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 09:37:30	ga_ls7e_ard_3-1-0_094083_1999-08-23_final
2000-07-24 09:35:53	ga_ls7e_ard_3-1-0_094083_2000-07-24_final
2001-05-14 10:31:07	ga_ls7e_ard_3-1-0_104070_2001-05-14_final
2001-07-17 10:30:34	ga_ls7e_ard_3-1-0_104070_2001-07-17_final
2001-12-08 10:29:47	ga_ls7e_ard_3-1-0_104070_2001-12-08_final
2002-09-06 10:29:13	ga_ls7e_ard_3-1-0_104070_2002-09-06_final
2003-10-05 09:32:46	ga_ls7e_ard_3-1-0_094083_2003-10-05_final
2003-10-21 09:30:06	ga_ls7e_ard_3-1-0_094076_2003-10-21_final
2003-12-08 09:30:08	ga_ls7e_ard_3-1-0_094075_2003-12-08_final
2005-04-07 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-04-07_final
2005-04-23 10:30:46	ga_ls7e_ard_3-1-0_104070_2005-04-23_final
2005-07-22 09:30:02	ga_ls7e_ard_3-1-0_094073_2005-07-22_final
2006-05-21 10:25:07	ga_ls7e_ard_3-1-0_103070_2006-05-21_final
2006-07-15 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-07-15_final
2006-09-27 09:30:04	ga_ls7e_ard_3-1-0_094073_2006-09-27_final
2006-11-04 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-11-04_final
2006-12-10 10:11:02	ga_ls7e_ard_3-1-0_100081_2006-12-10_final
2008-05-17 10:31:12	ga_ls7e_ard_3-1-0_104070_2008-05-17_final
2008-09-16 09:29:55	ga_ls7e_ard_3-1-0_094074_2008-09-15_final
2009-04-21 09:30:00	ga_ls7e_ard_3-1-0_093086_2009-04-21_final
2009-05-04 10:31:38	ga_ls7e_ard_3-1-0_104070_2009-05-04_final
2010-02-20 10:12:03	ga_ls7e_ard_3-1-0_100079_2010-02-20_final
2010-03-23 09:30:12	ga_ls7e_ard_3-1-0_093082_2010-03-23_final
2010-03-23 09:30:36	ga_ls7e_ard_3-1-0_093083_2010-03-23_final
2011-02-22 09:29:55	ga_ls7e_ard_3-1-0_093078_2011-02-21_final
2011-04-27 09:33:38	ga_ls7e_ard_3-1-0_093087_2011-04-27_final
2011-08-14 10:34:38	ga_ls7e_ard_3-1-0_104070_2011-08-14_final
2011-10-01 10:34:29	ga_ls7e_ard_3-1-0_104070_2011-10-01_final
2012-04-26 10:35:33	ga_ls7e_ard_3-1-0_104070_2012-04-26_final
2012-07-25 09:39:30	ga_ls7e_ard_3-1-0_094083_2012-07-25_final
2012-12-06 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-12-06_final
2013-04-29 10:37:08	ga_ls7e_ard_3-1-0_104070_2013-04-29_final
2013-05-15 10:37:06	ga_ls7e_ard_3-1-0_104070_2013-05-15_final
2014-03-31 10:38:12	ga_ls7e_ard_3-1-0_104070_2014-03-31_final
2014-08-06 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-08-06_final
2014-11-10 10:39:29	ga_ls7e_ard_3-1-0_104070_2014-11-10_final
2015-04-22 09:37:39	ga_ls7e_ard_3-1-0_093083_2015-04-22_final
2015-10-15 09:38:38	ga_ls7e_ard_3-1-0_093083_2015-10-15_final
2016-04-21 10:43:32	ga_ls7e_ard_3-1-0_104070_2016-04-21_final
2016-09-28 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-09-28_final
2017-02-22 09:40:27	ga_ls7e_ard_3-1-0_093083_2017-02-22_final
2017-06-16 11:02:47	ga_ls7e_ard_3-1-0_107071_2017-06-16_final
2017-09-15 10:43:49	ga_ls7e_ard_3-1-0_104070_2017-09-15_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2019-02-19 09:38:20	ga_ls7e_ard_3-1-0_094083_2019-02-19_final
2019-02-22 10:04:21	ga_ls7e_ard_3-1-0_099071_2019-02-22_final
2019-02-22 10:08:44	ga_ls7e_ard_3-1-0_099082_2019-02-22_final
2019-03-18 10:52:37	ga_ls7e_ard_3-1-0_107070_2019-03-18_final
2019-05-29 10:02:09	ga_ls7e_ard_3-1-0_099074_2019-05-29_final
2019-07-29 09:26:09	ga_ls7e_ard_3-1-0_094067_2019-07-28_final
2019-08-25 10:49:21	ga_ls7e_ard_3-1-0_107077_2019-08-25_final
2019-09-02 09:55:35	ga_ls7e_ard_3-1-0_099067_2019-09-02_final
2019-09-14 10:22:10	ga_ls7e_ard_3-1-0_103073_2019-09-14_final
2019-09-15 09:29:18	ga_ls7e_ard_3-1-0_094080_2019-09-14_final
2019-09-18 09:55:17	ga_ls7e_ard_3-1-0_099068_2019-09-18_final
2019-09-25 10:05:32	ga_ls7e_ard_3-1-0_100079_2019-09-25_final
2019-09-26 10:48:45	ga_ls7e_ard_3-1-0_107079_2019-09-26_final
2019-09-29 11:20:44	ga_ls7e_ard_3-1-0_112082_2019-09-29_final
2019-10-01 09:26:37	ga_ls7e_ard_3-1-0_094075_2019-09-30_final
2019-10-07 10:26:58	ga_ls7e_ard_3-1-0_104072_2019-10-07_final
2019-10-10 09:21:40	ga_ls7e_ard_3-1-0_093079_2019-10-09_final
2019-10-10 09:22:04	ga_ls7e_ard_3-1-0_093080_2019-10-09_final
2019-10-11 10:06:05	ga_ls7e_ard_3-1-0_100082_2019-10-11_final
2019-10-20 09:53:56	ga_ls7e_ard_3-1-0_099068_2019-10-20_final
2019-11-05 09:57:37	ga_ls7e_ard_3-1-0_099079_2019-11-05_final
2019-11-11 09:19:52	ga_ls7e_ard_3-1-0_093078_2019-11-10_final
2019-11-29 10:45:56	ga_ls7e_ard_3-1-0_107079_2019-11-29_final
2019-12-03 10:17:01	ga_ls7e_ard_3-1-0_103069_2019-12-03_final
2019-12-07 09:56:06	ga_ls7e_ard_3-1-0_099079_2019-12-07_final
2019-12-15 10:41:33	ga_ls7e_ard_3-1-0_107070_2019-12-15_final
2019-12-15 10:42:44	ga_ls7e_ard_3-1-0_107073_2019-12-15_final
2019-12-19 10:20:37	ga_ls7e_ard_3-1-0_103080_2019-12-19_final
2020-01-03 11:14:39	ga_ls7e_ard_3-1-0_112078_2020-01-03_final
2020-01-05 09:22:06	ga_ls7e_ard_3-1-0_094075_2020-01-04_final
2020-01-05 09:22:54	ga_ls7e_ard_3-1-0_094077_2020-01-04_final
2020-01-08 09:51:39	ga_ls7e_ard_3-1-0_099072_2020-01-08_final
2020-01-24 09:54:52	ga_ls7e_ard_3-1-0_099082_2020-01-24_final
2020-02-01 10:43:30	ga_ls7e_ard_3-1-0_107081_2020-02-01_final
2020-02-09 09:51:16	ga_ls7e_ard_3-1-0_099075_2020-02-09_final
2020-02-15 09:17:52	ga_ls7e_ard_3-1-0_093085_2020-02-14_final
2020-02-17 10:39:29	ga_ls7e_ard_3-1-0_107073_2020-02-17_final
2020-02-28 10:23:09	ga_ls7e_ard_3-1-0_104080_2020-02-28_final
2020-03-09 09:21:13	ga_ls7e_ard_3-1-0_094081_2020-03-08_final
2020-03-23 11:09:18	ga_ls7e_ard_3-1-0_112075_2020-03-23_final
2020-03-23 11:09:42	ga_ls7e_ard_3-1-0_112076_2020-03-23_final
2020-03-31 10:16:37	ga_ls7e_ard_3-1-0_104068_2020-03-31_final
2020-04-05 10:40:51	ga_ls7e_ard_3-1-0_107083_2020-04-05_final
2020-04-10 09:17:50	ga_ls7e_ard_3-1-0_094077_2020-04-09_final
2020-04-19 09:11:31	ga_ls7e_ard_3-1-0_093078_2020-04-18_final
2022-03-13 10:12:40	ga_ls7e_ard_3-2-1_112074_2022-03-13_final
2022-03-13 10:13:28	ga_ls7e_ard_3-2-1_112076_2022-03-13_final
2022-03-13 10:16:15	ga_ls7e_ard_3-2-1_112083_2022-03-13_final
2022-03-15 10:00:30	ga_ls7e_ard_3-2-1_110075_2022-03-15_final
2022-03-19 07:58:30	ga_ls7e_ard_3-2-1_090080_2022-03-18_final
2022-03-23 09:10:17	ga_ls7e_ard_3-2-1_102075_2022-03-22_final
2022-03-24 08:18:34	ga_ls7e_ard_3-2-1_093085_2022-03-23_final
2022-03-24 09:55:03	ga_ls7e_ard_3-2-1_109079_2022-03-24_final
2022-03-28 09:28:45	ga_ls7e_ard_3-2-1_105076_2022-03-27_final
2022-03-29 08:36:14	ga_ls7e_ard_3-2-1_096084_2022-03-28_final
2022-03-31 08:22:29	ga_ls7e_ard_3-2-1_094081_2022-03-30_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