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
1999-07-06 11:11:52	ga_ls7e_ard_3-1-0_110072_1999-07-06_final
1999-12-24 09:20:08	ga_ls7e_ard_3-1-0_091086_1999-12-23_final
2001-01-09 11:06:58	ga_ls7e_ard_3-1-0_109081_2001-01-09_final
2001-04-15 09:22:10	ga_ls7e_ard_3-1-0_093067_2001-04-14_final
2002-07-10 09:56:32	ga_ls7e_ard_3-1-0_098080_2002-07-10_final
2003-03-14 11:40:44	ga_ls7e_ard_3-1-0_115077_2003-03-14_final
2003-03-25 09:46:48	ga_ls7e_ard_3-1-0_096086_2003-03-25_final
2003-07-28 09:15:45	ga_ls7e_ard_3-1-0_091086_2003-07-27_final
2003-10-12 11:17:22	ga_ls7e_ard_3-1-0_111082_2003-10-12_final
2003-11-02 09:56:33	ga_ls7e_ard_3-1-0_098080_2003-11-02_final
2003-12-21 10:40:14	ga_ls7e_ard_3-1-0_105080_2003-12-21_final
2004-01-16 11:18:13	ga_ls7e_ard_3-1-0_111082_2004-01-16_final
2004-01-25 09:27:16	ga_ls7e_ard_3-1-0_094067_2004-01-24_final
2004-03-20 11:18:33	ga_ls7e_ard_3-1-0_111082_2004-03-20_final
2004-05-15 10:25:26	ga_ls7e_ard_3-1-0_103073_2004-05-15_final
2004-06-05 09:09:48	ga_ls7e_ard_3-1-0_090085_2004-06-04_final
2004-09-12 11:17:56	ga_ls7e_ard_3-1-0_111082_2004-09-12_final
2004-11-03 09:16:09	ga_ls7e_ard_3-1-0_091086_2004-11-02_final
2004-12-05 09:16:25	ga_ls7e_ard_3-1-0_091086_2004-12-04_final
2005-01-02 11:18:38	ga_ls7e_ard_3-1-0_111082_2005-01-02_final
2005-01-08 10:40:47	ga_ls7e_ard_3-1-0_105080_2005-01-08_final
2005-08-08 10:14:03	ga_ls7e_ard_3-1-0_101075_2005-08-08_final
2006-06-16 09:28:26	ga_ls7e_ard_3-1-0_093083_2006-06-15_final
2006-07-09 09:34:27	ga_ls7e_ard_3-1-0_094083_2006-07-09_final
2006-08-01 11:18:58	ga_ls7e_ard_3-1-0_111082_2006-08-01_final
2006-12-03 10:04:49	ga_ls7e_ard_3-1-0_099081_2006-12-03_final
2007-01-14 10:41:37	ga_ls7e_ard_3-1-0_105080_2007-01-14_final
2007-03-31 11:07:03	ga_ls7e_ard_3-1-0_109081_2007-03-31_final
2007-04-11 10:46:06	ga_ls7e_ard_3-1-0_106075_2007-04-11_final
2007-04-16 11:07:02	ga_ls7e_ard_3-1-0_109081_2007-04-16_final
2007-06-17 11:19:32	ga_ls7e_ard_3-1-0_111082_2007-06-17_final
2007-08-20 11:19:17	ga_ls7e_ard_3-1-0_111082_2007-08-20_final
2008-08-19 09:09:49	ga_ls7e_ard_3-1-0_090085_2008-08-18_final
2009-01-26 10:45:20	ga_ls7e_ard_3-1-0_106075_2009-01-26_final
2009-05-19 09:50:48	ga_ls7e_ard_3-1-0_097076_2009-05-19_final
2009-09-28 11:06:39	ga_ls7e_ard_3-1-0_109081_2009-09-28_final
2009-12-01 11:07:19	ga_ls7e_ard_3-1-0_109081_2009-12-01_final
2010-03-14 09:36:44	ga_ls7e_ard_3-1-0_094083_2010-03-14_final
2010-06-06 10:47:43	ga_ls7e_ard_3-1-0_106075_2010-06-06_final
2010-06-19 10:16:50	ga_ls7e_ard_3-1-0_101075_2010-06-19_final
2010-06-25 11:21:27	ga_ls7e_ard_3-1-0_111082_2010-06-25_final
2011-12-21 11:23:10	ga_ls7e_ard_3-1-0_111082_2011-12-21_final
2013-10-14 11:32:15	ga_ls7e_ard_3-1-0_112084_2013-10-14_final
2013-11-07 10:37:22	ga_ls7e_ard_3-1-0_104070_2013-11-07_final
2014-03-18 09:36:55	ga_ls7e_ard_3-1-0_093087_2014-03-18_final
2014-06-18 09:57:45	ga_ls7e_ard_3-1-0_097076_2014-06-18_final
2014-09-15 09:55:50	ga_ls7e_ard_3-1-0_096086_2014-09-15_final
2015-05-09 10:20:16	ga_ls7e_ard_3-1-0_100081_2015-05-09_final
2016-01-14 09:21:06	ga_ls7e_ard_3-1-0_090082_2016-01-13_final
2016-11-16 11:31:49	ga_ls7e_ard_3-1-0_111082_2016-11-16_final
2017-06-28 09:51:51	ga_ls7e_ard_3-1-0_095079_2017-06-28_final
2018-01-28 10:53:09	ga_ls7e_ard_3-1-0_105080_2018-01-28_final
2018-03-23 11:53:06	ga_ls7e_ard_3-1-0_115077_2018-03-23_final
2018-09-19 11:27:07	ga_ls7e_ard_3-1-0_111082_2018-09-19_final
2019-02-20 10:17:34	ga_ls7e_ard_3-1-0_101073_2019-02-20_final
2019-02-24 09:55:31	ga_ls7e_ard_3-1-0_097080_2019-02-24_final
2019-03-19 10:01:21	ga_ls7e_ard_3-1-0_098081_2019-03-19_final
2019-04-28 09:12:06	ga_ls7e_ard_3-1-0_090085_2019-04-27_final
2019-08-26 11:33:46	ga_ls7e_ard_3-1-0_114080_2019-08-26_final
2019-08-28 09:39:15	ga_ls7e_ard_3-1-0_096072_2019-08-28_final
2019-08-30 09:28:00	ga_ls7e_ard_3-1-0_094075_2019-08-29_final
2019-09-10 10:47:52	ga_ls7e_ard_3-1-0_107075_2019-09-10_final
2019-09-11 11:32:17	ga_ls7e_ard_3-1-0_114078_2019-09-11_final
2019-09-20 09:43:38	ga_ls7e_ard_3-1-0_097070_2019-09-20_final
2019-09-26 09:13:52	ga_ls7e_ard_3-1-0_091089_2019-09-25_final
2019-09-29 09:35:52	ga_ls7e_ard_3-1-0_096067_2019-09-29_final
2019-09-29 09:37:52	ga_ls7e_ard_3-1-0_096072_2019-09-29_final
2019-09-29 11:17:56	ga_ls7e_ard_3-1-0_112075_2019-09-29_final
2019-10-05 09:03:44	ga_ls7e_ard_3-1-0_090080_2019-10-04_final
2019-10-06 11:26:14	ga_ls7e_ard_3-1-0_113081_2019-10-06_final
2019-10-07 10:26:34	ga_ls7e_ard_3-1-0_104071_2019-10-07_final
2019-10-08 11:13:47	ga_ls7e_ard_3-1-0_111081_2019-10-08_final
2019-10-14 10:32:04	ga_ls7e_ard_3-1-0_105070_2019-10-14_final
2019-10-19 10:53:59	ga_ls7e_ard_3-1-0_108079_2019-10-19_final
2019-10-22 09:47:04	ga_ls7e_ard_3-1-0_097082_2019-10-22_final
2019-11-05 11:35:42	ga_ls7e_ard_3-1-0_115077_2019-11-05_final
2019-11-07 09:41:34	ga_ls7e_ard_3-1-0_097070_2019-11-07_final
2019-11-13 10:43:06	ga_ls7e_ard_3-1-0_107070_2019-11-13_final
2019-11-14 11:27:54	ga_ls7e_ard_3-1-0_114074_2019-11-14_final
2019-11-16 11:19:03	ga_ls7e_ard_3-1-0_112083_2019-11-16_final
2019-11-20 09:16:03	ga_ls7e_ard_3-1-0_092085_2019-11-19_final
2019-12-06 10:53:22	ga_ls7e_ard_3-1-0_108083_2019-12-06_final
2019-12-18 11:16:41	ga_ls7e_ard_3-1-0_112081_2019-12-18_final
2019-12-30 10:02:18	ga_ls7e_ard_3-1-0_100082_2019-12-30_final
2020-02-13 09:29:32	ga_ls7e_ard_3-1-0_095083_2020-02-12_final
2020-02-17 09:03:00	ga_ls7e_ard_3-1-0_091079_2020-02-16_final
2020-02-22 10:56:58	ga_ls7e_ard_3-1-0_110071_2020-02-22_final
2020-03-18 10:53:49	ga_ls7e_ard_3-1-0_109082_2020-03-18_final
2020-04-12 10:47:02	ga_ls7e_ard_3-1-0_108084_2020-04-12_final
2020-04-14 10:29:46	ga_ls7e_ard_3-1-0_106072_2020-04-14_final
2020-04-21 10:37:08	ga_ls7e_ard_3-1-0_107076_2020-04-21_final
2020-04-24 11:09:51	ga_ls7e_ard_3-1-0_112081_2020-04-24_final
2021-03-24 10:57:22	ga_ls7e_ard_3-2-0_114075_2021-03-24_final
2021-04-02 09:09:59	ga_ls7e_ard_3-2-0_097071_2021-04-01_final
2021-04-02 10:52:27	ga_ls7e_ard_3-2-0_113080_2021-04-02_final
2021-04-06 08:50:55	ga_ls7e_ard_3-2-0_093086_2021-04-05_final
2021-04-08 08:38:23	ga_ls7e_ard_3-2-0_091086_2021-04-07_final
2021-04-25 09:17:25	ga_ls7e_ard_3-2-0_098079_2021-04-24_final
2021-05-01 08:38:14	ga_ls7e_ard_3-2-0_092075_2021-04-30_final
2022-03-18 08:55:24	ga_ls7e_ard_3-2-1_099083_2022-03-17_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