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
1999-07-31 09:32:55	ga_ls7e_ard_3-1-0_093087_1999-07-31_final
2001-03-05 11:09:27	ga_ls7e_ard_3-1-0_110072_2001-03-05_final
2001-05-04 09:58:12	ga_ls7e_ard_3-1-0_098080_2001-05-04_final
2002-09-28 09:55:53	ga_ls7e_ard_3-1-0_098080_2002-09-28_final
2003-11-02 09:56:33	ga_ls7e_ard_3-1-0_098080_2003-11-02_final
2004-09-05 11:07:49	ga_ls7e_ard_3-1-0_110072_2004-09-05_final
2005-02-10 11:23:01	ga_ls7e_ard_3-1-0_112077_2005-02-10_final
2005-07-10 09:10:07	ga_ls7e_ard_3-1-0_090085_2005-07-09_final
2005-09-12 10:44:40	ga_ls7e_ard_3-1-0_106075_2005-09-12_final
2006-06-28 11:30:46	ga_ls7e_ard_3-1-0_113080_2006-06-28_final
2007-04-27 10:46:03	ga_ls7e_ard_3-1-0_106075_2007-04-27_final
2007-06-19 11:06:47	ga_ls7e_ard_3-1-0_109081_2007-06-19_final
2007-10-12 09:57:53	ga_ls7e_ard_3-1-0_098080_2007-10-12_final
2007-12-31 09:58:29	ga_ls7e_ard_3-1-0_098080_2007-12-31_final
2008-01-24 09:11:02	ga_ls7e_ard_3-1-0_090085_2008-01-23_final
2008-02-09 10:45:53	ga_ls7e_ard_3-1-0_106075_2008-02-09_final
2008-05-07 09:58:11	ga_ls7e_ard_3-1-0_098080_2008-05-07_final
2008-05-09 11:26:17	ga_ls7e_ard_3-1-0_112084_2008-05-09_final
2008-12-12 11:18:44	ga_ls7e_ard_3-1-0_111082_2008-12-12_final
2009-08-14 09:58:18	ga_ls7e_ard_3-1-0_098080_2009-08-14_final
2010-06-27 09:30:13	ga_ls7e_ard_3-1-0_093082_2010-06-27_final
2010-12-31 10:48:45	ga_ls7e_ard_3-1-0_106075_2010-12-31_final
2011-10-20 09:33:21	ga_ls7e_ard_3-1-0_093087_2011-10-20_final
2011-12-07 09:33:48	ga_ls7e_ard_3-1-0_093087_2011-12-07_final
2012-08-01 11:24:13	ga_ls7e_ard_3-1-0_111082_2012-08-01_final
2014-06-25 10:05:36	ga_ls7e_ard_3-1-0_098080_2014-06-25_final
2014-07-15 11:16:37	ga_ls7e_ard_3-1-0_110072_2014-07-15_final
2014-09-05 10:53:14	ga_ls7e_ard_3-1-0_106075_2014-09-05_final
2014-12-31 09:38:31	ga_ls7e_ard_3-1-0_093087_2014-12-31_final
2015-03-05 09:38:55	ga_ls7e_ard_3-1-0_093087_2015-03-05_final
2015-06-20 10:55:12	ga_ls7e_ard_3-1-0_106075_2015-06-20_final
2015-06-25 09:39:38	ga_ls7e_ard_3-1-0_093087_2015-06-25_final
2016-03-02 10:57:33	ga_ls7e_ard_3-1-0_106075_2016-03-02_final
2016-08-27 10:43:54	ga_ls7e_ard_3-1-0_104070_2016-08-27_final
2016-09-26 10:58:20	ga_ls7e_ard_3-1-0_106075_2016-09-26_final
2016-10-29 10:03:03	ga_ls7e_ard_3-1-0_097076_2016-10-29_final
2018-01-03 10:58:31	ga_ls7e_ard_3-1-0_106077_2018-01-03_final
2018-04-05 11:20:01	ga_ls7e_ard_3-1-0_110072_2018-04-05_final
2018-04-26 11:41:24	ga_ls7e_ard_3-1-0_113080_2018-04-26_final
2018-05-23 11:19:12	ga_ls7e_ard_3-1-0_110072_2018-05-23_final
2018-10-26 10:05:06	ga_ls7e_ard_3-1-0_098080_2018-10-26_final
2019-01-06 10:50:39	ga_ls7e_ard_3-1-0_106075_2019-01-06_final
2019-02-19 09:39:07	ga_ls7e_ard_3-1-0_094085_2019-02-19_final
2019-02-19 11:15:13	ga_ls7e_ard_3-1-0_110078_2019-02-19_final
2019-03-11 09:15:46	ga_ls7e_ard_3-1-0_090090_2019-03-10_final
2019-03-11 10:45:52	ga_ls7e_ard_3-1-0_106068_2019-03-11_final
2019-03-19 10:00:10	ga_ls7e_ard_3-1-0_098078_2019-03-19_final
2019-03-24 10:17:44	ga_ls7e_ard_3-1-0_101076_2019-03-24_final
2019-03-27 10:48:08	ga_ls7e_ard_3-1-0_106075_2019-03-27_final
2019-07-22 09:28:14	ga_ls7e_ard_3-1-0_093087_2019-07-21_final
2019-08-10 09:55:34	ga_ls7e_ard_3-1-0_098080_2019-08-10_final
2019-08-23 10:59:01	ga_ls7e_ard_3-1-0_109070_2019-08-23_final
2019-08-23 11:00:36	ga_ls7e_ard_3-1-0_109074_2019-08-23_final
2019-08-23 11:01:00	ga_ls7e_ard_3-1-0_109075_2019-08-23_final
2019-08-30 11:08:05	ga_ls7e_ard_3-1-0_110078_2019-08-30_final
2019-09-08 10:58:19	ga_ls7e_ard_3-1-0_109070_2019-09-08_final
2019-09-13 11:21:02	ga_ls7e_ard_3-1-0_112081_2019-09-13_final
2019-09-20 09:47:37	ga_ls7e_ard_3-1-0_097080_2019-09-20_final
2019-09-20 11:26:54	ga_ls7e_ard_3-1-0_113081_2019-09-20_final
2019-09-24 10:58:48	ga_ls7e_ard_3-1-0_109073_2019-09-24_final
2019-09-27 09:48:42	ga_ls7e_ard_3-1-0_098068_2019-09-27_final
2019-09-27 11:31:11	ga_ls7e_ard_3-1-0_114077_2019-09-27_final
2019-10-13 09:47:39	ga_ls7e_ard_3-1-0_098067_2019-10-13_final
2019-10-16 10:22:25	ga_ls7e_ard_3-1-0_103077_2019-10-16_final
2019-10-22 11:26:21	ga_ls7e_ard_3-1-0_113083_2019-10-22_final
2019-11-06 10:42:01	ga_ls7e_ard_3-1-0_106082_2019-11-06_final
2019-11-22 10:38:05	ga_ls7e_ard_3-1-0_106074_2019-11-22_final
2019-11-22 10:39:17	ga_ls7e_ard_3-1-0_106077_2019-11-22_final
2019-11-23 09:44:49	ga_ls7e_ard_3-1-0_097080_2019-11-23_final
2019-11-29 10:47:08	ga_ls7e_ard_3-1-0_107082_2019-11-29_final
2019-11-30 11:29:08	ga_ls7e_ard_3-1-0_114079_2019-11-30_final
2019-12-08 09:04:49	ga_ls7e_ard_3-1-0_090090_2019-12-07_final
2019-12-10 10:26:51	ga_ls7e_ard_3-1-0_104079_2019-12-10_final
2019-12-15 10:44:20	ga_ls7e_ard_3-1-0_107077_2019-12-15_final
2019-12-26 10:23:38	ga_ls7e_ard_3-1-0_104073_2019-12-26_final
2019-12-29 09:21:29	ga_ls7e_ard_3-1-0_093088_2019-12-28_final
2020-01-02 08:52:58	ga_ls7e_ard_3-1-0_089079_2020-01-01_final
2020-01-04 10:16:59	ga_ls7e_ard_3-1-0_103073_2020-01-04_final
2020-01-14 10:56:21	ga_ls7e_ard_3-1-0_109080_2020-01-14_final
2020-01-15 10:02:17	ga_ls7e_ard_3-1-0_100084_2020-01-15_final
2020-01-24 09:53:16	ga_ls7e_ard_3-1-0_099078_2020-01-24_final
2020-01-24 09:54:04	ga_ls7e_ard_3-1-0_099080_2020-01-24_final
2020-02-13 11:05:13	ga_ls7e_ard_3-1-0_111075_2020-02-13_final
2020-02-21 10:14:33	ga_ls7e_ard_3-1-0_103073_2020-02-21_final
2020-02-23 10:06:05	ga_ls7e_ard_3-1-0_101083_2020-02-23_final
2020-02-28 10:23:33	ga_ls7e_ard_3-1-0_104081_2020-02-28_final
2020-03-02 10:50:18	ga_ls7e_ard_3-1-0_109071_2020-03-02_final
2020-03-18 10:50:14	ga_ls7e_ard_3-1-0_109073_2020-03-18_final
2020-03-21 09:46:29	ga_ls7e_ard_3-1-0_098084_2020-03-21_final
2020-03-25 10:56:25	ga_ls7e_ard_3-1-0_110074_2020-03-25_final
2020-03-25 10:56:49	ga_ls7e_ard_3-1-0_110075_2020-03-25_final
2020-03-26 10:04:20	ga_ls7e_ard_3-1-0_101083_2020-03-26_final
2020-03-28 09:49:28	ga_ls7e_ard_3-1-0_099077_2020-03-28_final
2020-04-09 10:15:30	ga_ls7e_ard_3-1-0_103082_2020-04-09_final
2020-04-16 10:17:41	ga_ls7e_ard_3-1-0_104073_2020-04-16_final
2020-04-22 11:19:56	ga_ls7e_ard_3-1-0_114075_2020-04-22_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_final
2022-03-27 10:24:52	ga_ls7e_ard_3-2-1_114077_2022-03-27_final
2022-03-29 08:31:51	ga_ls7e_ard_3-2-1_096073_2022-03-28_final
2022-03-29 10:13:31	ga_ls7e_ard_3-2-1_112080_2022-03-29_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