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
2001-04-25 11:41:16	ga_ls7e_ard_3-0-0_115075_2001-04-25_final
2001-10-18 11:39:53	ga_ls7e_ard_3-0-0_115076_2001-10-18_final
2002-08-06 09:36:10	ga_ls7e_ard_3-0-0_095076_2002-08-06_final
2003-08-21 11:40:48	ga_ls7e_ard_3-0-0_115078_2003-08-21_final
2004-09-12 09:40:15	ga_ls7e_ard_3-0-0_095085_2004-09-12_final
2005-01-18 09:36:12	ga_ls7e_ard_3-1-0_095073_2005-01-18_final
2005-02-15 11:41:36	ga_ls7e_ard_3-1-0_115077_2005-02-15_final
2005-05-09 08:56:21	ga_ls7e_ard_3-0-0_088081_2005-05-08_final
2005-05-22 11:42:00	ga_ls7e_ard_3-0-0_115078_2005-05-22_final
2005-06-10 08:56:13	ga_ls7e_ard_3-0-0_088081_2005-06-09_final
2005-07-28 08:56:32	ga_ls7e_ard_3-0-0_088082_2005-07-27_final
2005-08-19 11:35:32	ga_ls7e_ard_3-0-0_114078_2005-08-19_final
2005-08-26 11:42:03	ga_ls7e_ard_3-0-0_115079_2005-08-26_final
2006-02-22 09:41:40	ga_ls7e_ard_3-0-0_095085_2006-02-22_final
2006-05-25 11:41:16	ga_ls7e_ard_3-0-0_115075_2006-05-25_final
2007-01-08 09:41:49	ga_ls7e_ard_3-1-0_095085_2007-01-08_final
2007-02-14 11:37:26	ga_ls7e_ard_3-0-0_114080_2007-02-14_final
2007-04-10 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-04-10_final
2007-11-08 09:37:39	ga_ls7e_ard_3-0-0_095075_2007-11-08_final
2007-12-15 11:37:20	ga_ls7e_ard_3-0-0_114080_2007-12-15_final
2008-04-21 11:31:57	ga_ls7e_ard_3-0-0_114067_2008-04-21_final
2008-08-05 08:56:21	ga_ls7e_ard_3-0-0_088082_2008-08-04_final
2008-08-27 11:34:54	ga_ls7e_ard_3-0-0_114077_2008-08-27_final
2009-03-18 09:36:35	ga_ls7e_ard_3-0-0_095072_2009-03-18_final
2009-04-24 11:37:24	ga_ls7e_ard_3-0-0_114080_2009-04-24_final
2009-09-10 09:42:09	ga_ls7e_ard_3-0-0_095086_2009-09-10_final
2010-02-13 11:44:41	ga_ls7e_ard_3-0-0_115079_2010-02-13_final
2010-04-11 11:38:26	ga_ls7e_ard_3-0-0_114078_2010-04-11_final
2010-09-25 11:43:53	ga_ls7e_ard_3-0-0_115076_2010-09-25_final
2011-01-02 08:59:55	ga_ls7e_ard_3-0-0_088081_2011-01-01_final
2011-02-04 09:44:12	ga_ls7e_ard_3-0-0_095083_2011-02-04_final
2012-09-07 11:42:48	ga_ls7e_ard_3-0-0_114081_2012-09-07_final
2012-09-18 09:44:39	ga_ls7e_ard_3-1-0_095079_2012-09-18_final
2012-10-09 11:41:28	ga_ls7e_ard_3-0-0_114077_2012-10-09_final
2012-12-03 11:48:22	ga_ls7e_ard_3-0-0_115078_2012-12-03_final
2013-01-20 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-01-20_final
2013-07-19 09:46:33	ga_ls7e_ard_3-0-0_095084_2013-07-19_final
2013-09-21 09:47:41	ga_ls7e_ard_3-0-0_095086_2013-09-21_final
2013-12-26 09:42:48	ga_ls7e_ard_3-0-0_095072_2013-12-26_final
2014-06-20 09:49:24	ga_ls7e_ard_3-0-0_095086_2014-06-20_final
2014-08-06 09:04:23	ga_ls7e_ard_3-0-0_088081_2014-08-05_final
2014-09-07 09:04:47	ga_ls7e_ard_3-0-0_088082_2014-09-06_final
2015-04-20 09:46:02	ga_ls7e_ard_3-1-0_095073_2015-04-20_final
2015-08-15 11:44:52	ga_ls7e_ard_3-0-0_114075_2015-08-15_final
2016-09-13 09:53:30	ga_ls7e_ard_3-0-0_095083_2016-09-13_final
2017-05-27 09:49:20	ga_ls7e_ard_3-1-0_095073_2017-05-27_final
2017-09-05 11:48:26	ga_ls7e_ard_3-0-0_114077_2017-09-05_final
2018-08-23 11:44:14	ga_ls7e_ard_3-0-0_114077_2018-08-23_final
2018-09-15 11:48:44	ga_ls7e_ard_3-0-0_115074_2018-09-15_final
2018-09-19 09:49:49	ga_ls7e_ard_3-0-0_095086_2018-09-19_final
2018-12-29 11:41:09	ga_ls7e_ard_3-0-0_114077_2018-12-29_final
2019-10-08 09:35:18	ga_ls7e_ard_3-1-0_095082_2019-10-08_final
2020-01-01 11:22:44	ga_ls7e_ard_3-1-0_114067_2020-01-01_final
2020-03-21 11:21:22	ga_ls7e_ard_3-1-0_114074_2020-03-21_final
2020-03-28 11:29:09	ga_ls7e_ard_3-1-0_115079_2020-03-28_final
2020-05-24 11:17:35	ga_ls7e_ard_3-1-0_114074_2020-05-24_final
2021-02-19 10:17:06	ga_ls7e_ard_3-2-0_107076_2021-02-19_final
2021-02-21 10:04:11	ga_ls7e_ard_3-2-0_105075_2021-02-21_final
2021-03-04 09:47:35	ga_ls7e_ard_3-2-0_102082_2021-03-04_final
2021-04-03 09:53:57	ga_ls7e_ard_3-2-0_104073_2021-04-03_final
2021-05-12 08:19:59	ga_ls7e_ard_3-2-0_089078_2021-05-11_final
2021-05-19 10:00:27	ga_ls7e_ard_3-2-0_106068_2021-05-19_final
2021-05-22 08:57:01	ga_ls7e_ard_3-2-0_095080_2021-05-21_final
2021-06-02 08:39:31	ga_ls7e_ard_3-2-0_092085_2021-06-01_final
2021-06-13 09:52:35	ga_ls7e_ard_3-2-0_105069_2021-06-13_final
2021-06-16 08:47:09	ga_ls7e_ard_3-2-0_094076_2021-06-15_final
2021-06-25 08:45:01	ga_ls7e_ard_3-2-0_093088_2021-06-24_final
2021-06-26 09:26:36	ga_ls7e_ard_3-2-0_100084_2021-06-25_final
2021-06-29 09:56:03	ga_ls7e_ard_3-2-0_105081_2021-06-29_final
2021-06-29 09:56:27	ga_ls7e_ard_3-2-0_105082_2021-06-29_final
2021-06-30 09:02:21	ga_ls7e_ard_3-2-0_096086_2021-06-29_final
2021-07-13 08:30:45	ga_ls7e_ard_3-2-0_091087_2021-07-12_final
2021-07-13 10:04:50	ga_ls7e_ard_3-2-0_107075_2021-07-13_final
2021-07-21 09:11:55	ga_ls7e_ard_3-2-0_099068_2021-07-20_final
2021-08-24 09:00:09	ga_ls7e_ard_3-2-0_097077_2021-08-23_final
2021-09-01 09:50:30	ga_ls7e_ard_3-2-0_105081_2021-09-01_final
2021-09-07 09:08:31	ga_ls7e_ard_3-2-0_099070_2021-09-06_final
2021-09-13 08:34:06	ga_ls7e_ard_3-2-0_093078_2021-09-12_final
2021-09-17 08:09:25	ga_ls7e_ard_3-2-0_089079_2021-09-16_final
2021-09-23 10:49:33	ga_ls7e_ard_3-2-0_115079_2021-09-23_final
2021-10-10 09:53:14	ga_ls7e_ard_3-2-0_106081_2021-10-10_final
2021-11-09 08:26:21	ga_ls7e_ard_3-2-0_092087_2021-11-08_final
2021-11-09 09:58:50	ga_ls7e_ard_3-2-0_108071_2021-11-09_final
2021-11-11 09:45:29	ga_ls7e_ard_3-2-0_106069_2021-11-11_final
2021-12-14 10:31:11	ga_ls7e_ard_3-2-1_113083_2021-12-14_final
2021-12-18 10:02:29	ga_ls7e_ard_3-2-1_109074_2021-12-18_final
2021-12-20 09:49:56	ga_ls7e_ard_3-2-1_107074_2021-12-20_final
2022-01-19 09:58:34	ga_ls7e_ard_3-2-1_109072_2022-01-19_final
2022-01-21 08:11:56	ga_ls7e_ard_3-2-1_091084_2022-01-20_final
2022-01-27 09:10:21	ga_ls7e_ard_3-2-1_101077_2022-01-26_final
2022-01-28 09:55:54	ga_ls7e_ard_3-2-1_108083_2022-01-28_final
2022-01-29 10:37:28	ga_ls7e_ard_3-2-1_115079_2022-01-29_final
2022-01-31 08:45:38	ga_ls7e_ard_3-2-1_097078_2022-01-30_final
2022-02-08 09:35:51	ga_ls7e_ard_3-2-1_105082_2022-02-08_final
2022-03-10 08:05:59	ga_ls7e_ard_3-2-1_091081_2022-03-09_final
2022-03-18 08:51:01	ga_ls7e_ard_3-2-1_099072_2022-03-17_final
2022-03-18 08:55:48	ga_ls7e_ard_3-2-1_099084_2022-03-17_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-22 10:07:12	ga_ls7e_ard_3-2-1_111078_2022-03-22_final
2022-03-26 08:05:13	ga_ls7e_ard_3-2-1_091083_2022-03-25_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