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
1999-07-16 10:13:42	ga_ls7e_ard_3-1-0_100081_1999-07-16_final
2000-04-03 09:37:06	ga_ls7e_ard_3-1-0_094083_2000-04-03_final
2000-05-11 10:33:21	ga_ls7e_ard_3-1-0_104070_2000-05-11_final
2000-06-26 09:12:24	ga_ls7e_ard_3-1-0_090085_2000-06-25_final
2001-03-11 10:31:33	ga_ls7e_ard_3-1-0_104070_2001-03-11_final
2001-06-25 09:33:59	ga_ls7e_ard_3-1-0_094083_2001-06-25_final
2001-07-06 10:49:32	ga_ls7e_ard_3-1-0_107071_2001-07-06_final
2002-03-30 10:30:01	ga_ls7e_ard_3-1-0_104070_2002-03-30_final
2002-08-21 10:29:21	ga_ls7e_ard_3-1-0_104070_2002-08-21_final
2002-09-22 10:29:00	ga_ls7e_ard_3-1-0_104070_2002-09-22_final
2003-05-02 09:09:27	ga_ls7e_ard_3-1-0_090085_2003-05-01_final
2003-05-08 10:09:39	ga_ls7e_ard_3-1-0_100081_2003-05-08_final
2003-08-28 10:09:16	ga_ls7e_ard_3-1-0_100081_2003-08-28_final
2003-11-06 09:29:50	ga_ls7e_ard_3-1-0_094075_2003-11-05_final
2004-05-15 10:23:50	ga_ls7e_ard_3-1-0_103069_2004-05-15_final
2004-05-15 10:27:02	ga_ls7e_ard_3-1-0_103077_2004-05-15_final
2004-05-15 10:28:38	ga_ls7e_ard_3-1-0_103081_2004-05-15_final
2004-10-13 10:29:47	ga_ls7e_ard_3-1-0_104070_2004-10-13_final
2004-10-29 10:30:03	ga_ls7e_ard_3-1-0_104070_2004-10-29_final
2004-12-24 11:25:33	ga_ls7e_ard_3-1-0_112084_2004-12-24_final
2005-12-23 10:10:33	ga_ls7e_ard_3-1-0_100081_2005-12-23_final
2006-01-08 10:10:43	ga_ls7e_ard_3-1-0_100081_2006-01-08_final
2007-10-22 10:31:06	ga_ls7e_ard_3-1-0_104070_2007-10-22_final
2008-03-01 09:28:14	ga_ls7e_ard_3-1-0_093082_2008-02-29_final
2008-03-01 09:28:38	ga_ls7e_ard_3-1-0_093083_2008-02-29_final
2008-09-30 11:23:01	ga_ls7e_ard_3-1-0_112079_2008-09-30_final
2008-10-16 11:22:57	ga_ls7e_ard_3-1-0_112079_2008-10-16_final
2008-12-30 09:28:03	ga_ls7e_ard_3-1-0_093083_2008-12-29_final
2010-02-19 09:29:59	ga_ls7e_ard_3-1-0_093082_2010-02-18_final
2010-09-12 10:33:31	ga_ls7e_ard_3-1-0_104070_2010-09-12_final
2010-10-01 09:28:15	ga_ls7e_ard_3-1-0_093077_2010-09-30_final
2010-11-02 09:30:58	ga_ls7e_ard_3-1-0_093083_2010-11-02_final
2011-01-05 09:31:39	ga_ls7e_ard_3-1-0_093083_2011-01-05_final
2011-07-29 10:34:42	ga_ls7e_ard_3-1-0_104070_2011-07-29_final
2013-02-08 10:37:26	ga_ls7e_ard_3-1-0_104070_2013-02-08_final
2013-03-06 09:40:45	ga_ls7e_ard_3-1-0_094083_2013-03-06_final
2014-04-16 10:38:19	ga_ls7e_ard_3-1-0_104070_2014-04-16_final
2014-06-06 09:35:50	ga_ls7e_ard_3-1-0_093083_2014-06-06_final
2016-03-23 09:42:10	ga_ls7e_ard_3-1-0_093087_2016-03-23_final
2016-06-22 09:23:15	ga_ls7e_ard_3-1-0_090085_2016-06-21_final
2016-10-30 10:43:54	ga_ls7e_ard_3-1-0_104070_2016-10-30_final
2017-07-21 11:34:55	ga_ls7e_ard_3-1-0_112074_2017-07-21_final
2017-10-17 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-10-17_final
2018-05-01 10:21:21	ga_ls7e_ard_3-1-0_100081_2018-05-01_final
2018-07-16 10:40:20	ga_ls7e_ard_3-1-0_104070_2018-07-16_final
2019-02-17 11:26:50	ga_ls7e_ard_3-1-0_112076_2019-02-17_final
2019-02-23 09:12:17	ga_ls7e_ard_3-1-0_090080_2019-02-22_final
2019-02-25 10:33:57	ga_ls7e_ard_3-1-0_104068_2019-02-25_final
2019-02-28 09:30:40	ga_ls7e_ard_3-1-0_093080_2019-02-28_final
2019-03-07 09:34:38	ga_ls7e_ard_3-1-0_094075_2019-03-07_final
2019-03-18 10:58:12	ga_ls7e_ard_3-1-0_107084_2019-03-18_final
2019-07-03 10:30:10	ga_ls7e_ard_3-1-0_104070_2019-07-03_final
2019-08-02 09:08:27	ga_ls7e_ard_3-1-0_090085_2019-08-01_final
2019-09-09 10:03:51	ga_ls7e_ard_3-1-0_100073_2019-09-09_final
2019-09-10 10:45:52	ga_ls7e_ard_3-1-0_107070_2019-09-10_final
2019-09-10 10:49:04	ga_ls7e_ard_3-1-0_107078_2019-09-10_final
2019-09-14 10:20:11	ga_ls7e_ard_3-1-0_103068_2019-09-14_final
2019-09-21 10:28:50	ga_ls7e_ard_3-1-0_104075_2019-09-21_final
2019-09-24 09:20:43	ga_ls7e_ard_3-1-0_093075_2019-09-23_final
2019-10-11 10:06:28	ga_ls7e_ard_3-1-0_100083_2019-10-11_final
2019-10-26 09:22:10	ga_ls7e_ard_3-1-0_093082_2019-10-25_final
2019-10-28 10:45:01	ga_ls7e_ard_3-1-0_107073_2019-10-28_final
2019-10-28 10:47:01	ga_ls7e_ard_3-1-0_107078_2019-10-28_final
2019-10-28 10:49:00	ga_ls7e_ard_3-1-0_107083_2019-10-28_final
2019-10-31 11:19:46	ga_ls7e_ard_3-1-0_112083_2019-10-31_final
2019-11-01 10:18:31	ga_ls7e_ard_3-1-0_103069_2019-11-01_final
2019-11-06 09:01:57	ga_ls7e_ard_3-1-0_090079_2019-11-05_final
2019-11-11 09:18:16	ga_ls7e_ard_3-1-0_093074_2019-11-10_final
2019-11-12 10:04:40	ga_ls7e_ard_3-1-0_100082_2019-11-12_final
2019-11-13 10:47:29	ga_ls7e_ard_3-1-0_107081_2019-11-13_final
2019-11-18 09:23:43	ga_ls7e_ard_3-1-0_094073_2019-11-17_final
2019-11-21 09:55:17	ga_ls7e_ard_3-1-0_099075_2019-11-21_final
2019-11-24 10:24:26	ga_ls7e_ard_3-1-0_104071_2019-11-24_final
2019-12-10 10:23:15	ga_ls7e_ard_3-1-0_104070_2019-12-10_final
2019-12-10 10:26:03	ga_ls7e_ard_3-1-0_104077_2019-12-10_final
2019-12-23 09:55:41	ga_ls7e_ard_3-1-0_099080_2019-12-23_final
2019-12-29 09:17:30	ga_ls7e_ard_3-1-0_093078_2019-12-28_final
2019-12-31 10:43:31	ga_ls7e_ard_3-1-0_107077_2019-12-31_final
2020-01-03 11:13:03	ga_ls7e_ard_3-1-0_112074_2020-01-03_final
2020-01-04 10:17:23	ga_ls7e_ard_3-1-0_103074_2020-01-04_final
2020-01-08 09:50:51	ga_ls7e_ard_3-1-0_099070_2020-01-08_final
2020-01-11 10:24:00	ga_ls7e_ard_3-1-0_104076_2020-01-11_final
2020-01-21 09:23:43	ga_ls7e_ard_3-1-0_094081_2020-01-20_final
2020-02-01 10:43:06	ga_ls7e_ard_3-1-0_107080_2020-02-01_final
2020-02-06 09:24:06	ga_ls7e_ard_3-1-0_094084_2020-02-05_final
2020-02-12 10:24:00	ga_ls7e_ard_3-1-0_104080_2020-02-12_final
2020-02-15 09:14:16	ga_ls7e_ard_3-1-0_093076_2020-02-14_final
2020-02-17 10:38:41	ga_ls7e_ard_3-1-0_107071_2020-02-17_final
2020-03-02 09:12:37	ga_ls7e_ard_3-1-0_093074_2020-03-01_final
2020-03-04 10:41:02	ga_ls7e_ard_3-1-0_107079_2020-03-04_final
2020-03-31 10:17:24	ga_ls7e_ard_3-1-0_104070_2020-03-31_final
2020-04-04 09:53:16	ga_ls7e_ard_3-1-0_100072_2020-04-04_final
2020-04-05 10:35:40	ga_ls7e_ard_3-1-0_107070_2020-04-05_final
2020-04-05 10:36:28	ga_ls7e_ard_3-1-0_107072_2020-04-05_final
2020-04-09 10:14:42	ga_ls7e_ard_3-1-0_103080_2020-04-09_final
2020-04-19 09:11:55	ga_ls7e_ard_3-1-0_093079_2020-04-18_final
2022-03-17 09:50:43	ga_ls7e_ard_3-2-1_108082_2022-03-17_final
2022-03-21 09:20:02	ga_ls7e_ard_3-2-1_104068_2022-03-20_final
2022-03-22 08:28:19	ga_ls7e_ard_3-2-1_095078_2022-03-21_final
2022-03-22 08:29:07	ga_ls7e_ard_3-2-1_095080_2022-03-21_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