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
2003-04-15 11:40:22	ga_ls7e_ard_3-0-0_115076_2003-04-15_final
2003-08-14 11:33:26	ga_ls7e_ard_3-0-0_114075_2003-08-14_final
2004-06-29 11:34:03	ga_ls7e_ard_3-0-0_114075_2004-06-29_final
2004-06-29 11:35:14	ga_ls7e_ard_3-0-0_114078_2004-06-29_final
2004-11-20 11:36:00	ga_ls7e_ard_3-0-0_114080_2004-11-20_final
2005-07-25 11:40:13	ga_ls7e_ard_3-0-0_115074_2005-07-25_final
2006-04-16 11:34:38	ga_ls7e_ard_3-0-0_114074_2006-04-16_final
2006-08-29 11:40:50	ga_ls7e_ard_3-0-0_115075_2006-08-29_final
2006-10-25 11:36:16	ga_ls7e_ard_3-0-0_114079_2006-10-25_final
2007-02-14 11:35:27	ga_ls7e_ard_3-0-0_114075_2007-02-14_final
2008-02-24 11:42:38	ga_ls7e_ard_3-0-0_115078_2008-02-24_final
2008-05-23 11:36:10	ga_ls7e_ard_3-0-0_114078_2008-05-23_final
2009-05-17 11:42:26	ga_ls7e_ard_3-1-0_115077_2009-05-17_final
2009-08-05 11:43:01	ga_ls7e_ard_3-0-0_115079_2009-08-05_final
2010-03-10 11:39:07	ga_ls7e_ard_3-0-0_114080_2010-03-10_final
2010-08-01 11:36:51	ga_ls7e_ard_3-0-0_114074_2010-08-01_final
2011-06-17 11:38:36	ga_ls7e_ard_3-0-0_114075_2011-06-17_final
2011-07-19 11:39:44	ga_ls7e_ard_3-0-0_114078_2011-07-19_final
2011-08-20 11:35:14	ga_ls7e_ard_3-0-0_114067_2011-08-20_final
2011-09-05 11:39:34	ga_ls7e_ard_3-0-0_114078_2011-09-05_final
2012-11-10 11:37:43	ga_ls7e_ard_3-0-0_114067_2012-11-10_final
2012-12-19 11:47:19	ga_ls7e_ard_3-0-0_115075_2012-12-19_final
2012-12-28 11:42:47	ga_ls7e_ard_3-0-0_114079_2012-12-28_final
2013-05-05 11:42:55	ga_ls7e_ard_3-0-0_114080_2013-05-05_final
2014-04-13 11:48:15	ga_ls7e_ard_3-0-0_115075_2014-04-13_final
2014-07-18 11:49:08	ga_ls7e_ard_3-0-0_115076_2014-07-18_final
2015-11-19 11:45:24	ga_ls7e_ard_3-0-0_114074_2015-11-19_final
2015-12-21 11:48:17	ga_ls7e_ard_3-0-0_114080_2015-12-21_final
2016-03-01 11:52:46	ga_ls7e_ard_3-0-0_115074_2016-03-01_final
2016-04-18 11:54:18	ga_ls7e_ard_3-1-0_115077_2016-04-18_final
2016-08-24 11:53:28	ga_ls7e_ard_3-0-0_115074_2016-08-24_final
2017-03-20 11:53:48	ga_ls7e_ard_3-0-0_115076_2017-03-20_final
2017-12-10 11:47:26	ga_ls7e_ard_3-0-0_114075_2017-12-10_final
2018-07-06 11:45:07	ga_ls7e_ard_3-0-0_114077_2018-07-06_final
2018-07-13 11:50:22	ga_ls7e_ard_3-0-0_115075_2018-07-13_final
2019-04-20 11:37:31	ga_ls7e_ard_3-0-0_114077_2019-04-20_final
2019-05-22 11:35:05	ga_ls7e_ard_3-0-0_114074_2019-05-22_final
2019-09-02 11:39:15	ga_ls7e_ard_3-1-0_115079_2019-09-02_final
2019-12-16 11:28:45	ga_ls7e_ard_3-1-0_114080_2019-12-16_final
2020-11-21 09:48:33	ga_ls7e_ard_3-1-0_101081_2020-11-21_final
2020-11-24 08:39:34	ga_ls7e_ard_3-1-0_090079_2020-11-23_final
2020-11-29 10:38:13	ga_ls7e_ard_3-1-0_109083_2020-11-29_final
2020-11-30 09:42:32	ga_ls7e_ard_3-1-0_100083_2020-11-30_final
2020-12-05 09:57:06	ga_ls7e_ard_3-1-0_103074_2020-12-05_final
2020-12-06 09:01:25	ga_ls7e_ard_3-1-0_094074_2020-12-05_final
2020-12-15 08:56:09	ga_ls7e_ard_3-1-0_093078_2020-12-14_final
2020-12-24 08:53:17	ga_ls7e_ard_3-1-0_092088_2020-12-23_final
2021-01-05 10:53:40	ga_ls7e_ard_3-1-0_112082_2021-01-05_final
2021-01-07 10:40:46	ga_ls7e_ard_3-1-0_110081_2021-01-07_final
2021-01-19 09:22:10	ga_ls7e_ard_3-1-0_098072_2021-01-18_final
2021-02-13 10:57:49	ga_ls7e_ard_3-2-0_113084_2021-02-13_final
2021-02-19 08:40:37	ga_ls7e_ard_3-2-0_091082_2021-02-18_final
2021-02-22 10:49:46	ga_ls7e_ard_3-2-0_112081_2021-02-22_final
2021-02-26 10:24:20	ga_ls7e_ard_3-2-0_108080_2021-02-26_final
2021-03-07 10:15:28	ga_ls7e_ard_3-2-0_107075_2021-03-07_final
2021-04-01 08:32:47	ga_ls7e_ard_3-2-0_090086_2021-03-31_final
2021-04-09 09:19:10	ga_ls7e_ard_3-2-0_098080_2021-04-08_final
2021-04-10 08:24:16	ga_ls7e_ard_3-2-0_089082_2021-04-09_final
2021-04-18 09:08:39	ga_ls7e_ard_3-2-0_097071_2021-04-17_final
2021-04-23 09:28:45	ga_ls7e_ard_3-2-0_100076_2021-04-22_final
2021-04-24 08:33:27	ga_ls7e_ard_3-2-0_091077_2021-04-23_final
2021-04-24 08:36:14	ga_ls7e_ard_3-2-0_091084_2021-04-23_final
2021-04-25 10:56:42	ga_ls7e_ard_3-2-0_114080_2021-04-25_final
2021-04-29 08:52:45	ga_ls7e_ard_3-2-0_094080_2021-04-28_final
2021-05-15 08:49:02	ga_ls7e_ard_3-2-0_094074_2021-05-14_final
2021-05-19 10:04:51	ga_ls7e_ard_3-2-0_106079_2021-05-19_final
2021-05-25 09:28:27	ga_ls7e_ard_3-2-0_100082_2021-05-24_final
2021-05-30 09:41:22	ga_ls7e_ard_3-2-0_103069_2021-05-30_final
2021-07-02 08:48:13	ga_ls7e_ard_3-2-0_094082_2021-07-01_final
2021-07-03 09:29:24	ga_ls7e_ard_3-2-0_101077_2021-07-02_final
2021-07-11 08:39:41	ga_ls7e_ard_3-2-0_093078_2021-07-10_final
2021-07-13 08:26:21	ga_ls7e_ard_3-2-0_091076_2021-07-12_final
2021-08-04 09:26:14	ga_ls7e_ard_3-2-0_101076_2021-08-03_final
2021-08-25 09:43:20	ga_ls7e_ard_3-2-0_104077_2021-08-25_final
2021-09-11 10:26:42	ga_ls7e_ard_3-2-0_111081_2021-09-11_final
2021-09-15 09:59:38	ga_ls7e_ard_3-2-0_107076_2021-09-15_final
2021-10-06 10:14:19	ga_ls7e_ard_3-2-0_110071_2021-10-06_final
2021-10-21 09:34:06	ga_ls7e_ard_3-2-0_103082_2021-10-21_final
2021-11-01 09:11:22	ga_ls7e_ard_3-2-0_100074_2021-10-31_final
2021-11-06 09:27:50	ga_ls7e_ard_3-2-0_103070_2021-11-05_final
2021-11-16 10:08:44	ga_ls7e_ard_3-2-1_109082_2021-11-16_final
2021-12-07 10:24:28	ga_ls7e_ard_3-2-1_112080_2021-12-07_final
2021-12-11 08:20:54	ga_ls7e_ard_3-2-1_092081_2021-12-10_final
2021-12-18 08:26:48	ga_ls7e_ard_3-2-1_093082_2021-12-17_final
2022-01-08 10:21:20	ga_ls7e_ard_3-2-1_112080_2022-01-08_final
2022-01-12 08:19:46	ga_ls7e_ard_3-2-1_092086_2022-01-11_final
2022-01-26 10:07:40	ga_ls7e_ard_3-2-1_110081_2022-01-26_final
2022-01-30 08:03:40	ga_ls7e_ard_3-2-1_090081_2022-01-29_final
2022-02-05 09:02:52	ga_ls7e_ard_3-2-1_100076_2022-02-04_final
2022-02-08 07:56:59	ga_ls7e_ard_3-2-1_089082_2022-02-07_final
2022-02-15 09:36:55	ga_ls7e_ard_3-2-1_106071_2022-02-15_final
2022-02-16 10:22:04	ga_ls7e_ard_3-2-1_113076_2022-02-16_final
2022-03-02 08:55:25	ga_ls7e_ard_3-2-1_099079_2022-03-01_final
2022-03-04 10:22:56	ga_ls7e_ard_3-2-1_113082_2022-03-04_final
2022-03-07 09:13:52	ga_ls7e_ard_3-2-1_102080_2022-03-06_final
2022-03-10 09:41:16	ga_ls7e_ard_3-2-1_107072_2022-03-10_final
2022-03-15 10:02:53	ga_ls7e_ard_3-2-1_110081_2022-03-15_final
2022-03-27 08:44:00	ga_ls7e_ard_3-2-1_098072_2022-03-26_final
2022-03-29 08:32:14	ga_ls7e_ard_3-2-1_096074_2022-03-28_final
2022-03-29 10:11:31	ga_ls7e_ard_3-2-1_112075_2022-03-29_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