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 09:13:01	ga_ls7e_ard_3-1-0_090090_2001-03-08_final
2002-06-22 10:10:34	ga_ls7e_ard_3-1-0_100084_2002-06-22_final
2003-01-03 09:01:15	ga_ls7e_ard_3-1-0_089081_2003-01-02_final
2004-04-30 09:29:47	ga_ls7e_ard_3-1-0_094073_2004-04-29_final
2004-05-15 10:26:38	ga_ls7e_ard_3-1-0_103076_2004-05-15_final
2005-05-28 09:28:00	ga_ls7e_ard_3-1-0_093083_2005-05-27_final
2005-06-17 09:02:21	ga_ls7e_ard_3-1-0_089081_2005-06-16_final
2006-02-25 10:10:59	ga_ls7e_ard_3-1-0_100081_2006-02-25_final
2006-09-01 10:30:51	ga_ls7e_ard_3-1-0_104070_2006-09-01_final
2006-11-11 09:02:48	ga_ls7e_ard_3-1-0_089081_2006-11-10_final
2007-09-20 10:31:01	ga_ls7e_ard_3-1-0_104070_2007-09-20_final
2007-12-09 10:31:30	ga_ls7e_ard_3-1-0_104070_2007-12-09_final
2008-04-13 09:10:49	ga_ls7e_ard_3-1-0_090085_2008-04-12_final
2008-07-04 10:30:46	ga_ls7e_ard_3-1-0_104070_2008-07-04_final
2008-10-31 09:01:51	ga_ls7e_ard_3-1-0_089081_2008-10-30_final
2009-04-21 09:28:48	ga_ls7e_ard_3-1-0_093083_2009-04-20_final
2009-04-21 09:30:00	ga_ls7e_ard_3-1-0_093086_2009-04-21_final
2010-03-02 09:12:44	ga_ls7e_ard_3-1-0_090085_2010-03-01_final
2010-06-16 11:28:24	ga_ls7e_ard_3-1-0_112084_2010-06-16_final
2011-04-27 09:33:38	ga_ls7e_ard_3-1-0_093087_2011-04-27_final
2012-01-03 09:14:42	ga_ls7e_ard_3-1-0_090085_2012-01-02_final
2012-01-12 09:06:57	ga_ls7e_ard_3-1-0_089081_2012-01-11_final
2012-09-01 10:36:32	ga_ls7e_ard_3-1-0_104070_2012-09-01_final
2013-07-09 09:08:20	ga_ls7e_ard_3-1-0_089081_2013-07-08_final
2014-01-29 09:36:52	ga_ls7e_ard_3-1-0_093087_2014-01-29_final
2014-02-09 09:17:33	ga_ls7e_ard_3-1-0_090085_2014-02-08_final
2014-10-16 09:10:54	ga_ls7e_ard_3-1-0_089081_2014-10-15_final
2016-08-11 10:43:51	ga_ls7e_ard_3-1-0_104070_2016-08-11_final
2017-10-15 09:22:07	ga_ls7e_ard_3-1-0_090082_2017-10-14_final
2018-04-02 09:13:52	ga_ls7e_ard_3-1-0_089081_2018-04-01_final
2018-08-24 09:11:18	ga_ls7e_ard_3-1-0_089081_2018-08-23_final
2018-10-18 09:17:49	ga_ls7e_ard_3-1-0_090085_2018-10-17_final
2019-02-16 09:07:55	ga_ls7e_ard_3-1-0_089084_2019-02-15_final
2019-02-17 11:29:38	ga_ls7e_ard_3-1-0_112083_2019-02-17_final
2019-03-02 10:53:08	ga_ls7e_ard_3-1-0_107070_2019-03-02_final
2019-03-11 09:14:58	ga_ls7e_ard_3-1-0_090088_2019-03-10_final
2019-03-17 10:14:35	ga_ls7e_ard_3-1-0_100083_2019-03-17_final
2019-03-22 10:27:22	ga_ls7e_ard_3-1-0_103069_2019-03-22_final
2019-08-23 11:00:12	ga_ls7e_ard_3-1-0_109073_2019-08-23_final
2019-09-10 10:47:52	ga_ls7e_ard_3-1-0_107075_2019-09-10_final
2019-09-19 09:06:48	ga_ls7e_ard_3-1-0_090086_2019-09-18_final
2019-09-26 10:45:34	ga_ls7e_ard_3-1-0_107071_2019-09-26_final
2019-09-26 10:50:45	ga_ls7e_ard_3-1-0_107084_2019-09-26_final
2019-09-30 10:23:04	ga_ls7e_ard_3-1-0_103077_2019-09-30_final
2019-10-10 11:02:32	ga_ls7e_ard_3-1-0_109084_2019-10-10_final
2019-10-21 09:05:27	ga_ls7e_ard_3-1-0_090086_2019-10-20_final
2019-10-27 10:05:23	ga_ls7e_ard_3-1-0_100082_2019-10-27_final
2019-11-02 09:28:27	ga_ls7e_ard_3-1-0_094083_2019-11-01_final
2019-11-05 09:58:25	ga_ls7e_ard_3-1-0_099081_2019-11-05_final
2019-11-21 09:58:04	ga_ls7e_ard_3-1-0_099082_2019-11-21_final
2019-12-04 09:27:44	ga_ls7e_ard_3-1-0_094085_2019-12-03_final
2019-12-29 10:58:46	ga_ls7e_ard_3-1-0_109084_2019-12-29_final
2019-12-30 10:02:18	ga_ls7e_ard_3-1-0_100082_2019-12-30_final
2020-01-08 09:56:26	ga_ls7e_ard_3-1-0_099084_2020-01-08_final
2020-01-19 11:15:27	ga_ls7e_ard_3-1-0_112082_2020-01-19_final
2020-01-31 09:59:30	ga_ls7e_ard_3-1-0_100079_2020-01-31_final
2020-02-05 10:14:11	ga_ls7e_ard_3-1-0_103070_2020-02-05_final
2020-02-15 09:17:28	ga_ls7e_ard_3-1-0_093084_2020-02-14_final
2020-03-02 09:12:37	ga_ls7e_ard_3-1-0_093074_2020-03-01_final
2020-03-31 10:19:48	ga_ls7e_ard_3-1-0_104076_2020-03-31_final
2020-04-19 10:51:12	ga_ls7e_ard_3-1-0_109080_2020-04-19_final
2020-08-09 10:41:15	ga_ls7e_ard_3-1-0_109072_2020-08-09_final
2020-08-10 09:48:45	ga_ls7e_ard_3-1-0_100080_2020-08-10_final
2020-08-21 09:28:43	ga_ls7e_ard_3-1-0_097078_2020-08-20_final
2020-08-29 10:14:03	ga_ls7e_ard_3-1-0_105069_2020-08-29_final
2020-09-10 09:03:53	ga_ls7e_ard_3-1-0_093081_2020-09-09_final
2020-09-10 09:06:17	ga_ls7e_ard_3-1-0_093087_2020-09-09_final
2020-09-13 09:30:36	ga_ls7e_ard_3-1-0_098071_2020-09-13_final
2020-09-19 10:32:48	ga_ls7e_ard_3-1-0_108073_2020-09-19_final
2020-09-23 10:08:12	ga_ls7e_ard_3-1-0_104074_2020-09-23_final
2020-10-07 10:20:53	ga_ls7e_ard_3-1-0_106077_2020-10-07_final
2020-10-08 09:22:00	ga_ls7e_ard_3-1-0_097069_2020-10-07_final
2020-10-11 09:52:19	ga_ls7e_ard_3-1-0_102068_2020-10-11_final
2020-10-12 10:36:42	ga_ls7e_ard_3-1-0_109071_2020-10-12_final
2020-10-13 09:44:37	ga_ls7e_ard_3-1-0_100080_2020-10-13_final
2020-10-15 09:28:08	ga_ls7e_ard_3-1-0_098070_2020-10-14_final
2020-10-26 10:52:08	ga_ls7e_ard_3-1-0_111081_2020-10-26_final
2020-10-27 09:56:51	ga_ls7e_ard_3-1-0_102082_2020-10-27_final
2020-10-31 09:30:40	ga_ls7e_ard_3-1-0_098079_2020-10-31_final
2020-11-15 10:22:52	ga_ls7e_ard_3-1-0_107073_2020-11-15_final
2020-11-17 08:35:05	ga_ls7e_ard_3-1-0_089082_2020-11-16_final
2020-11-20 10:45:03	ga_ls7e_ard_3-1-0_110083_2020-11-20_final
2020-12-01 08:46:50	ga_ls7e_ard_3-1-0_091083_2020-11-30_final
2020-12-01 08:47:14	ga_ls7e_ard_3-1-0_091084_2020-11-30_final
2020-12-01 08:47:38	ga_ls7e_ard_3-1-0_091085_2020-11-30_final
2020-12-04 09:13:55	ga_ls7e_ard_3-1-0_096074_2020-12-03_final
2020-12-13 10:48:44	ga_ls7e_ard_3-1-0_111081_2020-12-13_final
2020-12-14 09:53:27	ga_ls7e_ard_3-1-0_102082_2020-12-14_final
2020-12-15 08:57:21	ga_ls7e_ard_3-1-0_093081_2020-12-14_final
2020-12-18 11:06:30	ga_ls7e_ard_3-1-0_114080_2020-12-18_final
2020-12-20 10:52:23	ga_ls7e_ard_3-1-0_112076_2020-12-20_final
2020-12-26 08:38:24	ga_ls7e_ard_3-1-0_090082_2020-12-25_final
2020-12-27 09:19:59	ga_ls7e_ard_3-1-0_097078_2020-12-26_final
2020-12-27 10:54:29	ga_ls7e_ard_3-1-0_113067_2020-12-27_final
2020-12-31 10:35:28	ga_ls7e_ard_3-1-0_109082_2020-12-31_final
2021-02-27 11:05:55	ga_ls7e_ard_3-2-0_115076_2021-02-27_final
2021-03-04 09:44:00	ga_ls7e_ard_3-2-0_102073_2021-03-04_final
2021-03-04 09:45:36	ga_ls7e_ard_3-2-0_102077_2021-03-04_final
2021-03-05 08:49:06	ga_ls7e_ard_3-2-0_093075_2021-03-04_final
2021-03-06 09:32:41	ga_ls7e_ard_3-2-0_100076_2021-03-06_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