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
1999-09-04 11:39:58	ga_ls7e_ard_3-0-0_114080_1999-09-04_final
2000-11-20 09:39:07	ga_ls7e_ard_3-0-0_095078_2000-11-20_final
2001-01-12 11:37:06	ga_ls7e_ard_3-0-0_114079_2001-01-12_final
2001-02-24 09:41:10	ga_ls7e_ard_3-0-0_095083_2001-02-24_final
2001-09-16 11:40:30	ga_ls7e_ard_3-0-0_115077_2001-09-16_final
2001-09-20 09:36:03	ga_ls7e_ard_3-0-0_095075_2001-09-20_final
2001-10-27 11:35:19	ga_ls7e_ard_3-0-0_114080_2001-10-27_final
2002-02-23 11:40:54	ga_ls7e_ard_3-1-0_115077_2002-02-23_final
2002-04-28 11:40:25	ga_ls7e_ard_3-0-0_115076_2002-04-28_final
2003-01-25 11:40:30	ga_ls7e_ard_3-1-0_115077_2003-01-25_final
2003-03-02 09:39:29	ga_ls7e_ard_3-0-0_095083_2003-03-02_final
2003-04-19 09:39:32	ga_ls7e_ard_3-0-0_095083_2003-04-19_final
2003-08-21 11:40:24	ga_ls7e_ard_3-1-0_115077_2003-08-21_final
2004-09-12 09:40:15	ga_ls7e_ard_3-0-0_095085_2004-09-12_final
2006-03-26 09:40:05	ga_ls7e_ard_3-0-0_095081_2006-03-26_final
2006-05-09 11:41:40	ga_ls7e_ard_3-0-0_115076_2006-05-09_final
2006-09-18 09:36:43	ga_ls7e_ard_3-0-0_095074_2006-09-18_final
2006-10-20 09:37:33	ga_ls7e_ard_3-0-0_095076_2006-10-20_final
2007-03-13 09:41:43	ga_ls7e_ard_3-0-0_095084_2007-03-13_final
2007-09-05 09:38:41	ga_ls7e_ard_3-0-0_095078_2007-09-05_final
2007-09-26 11:35:59	ga_ls7e_ard_3-1-0_114078_2007-09-26_final
2008-01-07 11:41:10	ga_ls7e_ard_3-0-0_115074_2008-01-07_final
2008-02-12 09:41:53	ga_ls7e_ard_3-0-0_095085_2008-02-12_final
2008-03-20 11:36:46	ga_ls7e_ard_3-0-0_114079_2008-03-20_final
2008-03-31 09:39:21	ga_ls7e_ard_3-1-0_095079_2008-03-31_final
2008-07-01 11:41:10	ga_ls7e_ard_3-0-0_115076_2008-07-01_final
2008-07-21 09:37:43	ga_ls7e_ard_3-0-0_095077_2008-07-21_final
2009-06-06 09:37:38	ga_ls7e_ard_3-0-0_095074_2009-06-06_final
2009-06-06 09:39:14	ga_ls7e_ard_3-0-0_095078_2009-06-06_final
2010-02-06 11:38:02	ga_ls7e_ard_3-0-0_114078_2010-02-06_final
2010-05-04 11:44:11	ga_ls7e_ard_3-0-0_115077_2010-05-04_final
2010-07-11 09:41:01	ga_ls7e_ard_3-0-0_095078_2010-07-11_final
2011-08-04 11:39:40	ga_ls7e_ard_3-0-0_114078_2011-08-04_final
2013-08-09 11:41:48	ga_ls7e_ard_3-0-0_114079_2013-08-09_final
2013-11-13 11:42:24	ga_ls7e_ard_3-0-0_114078_2013-11-13_final
2014-02-12 09:48:01	ga_ls7e_ard_3-0-0_095084_2014-02-12_final
2014-10-26 09:48:30	ga_ls7e_ard_3-0-0_095082_2014-10-26_final
2016-02-02 09:49:49	ga_ls7e_ard_3-0-0_095076_2016-02-02_final
2016-05-24 09:50:27	ga_ls7e_ard_3-0-0_095076_2016-05-24_final
2016-08-08 11:54:37	ga_ls7e_ard_3-1-0_115077_2016-08-08_final
2017-01-03 09:53:52	ga_ls7e_ard_3-0-0_095085_2017-01-03_final
2017-04-09 09:53:29	ga_ls7e_ard_3-0-0_095084_2017-04-09_final
2017-06-01 11:49:58	ga_ls7e_ard_3-0-0_114081_2017-06-01_final
2017-08-15 09:49:48	ga_ls7e_ard_3-0-0_095074_2017-08-15_final
2018-04-12 09:51:35	ga_ls7e_ard_3-0-0_095083_2018-04-12_final
2018-06-15 09:46:55	ga_ls7e_ard_3-0-0_095074_2018-06-15_final
2018-09-03 09:48:59	ga_ls7e_ard_3-0-0_095083_2018-09-03_final
2018-10-21 09:47:52	ga_ls7e_ard_3-0-0_095083_2018-10-21_final
2019-07-04 09:39:42	ga_ls7e_ard_3-0-0_095083_2019-07-04_final
2019-07-20 09:35:29	ga_ls7e_ard_3-0-0_095074_2019-07-20_final
2019-08-05 09:37:38	ga_ls7e_ard_3-0-0_095081_2019-08-05_final
2019-10-20 11:36:00	ga_ls7e_ard_3-1-0_115076_2019-10-20_final
2020-04-06 11:22:27	ga_ls7e_ard_3-1-0_114079_2020-04-06_final
2020-06-16 11:24:25	ga_ls7e_ard_3-1-0_115079_2020-06-16_final
2020-07-18 11:22:30	ga_ls7e_ard_3-1-0_115079_2020-07-18_final
2020-07-22 09:20:39	ga_ls7e_ard_3-1-0_095084_2020-07-21_final
2020-10-06 11:16:10	ga_ls7e_ard_3-1-0_115076_2020-10-06_final
2021-02-23 09:52:52	ga_ls7e_ard_3-2-0_103078_2021-02-23_final
2021-02-24 08:59:34	ga_ls7e_ard_3-2-0_094084_2021-02-23_final
2021-02-26 08:45:03	ga_ls7e_ard_3-2-0_092079_2021-02-25_final
2021-03-03 09:04:48	ga_ls7e_ard_3-2-0_095083_2021-03-02_final
2021-03-05 08:52:17	ga_ls7e_ard_3-2-0_093083_2021-03-04_final
2021-03-19 09:01:09	ga_ls7e_ard_3-2-0_095077_2021-03-18_final
2021-03-24 10:58:34	ga_ls7e_ard_3-2-0_114078_2021-03-24_final
2021-04-01 08:31:11	ga_ls7e_ard_3-2-0_090082_2021-03-31_final
2021-04-14 09:34:30	ga_ls7e_ard_3-2-0_101073_2021-04-14_final
2021-04-22 08:47:34	ga_ls7e_ard_3-2-0_093081_2021-04-21_final
2021-05-04 09:11:41	ga_ls7e_ard_3-2-0_097082_2021-05-03_final
2021-05-06 08:58:22	ga_ls7e_ard_3-2-0_095080_2021-05-05_final
2021-05-15 08:51:25	ga_ls7e_ard_3-2-0_094080_2021-05-14_final
2021-05-24 08:44:05	ga_ls7e_ard_3-2-0_093079_2021-05-23_final
2021-05-24 10:24:09	ga_ls7e_ard_3-2-0_109082_2021-05-24_final
2021-06-05 10:47:03	ga_ls7e_ard_3-2-0_113080_2021-06-05_final
2021-06-16 08:47:57	ga_ls7e_ard_3-2-0_094078_2021-06-15_final
2021-06-22 09:46:52	ga_ls7e_ard_3-2-0_104072_2021-06-22_final
2021-06-22 09:47:39	ga_ls7e_ard_3-2-0_104074_2021-06-22_final
2021-07-03 09:31:00	ga_ls7e_ard_3-2-0_101081_2021-07-03_final
2021-07-17 09:41:22	ga_ls7e_ard_3-2-0_103079_2021-07-17_final
2021-07-31 09:48:55	ga_ls7e_ard_3-2-0_105070_2021-07-31_final
2021-08-28 08:34:18	ga_ls7e_ard_3-2-0_093075_2021-08-27_final
2021-08-28 10:11:59	ga_ls7e_ard_3-2-0_109072_2021-08-28_final
2021-08-28 10:16:46	ga_ls7e_ard_3-2-0_109084_2021-08-28_final
2021-09-04 08:39:52	ga_ls7e_ard_3-2-0_094075_2021-09-03_final
2021-09-06 08:29:44	ga_ls7e_ard_3-2-0_092081_2021-09-05_final
2021-09-11 10:24:19	ga_ls7e_ard_3-2-0_111075_2021-09-11_final
2021-09-20 08:38:51	ga_ls7e_ard_3-2-0_094076_2021-09-19_final
2021-09-20 10:18:08	ga_ls7e_ard_3-2-0_110077_2021-09-20_final
2021-09-25 08:55:45	ga_ls7e_ard_3-2-0_097073_2021-09-24_final
2021-10-06 10:16:42	ga_ls7e_ard_3-2-0_110077_2021-10-06_final
2021-10-24 08:24:39	ga_ls7e_ard_3-2-0_092079_2021-10-23_final
2021-11-13 09:36:32	ga_ls7e_ard_3-2-1_104078_2021-11-13_final
2021-12-29 08:06:22	ga_ls7e_ard_3-2-1_090080_2021-12-28_final
2021-12-30 10:26:49	ga_ls7e_ard_3-2-1_113076_2021-12-30_final
2022-01-15 10:25:16	ga_ls7e_ard_3-2-1_113076_2022-01-15_final
2022-01-22 10:31:11	ga_ls7e_ard_3-2-1_114077_2022-01-22_final
2022-01-26 10:06:04	ga_ls7e_ard_3-2-1_110077_2022-01-26_final
2022-02-08 09:35:27	ga_ls7e_ard_3-2-1_105081_2022-02-08_final
2022-02-11 08:27:58	ga_ls7e_ard_3-2-1_094083_2022-02-10_final
2022-02-25 08:38:57	ga_ls7e_ard_3-2-1_096083_2022-02-24_final
2022-03-11 08:47:09	ga_ls7e_ard_3-2-1_098076_2022-03-10_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