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
2001-03-09 09:11:02	ga_ls7e_ard_3-1-0_090085_2001-03-08_final
2001-06-04 09:16:57	ga_ls7e_ard_3-1-0_091086_2001-06-03_final
2001-10-15 11:07:20	ga_ls7e_ard_3-1-0_110072_2001-10-15_final
2003-02-18 09:15:57	ga_ls7e_ard_3-1-0_091086_2003-02-17_final
2003-03-12 10:14:37	ga_ls7e_ard_3-1-0_101078_2003-03-12_final
2005-03-07 11:18:58	ga_ls7e_ard_3-1-0_111082_2005-03-07_final
2005-06-04 09:30:09	ga_ls7e_ard_3-1-0_094073_2005-06-04_final
2005-06-05 10:14:12	ga_ls7e_ard_3-1-0_101075_2005-06-05_final
2005-08-16 09:27:45	ga_ls7e_ard_3-1-0_093083_2005-08-15_final
2006-04-01 09:02:59	ga_ls7e_ard_3-1-0_089081_2006-03-31_final
2006-04-24 10:45:36	ga_ls7e_ard_3-1-0_106075_2006-04-24_final
2006-08-03 11:06:12	ga_ls7e_ard_3-1-0_109081_2006-08-03_final
2006-12-12 09:56:42	ga_ls7e_ard_3-1-0_098076_2006-12-12_final
2007-09-07 09:28:18	ga_ls7e_ard_3-1-0_093083_2007-09-06_final
2008-02-25 10:45:49	ga_ls7e_ard_3-1-0_106075_2008-02-25_final
2008-05-30 11:41:53	ga_ls7e_ard_3-1-0_115077_2008-05-30_final
2008-08-21 10:30:21	ga_ls7e_ard_3-1-0_104070_2008-08-21_final
2009-07-01 09:35:00	ga_ls7e_ard_3-1-0_094083_2009-07-01_final
2009-10-19 11:26:28	ga_ls7e_ard_3-1-0_112084_2009-10-19_final
2009-11-26 09:10:14	ga_ls7e_ard_3-1-0_090082_2009-11-25_final
2010-03-16 10:58:29	ga_ls7e_ard_3-1-0_108071_2010-03-16_final
2010-09-17 09:19:33	ga_ls7e_ard_3-1-0_091086_2010-09-16_final
2010-11-13 10:48:17	ga_ls7e_ard_3-1-0_106075_2010-11-13_final
2011-03-28 09:13:40	ga_ls7e_ard_3-1-0_091068_2011-03-27_final
2011-04-02 09:38:14	ga_ls7e_ard_3-1-0_094083_2011-04-02_final
2012-09-29 11:03:32	ga_ls7e_ard_3-1-0_108075_2012-09-29_final
2013-03-06 09:40:45	ga_ls7e_ard_3-1-0_094083_2013-03-06_final
2013-03-24 11:06:48	ga_ls7e_ard_3-1-0_108082_2013-03-24_final
2013-10-18 09:29:53	ga_ls7e_ard_3-1-0_092087_2013-10-17_final
2014-03-29 10:53:20	ga_ls7e_ard_3-1-0_106077_2014-03-29_final
2014-07-16 10:22:12	ga_ls7e_ard_3-1-0_101075_2014-07-16_final
2014-12-10 10:54:46	ga_ls7e_ard_3-1-0_106077_2014-12-10_final
2015-07-25 11:29:02	ga_ls7e_ard_3-1-0_111082_2015-07-25_final
2016-02-06 09:29:07	ga_ls7e_ard_3-1-0_091086_2016-02-05_final
2016-02-07 10:08:23	ga_ls7e_ard_3-1-0_098076_2016-02-07_final
2016-02-23 10:10:00	ga_ls7e_ard_3-1-0_098080_2016-02-23_final
2016-04-10 09:29:29	ga_ls7e_ard_3-1-0_091086_2016-04-09_final
2016-05-05 09:23:04	ga_ls7e_ard_3-1-0_090085_2016-05-04_final
2016-05-10 11:18:55	ga_ls7e_ard_3-1-0_109081_2016-05-10_final
2017-05-13 09:40:55	ga_ls7e_ard_3-1-0_093083_2017-05-13_final
2018-02-23 09:50:38	ga_ls7e_ard_3-1-0_095079_2018-02-23_final
2018-05-27 09:20:44	ga_ls7e_ard_3-1-0_090085_2018-05-26_final
2018-05-29 10:41:14	ga_ls7e_ard_3-1-0_104070_2018-05-29_final
2018-06-10 09:34:51	ga_ls7e_ard_3-1-0_092090_2018-06-10_final
2018-06-16 10:29:45	ga_ls7e_ard_3-1-0_102073_2018-06-16_final
2019-01-11 09:34:57	ga_ls7e_ard_3-1-0_093087_2019-01-11_final
2019-02-17 11:30:02	ga_ls7e_ard_3-1-0_112084_2019-02-17_final
2019-02-18 10:31:59	ga_ls7e_ard_3-1-0_103078_2019-02-18_final
2019-02-19 09:38:44	ga_ls7e_ard_3-1-0_094084_2019-02-19_final
2019-02-21 09:26:42	ga_ls7e_ard_3-1-0_092085_2019-02-20_final
2019-02-24 09:52:43	ga_ls7e_ard_3-1-0_097073_2019-02-24_final
2019-03-05 09:48:15	ga_ls7e_ard_3-1-0_096078_2019-03-05_final
2019-03-11 09:12:35	ga_ls7e_ard_3-1-0_090082_2019-03-10_final
2019-03-14 09:40:59	ga_ls7e_ard_3-1-0_095076_2019-03-14_final
2019-03-14 09:44:35	ga_ls7e_ard_3-1-0_095085_2019-03-14_final
2019-03-16 11:08:14	ga_ls7e_ard_3-1-0_109078_2019-03-16_final
2019-03-19 11:39:02	ga_ls7e_ard_3-1-0_114078_2019-03-19_final
2019-08-29 10:25:40	ga_ls7e_ard_3-1-0_103080_2019-08-29_final
2019-09-08 09:22:14	ga_ls7e_ard_3-1-0_093077_2019-09-07_final
2019-09-10 09:09:47	ga_ls7e_ard_3-1-0_091077_2019-09-09_final
2019-09-22 11:08:52	ga_ls7e_ard_3-1-0_111067_2019-09-22_final
2019-09-23 10:19:11	ga_ls7e_ard_3-1-0_102082_2019-09-23_final
2019-09-24 09:20:43	ga_ls7e_ard_3-1-0_093075_2019-09-23_final
2019-10-03 09:19:46	ga_ls7e_ard_3-1-0_092089_2019-10-02_final
2019-10-03 10:52:39	ga_ls7e_ard_3-1-0_108074_2019-10-03_final
2019-10-08 11:14:35	ga_ls7e_ard_3-1-0_111083_2019-10-08_final
2019-10-10 09:20:28	ga_ls7e_ard_3-1-0_093076_2019-10-09_final
2019-10-11 10:05:17	ga_ls7e_ard_3-1-0_100080_2019-10-11_final
2019-10-28 09:08:32	ga_ls7e_ard_3-1-0_091079_2019-10-27_final
2019-11-07 11:24:50	ga_ls7e_ard_3-1-0_113081_2019-11-07_final
2019-11-08 10:28:47	ga_ls7e_ard_3-1-0_104080_2019-11-08_final
2019-11-09 11:13:35	ga_ls7e_ard_3-1-0_111084_2019-11-09_final
2019-11-20 09:14:27	ga_ls7e_ard_3-1-0_092081_2019-11-19_final
2019-11-22 09:02:48	ga_ls7e_ard_3-1-0_090083_2019-11-21_final
2019-11-27 10:54:48	ga_ls7e_ard_3-1-0_109070_2019-11-27_final
2019-11-29 10:46:44	ga_ls7e_ard_3-1-0_107081_2019-11-29_final
2019-12-14 10:03:31	ga_ls7e_ard_3-1-0_100083_2019-12-14_final
2019-12-17 10:33:04	ga_ls7e_ard_3-1-0_105080_2019-12-17_final
2019-12-29 10:57:58	ga_ls7e_ard_3-1-0_109082_2019-12-29_final
2019-12-31 09:09:25	ga_ls7e_ard_3-1-0_091089_2019-12-30_final
2020-01-03 09:36:10	ga_ls7e_ard_3-1-0_096079_2020-01-03_final
2020-01-03 09:37:46	ga_ls7e_ard_3-1-0_096083_2020-01-03_final
2020-01-11 10:22:25	ga_ls7e_ard_3-1-0_104072_2020-01-11_final
2020-01-14 10:56:45	ga_ls7e_ard_3-1-0_109081_2020-01-14_final
2020-01-28 11:08:25	ga_ls7e_ard_3-1-0_111081_2020-01-28_final
2020-02-19 08:52:08	ga_ls7e_ard_3-1-0_089083_2020-02-18_final
2020-02-27 11:18:26	ga_ls7e_ard_3-1-0_113079_2020-02-27_final
2020-03-11 09:10:21	ga_ls7e_ard_3-1-0_092085_2020-03-10_final
2020-03-13 10:33:10	ga_ls7e_ard_3-1-0_106076_2020-03-13_final
2020-03-17 10:10:37	ga_ls7e_ard_3-1-0_102082_2020-03-17_final
2020-03-18 09:12:09	ga_ls7e_ard_3-1-0_093075_2020-03-17_final
2020-03-18 09:14:09	ga_ls7e_ard_3-1-0_093080_2020-03-17_final
2020-03-20 10:39:21	ga_ls7e_ard_3-1-0_107077_2020-03-20_final
2020-04-02 10:06:32	ga_ls7e_ard_3-1-0_102074_2020-04-02_final
2020-04-10 10:58:42	ga_ls7e_ard_3-1-0_110082_2020-04-10_final
2020-04-13 09:51:21	ga_ls7e_ard_3-1-0_099084_2020-04-13_final
2020-04-19 09:11:08	ga_ls7e_ard_3-1-0_093077_2020-04-18_final
2020-04-21 10:38:20	ga_ls7e_ard_3-1-0_107079_2020-04-21_final
2020-04-26 09:18:05	ga_ls7e_ard_3-1-0_094080_2020-04-25_final
2021-02-24 10:36:27	ga_ls7e_ard_3-2-0_110079_2021-02-24_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