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
2002-02-25 11:30:34	ga_ls7e_ard_3-0-0_113082_2002-02-25_final
2002-03-31 09:39:11	ga_ls7e_ard_3-0-0_095082_2002-03-31_final
2002-09-07 09:39:58	ga_ls7e_ard_3-0-0_095086_2002-09-07_final
2002-12-12 09:35:02	ga_ls7e_ard_3-1-0_095073_2002-12-12_final
2003-01-27 11:27:20	ga_ls7e_ard_3-0-0_113075_2003-01-27_final
2003-07-24 09:40:06	ga_ls7e_ard_3-0-0_095085_2003-07-24_final
2003-12-20 11:35:03	ga_ls7e_ard_3-0-0_114078_2003-12-20_final
2004-02-17 09:36:43	ga_ls7e_ard_3-0-0_095075_2004-02-17_final
2004-07-10 09:40:11	ga_ls7e_ard_3-0-0_095084_2004-07-10_final
2004-09-17 11:34:51	ga_ls7e_ard_3-0-0_114078_2004-09-17_final
2004-11-15 09:38:32	ga_ls7e_ard_3-0-0_095080_2004-11-15_final
2004-12-31 11:30:59	ga_ls7e_ard_3-0-0_113082_2004-12-31_final
2005-01-23 11:34:01	ga_ls7e_ard_3-0-0_114074_2005-01-23_final
2005-02-08 11:34:34	ga_ls7e_ard_3-0-0_114075_2005-02-08_final
2005-02-17 11:30:27	ga_ls7e_ard_3-0-0_113080_2005-02-17_final
2005-03-23 09:41:17	ga_ls7e_ard_3-0-0_095085_2005-03-23_final
2005-08-14 09:39:44	ga_ls7e_ard_3-0-0_095082_2005-08-14_final
2005-09-29 11:28:19	ga_ls7e_ard_3-0-0_113076_2005-09-29_final
2005-10-17 09:36:21	ga_ls7e_ard_3-0-0_095074_2005-10-17_final
2005-11-07 11:35:38	ga_ls7e_ard_3-0-0_114078_2005-11-07_final
2006-06-30 09:39:54	ga_ls7e_ard_3-0-0_095081_2006-06-30_final
2006-08-06 11:36:42	ga_ls7e_ard_3-1-0_114080_2006-08-06_final
2007-09-21 09:36:59	ga_ls7e_ard_3-0-0_095074_2007-09-21_final
2009-01-27 11:31:48	ga_ls7e_ard_3-0-0_113083_2009-01-27_final
2009-04-01 11:31:30	ga_ls7e_ard_3-0-0_113081_2009-04-01_final
2009-08-05 11:41:49	ga_ls7e_ard_3-0-0_115076_2009-08-05_final
2009-11-02 11:36:15	ga_ls7e_ard_3-0-0_114077_2009-11-02_final
2010-01-16 09:41:31	ga_ls7e_ard_3-0-0_095081_2010-01-16_final
2010-03-01 11:43:38	ga_ls7e_ard_3-0-0_115076_2010-03-01_final
2010-04-18 11:43:01	ga_ls7e_ard_3-0-0_115074_2010-04-18_final
2010-09-27 11:32:43	ga_ls7e_ard_3-0-0_113079_2010-09-27_final
2010-11-12 11:43:29	ga_ls7e_ard_3-0-0_115074_2010-11-12_final
2011-02-20 09:43:28	ga_ls7e_ard_3-0-0_095081_2011-02-20_final
2011-11-15 11:44:46	ga_ls7e_ard_3-0-0_115075_2011-11-15_final
2012-03-26 09:44:55	ga_ls7e_ard_3-0-0_095083_2012-03-26_final
2013-04-10 11:47:38	ga_ls7e_ard_3-0-0_115076_2013-04-10_final
2014-12-11 11:38:03	ga_ls7e_ard_3-0-0_113077_2014-12-11_final
2015-01-03 11:43:33	ga_ls7e_ard_3-0-0_114075_2015-01-03_final
2015-05-22 09:50:15	ga_ls7e_ard_3-0-0_095083_2015-05-22_final
2015-11-14 09:51:29	ga_ls7e_ard_3-0-0_095083_2015-11-14_final
2015-11-28 11:42:07	ga_ls7e_ard_3-0-0_113081_2015-11-28_final
2016-01-17 09:52:27	ga_ls7e_ard_3-0-0_095083_2016-01-17_final
2016-07-09 11:42:12	ga_ls7e_ard_3-0-0_113077_2016-07-09_final
2016-07-11 09:51:45	ga_ls7e_ard_3-1-0_095079_2016-07-11_final
2016-08-28 09:49:52	ga_ls7e_ard_3-0-0_095074_2016-08-28_final
2016-12-02 09:48:54	ga_ls7e_ard_3-0-0_095072_2016-12-02_final
2017-02-20 09:53:35	ga_ls7e_ard_3-0-0_095085_2017-02-20_final
2017-06-12 09:53:00	ga_ls7e_ard_3-0-0_095082_2017-06-12_final
2017-07-28 11:42:41	ga_ls7e_ard_3-0-0_113078_2017-07-28_final
2018-03-11 09:51:39	ga_ls7e_ard_3-0-0_095082_2018-03-11_final
2018-03-27 09:49:02	ga_ls7e_ard_3-0-0_095076_2018-03-27_final
2018-07-17 09:49:29	ga_ls7e_ard_3-0-0_095082_2018-07-17_final
2018-08-30 11:50:16	ga_ls7e_ard_3-1-0_115077_2018-08-30_final
2018-12-08 09:46:43	ga_ls7e_ard_3-0-0_095083_2018-12-08_final
2019-03-03 11:38:22	ga_ls7e_ard_3-1-0_114075_2019-03-03_final
2019-05-22 11:37:53	ga_ls7e_ard_3-0-0_114081_2019-05-22_final
2019-11-09 09:30:19	ga_ls7e_ard_3-1-0_095073_2019-11-09_final
2019-12-25 11:20:06	ga_ls7e_ard_3-1-0_113075_2019-12-25_final
2020-01-17 11:27:07	ga_ls7e_ard_3-1-0_114080_2020-01-17_final
2020-03-30 11:16:17	ga_ls7e_ard_3-1-0_113078_2020-03-30_final
2020-08-23 09:13:50	ga_ls7e_ard_3-1-0_095072_2020-08-22_final
2021-03-05 08:52:41	ga_ls7e_ard_3-2-0_093084_2021-03-04_final
2021-03-07 10:14:40	ga_ls7e_ard_3-2-0_107073_2021-03-07_final
2021-03-13 09:37:30	ga_ls7e_ard_3-2-0_101074_2021-03-13_final
2021-03-14 08:43:48	ga_ls7e_ard_3-2-0_092079_2021-03-13_final
2021-03-15 09:27:23	ga_ls7e_ard_3-2-0_099080_2021-03-14_final
2021-04-21 09:40:53	ga_ls7e_ard_3-2-0_102075_2021-04-21_final
2021-04-23 09:27:09	ga_ls7e_ard_3-2-0_100072_2021-04-22_final
2021-05-03 10:03:00	ga_ls7e_ard_3-2-0_106071_2021-05-03_final
2021-05-12 09:54:52	ga_ls7e_ard_3-2-0_105068_2021-05-12_final
2021-05-15 08:46:14	ga_ls7e_ard_3-2-0_094067_2021-05-14_final
2021-05-19 08:27:58	ga_ls7e_ard_3-2-0_090084_2021-05-18_final
2021-05-25 09:25:15	ga_ls7e_ard_3-2-0_100074_2021-05-24_final
2021-06-12 10:52:16	ga_ls7e_ard_3-2-0_114079_2021-06-12_final
2021-06-16 10:28:25	ga_ls7e_ard_3-2-0_110082_2021-06-16_final
2021-06-19 10:57:05	ga_ls7e_ard_3-2-0_115077_2021-06-19_final
2021-07-05 09:19:40	ga_ls7e_ard_3-2-0_099084_2021-07-04_final
2021-08-04 09:26:14	ga_ls7e_ard_3-2-0_101076_2021-08-03_final
2021-08-15 10:45:12	ga_ls7e_ard_3-2-0_114075_2021-08-15_final
2021-08-21 10:06:48	ga_ls7e_ard_3-2-0_108073_2021-08-21_final
2021-08-28 10:11:11	ga_ls7e_ard_3-2-0_109070_2021-08-28_final
2021-09-15 08:24:21	ga_ls7e_ard_3-2-0_091085_2021-09-14_final
2021-09-23 10:49:09	ga_ls7e_ard_3-2-0_115078_2021-09-23_final
2021-09-28 09:27:58	ga_ls7e_ard_3-2-0_102077_2021-09-27_final
2021-10-07 09:21:00	ga_ls7e_ard_3-2-0_101077_2021-10-06_final
2021-10-22 08:38:24	ga_ls7e_ard_3-2-0_094082_2021-10-21_final
2021-11-03 09:01:12	ga_ls7e_ard_3-2-0_098080_2021-11-02_final
2021-11-07 10:12:12	ga_ls7e_ard_3-2-0_110073_2021-11-07_final
2021-11-08 09:18:04	ga_ls7e_ard_3-2-0_101077_2021-11-07_final
2021-11-23 10:11:49	ga_ls7e_ard_3-2-1_110076_2021-11-23_final
2021-11-26 09:03:34	ga_ls7e_ard_3-2-1_099076_2021-11-25_final
2021-12-04 08:16:59	ga_ls7e_ard_3-2-1_091085_2021-12-03_final
2021-12-11 10:00:34	ga_ls7e_ard_3-2-1_108083_2021-12-11_final
2021-12-12 10:41:20	ga_ls7e_ard_3-2-1_115077_2021-12-12_final
2021-12-20 09:50:20	ga_ls7e_ard_3-2-1_107075_2021-12-20_final
2022-01-01 08:34:34	ga_ls7e_ard_3-2-1_095074_2021-12-31_final
2022-01-03 10:02:53	ga_ls7e_ard_3-2-1_109079_2022-01-03_final
2022-01-06 10:32:41	ga_ls7e_ard_3-2-1_114077_2022-01-06_final
2022-01-29 10:36:16	ga_ls7e_ard_3-2-1_115076_2022-01-29_final
2022-02-04 08:21:19	ga_ls7e_ard_3-2-1_093080_2022-02-03_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