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
2000-01-01 11:44:48	ga_ls7e_ard_3-0-0_115077_2000-01-01_final
2000-09-13 11:42:39	ga_ls7e_ard_3-1-0_115077_2000-09-13_final
2001-05-11 11:41:58	ga_ls7e_ard_3-1-0_115077_2001-05-11_final
2002-03-11 11:40:55	ga_ls7e_ard_3-1-0_115077_2002-03-11_final
2002-04-12 11:40:49	ga_ls7e_ard_3-1-0_115077_2002-04-12_final
2002-10-21 11:39:47	ga_ls7e_ard_3-1-0_115077_2002-10-21_final
2003-01-09 11:41:08	ga_ls7e_ard_3-0-0_115079_2003-01-09_final
2003-05-21 09:35:28	ga_ls7e_ard_3-1-0_095073_2003-05-21_final
2004-06-08 09:40:40	ga_ls7e_ard_3-0-0_095085_2004-06-08_final
2004-10-10 11:41:18	ga_ls7e_ard_3-0-0_115079_2004-10-10_final
2004-12-17 09:40:48	ga_ls7e_ard_3-0-0_095085_2004-12-17_final
2005-07-29 09:41:00	ga_ls7e_ard_3-0-0_095085_2005-07-29_final
2005-10-13 11:40:18	ga_ls7e_ard_3-0-0_115075_2005-10-13_final
2005-10-29 11:41:43	ga_ls7e_ard_3-0-0_115078_2005-10-29_final
2006-03-26 09:41:41	ga_ls7e_ard_3-0-0_095085_2006-03-26_final
2006-06-10 11:42:49	ga_ls7e_ard_3-0-0_115079_2006-06-10_final
2006-06-14 09:42:00	ga_ls7e_ard_3-0-0_095086_2006-06-14_final
2006-07-16 09:37:47	ga_ls7e_ard_3-0-0_095076_2006-07-16_final
2007-01-24 09:39:04	ga_ls7e_ard_3-0-0_095078_2007-01-24_final
2007-11-08 09:36:51	ga_ls7e_ard_3-1-0_095073_2007-11-08_final
2007-12-22 11:41:56	ga_ls7e_ard_3-0-0_115076_2007-12-22_final
2008-06-19 09:36:06	ga_ls7e_ard_3-0-0_095072_2008-06-19_final
2008-08-02 11:40:27	ga_ls7e_ard_3-0-0_115075_2008-08-02_final
2008-08-02 11:41:15	ga_ls7e_ard_3-1-0_115077_2008-08-02_final
2010-02-01 09:38:57	ga_ls7e_ard_3-0-0_095074_2010-02-01_final
2010-12-02 09:41:43	ga_ls7e_ard_3-0-0_095078_2010-12-02_final
2011-01-03 09:45:11	ga_ls7e_ard_3-0-0_095086_2011-01-03_final
2011-01-31 11:44:59	ga_ls7e_ard_3-0-0_115076_2011-01-31_final
2012-04-10 09:00:47	ga_ls7e_ard_3-0-0_088081_2012-04-09_final
2012-09-14 11:47:50	ga_ls7e_ard_3-0-0_115078_2012-09-14_final
2013-03-28 09:02:46	ga_ls7e_ard_3-0-0_088081_2013-03-27_final
2013-11-23 09:03:21	ga_ls7e_ard_3-0-0_088082_2013-11-22_final
2015-01-26 11:50:13	ga_ls7e_ard_3-0-0_115076_2015-01-26_final
2015-03-03 09:51:16	ga_ls7e_ard_3-0-0_095087_2015-03-03_final
2015-03-31 11:49:52	ga_ls7e_ard_3-0-0_115074_2015-03-31_final
2015-07-09 09:50:06	ga_ls7e_ard_3-0-0_095082_2015-07-09_final
2015-09-07 11:51:53	ga_ls7e_ard_3-1-0_115077_2015-09-07_final
2015-09-23 11:52:22	ga_ls7e_ard_3-0-0_115078_2015-09-23_final
2015-12-28 11:53:44	ga_ls7e_ard_3-0-0_115078_2015-12-28_final
2016-01-29 11:53:47	ga_ls7e_ard_3-1-0_115077_2016-01-29_final
2016-12-18 09:49:13	ga_ls7e_ard_3-1-0_095073_2016-12-18_final
2017-11-03 09:55:01	ga_ls7e_ard_3-0-0_095087_2017-11-03_final
2018-07-13 11:51:34	ga_ls7e_ard_3-0-0_115078_2018-07-13_final
2018-11-06 09:47:31	ga_ls7e_ard_3-0-0_095083_2018-11-06_final
2019-02-10 09:44:23	ga_ls7e_ard_3-0-0_095082_2019-02-10_final
2019-03-30 09:38:51	ga_ls7e_ard_3-0-0_095072_2019-03-30_final
2019-05-01 09:39:41	ga_ls7e_ard_3-0-0_095077_2019-05-01_final
2019-11-21 11:33:46	ga_ls7e_ard_3-1-0_115074_2019-11-21_final
2019-12-27 09:32:21	ga_ls7e_ard_3-1-0_095084_2019-12-27_final
2020-06-04 09:24:18	ga_ls7e_ard_3-1-0_095086_2020-06-03_final
2020-06-20 09:23:23	ga_ls7e_ard_3-1-0_095086_2020-06-19_final
2020-11-07 11:14:03	ga_ls7e_ard_3-1-0_115076_2020-11-07_final
2021-01-30 09:07:37	ga_ls7e_ard_3-2-0_095084_2021-01-29_final
2021-01-30 10:45:18	ga_ls7e_ard_3-2-0_111081_2021-01-30_final
2021-02-08 10:36:52	ga_ls7e_ard_3-2-0_110077_2021-02-08_final
2021-03-01 10:55:24	ga_ls7e_ard_3-2-0_113081_2021-03-01_final
2021-03-09 08:26:28	ga_ls7e_ard_3-2-0_089081_2021-03-08_final
2021-03-15 09:26:35	ga_ls7e_ard_3-2-0_099078_2021-03-14_final
2021-03-15 09:28:35	ga_ls7e_ard_3-2-0_099083_2021-03-14_final
2021-03-31 11:04:10	ga_ls7e_ard_3-2-0_115078_2021-03-31_final
2021-04-01 08:29:59	ga_ls7e_ard_3-2-0_090079_2021-03-31_final
2021-04-06 10:23:24	ga_ls7e_ard_3-2-0_109070_2021-04-06_final
2021-04-18 10:48:43	ga_ls7e_ard_3-2-0_113074_2021-04-18_final
2021-05-08 08:48:38	ga_ls7e_ard_3-2-0_093087_2021-05-07_final
2021-05-18 09:22:04	ga_ls7e_ard_3-2-0_099080_2021-05-17_final
2021-05-23 09:35:24	ga_ls7e_ard_3-2-0_102068_2021-05-23_final
2021-06-05 09:10:10	ga_ls7e_ard_3-2-0_097085_2021-06-04_final
2021-06-09 10:22:25	ga_ls7e_ard_3-2-0_109081_2021-06-09_final
2021-06-27 08:29:42	ga_ls7e_ard_3-2-0_091081_2021-06-26_final
2021-06-30 08:59:57	ga_ls7e_ard_3-2-0_096080_2021-06-29_final
2021-07-12 09:25:15	ga_ls7e_ard_3-2-0_100084_2021-07-11_final
2021-07-20 10:09:13	ga_ls7e_ard_3-2-0_108072_2021-07-20_final
2021-08-07 08:18:47	ga_ls7e_ard_3-2-0_090078_2021-08-06_final
2021-08-07 09:53:41	ga_ls7e_ard_3-2-0_106068_2021-08-07_final
2021-09-06 10:06:37	ga_ls7e_ard_3-2-0_108076_2021-09-06_final
2021-09-22 10:02:24	ga_ls7e_ard_3-2-0_108069_2021-09-22_final
2021-10-01 09:58:12	ga_ls7e_ard_3-2-0_107076_2021-10-01_final
2021-10-09 10:48:08	ga_ls7e_ard_3-2-0_115079_2021-10-09_final
2021-10-10 09:48:03	ga_ls7e_ard_3-2-0_106068_2021-10-10_final
2021-10-11 08:54:44	ga_ls7e_ard_3-2-0_097074_2021-10-10_final
2021-10-14 09:28:33	ga_ls7e_ard_3-2-0_102082_2021-10-13_final
2021-11-05 10:27:56	ga_ls7e_ard_3-2-0_112081_2021-11-05_final
2021-11-10 09:07:55	ga_ls7e_ard_3-2-0_099083_2021-11-09_final
2021-11-30 08:42:52	ga_ls7e_ard_3-2-1_095087_2021-11-29_final
2021-12-04 09:51:28	ga_ls7e_ard_3-2-1_107074_2021-12-04_final
2021-12-11 09:56:11	ga_ls7e_ard_3-2-1_108072_2021-12-11_final
2021-12-11 09:56:35	ga_ls7e_ard_3-2-1_108073_2021-12-11_final
2021-12-11 09:57:23	ga_ls7e_ard_3-2-1_108075_2021-12-11_final
2021-12-12 08:59:16	ga_ls7e_ard_3-2-1_099069_2021-12-11_final
2022-01-14 08:06:49	ga_ls7e_ard_3-2-1_090085_2022-01-13_final
2022-01-19 08:20:30	ga_ls7e_ard_3-2-1_093074_2022-01-18_final
2022-01-19 08:22:05	ga_ls7e_ard_3-2-1_093078_2022-01-18_final
2022-01-20 09:03:15	ga_ls7e_ard_3-2-1_100073_2022-01-19_final
2022-02-05 09:02:52	ga_ls7e_ard_3-2-1_100076_2022-02-04_final
2022-02-05 09:03:40	ga_ls7e_ard_3-2-1_100078_2022-02-04_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-02-13 09:51:29	ga_ls7e_ard_3-2-1_108076_2022-02-13_final
2022-02-17 09:23:34	ga_ls7e_ard_3-2-1_104069_2022-02-16_final
2022-03-10 08:06:47	ga_ls7e_ard_3-2-1_091083_2022-03-09_final
2022-03-17 09:48:20	ga_ls7e_ard_3-2-1_108076_2022-03-17_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