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
2000-05-01 11:38:31	ga_ls7e_ard_3-0-0_114078_2000-05-01_final
2001-07-14 11:41:21	ga_ls7e_ard_3-0-0_115077_2001-07-14_final
2001-08-31 11:40:42	ga_ls7e_ard_3-1-0_115077_2001-08-31_final
2002-09-19 11:40:34	ga_ls7e_ard_3-0-0_115079_2002-09-19_final
2003-03-07 11:35:22	ga_ls7e_ard_3-0-0_114079_2003-03-07_final
2003-11-18 11:33:39	ga_ls7e_ard_3-0-0_114075_2003-11-18_final
2004-12-06 11:34:58	ga_ls7e_ard_3-0-0_114077_2004-12-06_final
2005-01-07 11:35:36	ga_ls7e_ard_3-0-0_114078_2005-01-07_final
2005-06-16 11:35:16	ga_ls7e_ard_3-0-0_114077_2005-06-16_final
2006-08-06 11:35:54	ga_ls7e_ard_3-0-0_114078_2006-08-06_final
2006-09-30 11:41:02	ga_ls7e_ard_3-0-0_115076_2006-09-30_final
2007-09-10 11:36:04	ga_ls7e_ard_3-0-0_114078_2007-09-10_final
2008-08-27 11:36:29	ga_ls7e_ard_3-0-0_114081_2008-08-27_final
2008-09-28 11:34:36	ga_ls7e_ard_3-0-0_114077_2008-09-28_final
2008-10-30 11:34:45	ga_ls7e_ard_3-0-0_114077_2008-10-30_final
2008-12-17 11:36:08	ga_ls7e_ard_3-0-0_114079_2008-12-17_final
2009-03-23 11:36:50	ga_ls7e_ard_3-0-0_114079_2009-03-23_final
2009-05-17 11:42:26	ga_ls7e_ard_3-1-0_115077_2009-05-17_final
2009-11-02 11:35:03	ga_ls7e_ard_3-0-0_114074_2009-11-02_final
2011-04-05 11:44:26	ga_ls7e_ard_3-0-0_115074_2011-04-05_final
2011-07-19 11:39:44	ga_ls7e_ard_3-0-0_114078_2011-07-19_final
2012-02-12 11:39:33	ga_ls7e_ard_3-0-0_114076_2012-02-12_final
2012-06-19 11:39:28	ga_ls7e_ard_3-0-0_114075_2012-06-19_final
2012-11-26 11:42:37	ga_ls7e_ard_3-0-0_114079_2012-11-26_final
2014-08-03 11:48:51	ga_ls7e_ard_3-0-0_115075_2014-08-03_final
2014-09-20 11:50:31	ga_ls7e_ard_3-0-0_115079_2014-09-20_final
2014-12-25 11:50:08	ga_ls7e_ard_3-0-0_115076_2014-12-25_final
2017-10-14 11:54:14	ga_ls7e_ard_3-0-0_115076_2017-10-14_final
2019-01-21 11:46:36	ga_ls7e_ard_3-0-0_115077_2019-01-21_final
2019-01-30 11:40:31	ga_ls7e_ard_3-0-0_114078_2019-01-30_final
2019-07-25 11:33:54	ga_ls7e_ard_3-0-0_114077_2019-07-25_final
2020-12-07 09:43:48	ga_ls7e_ard_3-1-0_101072_2020-12-07_final
2020-12-17 08:47:38	ga_ls7e_ard_3-1-0_091088_2020-12-16_final
2020-12-20 10:51:59	ga_ls7e_ard_3-1-0_112075_2020-12-20_final
2020-12-29 09:09:05	ga_ls7e_ard_3-1-0_095082_2020-12-28_final
2021-01-02 08:44:54	ga_ls7e_ard_3-1-0_091084_2021-01-01_final
2021-01-03 11:03:46	ga_ls7e_ard_3-1-0_114076_2021-01-03_final
2021-01-07 09:01:53	ga_ls7e_ard_3-1-0_094081_2021-01-06_final
2021-01-13 09:59:17	ga_ls7e_ard_3-1-0_104071_2021-01-13_final
2021-01-18 10:19:27	ga_ls7e_ard_3-1-0_107076_2021-01-18_final
2021-01-26 09:28:38	ga_ls7e_ard_3-2-0_099074_2021-01-25_final
2021-01-27 10:13:01	ga_ls7e_ard_3-2-0_106077_2021-01-27_final
2021-01-31 09:48:49	ga_ls7e_ard_3-2-0_102079_2021-01-31_final
2021-02-23 09:51:16	ga_ls7e_ard_3-2-0_103074_2021-02-23_final
2021-02-28 08:33:20	ga_ls7e_ard_3-2-0_090081_2021-02-27_final
2021-03-07 08:40:10	ga_ls7e_ard_3-2-0_091084_2021-03-06_final
2021-03-10 10:47:43	ga_ls7e_ard_3-2-0_112079_2021-03-10_final
2021-03-28 10:30:43	ga_ls7e_ard_3-2-0_110071_2021-03-28_final
2021-03-29 09:35:49	ga_ls7e_ard_3-2-0_101073_2021-03-29_final
2021-04-01 08:32:47	ga_ls7e_ard_3-2-0_090086_2021-03-31_final
2021-04-02 09:13:34	ga_ls7e_ard_3-2-0_097080_2021-04-01_final
2021-04-14 09:37:41	ga_ls7e_ard_3-2-0_101081_2021-04-14_final
2021-04-20 10:38:59	ga_ls7e_ard_3-2-0_111081_2021-04-20_final
2021-04-21 09:40:53	ga_ls7e_ard_3-2-0_102075_2021-04-21_final
2021-04-24 10:10:44	ga_ls7e_ard_3-2-0_107073_2021-04-24_final
2021-04-25 10:55:54	ga_ls7e_ard_3-2-0_114078_2021-04-25_final
2021-04-28 09:49:15	ga_ls7e_ard_3-2-0_103082_2021-04-28_final
2021-05-11 09:16:29	ga_ls7e_ard_3-2-0_098080_2021-05-10_final
2021-06-02 08:35:55	ga_ls7e_ard_3-2-0_092076_2021-06-01_final
2021-06-09 08:42:44	ga_ls7e_ard_3-2-0_093079_2021-06-08_final
2021-06-09 08:43:32	ga_ls7e_ard_3-2-0_093081_2021-06-08_final
2021-06-13 08:19:41	ga_ls7e_ard_3-2-0_089084_2021-06-12_final
2021-06-16 08:48:21	ga_ls7e_ard_3-2-0_094079_2021-06-15_final
2021-06-16 10:27:38	ga_ls7e_ard_3-2-0_110080_2021-06-16_final
2021-07-09 08:53:48	ga_ls7e_ard_3-2-0_095082_2021-07-08_final
2021-07-18 08:44:28	ga_ls7e_ard_3-2-0_094076_2021-07-17_final
2021-07-18 08:46:27	ga_ls7e_ard_3-2-0_094081_2021-07-17_final
2021-07-24 09:43:21	ga_ls7e_ard_3-2-0_104070_2021-07-24_final
2021-07-30 09:06:33	ga_ls7e_ard_3-2-0_098072_2021-07-29_final
2021-08-07 09:54:52	ga_ls7e_ard_3-2-0_106071_2021-08-07_final
2021-08-13 09:22:27	ga_ls7e_ard_3-2-0_100084_2021-08-12_final
2021-08-26 08:48:49	ga_ls7e_ard_3-2-0_095080_2021-08-25_final
2021-09-04 10:21:56	ga_ls7e_ard_3-2-0_110083_2021-09-04_final
2021-09-13 10:10:59	ga_ls7e_ard_3-2-0_109073_2021-09-13_final
2021-09-14 09:17:40	ga_ls7e_ard_3-2-0_100079_2021-09-13_final
2021-09-14 09:18:28	ga_ls7e_ard_3-2-0_100081_2021-09-13_final
2021-09-18 08:49:48	ga_ls7e_ard_3-2-0_096072_2021-09-17_final
2021-09-18 08:51:47	ga_ls7e_ard_3-2-0_096077_2021-09-17_final
2021-09-19 09:34:10	ga_ls7e_ard_3-2-0_103075_2021-09-19_final
2021-10-19 09:42:15	ga_ls7e_ard_3-2-0_105071_2021-10-19_final
2021-10-20 08:48:09	ga_ls7e_ard_3-2-0_096075_2021-10-19_final
2021-10-24 08:25:51	ga_ls7e_ard_3-2-0_092082_2021-10-23_final
2021-10-27 10:35:45	ga_ls7e_ard_3-2-0_113083_2021-10-27_final
2021-11-07 08:30:55	ga_ls7e_ard_3-2-0_094067_2021-11-06_final
2021-11-19 10:38:08	ga_ls7e_ard_3-2-1_114079_2021-11-19_final
2021-11-21 08:48:42	ga_ls7e_ard_3-2-1_096084_2021-11-20_final
2021-11-29 09:31:48	ga_ls7e_ard_3-2-1_104070_2021-11-29_final
2021-12-08 09:27:58	ga_ls7e_ard_3-2-1_103078_2021-12-07_final
2021-12-18 10:02:29	ga_ls7e_ard_3-2-1_109074_2021-12-18_final
2021-12-20 08:15:51	ga_ls7e_ard_3-2-1_091086_2021-12-19_final
2021-12-30 08:48:44	ga_ls7e_ard_3-2-1_097078_2021-12-29_final
2022-01-15 10:27:40	ga_ls7e_ard_3-2-1_113082_2022-01-15_final
2022-01-20 09:06:03	ga_ls7e_ard_3-2-1_100080_2022-01-19_final
2022-02-02 10:11:33	ga_ls7e_ard_3-2-1_111077_2022-02-02_final
2022-02-10 09:19:42	ga_ls7e_ard_3-2-1_103073_2022-02-09_final
2022-02-12 09:07:32	ga_ls7e_ard_3-2-1_101074_2022-02-11_final
2022-02-13 09:51:29	ga_ls7e_ard_3-2-1_108076_2022-02-13_final
2022-02-15 09:39:18	ga_ls7e_ard_3-2-1_106077_2022-02-15_final
2022-02-23 08:50:42	ga_ls7e_ard_3-2-1_098081_2022-02-22_final
2022-04-02 09:45:13	ga_ls7e_ard_3-2-1_108072_2022-04-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years