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
1999-08-23 11:15:35	ga_ls7e_ard_3-0-0_110081_1999-08-23_final
2000-02-29 11:24:54	ga_ls7e_ard_3-0-0_112074_2000-02-29_final
2000-07-30 08:58:19	ga_ls7e_ard_3-0-0_088082_2000-07-29_final
2000-08-09 11:13:46	ga_ls7e_ard_3-0-0_110081_2000-08-09_final
2000-11-13 11:10:15	ga_ls7e_ard_3-0-0_110074_2000-11-13_final
2002-04-09 11:09:07	ga_ls7e_ard_3-0-0_110075_2002-04-09_final
2002-08-06 11:13:51	ga_ls7e_ard_3-0-0_111073_2002-08-06_final
2002-09-07 11:13:40	ga_ls7e_ard_3-0-0_111073_2002-09-07_final
2002-11-22 11:40:32	ga_ls7e_ard_3-0-0_115078_2002-11-22_final
2003-03-18 11:14:48	ga_ls7e_ard_3-0-0_111074_2003-03-18_final
2003-08-25 09:39:59	ga_ls7e_ard_3-0-0_095085_2003-08-25_final
2003-10-12 11:11:23	ga_ls7e_ard_3-0-0_111067_2003-10-12_final
2004-01-16 09:38:56	ga_ls7e_ard_3-0-0_095081_2004-01-16_final
2004-05-07 09:35:35	ga_ls7e_ard_3-0-0_095072_2004-05-07_final
2004-06-24 11:14:18	ga_ls7e_ard_3-0-0_111072_2004-06-24_final
2004-08-04 11:12:18	ga_ls7e_ard_3-0-0_110083_2004-08-04_final
2004-09-26 11:30:38	ga_ls7e_ard_3-0-0_113083_2004-09-26_final
2004-10-14 11:12:16	ga_ls7e_ard_3-0-0_111068_2004-10-14_final
2004-11-22 11:21:17	ga_ls7e_ard_3-0-0_112074_2004-11-22_final
2004-11-24 11:08:33	ga_ls7e_ard_3-0-0_110073_2004-11-24_final
2005-02-28 11:12:46	ga_ls7e_ard_3-0-0_110082_2005-02-28_final
2005-06-25 11:27:51	ga_ls7e_ard_3-0-0_113074_2005-06-25_final
2005-10-26 11:12:22	ga_ls7e_ard_3-0-0_110082_2005-10-26_final
2006-01-05 11:15:28	ga_ls7e_ard_3-0-0_111073_2006-01-05_final
2006-06-29 08:57:03	ga_ls7e_ard_3-0-0_088082_2006-06-28_final
2006-06-30 11:16:00	ga_ls7e_ard_3-0-0_111074_2006-06-30_final
2006-09-27 11:12:09	ga_ls7e_ard_3-0-0_110081_2006-09-27_final
2006-12-23 09:36:36	ga_ls7e_ard_3-0-0_095072_2006-12-23_final
2007-04-26 11:42:05	ga_ls7e_ard_3-0-0_115076_2007-04-26_final
2007-11-24 11:15:28	ga_ls7e_ard_3-0-0_111072_2007-11-24_final
2007-12-31 11:37:22	ga_ls7e_ard_3-0-0_114080_2007-12-31_final
2008-02-12 11:16:22	ga_ls7e_ard_3-0-0_111074_2008-02-12_final
2008-03-31 11:15:50	ga_ls7e_ard_3-0-0_111073_2008-03-31_final
2008-09-07 11:19:03	ga_ls7e_ard_3-0-0_111084_2008-09-07_final
2010-02-01 11:17:26	ga_ls7e_ard_3-0-0_111073_2010-02-01_final
2010-04-22 11:15:30	ga_ls7e_ard_3-0-0_111067_2010-04-22_final
2010-05-24 09:41:43	ga_ls7e_ard_3-0-0_095080_2010-05-24_final
2010-11-28 11:44:53	ga_ls7e_ard_3-1-0_115077_2010-11-28_final
2010-12-27 11:16:37	ga_ls7e_ard_3-0-0_110083_2010-12-27_final
2011-02-02 11:29:03	ga_ls7e_ard_3-0-0_113067_2011-02-02_final
2011-03-08 11:18:50	ga_ls7e_ard_3-0-0_111072_2011-03-08_final
2011-04-25 11:18:30	ga_ls7e_ard_3-0-0_111071_2011-04-25_final
2011-10-23 11:39:10	ga_ls7e_ard_3-0-0_114077_2011-10-23_final
2012-01-20 11:32:27	ga_ls7e_ard_3-0-0_113074_2012-01-20_final
2012-02-07 09:40:54	ga_ls7e_ard_3-1-0_095073_2012-02-07_final
2012-11-05 11:24:19	ga_ls7e_ard_3-0-0_111080_2012-11-05_final
2013-05-12 11:46:41	ga_ls7e_ard_3-0-0_115074_2013-05-12_final
2013-10-07 09:45:30	ga_ls7e_ard_3-0-0_095080_2013-10-07_final
2014-02-10 11:39:17	ga_ls7e_ard_3-0-0_113084_2014-02-10_final
2014-02-19 11:32:09	ga_ls7e_ard_3-0-0_112082_2014-02-19_final
2015-04-13 11:17:31	ga_ls7e_ard_3-0-0_110070_2015-04-13_final
2015-10-29 11:26:30	ga_ls7e_ard_3-0-0_111074_2015-10-29_final
2015-11-03 11:42:18	ga_ls7e_ard_3-0-0_114067_2015-11-03_final
2015-11-26 11:53:40	ga_ls7e_ard_3-0-0_115079_2015-11-26_final
2016-02-07 11:49:16	ga_ls7e_ard_3-0-0_114081_2016-02-07_final
2016-02-23 11:43:42	ga_ls7e_ard_3-0-0_114067_2016-02-23_final
2016-04-22 11:27:12	ga_ls7e_ard_3-0-0_111071_2016-04-22_final
2016-12-14 11:55:15	ga_ls7e_ard_3-0-0_115079_2016-12-14_final
2017-01-12 11:20:53	ga_ls7e_ard_3-0-0_110071_2017-01-12_final
2017-03-08 11:27:49	ga_ls7e_ard_3-0-0_111073_2017-03-08_final
2017-06-12 11:27:30	ga_ls7e_ard_3-0-0_111071_2017-06-12_final
2017-09-30 11:41:02	ga_ls7e_ard_3-0-0_113074_2017-09-30_final
2017-11-28 11:19:38	ga_ls7e_ard_3-0-0_110067_2017-11-28_final
2018-07-01 11:24:17	ga_ls7e_ard_3-0-0_111071_2018-07-01_final
2018-07-13 11:51:34	ga_ls7e_ard_3-0-0_115078_2018-07-13_final
2018-11-13 11:28:49	ga_ls7e_ard_3-1-0_112074_2018-11-13_final
2019-01-23 11:36:10	ga_ls7e_ard_3-0-0_113082_2019-01-23_final
2019-04-24 11:10:40	ga_ls7e_ard_3-1-0_110072_2019-04-24_final
2019-05-17 11:16:45	ga_ls7e_ard_3-0-0_111074_2019-05-17_final
2019-08-10 11:29:16	ga_ls7e_ard_3-0-0_114067_2019-08-10_final
2019-10-01 11:05:30	ga_ls7e_ard_3-1-0_110075_2019-10-01_final
2019-12-27 09:31:57	ga_ls7e_ard_3-1-0_095083_2019-12-27_final
2020-04-08 11:07:59	ga_ls7e_ard_3-1-0_112074_2020-04-08_final
2020-04-17 11:00:05	ga_ls7e_ard_3-1-0_111071_2020-04-17_final
2020-06-29 10:54:44	ga_ls7e_ard_3-1-0_110084_2020-06-29_final
2020-10-26 10:48:57	ga_ls7e_ard_3-1-0_111073_2020-10-26_final
2021-02-11 09:28:39	ga_ls7e_ard_3-2-0_099077_2021-02-10_final
2021-03-01 09:12:08	ga_ls7e_ard_3-2-0_097070_2021-02-28_final
2021-03-29 09:37:49	ga_ls7e_ard_3-2-0_101078_2021-03-29_final
2021-05-21 09:52:43	ga_ls7e_ard_3-2-0_104080_2021-05-21_final
2021-05-31 10:24:56	ga_ls7e_ard_3-2-0_110070_2021-05-31_final
2021-06-14 10:37:45	ga_ls7e_ard_3-2-0_112074_2021-06-14_final
2021-07-10 09:33:23	ga_ls7e_ard_3-2-0_102073_2021-07-10_final
2021-08-07 08:22:47	ga_ls7e_ard_3-2-0_090088_2021-08-06_final
2021-08-07 08:23:11	ga_ls7e_ard_3-2-0_090089_2021-08-06_final
2021-08-15 09:09:54	ga_ls7e_ard_3-2-0_098084_2021-08-14_final
2021-08-21 08:31:54	ga_ls7e_ard_3-2-0_092083_2021-08-20_final
2021-08-22 09:10:18	ga_ls7e_ard_3-2-0_099071_2021-08-21_final
2021-09-06 08:31:43	ga_ls7e_ard_3-2-0_092086_2021-09-05_final
2021-09-22 08:29:54	ga_ls7e_ard_3-2-0_092085_2021-09-21_final
2021-10-02 10:42:58	ga_ls7e_ard_3-2-0_114080_2021-10-02_final
2021-10-14 09:28:09	ga_ls7e_ard_3-2-0_102081_2021-10-13_final
2021-11-20 08:03:09	ga_ls7e_ard_3-2-1_089078_2021-11-19_final
2021-12-04 08:17:47	ga_ls7e_ard_3-2-1_091087_2021-12-03_final
2021-12-19 09:05:58	ga_ls7e_ard_3-2-1_100072_2021-12-18_final
2022-02-02 08:33:04	ga_ls7e_ard_3-2-1_095078_2022-02-01_final
2022-02-08 09:33:52	ga_ls7e_ard_3-2-1_105077_2022-02-08_final
2022-02-20 08:21:41	ga_ls7e_ard_3-2-1_093085_2022-02-19_final
2022-03-02 08:54:37	ga_ls7e_ard_3-2-1_099077_2022-03-01_final
2022-03-06 10:05:11	ga_ls7e_ard_3-2-1_111069_2022-03-06_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