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
1999-07-02 11:40:08	ga_ls7e_ard_3-0-0_114081_1999-07-02_final
2000-03-09 09:41:22	ga_ls7e_ard_3-0-0_095078_2000-03-09_final
2000-04-26 09:43:55	ga_ls7e_ard_3-1-0_095085_2000-04-26_final
2001-05-15 09:41:28	ga_ls7e_ard_3-0-0_095085_2001-05-15_final
2001-09-25 11:35:52	ga_ls7e_ard_3-0-0_114081_2001-09-25_final
2001-11-28 11:35:59	ga_ls7e_ard_3-0-0_114081_2001-11-28_final
2002-03-04 11:36:22	ga_ls7e_ard_3-0-0_114081_2002-03-04_final
2002-12-28 09:39:56	ga_ls7e_ard_3-0-0_095085_2002-12-28_final
2003-07-20 11:40:09	ga_ls7e_ard_3-0-0_115076_2003-07-20_final
2003-10-28 09:35:12	ga_ls7e_ard_3-1-0_095073_2003-10-28_final
2003-11-13 09:34:57	ga_ls7e_ard_3-0-0_095072_2003-11-13_final
2003-12-15 09:36:46	ga_ls7e_ard_3-0-0_095076_2003-12-15_final
2004-08-07 11:40:00	ga_ls7e_ard_3-0-0_115075_2004-08-07_final
2004-09-28 09:39:23	ga_ls7e_ard_3-1-0_095083_2004-09-28_final
2005-01-02 09:41:21	ga_ls7e_ard_3-0-0_095086_2005-01-02_final
2005-06-27 09:40:59	ga_ls7e_ard_3-0-0_095085_2005-06-27_final
2005-09-11 11:41:53	ga_ls7e_ard_3-0-0_115079_2005-09-11_final
2005-11-14 11:40:17	ga_ls7e_ard_3-0-0_115074_2005-11-14_final
2006-01-21 09:36:44	ga_ls7e_ard_3-1-0_095073_2006-01-21_final
2006-02-22 09:39:41	ga_ls7e_ard_3-0-0_095080_2006-02-22_final
2006-04-07 11:42:51	ga_ls7e_ard_3-0-0_115079_2006-04-07_final
2006-05-29 09:41:15	ga_ls7e_ard_3-1-0_095084_2006-05-29_final
2006-06-14 09:40:48	ga_ls7e_ard_3-0-0_095083_2006-06-14_final
2007-01-24 09:40:16	ga_ls7e_ard_3-0-0_095081_2007-01-24_final
2007-04-26 11:41:41	ga_ls7e_ard_3-0-0_115075_2007-04-26_final
2007-11-08 09:37:39	ga_ls7e_ard_3-0-0_095075_2007-11-08_final
2007-12-06 11:42:40	ga_ls7e_ard_3-0-0_115078_2007-12-06_final
2008-04-16 09:42:07	ga_ls7e_ard_3-0-0_095086_2008-04-16_final
2008-05-17 08:56:43	ga_ls7e_ard_3-0-0_088081_2008-05-16_final
2008-11-26 09:39:17	ga_ls7e_ard_3-0-0_095081_2008-11-26_final
2009-09-10 09:36:58	ga_ls7e_ard_3-1-0_095073_2009-09-10_final
2010-01-16 09:42:43	ga_ls7e_ard_3-0-0_095084_2010-01-16_final
2010-09-25 11:43:05	ga_ls7e_ard_3-0-0_115074_2010-09-25_final
2011-04-14 11:41:02	ga_ls7e_ard_3-0-0_114081_2011-04-14_final
2011-05-23 11:45:59	ga_ls7e_ard_3-0-0_115078_2011-05-23_final
2011-09-15 09:00:00	ga_ls7e_ard_3-0-0_088081_2011-09-14_final
2012-03-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2012-03-06_final
2012-10-04 09:42:01	ga_ls7e_ard_3-0-0_095072_2012-10-04_final
2012-11-21 09:46:23	ga_ls7e_ard_3-0-0_095082_2012-11-21_final
2013-03-29 09:47:38	ga_ls7e_ard_3-0-0_095085_2013-03-29_final
2013-04-30 09:47:54	ga_ls7e_ard_3-0-0_095086_2013-04-30_final
2013-07-08 11:42:51	ga_ls7e_ard_3-0-0_114081_2013-07-08_final
2014-06-16 11:48:12	ga_ls7e_ard_3-0-0_115074_2014-06-16_final
2015-01-30 09:45:52	ga_ls7e_ard_3-0-0_095074_2015-01-30_final
2015-07-05 11:52:05	ga_ls7e_ard_3-0-0_115078_2015-07-05_final
2015-07-25 09:48:57	ga_ls7e_ard_3-1-0_095079_2015-07-25_final
2015-09-07 11:50:41	ga_ls7e_ard_3-0-0_115074_2015-09-07_final
2015-09-27 09:51:10	ga_ls7e_ard_3-0-0_095084_2015-09-27_final
2016-01-29 11:54:11	ga_ls7e_ard_3-0-0_115078_2016-01-29_final
2016-12-02 09:52:30	ga_ls7e_ard_3-0-0_095081_2016-12-02_final
2016-12-18 09:50:01	ga_ls7e_ard_3-0-0_095075_2016-12-18_final
2017-04-05 11:55:03	ga_ls7e_ard_3-0-0_115079_2017-04-05_final
2017-04-09 09:53:29	ga_ls7e_ard_3-0-0_095084_2017-04-09_final
2017-06-17 11:50:02	ga_ls7e_ard_3-0-0_114081_2017-06-17_final
2017-07-10 11:53:28	ga_ls7e_ard_3-0-0_115074_2017-07-10_final
2017-07-30 09:53:50	ga_ls7e_ard_3-0-0_095084_2017-07-30_final
2017-12-01 11:54:54	ga_ls7e_ard_3-0-0_115078_2017-12-01_final
2018-02-23 09:52:14	ga_ls7e_ard_3-0-0_095083_2018-02-23_final
2018-12-24 09:46:16	ga_ls7e_ard_3-0-0_095083_2018-12-24_final
2019-01-30 11:41:43	ga_ls7e_ard_3-0-0_114081_2019-01-30_final
2019-02-10 09:40:23	ga_ls7e_ard_3-0-0_095072_2019-02-10_final
2019-03-03 11:40:45	ga_ls7e_ard_3-1-0_114081_2019-03-03_final
2019-11-21 11:34:09	ga_ls7e_ard_3-1-0_115075_2019-11-21_final
2020-01-28 09:31:56	ga_ls7e_ard_3-1-0_095087_2020-01-28_final
2020-06-04 09:24:42	ga_ls7e_ard_3-1-0_095087_2020-06-03_final
2021-01-21 09:15:15	ga_ls7e_ard_3-2-0_096086_2021-01-20_final
2021-02-08 08:56:47	ga_ls7e_ard_3-2-0_094074_2021-02-07_final
2021-02-13 09:18:56	ga_ls7e_ard_3-2-0_097084_2021-02-12_final
2021-02-17 10:32:00	ga_ls7e_ard_3-2-0_109082_2021-02-17_final
2021-02-27 11:07:07	ga_ls7e_ard_3-2-0_115079_2021-02-27_final
2021-03-05 10:27:11	ga_ls7e_ard_3-2-0_109073_2021-03-05_final
2021-03-10 09:09:14	ga_ls7e_ard_3-2-0_096080_2021-03-09_final
2021-03-18 09:53:15	ga_ls7e_ard_3-2-0_104068_2021-03-18_final
2021-04-11 10:43:08	ga_ls7e_ard_3-2-0_112074_2021-04-11_final
2021-04-12 09:49:49	ga_ls7e_ard_3-2-0_103080_2021-04-12_final
2021-05-08 08:49:02	ga_ls7e_ard_3-2-0_093088_2021-05-07_final
2021-05-10 10:08:12	ga_ls7e_ard_3-2-0_107070_2021-05-10_final
2021-05-17 10:15:47	ga_ls7e_ard_3-2-0_108075_2021-05-17_final
2021-06-27 08:30:06	ga_ls7e_ard_3-2-0_091082_2021-06-26_final
2021-07-04 08:36:53	ga_ls7e_ard_3-2-0_092085_2021-07-03_final
2021-07-25 10:29:43	ga_ls7e_ard_3-2-0_111078_2021-07-25_final
2021-08-28 10:16:46	ga_ls7e_ard_3-2-0_109084_2021-08-28_final
2021-09-29 10:13:56	ga_ls7e_ard_3-2-0_109084_2021-09-29_final
2021-10-10 09:48:51	ga_ls7e_ard_3-2-0_106070_2021-10-10_final
2021-10-31 08:32:59	ga_ls7e_ard_3-2-0_093086_2021-10-30_final
2021-11-04 08:06:18	ga_ls7e_ard_3-2-0_089082_2021-11-03_final
2021-11-09 09:58:50	ga_ls7e_ard_3-2-0_108071_2021-11-09_final
2021-11-12 10:33:50	ga_ls7e_ard_3-2-1_113082_2021-11-12_final
2021-11-21 10:23:35	ga_ls7e_ard_3-2-1_112074_2021-11-21_final
2021-12-05 08:56:57	ga_ls7e_ard_3-2-1_098077_2021-12-04_final
2021-12-09 10:10:44	ga_ls7e_ard_3-2-1_110077_2021-12-09_final
2021-12-09 10:12:19	ga_ls7e_ard_3-2-1_110081_2021-12-09_final
2021-12-21 10:33:54	ga_ls7e_ard_3-2-1_114076_2021-12-21_final
2021-12-29 09:44:03	ga_ls7e_ard_3-2-1_106077_2021-12-29_final
2021-12-30 08:46:20	ga_ls7e_ard_3-2-1_097072_2021-12-29_final
2022-01-06 08:54:12	ga_ls7e_ard_3-2-1_098078_2022-01-05_final
2022-01-11 09:10:41	ga_ls7e_ard_3-2-1_101074_2022-01-10_final
2022-01-18 09:19:24	ga_ls7e_ard_3-2-1_102082_2022-01-17_final
2022-02-02 08:32:40	ga_ls7e_ard_3-2-1_095077_2022-02-01_final
2022-02-15 08:00:50	ga_ls7e_ard_3-2-1_090078_2022-02-14_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