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
2000-11-26 09:03:16	ga_ls7e_ard_3-1-0_089081_2000-11-25_final
2000-12-13 11:26:39	ga_ls7e_ard_3-1-0_112084_2000-12-13_final
2001-02-15 11:26:41	ga_ls7e_ard_3-1-0_112084_2001-02-15_final
2002-07-18 09:09:01	ga_ls7e_ard_3-1-0_090085_2002-07-17_final
2003-01-22 09:29:06	ga_ls7e_ard_3-1-0_094073_2003-01-21_final
2003-08-16 11:22:40	ga_ls7e_ard_3-1-0_112079_2003-08-16_final
2003-12-28 09:11:11	ga_ls7e_ard_3-1-0_090089_2003-12-27_final
2004-02-08 11:23:22	ga_ls7e_ard_3-1-0_112079_2004-02-08_final
2004-05-15 10:28:14	ga_ls7e_ard_3-1-0_103080_2004-05-15_final
2005-06-29 09:29:49	ga_ls7e_ard_3-1-0_093088_2005-06-28_final
2005-12-06 09:28:02	ga_ls7e_ard_3-1-0_093083_2005-12-05_final
2007-06-03 09:28:41	ga_ls7e_ard_3-1-0_093083_2007-06-02_final
2007-06-03 09:29:53	ga_ls7e_ard_3-1-0_093086_2007-06-02_final
2007-07-02 10:31:28	ga_ls7e_ard_3-1-0_104070_2007-07-02_final
2008-09-06 10:30:13	ga_ls7e_ard_3-1-0_104070_2008-09-06_final
2008-10-16 11:22:57	ga_ls7e_ard_3-1-0_112079_2008-10-16_final
2008-12-30 09:29:39	ga_ls7e_ard_3-1-0_093087_2008-12-29_final
2009-03-15 09:09:39	ga_ls7e_ard_3-1-0_090082_2009-03-14_final
2009-05-04 10:31:38	ga_ls7e_ard_3-1-0_104070_2009-05-04_final
2010-04-13 11:28:28	ga_ls7e_ard_3-1-0_112084_2010-04-13_final
2010-06-08 10:33:22	ga_ls7e_ard_3-1-0_104070_2010-06-08_final
2010-09-12 10:33:31	ga_ls7e_ard_3-1-0_104070_2010-09-12_final
2011-03-30 09:06:31	ga_ls7e_ard_3-1-0_089081_2011-03-29_final
2011-05-01 09:06:32	ga_ls7e_ard_3-1-0_089081_2011-04-30_final
2011-06-18 09:06:29	ga_ls7e_ard_3-1-0_089081_2011-06-17_final
2011-11-28 09:38:19	ga_ls7e_ard_3-1-0_094083_2011-11-28_final
2012-05-10 09:15:20	ga_ls7e_ard_3-1-0_090085_2012-05-09_final
2012-05-28 10:35:45	ga_ls7e_ard_3-1-0_104070_2012-05-28_final
2013-01-23 10:37:25	ga_ls7e_ard_3-1-0_104070_2013-01-23_final
2013-07-02 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-07-02_final
2013-09-04 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-09-04_final
2013-09-23 09:35:44	ga_ls7e_ard_3-1-0_093087_2013-09-23_final
2014-03-18 09:36:55	ga_ls7e_ard_3-1-0_093087_2014-03-18_final
2015-10-12 10:41:22	ga_ls7e_ard_3-1-0_104070_2015-10-12_final
2015-12-07 11:34:29	ga_ls7e_ard_3-1-0_112077_2015-12-07_final
2016-06-08 10:43:45	ga_ls7e_ard_3-1-0_104070_2016-06-08_final
2016-11-23 11:38:47	ga_ls7e_ard_3-1-0_112084_2016-11-23_final
2016-12-01 10:43:44	ga_ls7e_ard_3-1-0_104070_2016-12-01_final
2017-05-29 09:42:34	ga_ls7e_ard_3-1-0_093087_2017-05-29_final
2017-07-13 10:43:53	ga_ls7e_ard_3-1-0_104070_2017-07-13_final
2018-07-16 10:40:20	ga_ls7e_ard_3-1-0_104070_2018-07-16_final
2018-08-01 10:40:04	ga_ls7e_ard_3-1-0_104070_2018-08-01_final
2018-08-17 10:39:46	ga_ls7e_ard_3-1-0_104070_2018-08-17_final
2019-02-16 09:05:31	ga_ls7e_ard_3-1-0_089078_2019-02-15_final
2019-02-17 11:26:50	ga_ls7e_ard_3-1-0_112076_2019-02-17_final
2019-02-25 10:35:33	ga_ls7e_ard_3-1-0_104072_2019-02-25_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-03-26 10:07:42	ga_ls7e_ard_3-1-0_099082_2019-03-26_final
2019-08-20 10:28:14	ga_ls7e_ard_3-1-0_104070_2019-08-20_final
2019-08-25 10:47:22	ga_ls7e_ard_3-1-0_107072_2019-08-25_final
2019-09-21 10:26:50	ga_ls7e_ard_3-1-0_104070_2019-09-21_final
2019-09-26 10:48:45	ga_ls7e_ard_3-1-0_107079_2019-09-26_final
2019-10-07 10:26:10	ga_ls7e_ard_3-1-0_104070_2019-10-07_final
2019-10-12 10:47:42	ga_ls7e_ard_3-1-0_107078_2019-10-12_final
2019-10-15 11:18:04	ga_ls7e_ard_3-1-0_112077_2019-10-15_final
2019-10-17 09:29:32	ga_ls7e_ard_3-1-0_094084_2019-10-16_final
2019-10-23 10:29:29	ga_ls7e_ard_3-1-0_104080_2019-10-23_final
2019-10-31 11:16:59	ga_ls7e_ard_3-1-0_112076_2019-10-31_final
2019-11-07 11:22:51	ga_ls7e_ard_3-1-0_113076_2019-11-07_final
2019-11-11 10:58:21	ga_ls7e_ard_3-1-0_109077_2019-11-11_final
2019-11-13 10:44:18	ga_ls7e_ard_3-1-0_107073_2019-11-13_final
2019-11-16 11:16:15	ga_ls7e_ard_3-1-0_112076_2019-11-16_final
2019-11-16 11:18:39	ga_ls7e_ard_3-1-0_112082_2019-11-16_final
2019-11-24 10:24:02	ga_ls7e_ard_3-1-0_104070_2019-11-24_final
2019-12-13 09:21:31	ga_ls7e_ard_3-1-0_093086_2019-12-12_final
2019-12-26 10:24:02	ga_ls7e_ard_3-1-0_104074_2019-12-26_final
2020-01-11 10:23:36	ga_ls7e_ard_3-1-0_104075_2020-01-11_final
2020-01-11 10:24:24	ga_ls7e_ard_3-1-0_104077_2020-01-11_final
2020-01-14 09:17:52	ga_ls7e_ard_3-1-0_093081_2020-01-13_final
2020-01-19 11:12:39	ga_ls7e_ard_3-1-0_112075_2020-01-19_final
2020-01-20 10:19:23	ga_ls7e_ard_3-1-0_103081_2020-01-20_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-02-04 11:12:15	ga_ls7e_ard_3-1-0_112076_2020-02-04_final
2020-02-06 09:24:54	ga_ls7e_ard_3-1-0_094086_2020-02-05_final
2020-02-11 11:19:16	ga_ls7e_ard_3-1-0_113079_2020-02-11_final
2020-02-12 10:23:12	ga_ls7e_ard_3-1-0_104078_2020-02-12_final
2020-03-04 10:39:50	ga_ls7e_ard_3-1-0_107076_2020-03-04_final
2020-03-13 08:54:41	ga_ls7e_ard_3-1-0_090077_2020-03-12_final
2020-03-13 08:55:05	ga_ls7e_ard_3-1-0_090078_2020-03-12_final
2020-03-18 09:12:09	ga_ls7e_ard_3-1-0_093075_2020-03-17_final
2020-03-20 10:40:09	ga_ls7e_ard_3-1-0_107079_2020-03-20_final
2020-03-28 09:46:17	ga_ls7e_ard_3-1-0_099069_2020-03-28_final
2020-04-15 11:15:22	ga_ls7e_ard_3-1-0_113078_2020-04-15_final
2020-04-19 10:51:12	ga_ls7e_ard_3-1-0_109080_2020-04-19_final
2020-04-21 10:36:20	ga_ls7e_ard_3-1-0_107074_2020-04-21_final
2020-04-24 11:07:51	ga_ls7e_ard_3-1-0_112076_2020-04-24_final
2020-04-25 10:13:46	ga_ls7e_ard_3-1-0_103080_2020-04-25_final
2022-03-13 08:33:47	ga_ls7e_ard_3-2-1_096074_2022-03-12_final
2022-03-15 10:00:06	ga_ls7e_ard_3-2-1_110074_2022-03-15_final
2022-03-20 08:39:16	ga_ls7e_ard_3-2-1_097074_2022-03-19_final
2022-03-22 08:27:07	ga_ls7e_ard_3-2-1_095075_2022-03-21_final
2022-03-27 08:44:47	ga_ls7e_ard_3-2-1_098074_2022-03-26_final
2022-03-27 08:45:35	ga_ls7e_ard_3-2-1_098076_2022-03-26_final
2022-03-27 10:24:52	ga_ls7e_ard_3-2-1_114077_2022-03-27_final
2022-03-28 09:28:21	ga_ls7e_ard_3-2-1_105075_2022-03-27_final
2022-03-31 10:00:58	ga_ls7e_ard_3-2-1_110080_2022-03-31_final
2022-03-31 10:01:22	ga_ls7e_ard_3-2-1_110081_2022-03-31_final
2022-04-02 09:48:48	ga_ls7e_ard_3-2-1_108081_2022-04-02_final
2022-04-04 09:33:51	ga_ls7e_ard_3-2-1_106075_2022-04-04_final
2022-04-05 10:19:24	ga_ls7e_ard_3-2-1_113081_2022-04-05_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