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
2001-03-12 09:37:07	ga_ls7e_ard_3-1-0_095073_2001-03-12_final
2002-11-06 11:40:17	ga_ls7e_ard_3-0-0_115078_2002-11-06_final
2003-02-14 09:39:04	ga_ls7e_ard_3-0-0_095082_2003-02-14_final
2003-09-26 09:34:59	ga_ls7e_ard_3-1-0_095073_2003-09-26_final
2004-02-01 09:37:05	ga_ls7e_ard_3-0-0_095076_2004-02-01_final
2004-06-04 11:40:19	ga_ls7e_ard_3-0-0_115075_2004-06-04_final
2004-06-08 09:40:40	ga_ls7e_ard_3-0-0_095085_2004-06-08_final
2004-08-10 08:55:56	ga_ls7e_ard_3-0-0_088082_2004-08-09_final
2004-09-12 09:35:27	ga_ls7e_ard_3-1-0_095073_2004-09-12_final
2005-01-02 09:41:21	ga_ls7e_ard_3-0-0_095086_2005-01-02_final
2005-03-03 11:42:05	ga_ls7e_ard_3-0-0_115078_2005-03-03_final
2005-03-23 09:41:17	ga_ls7e_ard_3-0-0_095085_2005-03-23_final
2005-06-11 09:39:28	ga_ls7e_ard_3-0-0_095081_2005-06-11_final
2006-01-17 11:42:18	ga_ls7e_ard_3-0-0_115078_2006-01-17_final
2006-04-23 11:41:13	ga_ls7e_ard_3-0-0_115075_2006-04-23_final
2007-09-01 11:42:19	ga_ls7e_ard_3-0-0_115078_2007-09-01_final
2007-09-21 09:42:11	ga_ls7e_ard_3-0-0_095087_2007-09-21_final
2007-10-07 09:42:04	ga_ls7e_ard_3-0-0_095087_2007-10-07_final
2008-05-18 09:39:58	ga_ls7e_ard_3-0-0_095081_2008-05-18_final
2008-06-19 09:36:30	ga_ls7e_ard_3-1-0_095073_2008-06-19_final
2009-01-12 08:56:49	ga_ls7e_ard_3-0-0_088082_2009-01-11_final
2009-07-20 11:42:18	ga_ls7e_ard_3-1-0_115077_2009-07-20_final
2010-04-06 09:39:49	ga_ls7e_ard_3-0-0_095075_2010-04-06_final
2010-10-15 09:39:11	ga_ls7e_ard_3-1-0_095073_2010-10-15_final
2011-08-15 09:40:12	ga_ls7e_ard_3-1-0_095073_2011-08-15_final
2012-03-09 09:01:12	ga_ls7e_ard_3-0-0_088082_2012-03-08_final
2012-06-30 09:46:33	ga_ls7e_ard_3-0-0_095086_2012-06-30_final
2013-06-29 11:47:57	ga_ls7e_ard_3-0-0_115078_2013-06-29_final
2014-11-27 09:45:07	ga_ls7e_ard_3-1-0_095073_2014-11-27_final
2015-01-14 09:44:58	ga_ls7e_ard_3-0-0_095072_2015-01-14_final
2015-01-14 09:45:22	ga_ls7e_ard_3-1-0_095073_2015-01-14_final
2015-01-26 11:51:25	ga_ls7e_ard_3-0-0_115079_2015-01-26_final
2015-08-22 11:50:39	ga_ls7e_ard_3-0-0_115074_2015-08-22_final
2015-09-23 11:52:22	ga_ls7e_ard_3-0-0_115078_2015-09-23_final
2015-11-30 09:47:18	ga_ls7e_ard_3-0-0_095072_2015-11-30_final
2016-01-17 09:48:03	ga_ls7e_ard_3-0-0_095072_2016-01-17_final
2016-10-31 09:55:04	ga_ls7e_ard_3-0-0_095087_2016-10-31_final
2017-01-31 11:54:24	ga_ls7e_ard_3-0-0_115078_2017-01-31_final
2017-07-14 09:54:39	ga_ls7e_ard_3-0-0_095086_2017-07-14_final
2017-07-30 09:49:03	ga_ls7e_ard_3-0-0_095072_2017-07-30_final
2017-08-27 11:54:13	ga_ls7e_ard_3-0-0_115076_2017-08-27_final
2017-10-14 11:53:26	ga_ls7e_ard_3-0-0_115074_2017-10-14_final
2017-11-03 09:49:50	ga_ls7e_ard_3-0-0_095074_2017-11-03_final
2017-11-15 11:54:12	ga_ls7e_ard_3-0-0_115076_2017-11-15_final
2018-01-06 09:54:29	ga_ls7e_ard_3-0-0_095087_2018-01-06_final
2018-03-07 11:52:31	ga_ls7e_ard_3-0-0_115075_2018-03-07_final
2018-05-26 11:51:39	ga_ls7e_ard_3-0-0_115076_2018-05-26_final
2018-09-19 09:48:38	ga_ls7e_ard_3-0-0_095083_2018-09-19_final
2019-03-14 09:39:47	ga_ls7e_ard_3-1-0_095073_2019-03-14_final
2019-09-06 09:32:41	ga_ls7e_ard_3-1-0_095072_2019-09-06_final
2019-11-21 11:34:09	ga_ls7e_ard_3-1-0_115075_2019-11-21_final
2019-12-11 09:28:47	ga_ls7e_ard_3-1-0_095073_2019-12-10_final
2021-02-19 10:18:41	ga_ls7e_ard_3-2-0_107080_2021-02-19_final
2021-02-24 10:33:39	ga_ls7e_ard_3-2-0_110072_2021-02-24_final
2021-03-08 09:16:34	ga_ls7e_ard_3-2-0_098067_2021-03-07_final
2021-03-23 08:41:18	ga_ls7e_ard_3-2-0_091090_2021-03-22_final
2021-04-01 08:29:12	ga_ls7e_ard_3-2-0_090077_2021-03-31_final
2021-04-01 08:33:35	ga_ls7e_ard_3-2-0_090088_2021-03-31_final
2021-04-15 08:44:47	ga_ls7e_ard_3-2-0_092088_2021-04-14_final
2021-04-24 08:37:02	ga_ls7e_ard_3-2-0_091086_2021-04-23_final
2021-04-25 09:19:01	ga_ls7e_ard_3-2-0_098083_2021-04-24_final
2021-05-02 09:24:36	ga_ls7e_ard_3-2-0_099083_2021-05-01_final
2021-05-07 09:37:09	ga_ls7e_ard_3-2-0_102069_2021-05-07_final
2021-05-24 08:46:52	ga_ls7e_ard_3-2-0_093086_2021-05-23_final
2021-06-09 10:22:49	ga_ls7e_ard_3-2-0_109082_2021-06-09_final
2021-06-20 08:25:42	ga_ls7e_ard_3-2-0_090085_2021-06-19_final
2021-07-04 08:32:54	ga_ls7e_ard_3-2-0_092075_2021-07-03_final
2021-07-13 08:30:21	ga_ls7e_ard_3-2-0_091086_2021-07-12_final
2021-07-14 09:06:44	ga_ls7e_ard_3-2-0_098069_2021-07-13_final
2021-07-18 08:48:03	ga_ls7e_ard_3-2-0_094085_2021-07-17_final
2021-07-20 08:34:19	ga_ls7e_ard_3-2-0_092082_2021-07-19_final
2021-07-23 08:59:47	ga_ls7e_ard_3-2-0_097069_2021-07-22_final
2021-07-27 10:16:47	ga_ls7e_ard_3-2-0_109077_2021-07-27_final
2021-07-29 10:05:50	ga_ls7e_ard_3-2-0_107081_2021-07-29_final
2021-09-15 08:25:57	ga_ls7e_ard_3-2-0_091089_2021-09-14_final
2021-09-18 10:29:28	ga_ls7e_ard_3-2-0_112074_2021-09-18_final
2021-09-20 10:15:20	ga_ls7e_ard_3-2-0_110070_2021-09-20_final
2021-10-02 09:00:30	ga_ls7e_ard_3-2-0_098071_2021-10-01_final
2021-10-09 09:06:04	ga_ls7e_ard_3-2-0_099071_2021-10-08_final
2021-10-18 08:59:05	ga_ls7e_ard_3-2-0_098071_2021-10-17_final
2021-11-11 09:46:17	ga_ls7e_ard_3-2-0_106071_2021-11-11_final
2021-11-12 10:34:14	ga_ls7e_ard_3-2-1_113083_2021-11-12_final
2021-11-26 09:00:22	ga_ls7e_ard_3-2-1_099068_2021-11-25_final
2021-12-03 09:07:54	ga_ls7e_ard_3-2-1_100073_2021-12-02_final
2021-12-04 08:18:58	ga_ls7e_ard_3-2-1_091090_2021-12-03_final
2021-12-22 09:35:23	ga_ls7e_ard_3-2-1_105069_2021-12-22_final
2021-12-30 10:29:36	ga_ls7e_ard_3-2-1_113083_2021-12-30_final
2022-01-11 09:10:17	ga_ls7e_ard_3-2-1_101073_2022-01-10_final
2022-01-15 08:44:00	ga_ls7e_ard_3-2-1_097070_2022-01-14_final
2022-01-17 10:11:07	ga_ls7e_ard_3-2-1_111072_2022-01-17_final
2022-01-19 09:58:58	ga_ls7e_ard_3-2-1_109073_2022-01-19_final
2022-01-23 07:57:47	ga_ls7e_ard_3-2-1_089080_2022-01-22_final
2022-02-15 08:05:13	ga_ls7e_ard_3-2-1_090089_2022-02-14_final
2022-02-22 09:44:25	ga_ls7e_ard_3-2-1_107076_2022-02-22_final
2022-03-04 08:42:28	ga_ls7e_ard_3-2-1_097078_2022-03-03_final
2022-03-08 08:19:44	ga_ls7e_ard_3-2-1_093084_2022-03-07_final
2022-03-09 08:59:42	ga_ls7e_ard_3-2-1_100076_2022-03-08_final
2022-03-10 08:08:23	ga_ls7e_ard_3-2-1_091087_2022-03-09_final
2022-03-21 09:22:02	ga_ls7e_ard_3-2-1_104073_2022-03-20_final
2022-03-28 09:25:34	ga_ls7e_ard_3-2-1_105068_2022-03-27_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