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 11:40:22	ga_ls7e_ard_3-0-0_114081_1999-09-04_final
2000-01-01 11:44:24	ga_ls7e_ard_3-0-0_115076_2000-01-01_final
2001-04-29 09:41:40	ga_ls7e_ard_3-0-0_095085_2001-04-29_final
2001-05-31 09:36:09	ga_ls7e_ard_3-0-0_095072_2001-05-31_final
2002-02-07 11:40:53	ga_ls7e_ard_3-1-0_115077_2002-02-07_final
2002-06-19 09:34:54	ga_ls7e_ard_3-0-0_095072_2002-06-19_final
2002-07-17 11:40:20	ga_ls7e_ard_3-0-0_115077_2002-07-17_final
2002-09-28 11:33:58	ga_ls7e_ard_3-0-0_114078_2002-09-28_final
2002-10-05 11:38:31	ga_ls7e_ard_3-0-0_115074_2002-10-05_final
2003-03-18 09:36:43	ga_ls7e_ard_3-0-0_095076_2003-03-18_final
2003-08-30 11:34:35	ga_ls7e_ard_3-0-0_114078_2003-08-30_final
2003-11-13 09:35:45	ga_ls7e_ard_3-0-0_095074_2003-11-13_final
2003-11-13 09:40:08	ga_ls7e_ard_3-0-0_095085_2003-11-13_final
2003-12-15 09:33:11	ga_ls7e_ard_3-0-0_095067_2003-12-15_final
2004-03-20 09:38:52	ga_ls7e_ard_3-0-0_095080_2004-03-20_final
2004-08-27 09:35:58	ga_ls7e_ard_3-0-0_095074_2004-08-27_final
2004-09-17 11:34:27	ga_ls7e_ard_3-0-0_114077_2004-09-17_final
2005-09-15 09:36:40	ga_ls7e_ard_3-0-0_095075_2005-09-15_final
2005-10-22 11:35:26	ga_ls7e_ard_3-0-0_114078_2005-10-22_final
2005-11-18 09:40:18	ga_ls7e_ard_3-0-0_095083_2005-11-18_final
2006-03-26 09:37:17	ga_ls7e_ard_3-0-0_095074_2006-03-26_final
2006-04-16 11:35:50	ga_ls7e_ard_3-0-0_114077_2006-04-16_final
2006-06-14 09:39:36	ga_ls7e_ard_3-0-0_095080_2006-06-14_final
2006-10-09 11:35:11	ga_ls7e_ard_3-0-0_114077_2006-10-09_final
2006-10-20 09:37:09	ga_ls7e_ard_3-0-0_095075_2006-10-20_final
2007-11-24 09:42:11	ga_ls7e_ard_3-0-0_095086_2007-11-24_final
2008-02-01 11:36:57	ga_ls7e_ard_3-0-0_114079_2008-02-01_final
2008-02-12 09:40:17	ga_ls7e_ard_3-0-0_095081_2008-02-12_final
2009-01-29 09:39:21	ga_ls7e_ard_3-0-0_095080_2009-01-29_final
2009-01-29 09:40:57	ga_ls7e_ard_3-0-0_095084_2009-01-29_final
2009-03-02 09:40:02	ga_ls7e_ard_3-0-0_095081_2009-03-02_final
2009-04-08 11:36:08	ga_ls7e_ard_3-0-0_114077_2009-04-08_final
2009-06-22 09:37:37	ga_ls7e_ard_3-0-0_095074_2009-06-22_final
2009-09-26 09:38:08	ga_ls7e_ard_3-0-0_095076_2009-09-26_final
2010-07-11 09:42:36	ga_ls7e_ard_3-0-0_095082_2010-07-11_final
2010-10-04 11:39:16	ga_ls7e_ard_3-0-0_114080_2010-10-04_final
2011-08-31 09:40:58	ga_ls7e_ard_3-0-0_095075_2011-08-31_final
2012-08-01 09:45:20	ga_ls7e_ard_3-0-0_095082_2012-08-01_final
2012-08-17 09:39:34	ga_ls7e_ard_3-0-0_095067_2012-08-17_final
2012-10-20 09:46:59	ga_ls7e_ard_3-0-0_095084_2012-10-20_final
2012-12-07 09:43:36	ga_ls7e_ard_3-0-0_095075_2012-12-07_final
2014-08-19 11:49:39	ga_ls7e_ard_3-1-0_115077_2014-08-19_final
2016-01-17 09:52:51	ga_ls7e_ard_3-0-0_095084_2016-01-17_final
2016-11-16 09:53:43	ga_ls7e_ard_3-0-0_095084_2016-11-16_final
2017-11-03 09:52:14	ga_ls7e_ard_3-0-0_095080_2017-11-03_final
2018-04-17 11:47:44	ga_ls7e_ard_3-0-0_114080_2018-04-17_final
2019-03-10 11:45:07	ga_ls7e_ard_3-1-0_115077_2019-03-10_final
2019-07-04 09:40:06	ga_ls7e_ard_3-0-0_095084_2019-07-04_final
2019-08-17 11:37:56	ga_ls7e_ard_3-0-0_115074_2019-08-17_final
2020-01-17 11:25:55	ga_ls7e_ard_3-1-0_114077_2020-01-17_final
2020-05-31 11:25:21	ga_ls7e_ard_3-1-0_115079_2020-05-31_final
2020-08-28 11:13:43	ga_ls7e_ard_3-1-0_114079_2020-08-28_final
2020-12-02 11:07:42	ga_ls7e_ard_3-1-0_114080_2020-12-02_final
2021-02-13 10:57:49	ga_ls7e_ard_3-2-0_113084_2021-02-13_final
2021-02-26 08:47:27	ga_ls7e_ard_3-2-0_092085_2021-02-25_final
2021-03-31 11:03:46	ga_ls7e_ard_3-2-0_115077_2021-03-31_final
2021-04-11 09:07:50	ga_ls7e_ard_3-2-0_096083_2021-04-10_final
2021-04-29 10:30:02	ga_ls7e_ard_3-2-0_110076_2021-04-29_final
2021-05-01 10:19:55	ga_ls7e_ard_3-2-0_108082_2021-05-01_final
2021-05-12 09:58:51	ga_ls7e_ard_3-2-0_105078_2021-05-12_final
2021-05-13 09:03:33	ga_ls7e_ard_3-2-0_096079_2021-05-12_final
2021-05-13 09:03:57	ga_ls7e_ard_3-2-0_096080_2021-05-12_final
2021-05-20 09:09:08	ga_ls7e_ard_3-2-0_097079_2021-05-19_final
2021-05-26 10:08:02	ga_ls7e_ard_3-2-0_107073_2021-05-26_final
2021-05-26 10:10:25	ga_ls7e_ard_3-2-0_107079_2021-05-26_final
2021-06-09 08:42:44	ga_ls7e_ard_3-2-0_093079_2021-06-08_final
2021-06-10 09:25:55	ga_ls7e_ard_3-2-0_100079_2021-06-09_final
2021-06-23 08:51:57	ga_ls7e_ard_3-2-0_095074_2021-06-22_final
2021-06-26 09:25:24	ga_ls7e_ard_3-2-0_100081_2021-06-25_final
2021-07-07 09:03:09	ga_ls7e_ard_3-2-0_097074_2021-07-06_final
2021-07-08 09:45:31	ga_ls7e_ard_3-2-0_104072_2021-07-08_final
2021-07-12 09:23:39	ga_ls7e_ard_3-2-0_100080_2021-07-11_final
2021-07-18 08:47:15	ga_ls7e_ard_3-2-0_094083_2021-07-17_final
2021-07-18 10:21:21	ga_ls7e_ard_3-2-0_110071_2021-07-18_final
2021-07-29 10:07:02	ga_ls7e_ard_3-2-0_107084_2021-07-29_final
2021-08-02 09:38:22	ga_ls7e_ard_3-2-0_103075_2021-08-02_final
2021-08-16 09:50:41	ga_ls7e_ard_3-2-0_105078_2021-08-16_final
2021-09-27 08:46:47	ga_ls7e_ard_3-2-0_095082_2021-09-26_final
2021-09-27 08:48:47	ga_ls7e_ard_3-2-0_095087_2021-09-26_final
2021-10-19 09:42:39	ga_ls7e_ard_3-2-0_105072_2021-10-19_final
2021-10-23 09:21:34	ga_ls7e_ard_3-2-0_101082_2021-10-22_final
2021-10-26 09:52:35	ga_ls7e_ard_3-2-0_106083_2021-10-26_final
2021-11-08 09:16:29	ga_ls7e_ard_3-2-0_101073_2021-11-07_final
2021-11-12 10:33:02	ga_ls7e_ard_3-2-1_113080_2021-11-12_final
2021-11-27 09:47:56	ga_ls7e_ard_3-2-1_106079_2021-11-27_final
2021-12-06 09:37:43	ga_ls7e_ard_3-2-1_105071_2021-12-06_final
2021-12-19 09:09:10	ga_ls7e_ard_3-2-1_100080_2021-12-18_final
2022-01-10 08:31:07	ga_ls7e_ard_3-2-1_094083_2022-01-09_final
2022-01-10 08:32:43	ga_ls7e_ard_3-2-1_094087_2022-01-09_final
2022-01-12 09:56:15	ga_ls7e_ard_3-2-1_108080_2022-01-12_final
2022-01-15 08:46:23	ga_ls7e_ard_3-2-1_097076_2022-01-14_final
2022-02-13 09:49:53	ga_ls7e_ard_3-2-1_108072_2022-02-13_final
2022-02-18 10:09:07	ga_ls7e_ard_3-2-1_111075_2022-02-18_final
2022-03-09 09:01:42	ga_ls7e_ard_3-2-1_100081_2022-03-08_final
2022-03-13 08:33:47	ga_ls7e_ard_3-2-1_096074_2022-03-12_final
2022-03-19 09:36:34	ga_ls7e_ard_3-2-1_106078_2022-03-19_final
2022-03-23 09:11:29	ga_ls7e_ard_3-2-1_102078_2022-03-22_final
2022-03-25 09:00:08	ga_ls7e_ard_3-2-1_100081_2022-03-24_final
2022-03-28 09:29:09	ga_ls7e_ard_3-2-1_105077_2022-03-27_final
2022-04-02 09:44:01	ga_ls7e_ard_3-2-1_108069_2022-04-02_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