_2007-07-03_final
2007-07-03 09:39:02	ga_ls7e_ard_3-0-0_095078_2007-07-03_final
2007-08-20 09:39:36	ga_ls7e_ard_3-0-0_095080_2007-08-20_final
2008-03-15 09:38:56	ga_ls7e_ard_3-0-0_095078_2008-03-15_final
2008-08-06 09:38:01	ga_ls7e_ard_3-0-0_095078_2008-08-06_final
2010-01-16 09:39:32	ga_ls7e_ard_3-0-0_095076_2010-01-16_final
2010-07-11 09:40:37	ga_ls7e_ard_3-0-0_095077_2010-07-11_final
2011-03-08 09:41:57	ga_ls7e_ard_3-0-0_095077_2011-03-08_final
2011-04-09 09:42:49	ga_ls7e_ard_3-1-0_095079_2011-04-09_final
2011-05-11 09:42:23	ga_ls7e_ard_3-0-0_095078_2011-05-11_final
2011-08-15 09:43:00	ga_ls7e_ard_3-0-0_095080_2011-08-15_final
2011-08-31 09:42:58	ga_ls7e_ard_3-0-0_095080_2011-08-31_final
2011-08-31 09:43:22	ga_ls7e_ard_3-0-0_095081_2011-08-31_final
2012-03-10 09:42:53	ga_ls7e_ard_3-0-0_095078_2012-03-10_final
2012-03-26 09:42:07	ga_ls7e_ard_3-0-0_095076_2012-03-26_final
2012-07-16 09:43:35	ga_ls7e_ard_3-0-0_095078_2012-07-16_final
2012-08-17 09:44:21	ga_ls7e_ard_3-1-0_095079_2012-08-17_final
2012-12-23 09:44:56	ga_ls7e_ard_3-0-0_095078_2012-12-23_final
2013-01-08 09:46:09	ga_ls7e_ard_3-0-0_095081_2013-01-08_final
2013-02-25 09:45:21	ga_ls7e_ard_3-1-0_095079_2013-02-25_final
2013-08-20 09:44:32	ga_ls7e_ard_3-1-0_095079_2013-08-20_final
2013-10-07 09:46:42	ga_ls7e_ard_3-0-0_095083_2013-10-07_final
2013-10-23 09:46:03	ga_ls7e_ard_3-0-0_095081_2013-10-23_final
2014-02-12 09:46:01	ga_ls7e_ard_3-1-0_095079_2014-02-12_final
2014-05-19 09:47:20	ga_ls7e_ard_3-0-0_095081_2014-05-19_final
2015-09-11 09:49:54	ga_ls7e_ard_3-0-0_095081_2015-09-11_final
2016-12-02 09:51:42	ga_ls7e_ard_3-1-0_095079_2016-12-02_final
2017-05-11 09:53:16	ga_ls7e_ard_3-0-0_095083_2017-05-11_final
2017-07-30 09:50:38	ga_ls7e_ard_3-0-0_095076_2017-07-30_final
2018-05-14 09:49:02	ga_ls7e_ard_3-0-0_095078_2018-05-14_final
2018-09-03 09:47:23	ga_ls7e_ard_3-0-0_095079_2018-09-03_final
2018-12-24 09:44:40	ga_ls7e_ard_3-1-0_095079_2018-12-24_final
2021-02-17 08:53:55	ga_ls7e_ard_3-2-0_093084_2021-02-16_final
2021-02-22 10:48:10	ga_ls7e_ard_3-2-0_112077_2021-02-22_final
2021-02-23 09:53:16	ga_ls7e_ard_3-2-0_103079_2021-02-23_final
2021-03-01 09:14:08	ga_ls7e_ard_3-2-0_097075_2021-02-28_final
2021-03-10 10:46:31	ga_ls7e_ard_3-2-0_112076_2021-03-10_final
2021-03-17 09:12:04	ga_ls7e_ard_3-2-0_097073_2021-03-16_final
2021-03-17 10:52:09	ga_ls7e_ard_3-2-0_113076_2021-03-17_final
2021-03-17 10:52:33	ga_ls7e_ard_3-2-0_113077_2021-03-17_final
2021-03-18 09:56:51	ga_ls7e_ard_3-2-0_104077_2021-03-18_final
2021-03-29 09:38:37	ga_ls7e_ard_3-2-0_101080_2021-03-29_final
2021-04-13 08:52:07	ga_ls7e_ard_3-2-0_094075_2021-04-12_final
2021-04-13 10:31:48	ga_ls7e_ard_3-2-0_110077_2021-04-13_final
2021-04-16 09:22:22	ga_ls7e_ard_3-2-0_099074_2021-04-15_final
2021-04-19 09:55:01	ga_ls7e_ard_3-2-0_104079_2021-04-19_final
2021-04-27 10:42:58	ga_ls7e_ard_3-2-0_112077_2021-04-27_final
2021-04-27 10:43:46	ga_ls7e_ard_3-2-0_112079_2021-04-27_final
2021-05-13 10:41:14	ga_ls7e_ard_3-2-0_112076_2021-05-13_final
2021-05-14 09:45:08	ga_ls7e_ard_3-2-0_103075_2021-05-14_final
2021-05-23 09:36:59	ga_ls7e_ard_3-2-0_102072_2021-05-23_final
2021-06-06 09:51:45	ga_ls7e_ard_3-2-0_104081_2021-06-06_final
2021-06-21 09:04:53	ga_ls7e_ard_3-2-0_097075_2021-06-20_final
2021-06-25 10:20:18	ga_ls7e_ard_3-2-0_109079_2021-06-25_final
2021-06-30 09:00:45	ga_ls7e_ard_3-2-0_096082_2021-06-29_final
2021-07-10 09:34:35	ga_ls7e_ard_3-2-0_102076_2021-07-10_final
2021-07-16 08:57:00	ga_ls7e_ard_3-2-0_096076_2021-07-15_final
2021-07-20 10:11:36	ga_ls7e_ard_3-2-0_108078_2021-07-20_final
2021-08-03 10:22:21	ga_ls7e_ard_3-2-0_110077_2021-08-03_final
2021-08-07 08:19:59	ga_ls7e_ard_3-2-0_090081_2021-08-06_final
2021-08-09 09:43:32	ga_ls7e_ard_3-2-0_104074_2021-08-09_final
2021-08-19 08:41:15	ga_ls7e_ard_3-2-0_094075_2021-08-18_final
2021-08-21 08:30:19	ga_ls7e_ard_3-2-0_092079_2021-08-20_final
2021-08-26 08:48:25	ga_ls7e_ard_3-2-0_095079_2021-08-25_final
2021-09-06 08:28:56	ga_ls7e_ard_3-2-0_092079_2021-09-05_final
2021-09-08 09:54:52	ga_ls7e_ard_3-2-0_106078_2021-09-08_final
2021-09-10 09:43:08	ga_ls7e_ard_3-2-0_104080_2021-09-10_final
2021-09-18 10:31:04	ga_ls7e_ard_3-2-0_112078_2021-09-18_final
2021-09-24 08:16:34	ga_ls7e_ard_3-2-0_090083_2021-09-23_final
2021-09-27 10:20:05	ga_ls7e_ard_3-2-0_111068_2021-09-27_final
2021-10-03 09:47:16	ga_ls7e_ard_3-2-0_105080_2021-10-03_final
2021-10-04 08:49:58	ga_ls7e_ard_3-2-0_096076_2021-10-03_final
2021-10-06 10:17:06	ga_ls7e_ard_3-2-0_110078_2021-10-06_final
2021-10-06 10:17:30	ga_ls7e_ard_3-2-0_110079_2021-10-06_final
2021-10-13 10:22:16	ga_ls7e_ard_3-2-0_111077_2021-10-13_final
2021-10-22 08:36:24	ga_ls7e_ard_3-2-0_094077_2021-10-21_final
2022-01-31 08:46:50	ga_ls7e_ard_3-2-1_097081_2022-01-30_final
2022-02-02 10:12:21	ga_ls7e_ard_3-2-1_111079_2022-02-02_final
2022-02-12 09:09:31	ga_ls7e_ard_3-2-1_101079_2022-02-11_final
2022-02-19 09:15:24	ga_ls7e_ard_3-2-1_102080_2022-02-18_final
2022-02-20 08:20:29	ga_ls7e_ard_3-2-1_093082_2022-02-19_final
2022-03-01 09:49:56	ga_ls7e_ard_3-2-1_108076_2022-03-01_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