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
2003-10-24 11:40:21	ga_ls7e_ard_3-1-0_115077_2003-10-24_final
2004-09-01 11:30:34	ga_ls7e_ard_3-0-0_114067_2004-09-01_final
2005-06-16 11:31:16	ga_ls7e_ard_3-0-0_114067_2005-06-16_final
2005-07-02 11:34:26	ga_ls7e_ard_3-0-0_114075_2005-07-02_final
2005-08-26 11:41:15	ga_ls7e_ard_3-1-0_115077_2005-08-26_final
2007-11-20 11:42:10	ga_ls7e_ard_3-0-0_115077_2007-11-20_final
2008-03-04 11:36:24	ga_ls7e_ard_3-0-0_114078_2008-03-04_final
2008-08-18 11:40:21	ga_ls7e_ard_3-0-0_115075_2008-08-18_final
2009-03-23 11:35:14	ga_ls7e_ard_3-0-0_114075_2009-03-23_final
2009-07-29 11:32:05	ga_ls7e_ard_3-0-0_114067_2009-07-29_final
2009-10-01 11:37:32	ga_ls7e_ard_3-0-0_114081_2009-10-01_final
2009-11-09 11:41:44	ga_ls7e_ard_3-0-0_115075_2009-11-09_final
2010-06-14 11:37:10	ga_ls7e_ard_3-0-0_114075_2010-06-14_final
2010-12-07 11:38:47	ga_ls7e_ard_3-0-0_114077_2010-12-07_final
2011-01-15 11:44:06	ga_ls7e_ard_3-0-0_115074_2011-01-15_final
2011-01-31 11:44:12	ga_ls7e_ard_3-0-0_115074_2011-01-31_final
2011-05-16 11:39:47	ga_ls7e_ard_3-0-0_114078_2011-05-16_final
2011-09-21 11:38:18	ga_ls7e_ard_3-0-0_114075_2011-09-21_final
2012-06-19 11:40:40	ga_ls7e_ard_3-0-0_114078_2012-06-19_final
2013-07-08 11:40:27	ga_ls7e_ard_3-0-0_114075_2013-07-08_final
2013-07-17 11:37:25	ga_ls7e_ard_3-0-0_113083_2013-07-17_final
2014-01-16 11:42:49	ga_ls7e_ard_3-0-0_114078_2014-01-16_final
2014-02-01 11:42:42	ga_ls7e_ard_3-0-0_114077_2014-02-01_final
2016-04-18 11:53:06	ga_ls7e_ard_3-0-0_115074_2016-04-18_final
2016-04-27 11:47:22	ga_ls7e_ard_3-0-0_114075_2016-04-27_final
2016-07-16 11:47:11	ga_ls7e_ard_3-0-0_114074_2016-07-16_final
2016-07-16 11:47:35	ga_ls7e_ard_3-0-0_114075_2016-07-16_final
2016-09-02 11:47:43	ga_ls7e_ard_3-0-0_114075_2016-09-02_final
2016-11-12 11:53:46	ga_ls7e_ard_3-0-0_115075_2016-11-12_final
2017-03-04 11:54:06	ga_ls7e_ard_3-1-0_115077_2017-03-04_final
2017-04-05 11:54:40	ga_ls7e_ard_3-0-0_115078_2017-04-05_final
2018-04-01 11:45:36	ga_ls7e_ard_3-0-0_114074_2018-04-01_final
2018-06-20 11:44:38	ga_ls7e_ard_3-0-0_114075_2018-06-20_final
2019-01-14 11:40:15	ga_ls7e_ard_3-0-0_114076_2019-01-14_final
2019-03-10 11:44:43	ga_ls7e_ard_3-1-0_115076_2019-03-10_final
2019-04-20 11:37:55	ga_ls7e_ard_3-0-0_114078_2019-04-20_final
2019-06-23 11:31:09	ga_ls7e_ard_3-0-0_114067_2019-06-23_final
2020-06-16 11:24:25	ga_ls7e_ard_3-1-0_115079_2020-06-16_final
2020-08-28 11:12:08	ga_ls7e_ard_3-1-0_114075_2020-08-28_final
2020-11-26 10:06:20	ga_ls7e_ard_3-1-0_104080_2020-11-26_final
2020-11-29 10:34:14	ga_ls7e_ard_3-1-0_109073_2020-11-29_final
2020-12-01 10:21:43	ga_ls7e_ard_3-1-0_107073_2020-12-01_final
2020-12-11 11:00:51	ga_ls7e_ard_3-1-0_113080_2020-12-11_final
2021-01-14 10:40:52	ga_ls7e_ard_3-1-0_111067_2021-01-14_final
2021-01-18 08:44:10	ga_ls7e_ard_3-1-0_091085_2021-01-17_final
2021-01-18 10:19:03	ga_ls7e_ard_3-1-0_107075_2021-01-18_final
2021-01-31 09:46:01	ga_ls7e_ard_3-2-0_102072_2021-01-31_final
2021-02-02 09:33:55	ga_ls7e_ard_3-2-0_100073_2021-02-02_final
2021-02-03 10:17:06	ga_ls7e_ard_3-2-0_107073_2021-02-03_final
2021-02-08 10:35:40	ga_ls7e_ard_3-2-0_110074_2021-02-08_final
2021-02-17 08:51:31	ga_ls7e_ard_3-2-0_093078_2021-02-16_final
2021-02-18 09:33:07	ga_ls7e_ard_3-2-0_100074_2021-02-18_final
2021-02-22 10:50:57	ga_ls7e_ard_3-2-0_112084_2021-02-22_final
2021-03-05 08:52:17	ga_ls7e_ard_3-2-0_093083_2021-03-04_final
2021-03-23 10:13:23	ga_ls7e_ard_3-2-0_107073_2021-03-23_final
2021-04-06 10:25:48	ga_ls7e_ard_3-2-0_109076_2021-04-06_final
2021-04-08 08:34:24	ga_ls7e_ard_3-2-0_091076_2021-04-07_final
2021-04-15 08:43:11	ga_ls7e_ard_3-2-0_092084_2021-04-14_final
2021-05-07 09:39:32	ga_ls7e_ard_3-2-0_102075_2021-05-07_final
2021-06-10 09:23:07	ga_ls7e_ard_3-2-0_100072_2021-06-09_final
2021-06-18 08:36:37	ga_ls7e_ard_3-2-0_092081_2021-06-17_final
2021-07-16 08:53:24	ga_ls7e_ard_3-2-0_096067_2021-07-15_final
2021-07-22 09:58:16	ga_ls7e_ard_3-2-0_106076_2021-07-22_final
2021-08-19 10:16:56	ga_ls7e_ard_3-2-0_110067_2021-08-19_final
2021-08-20 09:27:13	ga_ls7e_ard_3-2-0_101082_2021-08-19_final
2021-08-21 10:08:47	ga_ls7e_ard_3-2-0_108078_2021-08-21_final
2021-09-08 08:18:47	ga_ls7e_ard_3-2-0_090085_2021-09-07_final
2021-09-15 09:58:02	ga_ls7e_ard_3-2-0_107072_2021-09-15_final
2021-09-16 09:02:20	ga_ls7e_ard_3-2-0_098072_2021-09-15_final
2021-09-27 10:19:41	ga_ls7e_ard_3-2-0_111067_2021-09-27_final
2021-09-29 10:08:44	ga_ls7e_ard_3-2-0_109071_2021-09-29_final
2021-10-03 08:08:23	ga_ls7e_ard_3-2-0_089080_2021-10-02_final
2021-10-09 09:10:28	ga_ls7e_ard_3-2-0_099082_2021-10-08_final
2021-10-10 08:13:57	ga_ls7e_ard_3-2-0_090080_2021-10-09_final
2021-10-10 09:50:02	ga_ls7e_ard_3-2-0_106073_2021-10-10_final
2021-10-11 08:53:32	ga_ls7e_ard_3-2-0_097071_2021-10-10_final
2021-10-12 09:37:06	ga_ls7e_ard_3-2-0_104072_2021-10-12_final
2021-10-13 10:18:17	ga_ls7e_ard_3-2-0_111067_2021-10-13_final
2021-10-17 09:58:47	ga_ls7e_ard_3-2-0_107081_2021-10-17_final
2021-10-25 09:06:14	ga_ls7e_ard_3-2-0_099075_2021-10-24_final
2021-11-02 08:21:14	ga_ls7e_ard_3-2-0_091088_2021-11-01_final
2021-11-07 10:11:24	ga_ls7e_ard_3-2-0_110071_2021-11-07_final
2021-11-12 10:32:39	ga_ls7e_ard_3-2-1_113079_2021-11-12_final
2021-11-18 09:52:59	ga_ls7e_ard_3-2-1_107074_2021-11-18_final
2021-11-19 10:36:08	ga_ls7e_ard_3-2-1_114074_2021-11-19_final
2021-11-23 10:12:13	ga_ls7e_ard_3-2-1_110077_2021-11-23_final
2021-11-27 09:45:56	ga_ls7e_ard_3-2-1_106074_2021-11-27_final
2021-11-28 10:32:18	ga_ls7e_ard_3-2-1_113082_2021-11-28_final
2021-12-02 08:27:08	ga_ls7e_ard_3-2-1_093079_2021-12-01_final
2021-12-03 09:07:06	ga_ls7e_ard_3-2-1_100071_2021-12-02_final
2021-12-21 08:55:25	ga_ls7e_ard_3-2-1_098077_2021-12-20_final
2021-12-30 10:29:12	ga_ls7e_ard_3-2-1_113082_2021-12-30_final
2022-01-31 10:25:42	ga_ls7e_ard_3-2-1_113081_2022-01-31_final
2022-02-14 08:55:45	ga_ls7e_ard_3-2-1_099076_2022-02-13_final
2022-02-18 08:32:14	ga_ls7e_ard_3-2-1_095080_2022-02-17_final
2022-02-24 09:30:17	ga_ls7e_ard_3-2-1_105072_2022-02-24_final
2022-02-24 09:30:40	ga_ls7e_ard_3-2-1_105073_2022-02-24_final
2022-03-05 09:22:50	ga_ls7e_ard_3-2-1_104071_2022-03-04_final
2022-03-10 08:07:11	ga_ls7e_ard_3-2-1_091084_2022-03-09_final
2022-03-11 08:48:21	ga_ls7e_ard_3-2-1_098079_2022-03-10_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