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
1999-08-19 11:39:27	ga_ls7e_ard_3-0-0_114079_1999-08-19_final
1999-09-13 11:32:30	ga_ls7e_ard_3-1-0_113077_1999-09-13_final
1999-09-29 11:34:15	ga_ls7e_ard_3-0-0_113081_1999-09-29_final
1999-10-06 11:39:40	ga_ls7e_ard_3-0-0_114079_1999-10-06_final
1999-10-31 11:35:19	ga_ls7e_ard_3-0-0_113084_1999-10-31_final
2000-03-07 11:34:37	ga_ls7e_ard_3-0-0_113083_2000-03-07_final
2000-03-30 11:39:33	ga_ls7e_ard_3-1-0_114080_2000-03-30_final
2000-08-21 11:32:51	ga_ls7e_ard_3-0-0_114067_2000-08-21_final
2000-08-21 11:37:15	ga_ls7e_ard_3-0-0_114078_2000-08-21_final
2000-09-13 11:41:27	ga_ls7e_ard_3-0-0_115074_2000-09-13_final
2000-10-01 11:31:17	ga_ls7e_ard_3-0-0_113080_2000-10-01_final
2000-10-24 11:35:41	ga_ls7e_ard_3-0-0_114076_2000-10-24_final
2000-11-25 11:37:21	ga_ls7e_ard_3-0-0_114080_2000-11-25_final
2001-03-17 11:35:41	ga_ls7e_ard_3-0-0_114076_2001-03-17_final
2001-04-27 11:32:31	ga_ls7e_ard_3-0-0_113084_2001-04-27_final
2001-06-05 11:36:41	ga_ls7e_ard_3-0-0_114080_2001-06-05_final
2001-10-04 11:30:42	ga_ls7e_ard_3-0-0_113084_2001-10-04_final
2001-11-05 11:28:02	ga_ls7e_ard_3-0-0_113077_2001-11-05_final
2001-11-21 11:28:58	ga_ls7e_ard_3-0-0_113079_2001-11-21_final
2002-11-06 11:38:41	ga_ls7e_ard_3-0-0_115074_2002-11-06_final
2003-01-02 11:34:10	ga_ls7e_ard_3-0-0_114077_2003-01-02_final
2003-01-18 11:33:53	ga_ls7e_ard_3-0-0_114076_2003-01-18_final
2003-05-19 11:28:19	ga_ls7e_ard_3-0-0_113077_2003-05-19_final
2003-05-19 11:29:55	ga_ls7e_ard_3-0-0_113081_2003-05-19_final
2003-11-11 11:28:57	ga_ls7e_ard_3-0-0_113079_2003-11-11_final
2005-05-24 11:30:02	ga_ls7e_ard_3-0-0_113079_2005-05-24_final
2005-06-25 11:29:51	ga_ls7e_ard_3-0-0_113079_2005-06-25_final
2005-08-12 11:29:23	ga_ls7e_ard_3-0-0_113078_2005-08-12_final
2006-05-25 11:42:52	ga_ls7e_ard_3-0-0_115079_2006-05-25_final
2007-07-17 11:29:26	ga_ls7e_ard_3-0-0_113076_2007-07-17_final
2008-09-21 11:28:06	ga_ls7e_ard_3-0-0_113076_2008-09-21_final
2008-10-07 11:28:19	ga_ls7e_ard_3-0-0_113077_2008-10-07_final
2009-03-23 11:35:38	ga_ls7e_ard_3-0-0_114076_2009-03-23_final
2010-04-20 11:31:27	ga_ls7e_ard_3-0-0_113076_2010-04-20_final
2010-06-07 11:32:11	ga_ls7e_ard_3-0-0_113078_2010-06-07_final
2010-06-23 11:31:25	ga_ls7e_ard_3-0-0_113076_2010-06-23_final
2012-02-05 11:33:44	ga_ls7e_ard_3-0-0_113077_2012-02-05_final
2013-07-01 11:34:46	ga_ls7e_ard_3-0-0_113076_2013-07-01_final
2013-07-01 11:35:10	ga_ls7e_ard_3-0-0_113077_2013-07-01_final
2013-11-06 11:37:22	ga_ls7e_ard_3-0-0_113081_2013-11-06_final
2014-06-02 11:38:14	ga_ls7e_ard_3-0-0_113080_2014-06-02_final
2014-11-09 11:39:29	ga_ls7e_ard_3-0-0_113081_2014-11-09_final
2014-11-09 11:39:53	ga_ls7e_ard_3-0-0_113082_2014-11-09_final
2015-05-02 11:52:07	ga_ls7e_ard_3-0-0_115079_2015-05-02_final
2016-12-23 11:49:00	ga_ls7e_ard_3-0-0_114079_2016-12-23_final
2017-10-07 11:48:02	ga_ls7e_ard_3-0-0_114076_2017-10-07_final
2017-11-17 11:42:14	ga_ls7e_ard_3-0-0_113077_2017-11-17_final
2018-10-03 11:37:32	ga_ls7e_ard_3-0-0_113078_2018-10-03_final
2019-08-19 11:29:29	ga_ls7e_ard_3-0-0_113084_2019-08-19_final
2020-12-01 10:25:19	ga_ls7e_ard_3-1-0_107082_2020-12-01_final
2020-12-13 09:08:40	ga_ls7e_ard_3-1-0_095078_2020-12-12_final
2020-12-14 09:51:51	ga_ls7e_ard_3-1-0_102078_2020-12-14_final
2021-01-14 09:08:22	ga_ls7e_ard_3-1-0_095083_2021-01-13_final
2021-01-15 09:49:34	ga_ls7e_ard_3-1-0_102078_2021-01-15_final
2021-03-10 09:08:03	ga_ls7e_ard_3-2-0_096077_2021-03-09_final
2021-03-18 09:56:03	ga_ls7e_ard_3-2-0_104075_2021-03-18_final
2021-03-21 08:48:38	ga_ls7e_ard_3-2-0_093077_2021-03-20_final
2021-03-24 10:57:46	ga_ls7e_ard_3-2-0_114076_2021-03-24_final
2021-04-05 09:41:02	ga_ls7e_ard_3-2-0_102072_2021-04-05_final
2021-04-11 09:06:15	ga_ls7e_ard_3-2-0_096079_2021-04-10_final
2021-04-27 09:04:29	ga_ls7e_ard_3-2-0_096078_2021-04-26_final
2021-04-27 10:43:22	ga_ls7e_ard_3-2-0_112078_2021-04-27_final
2021-04-27 10:44:10	ga_ls7e_ard_3-2-0_112080_2021-04-27_final
2021-05-09 09:26:13	ga_ls7e_ard_3-2-0_100073_2021-05-08_final
2021-05-29 09:02:11	ga_ls7e_ard_3-2-0_096079_2021-05-28_final
2021-05-31 08:49:15	ga_ls7e_ard_3-2-0_094078_2021-05-30_final
2021-06-07 10:33:20	ga_ls7e_ard_3-2-0_111077_2021-06-07_final
2021-06-28 10:49:45	ga_ls7e_ard_3-2-0_114076_2021-06-28_final
2021-06-29 09:56:03	ga_ls7e_ard_3-2-0_105081_2021-06-29_final
2021-07-07 10:44:25	ga_ls7e_ard_3-2-0_113080_2021-07-07_final
2021-07-25 08:50:02	ga_ls7e_ard_3-2-0_095076_2021-07-24_final
2021-07-27 08:39:30	ga_ls7e_ard_3-2-0_093081_2021-07-26_final
2021-08-10 08:49:25	ga_ls7e_ard_3-2-0_095078_2021-08-09_final
2021-08-10 08:53:01	ga_ls7e_ard_3-2-0_095087_2021-08-09_final
2021-08-12 10:16:10	ga_ls7e_ard_3-2-0_109079_2021-08-12_final
2021-08-15 09:05:31	ga_ls7e_ard_3-2-0_098073_2021-08-14_final
2021-09-03 09:35:10	ga_ls7e_ard_3-2-0_103074_2021-09-03_final
2021-09-19 09:35:21	ga_ls7e_ard_3-2-0_103078_2021-09-19_final
2021-10-03 09:44:28	ga_ls7e_ard_3-2-0_105073_2021-10-03_final
2021-10-03 09:46:04	ga_ls7e_ard_3-2-0_105077_2021-10-03_final
2021-10-14 09:26:58	ga_ls7e_ard_3-2-0_102078_2021-10-13_final
2021-10-26 09:50:12	ga_ls7e_ard_3-2-0_106077_2021-10-26_final
2021-10-30 09:25:06	ga_ls7e_ard_3-2-0_102077_2021-10-29_final
2021-11-14 08:40:49	ga_ls7e_ard_3-2-1_095078_2021-11-13_final
2021-11-30 10:18:57	ga_ls7e_ard_3-2-1_111080_2021-11-30_final
2021-12-05 08:58:57	ga_ls7e_ard_3-2-1_098082_2021-12-04_final
2021-12-16 10:17:26	ga_ls7e_ard_3-2-1_111080_2021-12-16_final
2021-12-27 09:56:37	ga_ls7e_ard_3-2-1_108077_2021-12-27_final
2022-01-05 09:51:07	ga_ls7e_ard_3-2-1_107081_2022-01-05_final
2022-01-11 09:11:29	ga_ls7e_ard_3-2-1_101076_2022-01-10_final
2022-01-15 08:46:47	ga_ls7e_ard_3-2-1_097077_2022-01-14_final
2022-01-17 08:33:51	ga_ls7e_ard_3-2-1_095076_2022-01-16_final
2022-01-19 10:01:46	ga_ls7e_ard_3-2-1_109080_2022-01-19_final
2022-02-04 10:00:11	ga_ls7e_ard_3-2-1_109080_2022-02-04_final
2022-02-04 10:00:35	ga_ls7e_ard_3-2-1_109081_2022-02-04_final
2022-02-17 09:24:21	ga_ls7e_ard_3-2-1_104071_2022-02-16_final
2022-02-23 08:47:31	ga_ls7e_ard_3-2-1_098073_2022-02-22_final
2022-03-12 09:31:54	ga_ls7e_ard_3-2-1_105080_2022-03-12_final
2022-03-15 08:22:49	ga_ls7e_ard_3-2-1_094078_2022-03-14_final
2022-03-21 09:22:50	ga_ls7e_ard_3-2-1_104075_2022-03-20_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