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
2000-03-07 11:35:00	ga_ls7e_ard_3-0-0_113084_2000-03-07_final
2000-09-13 11:43:03	ga_ls7e_ard_3-0-0_115078_2000-09-13_final
2000-11-09 11:36:56	ga_ls7e_ard_3-0-0_114079_2000-11-09_final
2000-11-16 11:41:57	ga_ls7e_ard_3-0-0_115076_2000-11-16_final
2002-05-07 11:35:52	ga_ls7e_ard_3-0-0_114080_2002-05-07_final
2002-05-30 11:40:13	ga_ls7e_ard_3-0-0_115076_2002-05-30_final
2003-12-20 11:35:03	ga_ls7e_ard_3-0-0_114078_2003-12-20_final
2004-12-06 11:36:10	ga_ls7e_ard_3-0-0_114080_2004-12-06_final
2004-12-22 11:34:18	ga_ls7e_ard_3-0-0_114075_2004-12-22_final
2005-06-07 11:41:07	ga_ls7e_ard_3-0-0_115076_2005-06-07_final
2005-11-07 11:36:02	ga_ls7e_ard_3-0-0_114079_2005-11-07_final
2006-01-17 11:41:54	ga_ls7e_ard_3-1-0_115077_2006-01-17_final
2006-01-26 11:36:11	ga_ls7e_ard_3-0-0_114078_2006-01-26_final
2006-12-12 11:36:47	ga_ls7e_ard_3-1-0_114079_2006-12-12_final
2007-06-06 11:36:05	ga_ls7e_ard_3-0-0_114077_2007-06-06_final
2007-07-17 11:32:14	ga_ls7e_ard_3-0-0_113083_2007-07-17_final
2007-08-16 11:41:14	ga_ls7e_ard_3-0-0_115075_2007-08-16_final
2007-08-25 11:35:00	ga_ls7e_ard_3-0-0_114075_2007-08-25_final
2008-08-02 11:41:15	ga_ls7e_ard_3-1-0_115077_2008-08-02_final
2009-03-30 11:42:40	ga_ls7e_ard_3-0-0_115078_2009-03-30_final
2010-04-11 11:38:26	ga_ls7e_ard_3-0-0_114078_2010-04-11_final
2010-04-18 11:43:25	ga_ls7e_ard_3-0-0_115075_2010-04-18_final
2010-09-02 11:38:30	ga_ls7e_ard_3-0-0_114078_2010-09-02_final
2010-11-14 11:35:09	ga_ls7e_ard_3-0-0_113084_2010-11-14_final
2011-04-21 11:44:24	ga_ls7e_ard_3-0-0_115074_2011-04-21_final
2011-05-09 11:36:02	ga_ls7e_ard_3-0-0_113084_2011-05-09_final
2011-12-26 11:39:47	ga_ls7e_ard_3-0-0_114077_2011-12-26_final
2012-01-27 11:39:50	ga_ls7e_ard_3-0-0_114077_2012-01-27_final
2012-04-23 11:45:50	ga_ls7e_ard_3-0-0_115076_2012-04-23_final
2012-05-02 11:36:19	ga_ls7e_ard_3-0-0_114067_2012-05-02_final
2012-05-27 11:36:59	ga_ls7e_ard_3-0-0_113084_2012-05-27_final
2013-12-22 11:47:10	ga_ls7e_ard_3-0-0_115074_2013-12-22_final
2014-04-13 11:47:51	ga_ls7e_ard_3-0-0_115074_2014-04-13_final
2014-07-27 11:42:14	ga_ls7e_ard_3-0-0_114074_2014-07-27_final
2015-11-26 11:51:40	ga_ls7e_ard_3-0-0_115074_2015-11-26_final
2016-02-07 11:47:40	ga_ls7e_ard_3-0-0_114077_2016-02-07_final
2016-11-21 11:48:45	ga_ls7e_ard_3-0-0_114078_2016-11-21_final
2017-10-14 11:53:50	ga_ls7e_ard_3-0-0_115075_2017-10-14_final
2018-01-11 11:47:51	ga_ls7e_ard_3-0-0_114077_2018-01-11_final
2018-01-11 11:49:03	ga_ls7e_ard_3-0-0_114080_2018-01-11_final
2018-01-18 11:53:08	ga_ls7e_ard_3-0-0_115075_2018-01-18_final
2019-02-15 11:38:51	ga_ls7e_ard_3-0-0_114075_2019-02-15_final
2019-04-13 11:34:23	ga_ls7e_ard_3-0-0_113084_2019-04-13_final
2019-05-13 11:43:14	ga_ls7e_ard_3-0-0_115078_2019-05-13_final
2019-10-13 11:29:43	ga_ls7e_ard_3-1-0_114075_2019-10-13_final
2020-01-01 11:28:19	ga_ls7e_ard_3-1-0_114081_2020-01-01_final
2020-04-06 11:23:15	ga_ls7e_ard_3-1-0_114081_2020-04-06_final
2020-04-22 11:21:08	ga_ls7e_ard_3-1-0_114078_2020-04-22_final
2020-10-22 11:15:56	ga_ls7e_ard_3-1-0_115078_2020-10-22_final
2020-12-03 10:07:37	ga_ls7e_ard_3-1-0_105069_2020-12-03_final
2020-12-09 11:10:58	ga_ls7e_ard_3-1-0_115074_2020-12-09_final
2020-12-18 09:28:49	ga_ls7e_ard_3-1-0_098083_2020-12-17_final
2020-12-20 10:55:35	ga_ls7e_ard_3-1-0_112084_2020-12-20_final
2021-01-14 10:46:03	ga_ls7e_ard_3-1-0_111080_2021-01-14_final
2021-01-25 10:26:20	ga_ls7e_ard_3-2-0_108079_2021-01-25_final
2021-02-03 08:44:36	ga_ls7e_ard_3-2-0_091089_2021-02-02_final
2021-02-09 09:42:46	ga_ls7e_ard_3-2-0_101081_2021-02-09_final
2021-02-10 08:49:04	ga_ls7e_ard_3-2-0_092086_2021-02-09_final
2021-02-13 10:53:50	ga_ls7e_ard_3-2-0_113074_2021-02-13_final
2021-02-19 10:15:30	ga_ls7e_ard_3-2-0_107072_2021-02-19_final
2021-02-24 10:38:03	ga_ls7e_ard_3-2-0_110083_2021-02-24_final
2021-03-10 09:09:38	ga_ls7e_ard_3-2-0_096081_2021-03-09_final
2021-03-12 10:32:48	ga_ls7e_ard_3-2-0_110073_2021-03-12_final
2021-04-08 08:34:24	ga_ls7e_ard_3-2-0_091076_2021-04-07_final
2021-04-11 09:03:51	ga_ls7e_ard_3-2-0_096073_2021-04-10_final
2021-04-14 09:33:42	ga_ls7e_ard_3-2-0_101071_2021-04-14_final
2021-05-06 08:55:58	ga_ls7e_ard_3-2-0_095074_2021-05-05_final
2021-05-08 10:21:31	ga_ls7e_ard_3-2-0_109072_2021-05-08_final
2021-05-19 08:27:58	ga_ls7e_ard_3-2-0_090084_2021-05-18_final
2021-06-11 08:29:01	ga_ls7e_ard_3-2-0_091076_2021-06-10_final
2021-06-14 09:03:40	ga_ls7e_ard_3-2-0_096086_2021-06-13_final
2021-06-16 10:22:26	ga_ls7e_ard_3-2-0_110067_2021-06-16_final
2021-07-07 09:05:08	ga_ls7e_ard_3-2-0_097079_2021-07-06_final
2021-08-01 08:59:36	ga_ls7e_ard_3-2-0_096086_2021-07-31_final
2021-08-24 10:35:03	ga_ls7e_ard_3-2-0_113067_2021-08-24_final
2021-08-26 08:50:01	ga_ls7e_ard_3-2-0_095083_2021-08-25_final
2021-08-28 10:11:11	ga_ls7e_ard_3-2-0_109070_2021-08-28_final
2021-08-29 09:16:16	ga_ls7e_ard_3-2-0_100072_2021-08-28_final
2021-09-05 09:25:50	ga_ls7e_ard_3-2-0_101082_2021-09-04_final
2021-09-12 09:26:37	ga_ls7e_ard_3-2-0_102070_2021-09-11_final
2021-10-04 10:32:02	ga_ls7e_ard_3-2-0_112084_2021-10-04_final
2021-10-09 10:46:33	ga_ls7e_ard_3-2-0_115075_2021-10-09_final
2021-10-30 09:27:06	ga_ls7e_ard_3-2-0_102082_2021-10-29_final
2021-11-07 08:30:55	ga_ls7e_ard_3-2-0_094067_2021-11-06_final
2021-11-08 09:15:41	ga_ls7e_ard_3-2-0_101071_2021-11-07_final
2021-11-09 09:58:50	ga_ls7e_ard_3-2-0_108071_2021-11-09_final
2021-11-21 08:48:42	ga_ls7e_ard_3-2-1_096084_2021-11-20_final
2021-12-11 08:22:54	ga_ls7e_ard_3-2-1_092086_2021-12-10_final
2021-12-13 09:44:26	ga_ls7e_ard_3-2-1_106074_2021-12-13_final
2021-12-21 08:53:25	ga_ls7e_ard_3-2-1_098072_2021-12-20_final
2021-12-22 08:02:06	ga_ls7e_ard_3-2-1_089083_2021-12-21_final
2021-12-23 10:20:56	ga_ls7e_ard_3-2-1_112075_2021-12-23_final
2021-12-29 08:10:22	ga_ls7e_ard_3-2-1_090090_2021-12-28_final
2022-01-06 10:34:17	ga_ls7e_ard_3-2-1_114081_2022-01-06_final
2022-01-31 08:44:02	ga_ls7e_ard_3-2-1_097074_2022-01-30_final
2022-02-06 08:08:45	ga_ls7e_ard_3-2-1_091080_2022-02-05_final
2022-02-20 08:22:05	ga_ls7e_ard_3-2-1_093086_2022-02-19_final
2022-03-02 10:32:42	ga_ls7e_ard_3-2-1_115075_2022-03-02_final
2022-03-06 10:10:47	ga_ls7e_ard_3-2-1_111083_2022-03-06_final
2022-03-08 09:55:49	ga_ls7e_ard_3-2-1_109077_2022-03-08_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years