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
1999-12-04 09:42:26	ga_ls7e_ard_3-0-0_095080_1999-12-04_final
2000-05-28 09:38:45	ga_ls7e_ard_3-1-0_095073_2000-05-28_final
2001-01-06 08:57:33	ga_ls7e_ard_3-0-0_088082_2001-01-05_final
2001-03-08 11:41:32	ga_ls7e_ard_3-0-0_115075_2001-03-08_final
2001-03-08 11:42:44	ga_ls7e_ard_3-0-0_115078_2001-03-08_final
2001-11-19 11:40:56	ga_ls7e_ard_3-0-0_115078_2001-11-19_final
2002-11-10 09:39:52	ga_ls7e_ard_3-0-0_095086_2002-11-10_final
2002-11-22 11:40:56	ga_ls7e_ard_3-0-0_115079_2002-11-22_final
2002-12-28 09:38:44	ga_ls7e_ard_3-0-0_095082_2002-12-28_final
2003-01-25 11:40:54	ga_ls7e_ard_3-0-0_115078_2003-01-25_final
2003-02-14 09:35:29	ga_ls7e_ard_3-1-0_095073_2003-02-14_final
2003-04-19 09:41:08	ga_ls7e_ard_3-0-0_095087_2003-04-19_final
2003-11-29 09:38:16	ga_ls7e_ard_3-0-0_095080_2003-11-29_final
2003-12-11 11:40:21	ga_ls7e_ard_3-0-0_115076_2003-12-11_final
2004-01-16 09:40:56	ga_ls7e_ard_3-0-0_095086_2004-01-16_final
2004-05-23 09:35:59	ga_ls7e_ard_3-1-0_095073_2004-05-23_final
2004-07-10 09:40:59	ga_ls7e_ard_3-0-0_095086_2004-07-10_final
2004-11-11 11:41:20	ga_ls7e_ard_3-0-0_115078_2004-11-11_final
2004-11-27 11:40:17	ga_ls7e_ard_3-0-0_115075_2004-11-27_final
2005-02-03 09:39:53	ga_ls7e_ard_3-0-0_095082_2005-02-03_final
2005-02-19 09:40:49	ga_ls7e_ard_3-0-0_095084_2005-02-19_final
2005-08-10 11:41:46	ga_ls7e_ard_3-0-0_115078_2005-08-10_final
2005-11-18 09:36:43	ga_ls7e_ard_3-0-0_095074_2005-11-18_final
2006-01-17 11:41:06	ga_ls7e_ard_3-0-0_115075_2006-01-17_final
2006-11-05 09:39:24	ga_ls7e_ard_3-0-0_095080_2006-11-05_final
2007-04-10 11:43:19	ga_ls7e_ard_3-0-0_115079_2007-04-10_final
2007-11-24 09:37:23	ga_ls7e_ard_3-0-0_095074_2007-11-24_final
2008-01-11 09:41:33	ga_ls7e_ard_3-0-0_095084_2008-01-11_final
2008-01-23 11:41:33	ga_ls7e_ard_3-0-0_115075_2008-01-23_final
2008-07-05 09:41:31	ga_ls7e_ard_3-0-0_095086_2008-07-05_final
2009-04-19 09:36:46	ga_ls7e_ard_3-0-0_095072_2009-04-19_final
2009-11-09 11:43:20	ga_ls7e_ard_3-0-0_115079_2009-11-09_final
2009-12-15 09:41:23	ga_ls7e_ard_3-0-0_095082_2009-12-15_final
2010-05-08 09:43:21	ga_ls7e_ard_3-0-0_095084_2010-05-08_final
2010-12-18 09:39:26	ga_ls7e_ard_3-0-0_095072_2010-12-18_final
2011-10-17 09:00:01	ga_ls7e_ard_3-0-0_088081_2011-10-16_final
2011-11-19 09:40:25	ga_ls7e_ard_3-1-0_095073_2011-11-19_final
2012-02-19 11:46:56	ga_ls7e_ard_3-0-0_115079_2012-02-19_final
2012-04-07 11:46:28	ga_ls7e_ard_3-0-0_115078_2012-04-07_final
2012-09-17 09:02:34	ga_ls7e_ard_3-0-0_088082_2012-09-16_final
2012-10-03 09:02:21	ga_ls7e_ard_3-0-0_088081_2012-10-02_final
2013-02-25 09:46:56	ga_ls7e_ard_3-0-0_095083_2013-02-25_final
2014-09-23 09:04:52	ga_ls7e_ard_3-0-0_088082_2014-09-22_final
2015-02-15 09:50:40	ga_ls7e_ard_3-0-0_095086_2015-02-15_final
2015-06-19 11:52:25	ga_ls7e_ard_3-0-0_115079_2015-06-19_final
2015-07-09 09:50:06	ga_ls7e_ard_3-0-0_095082_2015-07-09_final
2016-11-16 09:48:56	ga_ls7e_ard_3-0-0_095072_2016-11-16_final
2018-05-30 09:46:24	ga_ls7e_ard_3-0-0_095072_2018-05-30_final
2018-07-17 09:48:41	ga_ls7e_ard_3-0-0_095080_2018-07-17_final
2019-12-11 09:32:22	ga_ls7e_ard_3-1-0_095082_2019-12-11_final
2020-02-09 11:31:20	ga_ls7e_ard_3-1-0_115078_2020-02-09_final
2020-07-06 09:17:14	ga_ls7e_ard_3-1-0_095073_2020-07-05_final
2020-08-07 09:17:39	ga_ls7e_ard_3-1-0_095079_2020-08-06_final
2021-02-16 09:44:02	ga_ls7e_ard_3-2-0_102070_2021-02-16_final
2021-02-20 09:24:59	ga_ls7e_ard_3-2-0_098085_2021-02-19_final
2021-02-25 09:42:21	ga_ls7e_ard_3-2-0_101083_2021-02-25_final
2021-03-08 09:23:21	ga_ls7e_ard_3-2-0_098084_2021-03-07_final
2021-03-12 08:54:20	ga_ls7e_ard_3-2-0_094074_2021-03-11_final
2021-03-30 08:45:19	ga_ls7e_ard_3-2-0_092086_2021-03-29_final
2021-04-01 10:07:40	ga_ls7e_ard_3-2-0_106076_2021-04-01_final
2021-04-17 08:27:52	ga_ls7e_ard_3-2-0_090077_2021-04-16_final
2021-04-20 10:36:59	ga_ls7e_ard_3-2-0_111076_2021-04-20_final
2021-04-24 10:11:32	ga_ls7e_ard_3-2-0_107075_2021-04-24_final
2021-05-01 08:43:02	ga_ls7e_ard_3-2-0_092087_2021-04-30_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-06-03 10:58:47	ga_ls7e_ard_3-2-0_115078_2021-06-03_final
2021-06-19 09:20:36	ga_ls7e_ard_3-2-0_099083_2021-06-18_final
2021-06-24 09:33:32	ga_ls7e_ard_3-2-0_102070_2021-06-24_final
2021-07-01 09:38:20	ga_ls7e_ard_3-2-0_103068_2021-07-01_final
2021-07-06 10:01:14	ga_ls7e_ard_3-2-0_106080_2021-07-06_final
2021-07-29 10:03:27	ga_ls7e_ard_3-2-0_107075_2021-07-29_final
2021-07-30 09:05:21	ga_ls7e_ard_3-2-0_098069_2021-07-29_final
2021-08-02 09:41:10	ga_ls7e_ard_3-2-0_103082_2021-08-02_final
2021-08-07 09:58:28	ga_ls7e_ard_3-2-0_106080_2021-08-07_final
2021-08-20 09:27:13	ga_ls7e_ard_3-2-0_101082_2021-08-19_final
2021-09-01 09:50:30	ga_ls7e_ard_3-2-0_105081_2021-09-01_final
2021-09-09 10:36:27	ga_ls7e_ard_3-2-0_113074_2021-09-09_final
2021-09-15 09:57:14	ga_ls7e_ard_3-2-0_107070_2021-09-15_final
2021-09-25 10:35:01	ga_ls7e_ard_3-2-0_113074_2021-09-25_final
2021-10-02 09:03:18	ga_ls7e_ard_3-2-0_098078_2021-10-01_final
2021-10-10 09:53:14	ga_ls7e_ard_3-2-0_106081_2021-10-10_final
2021-10-16 09:12:02	ga_ls7e_ard_3-2-0_100072_2021-10-15_final
2021-10-19 09:41:04	ga_ls7e_ard_3-2-0_105068_2021-10-19_final
2021-10-26 09:49:00	ga_ls7e_ard_3-2-0_106074_2021-10-26_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-18 08:15:18	ga_ls7e_ard_3-2-1_091077_2021-11-17_final
2021-11-19 08:58:52	ga_ls7e_ard_3-2-1_098078_2021-11-18_final
2021-11-25 10:02:04	ga_ls7e_ard_3-2-1_108083_2021-11-25_final
2021-11-27 09:46:44	ga_ls7e_ard_3-2-1_106076_2021-11-27_final
2021-11-28 08:48:14	ga_ls7e_ard_3-2-1_097069_2021-11-27_final
2021-11-28 10:32:42	ga_ls7e_ard_3-2-1_113083_2021-11-28_final
2021-12-13 08:08:21	ga_ls7e_ard_3-2-1_090081_2021-12-12_final
2021-12-18 08:24:48	ga_ls7e_ard_3-2-1_093077_2021-12-17_final
2022-01-16 09:27:58	ga_ls7e_ard_3-2-1_104072_2022-01-15_final
2022-01-24 10:21:01	ga_ls7e_ard_3-2-1_112083_2022-01-24_final
2022-01-26 08:29:11	ga_ls7e_ard_3-2-1_094082_2022-01-25_final
2022-02-02 10:14:21	ga_ls7e_ard_3-2-1_111084_2022-02-02_final
2022-02-07 10:28:47	ga_ls7e_ard_3-2-1_114075_2022-02-07_final
2022-02-07 10:31:11	ga_ls7e_ard_3-2-1_114081_2022-02-07_final
2022-02-22 08:09:32	ga_ls7e_ard_3-2-1_091086_2022-02-21_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