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
1999-09-15 09:39:38	ga_ls7e_ard_3-1-0_095073_1999-09-15_final
1999-11-30 11:43:59	ga_ls7e_ard_3-0-0_115075_1999-11-30_final
2000-02-02 11:45:11	ga_ls7e_ard_3-0-0_115078_2000-02-02_final
2000-10-03 09:41:37	ga_ls7e_ard_3-0-0_095084_2000-10-03_final
2000-11-20 09:36:43	ga_ls7e_ard_3-0-0_095072_2000-11-20_final
2001-07-17 08:56:28	ga_ls7e_ard_3-0-0_088082_2001-07-16_final
2002-04-12 11:40:01	ga_ls7e_ard_3-0-0_115075_2002-04-12_final
2002-05-01 08:56:22	ga_ls7e_ard_3-0-0_088083_2002-04-30_final
2002-09-07 09:39:10	ga_ls7e_ard_3-0-0_095084_2002-09-07_final
2002-10-24 08:54:56	ga_ls7e_ard_3-0-0_088082_2002-10-23_final
2003-01-13 09:35:12	ga_ls7e_ard_3-1-0_095073_2003-01-13_final
2004-06-08 09:35:29	ga_ls7e_ard_3-0-0_095072_2004-06-08_final
2004-06-08 09:35:53	ga_ls7e_ard_3-1-0_095073_2004-06-08_final
2004-06-23 08:55:45	ga_ls7e_ard_3-0-0_088081_2004-06-22_final
2008-09-03 11:41:25	ga_ls7e_ard_3-0-0_115078_2008-09-03_final
2008-10-21 11:39:35	ga_ls7e_ard_3-0-0_115074_2008-10-21_final
2009-01-12 08:56:49	ga_ls7e_ard_3-0-0_088082_2009-01-11_final
2009-04-15 11:42:21	ga_ls7e_ard_3-1-0_115077_2009-04-15_final
2009-07-20 11:41:06	ga_ls7e_ard_3-0-0_115074_2009-07-20_final
2009-12-15 09:37:23	ga_ls7e_ard_3-0-0_095072_2009-12-15_final
2010-01-12 11:42:16	ga_ls7e_ard_3-0-0_115074_2010-01-12_final
2010-04-22 09:44:12	ga_ls7e_ard_3-0-0_095086_2010-04-22_final
2010-06-21 11:44:58	ga_ls7e_ard_3-0-0_115079_2010-06-21_final
2010-09-13 09:43:53	ga_ls7e_ard_3-0-0_095085_2010-09-13_final
2010-12-23 11:39:18	ga_ls7e_ard_3-0-0_114078_2010-12-23_final
2011-08-04 11:40:52	ga_ls7e_ard_3-0-0_114081_2011-08-04_final
2011-12-26 11:40:58	ga_ls7e_ard_3-0-0_114080_2011-12-26_final
2012-08-17 09:41:33	ga_ls7e_ard_3-0-0_095072_2012-08-17_final
2012-12-03 11:48:46	ga_ls7e_ard_3-0-0_115079_2012-12-03_final
2013-06-01 09:40:09	ga_ls7e_ard_3-0-0_095067_2013-06-01_final
2013-09-26 11:41:34	ga_ls7e_ard_3-0-0_114077_2013-09-26_final
2014-01-23 11:47:56	ga_ls7e_ard_3-0-0_115075_2014-01-23_final
2014-05-24 11:43:11	ga_ls7e_ard_3-0-0_114077_2014-05-24_final
2014-06-04 09:48:11	ga_ls7e_ard_3-0-0_095083_2014-06-04_final
2014-06-20 09:49:24	ga_ls7e_ard_3-0-0_095086_2014-06-20_final
2014-09-04 11:49:15	ga_ls7e_ard_3-0-0_115076_2014-09-04_final
2014-11-07 11:50:38	ga_ls7e_ard_3-0-0_115078_2014-11-07_final
2015-03-24 11:46:04	ga_ls7e_ard_3-0-0_114080_2015-03-24_final
2016-10-15 09:49:57	ga_ls7e_ard_3-0-0_095074_2016-10-15_final
2016-10-31 09:51:28	ga_ls7e_ard_3-0-0_095078_2016-10-31_final
2017-03-24 09:54:36	ga_ls7e_ard_3-0-0_095087_2017-03-24_final
2018-03-23 11:53:30	ga_ls7e_ard_3-0-0_115078_2018-03-23_final
2018-06-11 11:52:11	ga_ls7e_ard_3-0-0_115078_2018-06-11_final
2018-09-19 09:49:49	ga_ls7e_ard_3-0-0_095086_2018-09-19_final
2019-02-10 09:44:47	ga_ls7e_ard_3-0-0_095083_2019-02-10_final
2019-03-14 09:39:23	ga_ls7e_ard_3-1-0_095072_2019-03-14_final
2019-09-18 11:37:21	ga_ls7e_ard_3-1-0_115076_2019-09-18_final
2019-11-05 11:34:30	ga_ls7e_ard_3-1-0_115074_2019-11-05_final
2019-11-25 09:29:58	ga_ls7e_ard_3-1-0_095074_2019-11-24_final
2020-04-01 09:23:44	ga_ls7e_ard_3-1-0_095075_2020-03-31_final
2020-04-06 11:22:51	ga_ls7e_ard_3-1-0_114080_2020-04-06_final
2020-11-27 09:13:27	ga_ls7e_ard_3-1-0_095087_2020-11-26_final
2021-01-30 09:05:13	ga_ls7e_ard_3-2-0_095078_2021-01-29_final
2021-01-30 10:45:18	ga_ls7e_ard_3-2-0_111081_2021-01-30_final
2021-02-19 08:41:48	ga_ls7e_ard_3-2-0_091085_2021-02-18_final
2021-02-20 09:24:59	ga_ls7e_ard_3-2-0_098085_2021-02-19_final
2021-02-28 10:07:26	ga_ls7e_ard_3-2-0_106069_2021-02-28_final
2021-03-10 10:49:43	ga_ls7e_ard_3-2-0_112084_2021-03-10_final
2021-03-27 09:46:21	ga_ls7e_ard_3-2-0_103068_2021-03-27_final
2021-03-27 09:46:45	ga_ls7e_ard_3-2-0_103069_2021-03-27_final
2021-04-14 09:37:17	ga_ls7e_ard_3-2-0_101080_2021-04-14_final
2021-04-26 08:22:31	ga_ls7e_ard_3-2-0_089081_2021-04-25_final
2021-05-03 10:02:36	ga_ls7e_ard_3-2-0_106070_2021-05-03_final
2021-05-11 10:55:22	ga_ls7e_ard_3-2-0_114080_2021-05-11_final
2021-05-21 09:49:55	ga_ls7e_ard_3-2-0_104073_2021-05-21_final
2021-05-31 10:27:20	ga_ls7e_ard_3-2-0_110076_2021-05-31_final
2021-06-04 10:03:53	ga_ls7e_ard_3-2-0_106080_2021-06-04_final
2021-07-23 10:37:51	ga_ls7e_ard_3-2-0_113067_2021-07-23_final
2021-08-08 10:36:27	ga_ls7e_ard_3-2-0_113067_2021-08-08_final
2021-08-09 09:46:44	ga_ls7e_ard_3-2-0_104082_2021-08-09_final
2021-08-15 09:05:07	ga_ls7e_ard_3-2-0_098072_2021-08-14_final
2021-08-15 10:46:00	ga_ls7e_ard_3-2-0_114077_2021-08-15_final
2021-08-24 10:35:03	ga_ls7e_ard_3-2-0_113067_2021-08-24_final
2021-09-06 08:30:32	ga_ls7e_ard_3-2-0_092083_2021-09-05_final
2021-09-11 10:26:42	ga_ls7e_ard_3-2-0_111081_2021-09-11_final
2021-10-01 08:24:07	ga_ls7e_ard_3-2-0_091088_2021-09-30_final
2021-10-03 08:07:11	ga_ls7e_ard_3-2-0_089077_2021-10-02_final
2021-11-04 09:43:34	ga_ls7e_ard_3-2-0_105078_2021-11-04_final
2021-11-07 10:11:48	ga_ls7e_ard_3-2-0_110072_2021-11-07_final
2021-11-08 09:18:52	ga_ls7e_ard_3-2-0_101079_2021-11-07_final
2021-11-17 09:13:49	ga_ls7e_ard_3-2-1_100084_2021-11-16_final
2021-12-02 10:03:37	ga_ls7e_ard_3-2-1_109073_2021-12-02_final
2021-12-06 08:01:38	ga_ls7e_ard_3-2-1_089078_2021-12-05_final
2021-12-07 10:25:40	ga_ls7e_ard_3-2-1_112083_2021-12-07_final
2021-12-07 10:26:04	ga_ls7e_ard_3-2-1_112084_2021-12-07_final
2021-12-10 09:13:49	ga_ls7e_ard_3-2-1_101074_2021-12-09_final
2021-12-12 10:42:08	ga_ls7e_ard_3-2-1_115079_2021-12-12_final
2021-12-13 09:46:49	ga_ls7e_ard_3-2-1_106080_2021-12-13_final
2022-01-01 10:12:15	ga_ls7e_ard_3-2-1_111071_2022-01-01_final
2022-01-11 09:12:17	ga_ls7e_ard_3-2-1_101078_2022-01-10_final
2022-01-12 08:18:34	ga_ls7e_ard_3-2-1_092083_2022-01-11_final
2022-01-13 08:55:21	ga_ls7e_ard_3-2-1_099067_2022-01-12_final
2022-01-14 09:42:06	ga_ls7e_ard_3-2-1_106076_2022-01-14_final
2022-01-19 10:03:22	ga_ls7e_ard_3-2-1_109084_2022-01-19_final
2022-01-24 10:21:01	ga_ls7e_ard_3-2-1_112083_2022-01-24_final
2022-01-28 09:53:31	ga_ls7e_ard_3-2-1_108077_2022-01-28_final
2022-02-11 08:27:10	ga_ls7e_ard_3-2-1_094081_2022-02-10_final
2022-02-22 09:46:49	ga_ls7e_ard_3-2-1_107082_2022-02-22_final
2022-03-03 08:00:06	ga_ls7e_ard_3-2-1_090080_2022-03-02_final
2022-03-03 09:34:59	ga_ls7e_ard_3-2-1_106070_2022-03-03_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