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
1999-10-13 11:44:13	ga_ls7e_ard_3-0-0_115075_1999-10-13_final
2001-01-23 09:42:31	ga_ls7e_ard_3-0-0_095086_2001-01-23_final
2001-04-25 11:41:16	ga_ls7e_ard_3-0-0_115075_2001-04-25_final
2002-02-11 09:40:54	ga_ls7e_ard_3-0-0_095086_2002-02-11_final
2003-02-14 09:35:05	ga_ls7e_ard_3-0-0_095072_2003-02-14_final
2003-08-05 11:39:12	ga_ls7e_ard_3-0-0_115074_2003-08-05_final
2003-11-25 11:39:53	ga_ls7e_ard_3-0-0_115075_2003-11-25_final
2003-12-27 11:40:29	ga_ls7e_ard_3-0-0_115076_2003-12-27_final
2004-04-01 11:41:40	ga_ls7e_ard_3-0-0_115078_2004-04-01_final
2004-08-23 11:39:35	ga_ls7e_ard_3-0-0_115074_2004-08-23_final
2004-09-12 09:40:39	ga_ls7e_ard_3-0-0_095086_2004-09-12_final
2004-10-14 09:40:10	ga_ls7e_ard_3-0-0_095085_2004-10-14_final
2005-01-02 09:41:21	ga_ls7e_ard_3-0-0_095086_2005-01-02_final
2005-02-19 09:39:13	ga_ls7e_ard_3-0-0_095080_2005-02-19_final
2005-04-04 11:41:15	ga_ls7e_ard_3-0-0_115076_2005-04-04_final
2005-07-09 11:40:14	ga_ls7e_ard_3-0-0_115074_2005-07-09_final
2005-11-02 09:39:21	ga_ls7e_ard_3-0-0_095081_2005-11-02_final
2005-12-20 09:42:01	ga_ls7e_ard_3-0-0_095087_2005-12-20_final
2006-07-05 11:37:18	ga_ls7e_ard_3-0-0_114081_2006-07-05_final
2006-11-01 11:40:33	ga_ls7e_ard_3-0-0_115074_2006-11-01_final
2006-12-23 09:41:47	ga_ls7e_ard_3-0-0_095085_2006-12-23_final
2007-04-30 09:36:52	ga_ls7e_ard_3-0-0_095072_2007-04-30_final
2007-05-12 11:41:36	ga_ls7e_ard_3-0-0_115075_2007-05-12_final
2007-09-21 09:36:11	ga_ls7e_ard_3-0-0_095072_2007-09-21_final
2008-02-24 11:41:50	ga_ls7e_ard_3-0-0_115076_2008-02-24_final
2008-05-18 09:39:58	ga_ls7e_ard_3-0-0_095081_2008-05-18_final
2008-06-19 09:36:54	ga_ls7e_ard_3-0-0_095074_2008-06-19_final
2008-07-05 09:41:31	ga_ls7e_ard_3-0-0_095086_2008-07-05_final
2009-02-14 09:42:17	ga_ls7e_ard_3-0-0_095087_2009-02-14_final
2009-02-19 11:36:58	ga_ls7e_ard_3-0-0_114080_2009-02-19_final
2009-06-22 09:42:00	ga_ls7e_ard_3-0-0_095085_2009-06-22_final
2010-02-13 11:42:42	ga_ls7e_ard_3-0-0_115074_2010-02-13_final
2010-04-11 11:39:38	ga_ls7e_ard_3-0-0_114081_2010-04-11_final
2011-01-19 09:41:19	ga_ls7e_ard_3-0-0_095076_2011-01-19_final
2011-05-07 11:46:01	ga_ls7e_ard_3-0-0_115078_2011-05-07_final
2011-07-14 09:42:19	ga_ls7e_ard_3-0-0_095078_2011-07-14_final
2012-03-31 11:41:32	ga_ls7e_ard_3-0-0_114081_2012-03-31_final
2012-08-16 09:01:53	ga_ls7e_ard_3-0-0_088081_2012-08-15_final
2012-12-03 11:47:11	ga_ls7e_ard_3-0-0_115075_2012-12-03_final
2013-07-03 09:47:30	ga_ls7e_ard_3-0-0_095086_2013-07-03_final
2014-03-12 11:48:25	ga_ls7e_ard_3-0-0_115076_2014-03-12_final
2014-07-06 09:47:55	ga_ls7e_ard_3-0-0_095082_2014-07-06_final
2014-07-22 09:49:09	ga_ls7e_ard_3-0-0_095085_2014-07-22_final
2014-10-26 09:49:18	ga_ls7e_ard_3-0-0_095084_2014-10-26_final
2014-11-23 11:49:05	ga_ls7e_ard_3-0-0_115074_2014-11-23_final
2014-12-02 11:45:24	ga_ls7e_ard_3-0-0_114080_2014-12-02_final
2015-03-15 11:50:10	ga_ls7e_ard_3-0-0_115075_2015-03-15_final
2016-09-29 09:51:09	ga_ls7e_ard_3-0-0_095077_2016-09-29_final
2016-10-04 11:50:11	ga_ls7e_ard_3-0-0_114081_2016-10-04_final
2016-12-02 09:54:54	ga_ls7e_ard_3-0-0_095087_2016-12-02_final
2017-03-24 09:54:12	ga_ls7e_ard_3-0-0_095086_2017-03-24_final
2017-07-10 11:55:04	ga_ls7e_ard_3-0-0_115078_2017-07-10_final
2017-09-28 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-09-28_final
2018-01-11 11:49:03	ga_ls7e_ard_3-0-0_114080_2018-01-11_final
2019-02-22 11:46:01	ga_ls7e_ard_3-1-0_115078_2019-02-22_final
2019-08-05 09:34:26	ga_ls7e_ard_3-1-0_095073_2019-08-05_final
2020-01-12 09:32:20	ga_ls7e_ard_3-1-0_095086_2020-01-12_final
2020-04-29 11:25:42	ga_ls7e_ard_3-1-0_115075_2020-04-29_final
2021-02-12 08:38:09	ga_ls7e_ard_3-2-0_090090_2021-02-11_final
2021-02-16 09:43:38	ga_ls7e_ard_3-2-0_102069_2021-02-16_final
2021-02-19 10:18:41	ga_ls7e_ard_3-2-0_107080_2021-02-19_final
2021-03-07 08:40:34	ga_ls7e_ard_3-2-0_091085_2021-03-06_final
2021-03-07 08:42:10	ga_ls7e_ard_3-2-0_091089_2021-03-06_final
2021-03-15 11:04:40	ga_ls7e_ard_3-2-0_115076_2021-03-15_final
2021-03-19 09:04:44	ga_ls7e_ard_3-2-0_095086_2021-03-18_final
2021-03-28 08:58:14	ga_ls7e_ard_3-2-0_094087_2021-03-27_final
2021-03-30 08:43:43	ga_ls7e_ard_3-2-0_092082_2021-03-29_final
2021-04-10 09:57:57	ga_ls7e_ard_3-2-0_105069_2021-04-10_final
2021-04-13 10:34:35	ga_ls7e_ard_3-2-0_110084_2021-04-13_final
2021-04-28 09:44:52	ga_ls7e_ard_3-2-0_103071_2021-04-28_final
2021-04-29 08:55:33	ga_ls7e_ard_3-2-0_094087_2021-04-28_final
2021-05-02 09:20:13	ga_ls7e_ard_3-2-0_099072_2021-05-01_final
2021-05-06 08:55:10	ga_ls7e_ard_3-2-0_095072_2021-05-05_final
2021-05-08 10:23:31	ga_ls7e_ard_3-2-0_109077_2021-05-08_final
2021-05-11 09:15:17	ga_ls7e_ard_3-2-0_098077_2021-05-10_final
2021-05-15 10:27:55	ga_ls7e_ard_3-2-0_110074_2021-05-15_final
2021-05-16 09:35:24	ga_ls7e_ard_3-2-0_101082_2021-05-16_final
2021-06-11 08:29:01	ga_ls7e_ard_3-2-0_091076_2021-06-10_final
2021-06-16 10:24:26	ga_ls7e_ard_3-2-0_110072_2021-06-16_final
2021-06-27 10:05:47	ga_ls7e_ard_3-2-0_107074_2021-06-27_final
2021-06-29 09:56:27	ga_ls7e_ard_3-2-0_105082_2021-06-29_final
2021-06-30 09:01:33	ga_ls7e_ard_3-2-0_096084_2021-06-29_final
2021-07-09 10:33:29	ga_ls7e_ard_3-2-0_111084_2021-07-09_final
2021-07-13 08:27:57	ga_ls7e_ard_3-2-0_091080_2021-07-12_final
2021-07-15 08:17:25	ga_ls7e_ard_3-2-0_089085_2021-07-14_final
2021-07-27 10:14:23	ga_ls7e_ard_3-2-0_109071_2021-07-27_final
2021-08-22 09:10:41	ga_ls7e_ard_3-2-0_099072_2021-08-21_final
2021-09-07 09:07:19	ga_ls7e_ard_3-2-0_099067_2021-09-06_final
2021-09-16 09:01:56	ga_ls7e_ard_3-2-0_098071_2021-09-15_final
2021-09-24 08:18:58	ga_ls7e_ard_3-2-0_090089_2021-09-23_final
2021-10-02 08:59:18	ga_ls7e_ard_3-2-0_098068_2021-10-01_final
2021-10-03 09:44:04	ga_ls7e_ard_3-2-0_105072_2021-10-03_final
2021-10-08 10:01:23	ga_ls7e_ard_3-2-0_108070_2021-10-08_final
2021-11-10 10:43:36	ga_ls7e_ard_3-2-0_115075_2021-11-10_final
2021-11-30 10:19:45	ga_ls7e_ard_3-2-1_111082_2021-11-30_final
2021-12-19 09:10:22	ga_ls7e_ard_3-2-1_100083_2021-12-18_final
2022-01-04 09:08:45	ga_ls7e_ard_3-2-1_100083_2022-01-03_final
2022-01-19 08:20:30	ga_ls7e_ard_3-2-1_093074_2022-01-18_final
2022-02-02 08:32:17	ga_ls7e_ard_3-2-1_095076_2022-02-01_final
2022-02-11 10:05:15	ga_ls7e_ard_3-2-1_110079_2022-02-11_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