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
1999-07-15 11:09:19	ga_ls7e_ard_3-1-0_109081_1999-07-15_final
1999-07-22 11:11:53	ga_ls7e_ard_3-1-0_110072_1999-07-22_final
2000-01-02 10:49:11	ga_ls7e_ard_3-1-0_106077_2000-01-02_final
2000-01-28 11:29:04	ga_ls7e_ard_3-1-0_112084_2000-01-28_final
2001-07-12 10:14:03	ga_ls7e_ard_3-1-0_101075_2001-07-12_final
2002-10-06 10:45:41	ga_ls7e_ard_3-1-0_106081_2002-10-06_final
2003-01-18 09:56:36	ga_ls7e_ard_3-1-0_098080_2003-01-18_final
2003-05-12 11:22:12	ga_ls7e_ard_3-1-0_112077_2003-05-12_final
2004-09-18 09:01:32	ga_ls7e_ard_3-1-0_089081_2004-09-17_final
2004-11-08 09:33:32	ga_ls7e_ard_3-1-0_094083_2004-11-08_final
2004-11-28 09:08:35	ga_ls7e_ard_3-1-0_090082_2004-11-27_final
2005-05-07 09:10:18	ga_ls7e_ard_3-1-0_090085_2005-05-06_final
2005-05-08 09:49:58	ga_ls7e_ard_3-1-0_097076_2005-05-08_final
2005-05-23 09:10:17	ga_ls7e_ard_3-1-0_090085_2005-05-22_final
2005-07-19 09:02:20	ga_ls7e_ard_3-1-0_089081_2005-07-18_final
2005-12-11 11:23:05	ga_ls7e_ard_3-1-0_112077_2005-12-11_final
2005-12-30 10:14:25	ga_ls7e_ard_3-1-0_101075_2005-12-30_final
2006-02-19 10:46:27	ga_ls7e_ard_3-1-0_106077_2006-02-19_final
2006-06-16 09:28:26	ga_ls7e_ard_3-1-0_093083_2006-06-15_final
2006-08-23 09:02:34	ga_ls7e_ard_3-1-0_089081_2006-08-22_final
2007-06-03 09:28:41	ga_ls7e_ard_3-1-0_093083_2007-06-02_final
2007-11-10 11:06:35	ga_ls7e_ard_3-1-0_109081_2007-11-10_final
2008-01-25 09:50:42	ga_ls7e_ard_3-1-0_097076_2008-01-25_final
2008-04-06 09:03:03	ga_ls7e_ard_3-1-0_089081_2008-04-05_final
2008-06-26 11:25:29	ga_ls7e_ard_3-1-0_112083_2008-06-26_final
2009-03-31 10:45:51	ga_ls7e_ard_3-1-0_106075_2009-03-31_final
2009-07-31 11:26:30	ga_ls7e_ard_3-1-0_112084_2009-07-31_final
2009-10-09 10:44:49	ga_ls7e_ard_3-1-0_106073_2009-10-09_final
2009-11-03 09:03:21	ga_ls7e_ard_3-1-0_089081_2009-11-02_final
2010-03-18 10:47:44	ga_ls7e_ard_3-1-0_106075_2010-03-18_final
2010-11-15 10:33:57	ga_ls7e_ard_3-1-0_104070_2010-11-15_final
2011-01-13 10:17:57	ga_ls7e_ard_3-1-0_101075_2011-01-13_final
2011-03-24 11:22:50	ga_ls7e_ard_3-1-0_111082_2011-03-24_final
2011-05-17 09:06:28	ga_ls7e_ard_3-1-0_089081_2011-05-16_final
2011-06-27 10:34:45	ga_ls7e_ard_3-1-0_104070_2011-06-27_final
2012-01-12 09:06:57	ga_ls7e_ard_3-1-0_089081_2012-01-11_final
2012-03-12 09:30:08	ga_ls7e_ard_3-1-0_093077_2012-03-12_final
2012-03-23 09:14:49	ga_ls7e_ard_3-1-0_090085_2012-03-22_final
2012-07-26 10:19:34	ga_ls7e_ard_3-1-0_101075_2012-07-26_final
2012-09-04 09:35:22	ga_ls7e_ard_3-1-0_093087_2012-09-04_final
2012-10-17 10:51:20	ga_ls7e_ard_3-1-0_106075_2012-10-17_final
2013-01-21 09:16:52	ga_ls7e_ard_3-1-0_090085_2013-01-20_final
2013-04-07 11:15:09	ga_ls7e_ard_3-1-0_110072_2013-04-07_final
2013-10-22 10:37:17	ga_ls7e_ard_3-1-0_104070_2013-10-22_final
2013-12-19 11:16:38	ga_ls7e_ard_3-1-0_110075_2013-12-19_final
2015-02-28 09:18:21	ga_ls7e_ard_3-1-0_090082_2015-02-27_final
2015-10-10 09:20:47	ga_ls7e_ard_3-1-0_090085_2015-10-09_final
2016-07-01 09:15:29	ga_ls7e_ard_3-1-0_089081_2016-06-30_final
2016-07-27 11:31:53	ga_ls7e_ard_3-1-0_111082_2016-07-27_final
2017-07-16 11:19:11	ga_ls7e_ard_3-1-0_109081_2017-07-16_final
2017-10-15 09:22:07	ga_ls7e_ard_3-1-0_090082_2017-10-14_final
2017-10-15 09:23:19	ga_ls7e_ard_3-1-0_090085_2017-10-14_final
2017-12-10 10:10:33	ga_ls7e_ard_3-1-0_098080_2017-12-10_final
2018-04-26 11:41:24	ga_ls7e_ard_3-1-0_113080_2018-04-26_final
2018-07-24 11:35:14	ga_ls7e_ard_3-1-0_112084_2018-07-24_final
2019-02-19 11:17:13	ga_ls7e_ard_3-1-0_110083_2019-02-19_final
2019-03-06 10:29:29	ga_ls7e_ard_3-1-0_103073_2019-03-06_final
2019-03-10 10:08:14	ga_ls7e_ard_3-1-0_099082_2019-03-10_final
2019-03-13 10:34:15	ga_ls7e_ard_3-1-0_104070_2019-03-13_final
2019-03-17 10:12:59	ga_ls7e_ard_3-1-0_100079_2019-03-17_final
2019-03-18 10:53:01	ga_ls7e_ard_3-1-0_107071_2019-03-18_final
2019-05-23 09:03:21	ga_ls7e_ard_3-1-0_089081_2019-05-22_final
2019-09-16 10:09:43	ga_ls7e_ard_3-1-0_101073_2019-09-16_final
2019-09-25 10:04:20	ga_ls7e_ard_3-1-0_100076_2019-09-25_final
2019-09-28 08:59:02	ga_ls7e_ard_3-1-0_089083_2019-09-27_final
2019-09-30 10:24:16	ga_ls7e_ard_3-1-0_103080_2019-09-30_final
2019-09-30 10:25:04	ga_ls7e_ard_3-1-0_103082_2019-09-30_final
2019-10-08 11:14:59	ga_ls7e_ard_3-1-0_111084_2019-10-08_final
2019-10-13 09:48:51	ga_ls7e_ard_3-1-0_098070_2019-10-13_final
2019-10-22 09:43:53	ga_ls7e_ard_3-1-0_097074_2019-10-22_final
2019-11-06 09:03:09	ga_ls7e_ard_3-1-0_090082_2019-11-05_final
2019-11-07 11:25:14	ga_ls7e_ard_3-1-0_113082_2019-11-07_final
2019-11-09 11:07:12	ga_ls7e_ard_3-1-0_111068_2019-11-09_final
2019-11-22 09:05:12	ga_ls7e_ard_3-1-0_090089_2019-11-21_final
2019-11-27 10:57:59	ga_ls7e_ard_3-1-0_109078_2019-11-27_final
2019-12-04 09:27:20	ga_ls7e_ard_3-1-0_094084_2019-12-03_final
2019-12-04 09:27:44	ga_ls7e_ard_3-1-0_094085_2019-12-03_final
2019-12-15 10:42:44	ga_ls7e_ard_3-1-0_107073_2019-12-15_final
2019-12-19 10:17:49	ga_ls7e_ard_3-1-0_103073_2019-12-19_final
2019-12-29 10:53:11	ga_ls7e_ard_3-1-0_109070_2019-12-29_final
2020-01-09 08:58:47	ga_ls7e_ard_3-1-0_090079_2020-01-08_final
2020-01-09 09:03:10	ga_ls7e_ard_3-1-0_090090_2020-01-08_final
2020-01-10 09:41:35	ga_ls7e_ard_3-1-0_097078_2020-01-10_final
2020-01-10 11:22:04	ga_ls7e_ard_3-1-0_113082_2020-01-10_final
2020-01-25 09:02:23	ga_ls7e_ard_3-1-0_090090_2020-01-24_final
2020-01-30 09:18:17	ga_ls7e_ard_3-1-0_093084_2020-01-29_final
2020-02-04 11:14:15	ga_ls7e_ard_3-1-0_112081_2020-02-04_final
2020-02-10 08:58:23	ga_ls7e_ard_3-1-0_090082_2020-02-09_final
2020-02-23 10:04:05	ga_ls7e_ard_3-1-0_101078_2020-02-23_final
2020-03-05 11:24:38	ga_ls7e_ard_3-1-0_114080_2020-03-05_final
2020-03-09 09:22:49	ga_ls7e_ard_3-1-0_094085_2020-03-08_final
2020-03-09 11:00:30	ga_ls7e_ard_3-1-0_110082_2020-03-09_final
2020-03-14 09:40:41	ga_ls7e_ard_3-1-0_097084_2020-03-14_final
2020-03-21 09:43:41	ga_ls7e_ard_3-1-0_098077_2020-03-21_final
2020-03-29 10:30:17	ga_ls7e_ard_3-1-0_106071_2020-03-29_final
2020-04-13 09:50:33	ga_ls7e_ard_3-1-0_099082_2020-04-13_final
2020-04-19 09:10:20	ga_ls7e_ard_3-1-0_093075_2020-04-18_final
2020-04-26 10:57:46	ga_ls7e_ard_3-1-0_110082_2020-04-26_final
2022-03-22 08:30:19	ga_ls7e_ard_3-2-1_095083_2022-03-21_final
2022-03-26 09:43:18	ga_ls7e_ard_3-2-1_107081_2022-03-26_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