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
1999-10-16 10:34:12	ga_ls7e_ard_3-1-0_104070_1999-10-16_final
1999-11-05 10:13:47	ga_ls7e_ard_3-1-0_100081_1999-11-05_final
2000-11-19 10:31:33	ga_ls7e_ard_3-1-0_104070_2000-11-19_final
2001-04-04 11:26:18	ga_ls7e_ard_3-1-0_112084_2001-04-04_final
2001-07-11 11:08:28	ga_ls7e_ard_3-1-0_110072_2001-07-11_final
2001-09-19 10:29:40	ga_ls7e_ard_3-1-0_104070_2001-09-19_final
2002-02-20 11:07:55	ga_ls7e_ard_3-1-0_110072_2002-02-20_final
2002-09-29 09:00:39	ga_ls7e_ard_3-1-0_089081_2002-09-28_final
2002-12-30 11:04:52	ga_ls7e_ard_3-1-0_109081_2002-12-30_final
2003-04-21 11:05:15	ga_ls7e_ard_3-1-0_109081_2003-04-21_final
2003-12-17 11:05:18	ga_ls7e_ard_3-1-0_109081_2003-12-17_final
2003-12-21 09:01:45	ga_ls7e_ard_3-1-0_089081_2003-12-20_final
2004-04-07 11:05:45	ga_ls7e_ard_3-1-0_109081_2004-04-07_final
2004-11-28 09:08:35	ga_ls7e_ard_3-1-0_090082_2004-11-27_final
2006-01-05 09:36:35	ga_ls7e_ard_3-1-0_095073_2006-01-05_final
2006-01-11 09:02:45	ga_ls7e_ard_3-1-0_089081_2006-01-10_final
2006-08-26 11:08:45	ga_ls7e_ard_3-1-0_110072_2006-08-26_final
2006-12-14 11:26:25	ga_ls7e_ard_3-1-0_112084_2006-12-14_final
2007-01-19 09:21:41	ga_ls7e_ard_3-1-0_092081_2007-01-18_final
2007-08-27 09:48:08	ga_ls7e_ard_3-1-0_096086_2007-08-27_final
2007-08-30 10:14:37	ga_ls7e_ard_3-1-0_101075_2007-08-30_final
2009-03-02 09:36:51	ga_ls7e_ard_3-1-0_095073_2009-03-02_final
2009-03-31 10:45:51	ga_ls7e_ard_3-1-0_106075_2009-03-31_final
2010-01-02 11:07:50	ga_ls7e_ard_3-1-0_109081_2010-01-02_final
2010-10-06 11:28:32	ga_ls7e_ard_3-1-0_112084_2010-10-06_final
2012-03-23 10:49:43	ga_ls7e_ard_3-1-0_106075_2012-03-23_final
2012-09-04 11:11:52	ga_ls7e_ard_3-1-0_109081_2012-09-04_final
2012-11-23 11:12:30	ga_ls7e_ard_3-1-0_109081_2012-11-23_final
2013-01-07 10:37:23	ga_ls7e_ard_3-1-0_104070_2013-01-07_final
2013-01-26 11:12:43	ga_ls7e_ard_3-1-0_109081_2013-01-26_final
2013-12-20 10:21:01	ga_ls7e_ard_3-1-0_101075_2013-12-20_final
2014-02-19 09:54:52	ga_ls7e_ard_3-1-0_096086_2014-02-19_final
2014-03-02 11:13:16	ga_ls7e_ard_3-1-0_109081_2014-03-02_final
2014-08-14 09:55:49	ga_ls7e_ard_3-1-0_096086_2014-08-14_final
2014-08-18 09:29:54	ga_ls7e_ard_3-1-0_092083_2014-08-17_final
2014-10-09 10:39:10	ga_ls7e_ard_3-1-0_104070_2014-10-09_final
2015-07-24 10:40:59	ga_ls7e_ard_3-1-0_104070_2015-07-24_final
2015-11-05 11:36:46	ga_ls7e_ard_3-1-0_112084_2015-11-05_final
2015-12-07 11:37:17	ga_ls7e_ard_3-1-0_112084_2015-12-07_final
2016-01-08 09:59:42	ga_ls7e_ard_3-1-0_096086_2016-01-08_final
2016-01-19 11:18:12	ga_ls7e_ard_3-1-0_109081_2016-01-19_final
2017-04-02 11:21:21	ga_ls7e_ard_3-1-0_110072_2017-04-02_final
2017-09-01 10:32:41	ga_ls7e_ard_3-1-0_102073_2017-09-01_final
2017-11-28 11:21:37	ga_ls7e_ard_3-1-0_110072_2017-11-28_final
2018-05-14 09:47:02	ga_ls7e_ard_3-1-0_095073_2018-05-14_final
2018-05-14 11:29:31	ga_ls7e_ard_3-1-0_111082_2018-05-14_final
2018-12-02 10:21:58	ga_ls7e_ard_3-1-0_101078_2018-12-02_final
2019-02-19 11:12:01	ga_ls7e_ard_3-1-0_110070_2019-02-19_final
2019-02-21 09:25:54	ga_ls7e_ard_3-1-0_092083_2019-02-20_final
2019-02-26 09:40:42	ga_ls7e_ard_3-1-0_095074_2019-02-26_final
2019-02-26 11:17:11	ga_ls7e_ard_3-1-0_111068_2019-02-26_final
2019-03-07 11:15:07	ga_ls7e_ard_3-1-0_110079_2019-03-07_final
2019-03-17 10:09:48	ga_ls7e_ard_3-1-0_100071_2019-03-17_final
2019-03-17 10:12:35	ga_ls7e_ard_3-1-0_100078_2019-03-17_final
2019-08-26 09:51:18	ga_ls7e_ard_3-1-0_098071_2019-08-26_final
2019-09-06 11:09:34	ga_ls7e_ard_3-1-0_111067_2019-09-06_final
2019-09-08 09:23:02	ga_ls7e_ard_3-1-0_093079_2019-09-07_final
2019-09-29 11:21:32	ga_ls7e_ard_3-1-0_112084_2019-09-29_final
2019-10-01 11:03:30	ga_ls7e_ard_3-1-0_110070_2019-10-01_final
2019-10-02 10:12:38	ga_ls7e_ard_3-1-0_101082_2019-10-02_final
2019-10-04 11:35:53	ga_ls7e_ard_3-1-0_115074_2019-10-04_final
2019-10-06 11:23:26	ga_ls7e_ard_3-1-0_113074_2019-10-06_final
2019-10-08 11:08:12	ga_ls7e_ard_3-1-0_111067_2019-10-08_final
2019-10-20 09:54:20	ga_ls7e_ard_3-1-0_099069_2019-10-20_final
2019-10-22 09:43:29	ga_ls7e_ard_3-1-0_097073_2019-10-22_final
2019-10-24 11:09:31	ga_ls7e_ard_3-1-0_111072_2019-10-24_final
2019-10-27 10:06:11	ga_ls7e_ard_3-1-0_100084_2019-10-27_final
2019-11-06 09:06:20	ga_ls7e_ard_3-1-0_090090_2019-11-05_final
2019-11-07 09:41:34	ga_ls7e_ard_3-1-0_097070_2019-11-07_final
2019-11-10 10:17:07	ga_ls7e_ard_3-1-0_102082_2019-11-10_final
2019-11-12 10:03:04	ga_ls7e_ard_3-1-0_100078_2019-11-12_final
2019-11-14 09:52:37	ga_ls7e_ard_3-1-0_098083_2019-11-14_final
2019-11-16 11:18:39	ga_ls7e_ard_3-1-0_112082_2019-11-16_final
2019-12-07 09:55:18	ga_ls7e_ard_3-1-0_099077_2019-12-07_final
2019-12-11 09:31:58	ga_ls7e_ard_3-1-0_095081_2019-12-11_final
2019-12-11 11:12:03	ga_ls7e_ard_3-1-0_111084_2019-12-11_final
2019-12-20 11:01:25	ga_ls7e_ard_3-1-0_110074_2019-12-20_final
2019-12-30 10:03:06	ga_ls7e_ard_3-1-0_100084_2019-12-30_final
2020-01-01 09:50:38	ga_ls7e_ard_3-1-0_098084_2020-01-01_final
2020-01-02 08:54:10	ga_ls7e_ard_3-1-0_089082_2020-01-01_final
2020-01-13 10:08:21	ga_ls7e_ard_3-1-0_102068_2020-01-13_final
2020-01-28 09:31:32	ga_ls7e_ard_3-1-0_095086_2020-01-28_final
2020-01-30 09:16:41	ga_ls7e_ard_3-1-0_093080_2020-01-29_final
2020-02-04 09:31:47	ga_ls7e_ard_3-1-0_096072_2020-02-04_final
2020-02-05 10:14:35	ga_ls7e_ard_3-1-0_103071_2020-02-05_final
2020-02-21 10:13:22	ga_ls7e_ard_3-1-0_103070_2020-02-21_final
2020-02-27 09:39:33	ga_ls7e_ard_3-1-0_097079_2020-02-27_final
2020-03-02 09:13:25	ga_ls7e_ard_3-1-0_093076_2020-03-01_final
2020-03-13 08:55:05	ga_ls7e_ard_3-1-0_090078_2020-03-12_final
2020-03-15 10:22:17	ga_ls7e_ard_3-1-0_104080_2020-03-15_final
2020-03-28 09:47:29	ga_ls7e_ard_3-1-0_099072_2020-03-28_final
2020-03-29 08:56:35	ga_ls7e_ard_3-1-0_090084_2020-03-28_final
2020-03-29 08:58:35	ga_ls7e_ard_3-1-0_090089_2020-03-28_final
2020-04-03 10:52:56	ga_ls7e_ard_3-1-0_109082_2020-04-03_final
2020-04-04 09:53:39	ga_ls7e_ard_3-1-0_100073_2020-04-04_final
2020-04-08 11:11:59	ga_ls7e_ard_3-1-0_112084_2020-04-08_final
2020-04-10 09:18:38	ga_ls7e_ard_3-1-0_094079_2020-04-09_final
2020-04-16 10:15:41	ga_ls7e_ard_3-1-0_104068_2020-04-16_final
2020-04-29 11:27:17	ga_ls7e_ard_3-1-0_115079_2020-04-29_final
2022-03-17 08:09:27	ga_ls7e_ard_3-2-1_092076_2022-03-16_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