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
2000-01-01 11:45:12	ga_ls7e_ard_3-0-0_115078_2000-01-01_final
2002-02-23 11:41:18	ga_ls7e_ard_3-0-0_115078_2002-02-23_final
2002-05-30 11:40:37	ga_ls7e_ard_3-0-0_115077_2002-05-30_final
2003-07-20 11:40:33	ga_ls7e_ard_3-1-0_115077_2003-07-20_final
2004-02-17 09:35:31	ga_ls7e_ard_3-0-0_095072_2004-02-17_final
2004-03-16 11:42:04	ga_ls7e_ard_3-0-0_115079_2004-03-16_final
2004-07-10 09:40:59	ga_ls7e_ard_3-0-0_095086_2004-07-10_final
2004-08-07 11:41:12	ga_ls7e_ard_3-0-0_115078_2004-08-07_final
2004-08-10 08:55:56	ga_ls7e_ard_3-0-0_088082_2004-08-09_final
2005-01-02 09:41:21	ga_ls7e_ard_3-0-0_095086_2005-01-02_final
2005-07-25 11:41:25	ga_ls7e_ard_3-0-0_115077_2005-07-25_final
2005-09-15 09:35:28	ga_ls7e_ard_3-0-0_095072_2005-09-15_final
2005-10-29 11:40:31	ga_ls7e_ard_3-0-0_115075_2005-10-29_final
2006-01-21 09:36:44	ga_ls7e_ard_3-1-0_095073_2006-01-21_final
2006-08-13 11:42:29	ga_ls7e_ard_3-0-0_115079_2006-08-13_final
2006-08-16 08:56:48	ga_ls7e_ard_3-0-0_088082_2006-08-15_final
2006-12-07 09:36:56	ga_ls7e_ard_3-1-0_095073_2006-12-07_final
2007-03-13 09:34:56	ga_ls7e_ard_3-0-0_095067_2007-03-13_final
2007-03-25 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-03-25_final
2007-04-30 09:42:51	ga_ls7e_ard_3-0-0_095087_2007-04-30_final
2007-06-13 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-06-13_final
2007-12-22 11:42:44	ga_ls7e_ard_3-0-0_115078_2007-12-22_final
2008-08-22 09:41:30	ga_ls7e_ard_3-0-0_095087_2008-08-22_final
2008-09-06 08:55:43	ga_ls7e_ard_3-0-0_088081_2008-09-05_final
2009-02-14 09:42:17	ga_ls7e_ard_3-0-0_095087_2009-02-14_final
2010-07-11 09:38:37	ga_ls7e_ard_3-0-0_095072_2010-07-11_final
2010-10-15 09:38:47	ga_ls7e_ard_3-0-0_095072_2010-10-15_final
2011-01-19 09:40:31	ga_ls7e_ard_3-0-0_095074_2011-01-19_final
2011-10-17 09:00:25	ga_ls7e_ard_3-0-0_088082_2011-10-16_final
2011-12-05 09:38:10	ga_ls7e_ard_3-0-0_095067_2011-12-05_final
2012-07-12 11:46:45	ga_ls7e_ard_3-1-0_115077_2012-07-12_final
2012-07-16 09:47:11	ga_ls7e_ard_3-0-0_095087_2012-07-16_final
2012-12-07 09:40:24	ga_ls7e_ard_3-0-0_095067_2012-12-07_final
2013-09-20 09:02:25	ga_ls7e_ard_3-0-0_088081_2013-09-19_final
2014-04-17 09:41:30	ga_ls7e_ard_3-0-0_095067_2014-04-17_final
2014-12-13 09:42:51	ga_ls7e_ard_3-0-0_095067_2014-12-13_final
2016-01-17 09:46:04	ga_ls7e_ard_3-0-0_095067_2016-01-17_final
2016-01-17 09:48:03	ga_ls7e_ard_3-0-0_095072_2016-01-17_final
2016-02-14 11:54:40	ga_ls7e_ard_3-0-0_115079_2016-02-14_final
2016-08-12 09:47:02	ga_ls7e_ard_3-0-0_095067_2016-08-12_final
2017-01-19 09:48:30	ga_ls7e_ard_3-0-0_095072_2017-01-19_final
2018-01-06 09:54:29	ga_ls7e_ard_3-0-0_095087_2018-01-06_final
2018-02-03 11:54:28	ga_ls7e_ard_3-0-0_115079_2018-02-03_final
2018-06-11 11:52:11	ga_ls7e_ard_3-0-0_115078_2018-06-11_final
2020-05-19 09:17:41	ga_ls7e_ard_3-1-0_095067_2020-05-18_final
2021-02-08 08:56:23	ga_ls7e_ard_3-2-0_094073_2021-02-07_final
2021-02-18 09:37:06	ga_ls7e_ard_3-2-0_100084_2021-02-18_final
2021-02-20 09:24:11	ga_ls7e_ard_3-2-0_098083_2021-02-19_final
2021-02-21 08:26:30	ga_ls7e_ard_3-2-0_089078_2021-02-20_final
2021-02-25 09:42:21	ga_ls7e_ard_3-2-0_101083_2021-02-25_final
2021-03-13 09:36:19	ga_ls7e_ard_3-2-0_101071_2021-03-13_final
2021-03-21 10:30:18	ga_ls7e_ard_3-2-0_109084_2021-03-21_final
2021-04-16 09:20:22	ga_ls7e_ard_3-2-0_099069_2021-04-15_final
2021-04-17 08:33:03	ga_ls7e_ard_3-2-0_090090_2021-04-16_final
2021-04-30 09:37:08	ga_ls7e_ard_3-2-0_101083_2021-04-30_final
2021-05-01 10:17:07	ga_ls7e_ard_3-2-0_108075_2021-05-01_final
2021-05-02 09:19:25	ga_ls7e_ard_3-2-0_099070_2021-05-01_final
2021-05-15 10:25:07	ga_ls7e_ard_3-2-0_110067_2021-05-15_final
2021-05-16 09:33:24	ga_ls7e_ard_3-2-0_101077_2021-05-16_final
2021-05-23 09:35:24	ga_ls7e_ard_3-2-0_102068_2021-05-23_final
2021-05-23 09:35:48	ga_ls7e_ard_3-2-0_102069_2021-05-23_final
2021-06-19 09:15:49	ga_ls7e_ard_3-2-0_099071_2021-06-18_final
2021-06-20 08:26:54	ga_ls7e_ard_3-2-0_090088_2021-06-19_final
2021-06-23 10:30:26	ga_ls7e_ard_3-2-0_111073_2021-06-23_final
2021-06-28 09:11:41	ga_ls7e_ard_3-2-0_098078_2021-06-27_final
2021-06-28 10:50:33	ga_ls7e_ard_3-2-0_114078_2021-06-28_final
2021-06-30 09:01:33	ga_ls7e_ard_3-2-0_096084_2021-06-29_final
2021-07-01 09:39:56	ga_ls7e_ard_3-2-0_103072_2021-07-01_final
2021-07-02 10:27:06	ga_ls7e_ard_3-2-0_110082_2021-07-02_final
2021-07-06 08:21:10	ga_ls7e_ard_3-2-0_090077_2021-07-05_final
2021-07-29 10:05:26	ga_ls7e_ard_3-2-0_107080_2021-07-29_final
2021-08-03 10:19:33	ga_ls7e_ard_3-2-0_110070_2021-08-03_final
2021-08-21 10:07:12	ga_ls7e_ard_3-2-0_108074_2021-08-21_final
2021-09-09 08:56:22	ga_ls7e_ard_3-2-0_097071_2021-09-08_final
2021-09-16 10:44:24	ga_ls7e_ard_3-2-0_114080_2021-09-16_final
2021-10-19 09:41:04	ga_ls7e_ard_3-2-0_105068_2021-10-19_final
2021-11-08 09:20:04	ga_ls7e_ard_3-2-0_101082_2021-11-07_final
2021-11-12 08:50:58	ga_ls7e_ard_3-2-0_097072_2021-11-11_final
2021-11-20 09:41:37	ga_ls7e_ard_3-2-1_105077_2021-11-20_final
2021-12-04 09:55:03	ga_ls7e_ard_3-2-1_107083_2021-12-04_final
2021-12-09 10:08:44	ga_ls7e_ard_3-2-1_110072_2021-12-09_final
2021-12-12 08:59:40	ga_ls7e_ard_3-2-1_099070_2021-12-11_final
2021-12-14 08:47:07	ga_ls7e_ard_3-2-1_097070_2021-12-13_final
2021-12-19 09:06:22	ga_ls7e_ard_3-2-1_100073_2021-12-18_final
2021-12-27 09:59:01	ga_ls7e_ard_3-2-1_108083_2021-12-27_final
2022-01-02 09:17:20	ga_ls7e_ard_3-2-1_102073_2022-01-01_final
2022-01-15 08:44:00	ga_ls7e_ard_3-2-1_097070_2022-01-14_final
2022-01-24 08:40:56	ga_ls7e_ard_3-2-1_096080_2022-01-23_final
2022-01-30 08:04:52	ga_ls7e_ard_3-2-1_090084_2022-01-29_final
2022-02-06 09:48:49	ga_ls7e_ard_3-2-1_107083_2022-02-06_final
2022-02-07 08:53:54	ga_ls7e_ard_3-2-1_098085_2022-02-06_final
2022-02-08 07:58:35	ga_ls7e_ard_3-2-1_089086_2022-02-07_final
2022-02-14 08:52:10	ga_ls7e_ard_3-2-1_099067_2022-02-13_final
2022-02-16 08:40:48	ga_ls7e_ard_3-2-1_097070_2022-02-15_final
2022-02-18 10:09:31	ga_ls7e_ard_3-2-1_111076_2022-02-18_final
2022-02-22 08:07:32	ga_ls7e_ard_3-2-1_091081_2022-02-21_final
2022-02-24 09:31:04	ga_ls7e_ard_3-2-1_105074_2022-02-24_final
2022-03-03 09:34:35	ga_ls7e_ard_3-2-1_106069_2022-03-03_final
2022-03-04 08:42:28	ga_ls7e_ard_3-2-1_097078_2022-03-03_final
2022-03-20 10:21:20	ga_ls7e_ard_3-2-1_113082_2022-03-20_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