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
1999-12-16 11:43:46	ga_ls7e_ard_3-0-0_115074_1999-12-16_final
2000-01-01 11:43:36	ga_ls7e_ard_3-0-0_115074_2000-01-01_final
2000-02-18 11:43:29	ga_ls7e_ard_3-0-0_115074_2000-02-18_final
2000-03-25 09:44:11	ga_ls7e_ard_3-0-0_095085_2000-03-25_final
2000-12-06 09:39:06	ga_ls7e_ard_3-0-0_095078_2000-12-06_final
2001-01-07 09:38:02	ga_ls7e_ard_3-0-0_095075_2001-01-07_final
2001-01-23 09:39:43	ga_ls7e_ard_3-1-0_095079_2001-01-23_final
2001-10-06 09:35:51	ga_ls7e_ard_3-0-0_095075_2001-10-06_final
2001-11-07 09:38:24	ga_ls7e_ard_3-0-0_095081_2001-11-07_final
2002-03-11 11:39:44	ga_ls7e_ard_3-0-0_115074_2002-03-11_final
2002-06-19 09:36:30	ga_ls7e_ard_3-0-0_095076_2002-06-19_final
2002-07-05 09:36:26	ga_ls7e_ard_3-0-0_095076_2002-07-05_final
2002-09-07 09:32:23	ga_ls7e_ard_3-0-0_095067_2002-09-07_final
2003-02-14 09:37:53	ga_ls7e_ard_3-1-0_095079_2003-02-14_final
2003-04-19 09:38:44	ga_ls7e_ard_3-0-0_095081_2003-04-19_final
2003-11-29 09:39:52	ga_ls7e_ard_3-0-0_095084_2003-11-29_final
2004-10-14 09:37:23	ga_ls7e_ard_3-0-0_095078_2004-10-14_final
2005-02-03 09:37:29	ga_ls7e_ard_3-0-0_095076_2005-02-03_final
2005-08-14 09:38:32	ga_ls7e_ard_3-1-0_095079_2005-08-14_final
2006-02-22 09:38:05	ga_ls7e_ard_3-0-0_095076_2006-02-22_final
2006-03-26 09:38:05	ga_ls7e_ard_3-0-0_095076_2006-03-26_final
2007-12-10 09:39:05	ga_ls7e_ard_3-0-0_095078_2007-12-10_final
2008-01-27 09:37:56	ga_ls7e_ard_3-0-0_095075_2008-01-27_final
2009-06-22 09:38:48	ga_ls7e_ard_3-0-0_095077_2009-06-22_final
2010-04-06 09:41:24	ga_ls7e_ard_3-1-0_095079_2010-04-06_final
2011-06-12 09:42:23	ga_ls7e_ard_3-0-0_095078_2011-06-12_final
2011-08-15 09:43:24	ga_ls7e_ard_3-0-0_095081_2011-08-15_final
2011-09-16 09:40:52	ga_ls7e_ard_3-0-0_095075_2011-09-16_final
2012-03-26 09:42:31	ga_ls7e_ard_3-0-0_095077_2012-03-26_final
2012-09-02 09:44:55	ga_ls7e_ard_3-0-0_095080_2012-09-02_final
2012-10-04 09:45:37	ga_ls7e_ard_3-0-0_095081_2012-10-04_final
2013-01-24 09:46:11	ga_ls7e_ard_3-0-0_095081_2013-01-24_final
2013-04-14 09:44:24	ga_ls7e_ard_3-0-0_095077_2013-04-14_final
2013-08-04 09:45:39	ga_ls7e_ard_3-0-0_095082_2013-08-04_final
2014-08-07 09:44:51	ga_ls7e_ard_3-0-0_095074_2014-08-07_final
2014-08-07 09:46:51	ga_ls7e_ard_3-1-0_095079_2014-08-07_final
2014-11-11 09:46:15	ga_ls7e_ard_3-0-0_095076_2014-11-11_final
2014-12-13 09:50:02	ga_ls7e_ard_3-0-0_095085_2014-12-13_final
2015-04-04 09:47:06	ga_ls7e_ard_3-0-0_095076_2015-04-04_final
2015-08-10 09:47:26	ga_ls7e_ard_3-0-0_095075_2015-08-10_final
2015-09-27 09:48:46	ga_ls7e_ard_3-0-0_095078_2015-09-27_final
2015-12-28 11:53:20	ga_ls7e_ard_3-1-0_115077_2015-12-28_final
2016-03-10 11:49:28	ga_ls7e_ard_3-0-0_114081_2016-03-10_final
2016-12-18 09:50:25	ga_ls7e_ard_3-0-0_095076_2016-12-18_final
2016-12-18 09:50:49	ga_ls7e_ard_3-0-0_095077_2016-12-18_final
2017-01-03 09:49:52	ga_ls7e_ard_3-0-0_095075_2017-01-03_final
2017-07-30 09:50:15	ga_ls7e_ard_3-0-0_095075_2017-07-30_final
2018-07-01 09:46:36	ga_ls7e_ard_3-0-0_095074_2018-07-01_final
2018-08-02 09:48:49	ga_ls7e_ard_3-0-0_095081_2018-08-02_final
2019-03-14 09:42:35	ga_ls7e_ard_3-1-0_095080_2019-03-14_final
2020-05-03 09:21:51	ga_ls7e_ard_3-1-0_095075_2020-05-02_final
2021-01-30 09:04:02	ga_ls7e_ard_3-2-0_095075_2021-01-29_final
2021-03-18 09:57:39	ga_ls7e_ard_3-2-0_104079_2021-03-18_final
2021-03-19 09:01:57	ga_ls7e_ard_3-2-0_095079_2021-03-18_final
2021-03-21 10:27:54	ga_ls7e_ard_3-2-0_109078_2021-03-21_final
2021-03-21 10:28:42	ga_ls7e_ard_3-2-0_109080_2021-03-21_final
2021-03-23 10:14:59	ga_ls7e_ard_3-2-0_107077_2021-03-23_final
2021-04-03 09:56:45	ga_ls7e_ard_3-2-0_104080_2021-04-03_final
2021-04-06 10:27:24	ga_ls7e_ard_3-2-0_109080_2021-04-06_final
2021-04-29 10:31:14	ga_ls7e_ard_3-2-0_110079_2021-04-29_final
2021-05-05 09:52:04	ga_ls7e_ard_3-2-0_104075_2021-05-05_final
2021-05-15 08:49:26	ga_ls7e_ard_3-2-0_094075_2021-05-14_final
2021-05-25 09:27:39	ga_ls7e_ard_3-2-0_100080_2021-05-24_final
2021-05-31 08:49:39	ga_ls7e_ard_3-2-0_094079_2021-05-30_final
2021-06-03 09:21:06	ga_ls7e_ard_3-2-0_099081_2021-06-02_final
2021-06-05 10:46:16	ga_ls7e_ard_3-2-0_113078_2021-06-05_final
2021-06-12 09:11:00	ga_ls7e_ard_3-2-0_098073_2021-06-11_final
2021-06-14 10:38:33	ga_ls7e_ard_3-2-0_112076_2021-06-14_final
2021-06-30 10:37:38	ga_ls7e_ard_3-2-0_112077_2021-06-30_final
2021-06-30 10:38:50	ga_ls7e_ard_3-2-0_112080_2021-06-30_final
2021-07-01 09:40:20	ga_ls7e_ard_3-2-0_103073_2021-07-01_final
2021-07-02 08:47:49	ga_ls7e_ard_3-2-0_094081_2021-07-01_final
2021-07-07 10:44:49	ga_ls7e_ard_3-2-0_113081_2021-07-07_final
2021-07-09 08:51:01	ga_ls7e_ard_3-2-0_095075_2021-07-08_final
2021-07-13 08:29:09	ga_ls7e_ard_3-2-0_091083_2021-07-12_final
2021-07-16 08:59:47	ga_ls7e_ard_3-2-0_096083_2021-07-15_final
2021-07-16 10:35:28	ga_ls7e_ard_3-2-0_112075_2021-07-16_final
2021-07-24 09:45:21	ga_ls7e_ard_3-2-0_104075_2021-07-24_final
2021-08-01 08:55:12	ga_ls7e_ard_3-2-0_096075_2021-07-31_final
2021-08-02 09:37:58	ga_ls7e_ard_3-2-0_103074_2021-08-02_final
2021-08-02 09:39:10	ga_ls7e_ard_3-2-0_103077_2021-08-02_final
2021-08-03 10:22:21	ga_ls7e_ard_3-2-0_110077_2021-08-03_final
2021-08-17 08:53:23	ga_ls7e_ard_3-2-0_096074_2021-08-16_final
2021-08-27 09:29:36	ga_ls7e_ard_3-2-0_102074_2021-08-26_final
2021-09-08 09:54:28	ga_ls7e_ard_3-2-0_106077_2021-09-08_final
2021-09-15 08:21:57	ga_ls7e_ard_3-2-0_091079_2021-09-14_final
2021-10-10 09:52:26	ga_ls7e_ard_3-2-0_106079_2021-10-10_final
2021-10-31 10:10:16	ga_ls7e_ard_3-2-0_109082_2021-10-31_final
2021-11-13 09:34:56	ga_ls7e_ard_3-2-1_104074_2021-11-13_final
2021-11-20 09:39:14	ga_ls7e_ard_3-2-1_105071_2021-11-20_final
2021-12-02 10:06:24	ga_ls7e_ard_3-2-1_109080_2021-12-02_final
2021-12-09 08:31:27	ga_ls7e_ard_3-2-1_094076_2021-12-08_final
2021-12-17 09:21:19	ga_ls7e_ard_3-2-1_102079_2021-12-16_final
2021-12-25 08:31:06	ga_ls7e_ard_3-2-1_094079_2021-12-24_final
2022-01-26 08:27:11	ga_ls7e_ard_3-2-1_094077_2022-01-25_final
2022-02-25 08:34:58	ga_ls7e_ard_3-2-1_096073_2022-02-24_final
2022-02-26 09:19:19	ga_ls7e_ard_3-2-1_103076_2022-02-25_final
2022-03-04 08:43:15	ga_ls7e_ard_3-2-1_097080_2022-03-03_final
2022-03-09 09:01:18	ga_ls7e_ard_3-2-1_100080_2022-03-08_final
2022-03-31 08:20:29	ga_ls7e_ard_3-2-1_094076_2022-03-30_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