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
1999-10-17 09:42:56	ga_ls7e_ard_3-0-0_095081_1999-10-17_final
1999-11-02 09:43:40	ga_ls7e_ard_3-0-0_095083_1999-11-02_final
2000-08-12 11:42:41	ga_ls7e_ard_3-0-0_115076_2000-08-12_final
2000-08-16 09:42:40	ga_ls7e_ard_3-0-0_095085_2000-08-16_final
2001-10-06 09:35:27	ga_ls7e_ard_3-0-0_095074_2001-10-06_final
2002-02-11 09:33:19	ga_ls7e_ard_3-0-0_095067_2002-02-11_final
2003-07-24 09:38:31	ga_ls7e_ard_3-0-0_095081_2003-07-24_final
2003-08-09 09:39:11	ga_ls7e_ard_3-0-0_095083_2003-08-09_final
2004-05-03 11:41:58	ga_ls7e_ard_3-0-0_115079_2004-05-03_final
2004-09-12 09:39:51	ga_ls7e_ard_3-0-0_095084_2004-09-12_final
2006-01-21 09:38:19	ga_ls7e_ard_3-0-0_095077_2006-01-21_final
2007-09-21 09:41:23	ga_ls7e_ard_3-0-0_095085_2007-09-21_final
2007-10-07 09:37:40	ga_ls7e_ard_3-0-0_095076_2007-10-07_final
2007-11-08 09:37:15	ga_ls7e_ard_3-0-0_095074_2007-11-08_final
2008-03-15 09:40:32	ga_ls7e_ard_3-0-0_095082_2008-03-15_final
2008-05-02 09:37:40	ga_ls7e_ard_3-0-0_095075_2008-05-02_final
2008-05-02 09:41:15	ga_ls7e_ard_3-0-0_095084_2008-05-02_final
2008-05-02 09:41:39	ga_ls7e_ard_3-0-0_095085_2008-05-02_final
2008-05-18 09:37:34	ga_ls7e_ard_3-0-0_095075_2008-05-18_final
2008-08-22 09:37:07	ga_ls7e_ard_3-0-0_095076_2008-08-22_final
2009-06-06 09:38:26	ga_ls7e_ard_3-0-0_095076_2009-06-06_final
2010-08-28 09:41:52	ga_ls7e_ard_3-0-0_095080_2010-08-28_final
2011-12-21 09:43:53	ga_ls7e_ard_3-0-0_095081_2011-12-21_final
2012-01-06 09:41:37	ga_ls7e_ard_3-0-0_095075_2012-01-06_final
2013-03-13 09:44:08	ga_ls7e_ard_3-0-0_095076_2013-03-13_final
2013-11-24 09:43:50	ga_ls7e_ard_3-0-0_095075_2013-11-24_final
2013-12-26 09:46:24	ga_ls7e_ard_3-0-0_095081_2013-12-26_final
2014-11-27 09:45:55	ga_ls7e_ard_3-0-0_095075_2014-11-27_final
2015-03-19 09:46:36	ga_ls7e_ard_3-0-0_095075_2015-03-19_final
2015-06-03 11:51:32	ga_ls7e_ard_3-1-0_115077_2015-06-03_final
2015-07-25 09:50:57	ga_ls7e_ard_3-0-0_095084_2015-07-25_final
2015-08-10 09:47:02	ga_ls7e_ard_3-0-0_095074_2015-08-10_final
2015-10-13 09:49:45	ga_ls7e_ard_3-0-0_095080_2015-10-13_final
2015-11-30 09:50:30	ga_ls7e_ard_3-0-0_095080_2015-11-30_final
2016-04-18 11:53:54	ga_ls7e_ard_3-0-0_115076_2016-04-18_final
2016-08-12 09:49:49	ga_ls7e_ard_3-0-0_095074_2016-08-12_final
2016-10-15 09:53:08	ga_ls7e_ard_3-0-0_095082_2016-10-15_final
2017-04-05 11:54:16	ga_ls7e_ard_3-0-0_115077_2017-04-05_final
2017-05-11 09:52:04	ga_ls7e_ard_3-0-0_095080_2017-05-11_final
2017-07-30 09:51:50	ga_ls7e_ard_3-1-0_095079_2017-07-30_final
2019-02-10 09:41:35	ga_ls7e_ard_3-0-0_095075_2019-02-10_final
2019-02-10 09:43:11	ga_ls7e_ard_3-1-0_095079_2019-02-10_final
2019-04-15 09:43:05	ga_ls7e_ard_3-0-0_095084_2019-04-15_final
2019-07-04 09:38:30	ga_ls7e_ard_3-0-0_095080_2019-07-04_final
2021-02-11 09:27:28	ga_ls7e_ard_3-2-0_099074_2021-02-10_final
2021-02-14 09:58:56	ga_ls7e_ard_3-2-0_104076_2021-02-14_final
2021-02-17 10:32:48	ga_ls7e_ard_3-2-0_109084_2021-02-17_final
2021-02-28 08:32:57	ga_ls7e_ard_3-2-0_090080_2021-02-27_final
2021-03-08 09:20:10	ga_ls7e_ard_3-2-0_098076_2021-03-07_final
2021-03-12 08:56:19	ga_ls7e_ard_3-2-0_094079_2021-03-11_final
2021-03-25 10:00:52	ga_ls7e_ard_3-2-0_105073_2021-03-25_final
2021-04-09 09:16:46	ga_ls7e_ard_3-2-0_098074_2021-04-08_final
2021-04-19 09:51:01	ga_ls7e_ard_3-2-0_104069_2021-04-19_final
2021-04-29 10:28:03	ga_ls7e_ard_3-2-0_110071_2021-04-29_final
2021-05-04 10:51:22	ga_ls7e_ard_3-2-0_113084_2021-05-04_final
2021-05-08 08:45:02	ga_ls7e_ard_3-2-0_093078_2021-05-07_final
2021-06-12 10:51:05	ga_ls7e_ard_3-2-0_114076_2021-06-12_final
2021-06-16 08:47:09	ga_ls7e_ard_3-2-0_094076_2021-06-15_final
2021-07-05 09:15:40	ga_ls7e_ard_3-2-0_099074_2021-07-04_final
2021-07-06 08:23:10	ga_ls7e_ard_3-2-0_090082_2021-07-05_final
2021-07-07 10:46:01	ga_ls7e_ard_3-2-0_113084_2021-07-07_final
2021-07-11 10:18:10	ga_ls7e_ard_3-2-0_109077_2021-07-11_final
2021-07-17 09:40:34	ga_ls7e_ard_3-2-0_103077_2021-07-17_final
2021-07-23 10:42:15	ga_ls7e_ard_3-2-0_113078_2021-07-23_final
2021-08-05 10:11:48	ga_ls7e_ard_3-2-0_108082_2021-08-05_final
2021-08-24 09:01:45	ga_ls7e_ard_3-2-0_097081_2021-08-23_final
2021-08-29 09:17:28	ga_ls7e_ard_3-2-0_100075_2021-08-28_final
2021-09-06 08:27:44	ga_ls7e_ard_3-2-0_092076_2021-09-05_final
2021-09-11 10:26:18	ga_ls7e_ard_3-2-0_111080_2021-09-11_final
2021-09-16 10:42:48	ga_ls7e_ard_3-2-0_114076_2021-09-16_final
2021-09-22 08:27:07	ga_ls7e_ard_3-2-0_092078_2021-09-21_final
2021-09-22 10:07:11	ga_ls7e_ard_3-2-0_108081_2021-09-22_final
2021-09-23 09:08:41	ga_ls7e_ard_3-2-0_099074_2021-09-22_final
2021-09-27 10:24:28	ga_ls7e_ard_3-2-0_111079_2021-09-27_final
2021-09-30 09:16:14	ga_ls7e_ard_3-2-0_100079_2021-09-29_final
2021-10-01 09:59:24	ga_ls7e_ard_3-2-0_107079_2021-10-01_final
2021-10-02 09:04:30	ga_ls7e_ard_3-2-0_098081_2021-10-01_final
2021-10-05 09:33:08	ga_ls7e_ard_3-2-0_103076_2021-10-05_final
2021-10-06 08:39:02	ga_ls7e_ard_3-2-0_094080_2021-10-05_final
2021-10-08 08:26:29	ga_ls7e_ard_3-2-0_092080_2021-10-07_final
2021-10-08 10:03:46	ga_ls7e_ard_3-2-0_108076_2021-10-08_final
2021-10-18 08:59:53	ga_ls7e_ard_3-2-0_098073_2021-10-17_final
2021-10-20 08:52:08	ga_ls7e_ard_3-2-0_096085_2021-10-19_final
2021-10-22 10:16:29	ga_ls7e_ard_3-2-0_110080_2021-10-22_final
2021-10-27 10:33:46	ga_ls7e_ard_3-2-0_113078_2021-10-27_final
2021-11-14 10:20:29	ga_ls7e_ard_3-2-1_111080_2021-11-14_final
2021-11-22 09:27:52	ga_ls7e_ard_3-2-1_103074_2021-11-21_final
2021-12-04 08:15:47	ga_ls7e_ard_3-2-1_091082_2021-12-03_final
2021-12-09 08:31:51	ga_ls7e_ard_3-2-1_094077_2021-12-08_final
2021-12-11 09:59:22	ga_ls7e_ard_3-2-1_108080_2021-12-11_final
2021-12-12 09:02:04	ga_ls7e_ard_3-2-1_099076_2021-12-11_final
2021-12-14 08:51:54	ga_ls7e_ard_3-2-1_097082_2021-12-13_final
2022-01-01 08:38:34	ga_ls7e_ard_3-2-1_095084_2021-12-31_final
2022-01-06 08:53:25	ga_ls7e_ard_3-2-1_098076_2022-01-05_final
2022-01-07 09:38:34	ga_ls7e_ard_3-2-1_105081_2022-01-07_final
2022-02-02 08:35:28	ga_ls7e_ard_3-2-1_095084_2022-02-01_final
2022-02-20 08:20:53	ga_ls7e_ard_3-2-1_093083_2022-02-19_final
2022-02-25 10:14:38	ga_ls7e_ard_3-2-1_112075_2022-02-25_final
2022-03-19 09:37:22	ga_ls7e_ard_3-2-1_106080_2022-03-19_final
2022-03-24 08:15:22	ga_ls7e_ard_3-2-1_093077_2022-03-23_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