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
2003-02-14 09:40:16	ga_ls7e_ard_3-0-0_095085_2003-02-14_final
2003-04-19 09:40:20	ga_ls7e_ard_3-0-0_095085_2003-04-19_final
2003-05-21 09:39:51	ga_ls7e_ard_3-0-0_095084_2003-05-21_final
2003-10-12 09:36:29	ga_ls7e_ard_3-0-0_095077_2003-10-12_final
2004-01-16 09:40:32	ga_ls7e_ard_3-0-0_095085_2004-01-16_final
2004-04-05 09:38:51	ga_ls7e_ard_3-0-0_095080_2004-04-05_final
2004-12-17 09:38:25	ga_ls7e_ard_3-1-0_095079_2004-12-17_final
2005-04-24 09:37:57	ga_ls7e_ard_3-0-0_095077_2005-04-24_final
2005-08-14 09:38:08	ga_ls7e_ard_3-0-0_095078_2005-08-14_final
2006-05-29 09:38:51	ga_ls7e_ard_3-0-0_095078_2006-05-29_final
2006-09-18 09:38:19	ga_ls7e_ard_3-0-0_095078_2006-09-18_final
2008-05-18 09:39:10	ga_ls7e_ard_3-1-0_095079_2008-05-18_final
2008-08-22 09:37:54	ga_ls7e_ard_3-0-0_095078_2008-08-22_final
2008-11-10 09:38:17	ga_ls7e_ard_3-1-0_095079_2008-11-10_final
2009-01-13 09:41:17	ga_ls7e_ard_3-0-0_095085_2009-01-13_final
2009-01-29 09:38:58	ga_ls7e_ard_3-1-0_095079_2009-01-29_final
2009-04-19 09:37:58	ga_ls7e_ard_3-0-0_095075_2009-04-19_final
2009-06-06 09:38:50	ga_ls7e_ard_3-0-0_095077_2009-06-06_final
2009-06-22 09:39:36	ga_ls7e_ard_3-1-0_095079_2009-06-22_final
2010-01-16 09:40:19	ga_ls7e_ard_3-0-0_095078_2010-01-16_final
2011-06-12 09:43:35	ga_ls7e_ard_3-0-0_095081_2011-06-12_final
2012-08-17 09:44:21	ga_ls7e_ard_3-1-0_095079_2012-08-17_final
2012-09-18 09:47:02	ga_ls7e_ard_3-0-0_095085_2012-09-18_final
2013-06-01 09:43:44	ga_ls7e_ard_3-0-0_095076_2013-06-01_final
2013-06-17 09:43:39	ga_ls7e_ard_3-0-0_095076_2013-06-17_final
2014-02-12 09:46:25	ga_ls7e_ard_3-0-0_095080_2014-02-12_final
2014-04-17 09:47:06	ga_ls7e_ard_3-0-0_095081_2014-04-17_final
2014-05-03 09:44:49	ga_ls7e_ard_3-0-0_095075_2014-05-03_final
2014-08-07 09:45:39	ga_ls7e_ard_3-0-0_095076_2014-08-07_final
2015-04-04 09:47:54	ga_ls7e_ard_3-0-0_095078_2015-04-04_final
2015-08-26 09:47:27	ga_ls7e_ard_3-0-0_095075_2015-08-26_final
2015-09-11 09:49:54	ga_ls7e_ard_3-0-0_095081_2015-09-11_final
2015-10-13 09:51:21	ga_ls7e_ard_3-0-0_095084_2015-10-13_final
2015-10-29 09:50:25	ga_ls7e_ard_3-0-0_095081_2015-10-29_final
2015-11-30 09:49:42	ga_ls7e_ard_3-0-0_095078_2015-11-30_final
2016-06-25 09:53:21	ga_ls7e_ard_3-0-0_095083_2016-06-25_final
2016-11-16 09:50:32	ga_ls7e_ard_3-0-0_095076_2016-11-16_final
2017-05-27 09:52:31	ga_ls7e_ard_3-0-0_095081_2017-05-27_final
2017-07-30 09:51:26	ga_ls7e_ard_3-0-0_095078_2017-07-30_final
2017-08-31 09:51:01	ga_ls7e_ard_3-0-0_095077_2017-08-31_final
2017-11-03 09:51:50	ga_ls7e_ard_3-1-0_095079_2017-11-03_final
2018-02-23 09:51:02	ga_ls7e_ard_3-0-0_095080_2018-02-23_final
2018-03-27 09:51:02	ga_ls7e_ard_3-0-0_095081_2018-03-27_final
2018-04-12 09:49:12	ga_ls7e_ard_3-0-0_095077_2018-04-12_final
2018-11-22 09:45:08	ga_ls7e_ard_3-0-0_095078_2018-11-22_final
2019-05-17 09:38:16	ga_ls7e_ard_3-0-0_095075_2019-05-17_final
2019-12-27 09:28:46	ga_ls7e_ard_3-1-0_095075_2019-12-26_final
2020-11-11 09:10:35	ga_ls7e_ard_3-1-0_095077_2020-11-10_final
2021-02-13 09:16:09	ga_ls7e_ard_3-2-0_097077_2021-02-12_final
2021-03-03 09:01:37	ga_ls7e_ard_3-2-0_095075_2021-03-02_final
2021-03-09 10:04:08	ga_ls7e_ard_3-2-0_105078_2021-03-09_final
2021-03-12 08:57:07	ga_ls7e_ard_3-2-0_094081_2021-03-11_final
2021-04-03 09:53:33	ga_ls7e_ard_3-2-0_104072_2021-04-03_final
2021-04-04 10:39:31	ga_ls7e_ard_3-2-0_111079_2021-04-04_final
2021-04-04 10:39:55	ga_ls7e_ard_3-2-0_111080_2021-04-04_final
2021-04-20 10:38:35	ga_ls7e_ard_3-2-0_111080_2021-04-20_final
2021-04-24 08:35:50	ga_ls7e_ard_3-2-0_091083_2021-04-23_final
2021-05-09 09:27:01	ga_ls7e_ard_3-2-0_100075_2021-05-08_final
2021-05-15 08:50:14	ga_ls7e_ard_3-2-0_094077_2021-05-14_final
2021-05-21 09:48:43	ga_ls7e_ard_3-2-0_104070_2021-05-21_final
2021-05-23 09:39:23	ga_ls7e_ard_3-2-0_102078_2021-05-23_final
2021-06-04 10:04:17	ga_ls7e_ard_3-2-0_106081_2021-06-04_final
2021-06-05 09:08:11	ga_ls7e_ard_3-2-0_097080_2021-06-04_final
2021-06-05 10:46:39	ga_ls7e_ard_3-2-0_113079_2021-06-05_final
2021-06-06 09:48:58	ga_ls7e_ard_3-2-0_104074_2021-06-06_final
2021-07-14 09:08:20	ga_ls7e_ard_3-2-0_098073_2021-07-13_final
2021-07-21 09:15:06	ga_ls7e_ard_3-2-0_099076_2021-07-20_final
2021-07-27 08:39:06	ga_ls7e_ard_3-2-0_093080_2021-07-26_final
2021-08-03 08:42:40	ga_ls7e_ard_3-2-0_094075_2021-08-02_final
2021-08-11 09:32:12	ga_ls7e_ard_3-2-0_102077_2021-08-11_final
2021-08-15 09:06:43	ga_ls7e_ard_3-2-0_098076_2021-08-14_final
2021-08-17 10:35:03	ga_ls7e_ard_3-2-0_112081_2021-08-17_final
2021-08-24 08:59:21	ga_ls7e_ard_3-2-0_097075_2021-08-23_final
2021-08-25 09:41:44	ga_ls7e_ard_3-2-0_104073_2021-08-25_final
2021-09-02 10:34:52	ga_ls7e_ard_3-2-0_112084_2021-09-02_final
2021-09-07 09:09:42	ga_ls7e_ard_3-2-0_099073_2021-09-06_final
2021-09-09 08:58:22	ga_ls7e_ard_3-2-0_097076_2021-09-08_final
2021-09-26 09:40:30	ga_ls7e_ard_3-2-0_104077_2021-09-26_final
2021-10-06 08:38:38	ga_ls7e_ard_3-2-0_094079_2021-10-05_final
2021-10-19 09:43:03	ga_ls7e_ard_3-2-0_105073_2021-10-19_final
2021-10-20 10:27:49	ga_ls7e_ard_3-2-0_112077_2021-10-20_final
2021-10-27 10:32:58	ga_ls7e_ard_3-2-0_113076_2021-10-27_final
2021-11-20 09:40:01	ga_ls7e_ard_3-2-1_105073_2021-11-20_final
2021-11-25 10:00:04	ga_ls7e_ard_3-2-1_108078_2021-11-25_final
2021-11-28 10:29:54	ga_ls7e_ard_3-2-1_113076_2021-11-28_final
2021-11-28 10:30:42	ga_ls7e_ard_3-2-1_113078_2021-11-28_final
2021-11-28 10:31:06	ga_ls7e_ard_3-2-1_113079_2021-11-28_final
2021-11-30 08:39:40	ga_ls7e_ard_3-2-1_095079_2021-11-29_final
2021-12-12 09:04:04	ga_ls7e_ard_3-2-1_099081_2021-12-11_final
2021-12-22 09:36:59	ga_ls7e_ard_3-2-1_105073_2021-12-22_final
2021-12-30 10:27:37	ga_ls7e_ard_3-2-1_113078_2021-12-30_final
2022-01-01 08:35:22	ga_ls7e_ard_3-2-1_095076_2021-12-31_final
2022-01-01 08:36:10	ga_ls7e_ard_3-2-1_095078_2021-12-31_final
2022-01-09 09:22:50	ga_ls7e_ard_3-2-1_103073_2022-01-08_final
2022-01-22 08:51:06	ga_ls7e_ard_3-2-1_098074_2022-01-21_final
2022-01-26 08:26:47	ga_ls7e_ard_3-2-1_094076_2022-01-25_final
2022-03-06 08:30:42	ga_ls7e_ard_3-2-1_095080_2022-03-05_final
2022-03-18 08:51:48	ga_ls7e_ard_3-2-1_099074_2022-03-17_final
2022-03-19 09:36:58	ga_ls7e_ard_3-2-1_106079_2022-03-19_final
2022-03-29 08:35:02	ga_ls7e_ard_3-2-1_096081_2022-03-28_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