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
2000-05-28 09:39:33	ga_ls7e_ard_3-0-0_095075_2000-05-28_final
2001-12-30 11:30:27	ga_ls7e_ard_3-0-0_114067_2001-12-30_final
2002-07-21 09:38:41	ga_ls7e_ard_3-0-0_095082_2002-07-21_final
2003-01-11 11:30:24	ga_ls7e_ard_3-0-0_113083_2003-01-11_final
2003-01-18 11:33:05	ga_ls7e_ard_3-0-0_114074_2003-01-18_final
2003-02-26 11:41:03	ga_ls7e_ard_3-0-0_115078_2003-02-26_final
2003-03-18 09:35:31	ga_ls7e_ard_3-1-0_095073_2003-03-18_final
2003-11-18 11:34:26	ga_ls7e_ard_3-0-0_114077_2003-11-18_final
2003-11-29 09:39:04	ga_ls7e_ard_3-0-0_095082_2003-11-29_final
2003-12-29 11:29:20	ga_ls7e_ard_3-0-0_113079_2003-12-29_final
2003-12-31 09:35:18	ga_ls7e_ard_3-0-0_095072_2003-12-31_final
2004-02-17 09:36:19	ga_ls7e_ard_3-0-0_095074_2004-02-17_final
2004-03-02 11:24:48	ga_ls7e_ard_3-0-0_113067_2004-03-02_final
2004-07-10 09:40:59	ga_ls7e_ard_3-0-0_095086_2004-07-10_final
2004-10-03 11:35:11	ga_ls7e_ard_3-0-0_114079_2004-10-03_final
2004-11-11 11:41:20	ga_ls7e_ard_3-0-0_115078_2004-11-11_final
2005-10-31 11:24:59	ga_ls7e_ard_3-0-0_113067_2005-10-31_final
2006-01-05 09:39:47	ga_ls7e_ard_3-0-0_095081_2006-01-05_final
2006-01-05 09:41:47	ga_ls7e_ard_3-0-0_095086_2006-01-05_final
2006-10-03 08:56:08	ga_ls7e_ard_3-0-0_088081_2006-10-02_final
2007-01-13 11:34:50	ga_ls7e_ard_3-0-0_114074_2007-01-13_final
2007-06-15 11:25:55	ga_ls7e_ard_3-0-0_113067_2007-06-15_final
2009-04-24 11:35:00	ga_ls7e_ard_3-0-0_114074_2009-04-24_final
2009-05-12 11:26:41	ga_ls7e_ard_3-0-0_112084_2009-05-12_final
2009-05-21 09:37:39	ga_ls7e_ard_3-0-0_095074_2009-05-21_final
2009-11-09 11:43:20	ga_ls7e_ard_3-0-0_115079_2009-11-09_final
2010-04-22 09:43:24	ga_ls7e_ard_3-0-0_095084_2010-04-22_final
2011-01-01 11:34:49	ga_ls7e_ard_3-0-0_113082_2011-01-01_final
2011-01-15 11:44:54	ga_ls7e_ard_3-0-0_115076_2011-01-15_final
2011-02-18 11:32:18	ga_ls7e_ard_3-0-0_113075_2011-02-18_final
2011-07-14 09:40:19	ga_ls7e_ard_3-1-0_095073_2011-07-14_final
2011-12-05 09:44:09	ga_ls7e_ard_3-0-0_095082_2011-12-05_final
2012-01-11 11:39:03	ga_ls7e_ard_3-0-0_114075_2012-01-11_final
2012-01-27 11:35:50	ga_ls7e_ard_3-0-0_114067_2012-01-27_final
2012-04-23 11:46:38	ga_ls7e_ard_3-0-0_115078_2012-04-23_final
2012-06-30 09:44:57	ga_ls7e_ard_3-0-0_095082_2012-06-30_final
2013-05-07 11:31:45	ga_ls7e_ard_3-0-0_112083_2013-05-07_final
2013-07-03 09:47:30	ga_ls7e_ard_3-0-0_095086_2013-07-03_final
2014-03-05 11:41:48	ga_ls7e_ard_3-0-0_114075_2014-03-05_final
2014-10-06 11:48:44	ga_ls7e_ard_3-0-0_115074_2014-10-06_final
2015-02-13 11:40:41	ga_ls7e_ard_3-0-0_113083_2015-02-13_final
2015-02-20 11:44:35	ga_ls7e_ard_3-0-0_114077_2015-02-20_final
2015-03-08 11:45:54	ga_ls7e_ard_3-0-0_114080_2015-03-08_final
2015-08-10 09:44:14	ga_ls7e_ard_3-0-0_095067_2015-08-10_final
2015-08-26 09:51:50	ga_ls7e_ard_3-0-0_095086_2015-08-26_final
2015-09-07 11:52:17	ga_ls7e_ard_3-0-0_115078_2015-09-07_final
2016-01-17 09:50:51	ga_ls7e_ard_3-1-0_095079_2016-01-17_final
2016-05-24 09:53:14	ga_ls7e_ard_3-0-0_095083_2016-05-24_final
2017-01-24 11:48:16	ga_ls7e_ard_3-0-0_114078_2017-01-24_final
2017-06-12 09:55:00	ga_ls7e_ard_3-0-0_095087_2017-06-12_final
2017-11-03 09:53:01	ga_ls7e_ard_3-0-0_095082_2017-11-03_final
2018-01-06 09:54:05	ga_ls7e_ard_3-0-0_095086_2018-01-06_final
2018-02-03 11:52:52	ga_ls7e_ard_3-0-0_115075_2018-02-03_final
2018-05-28 11:35:40	ga_ls7e_ard_3-0-0_113067_2018-05-28_final
2019-01-09 09:39:24	ga_ls7e_ard_3-0-0_095067_2019-01-09_final
2019-01-30 11:39:19	ga_ls7e_ard_3-0-0_114075_2019-01-30_final
2019-02-22 11:44:26	ga_ls7e_ard_3-1-0_115074_2019-02-22_final
2019-03-12 11:35:05	ga_ls7e_ard_3-1-0_113083_2019-03-12_final
2019-09-22 09:36:22	ga_ls7e_ard_3-1-0_095083_2019-09-22_final
2019-12-11 09:31:58	ga_ls7e_ard_3-1-0_095081_2019-12-11_final
2020-03-16 09:27:25	ga_ls7e_ard_3-1-0_095082_2020-03-15_final
2020-05-01 11:15:13	ga_ls7e_ard_3-1-0_113080_2020-05-01_final
2020-12-04 10:56:00	ga_ls7e_ard_3-1-0_112082_2020-12-04_final
2021-02-10 08:45:52	ga_ls7e_ard_3-2-0_092078_2021-02-09_final
2021-02-26 08:48:39	ga_ls7e_ard_3-2-0_092088_2021-02-25_final
2021-03-03 10:40:53	ga_ls7e_ard_3-2-0_111076_2021-03-03_final
2021-03-06 09:34:40	ga_ls7e_ard_3-2-0_100081_2021-03-06_final
2021-04-01 10:07:40	ga_ls7e_ard_3-2-0_106076_2021-04-01_final
2021-04-13 10:29:48	ga_ls7e_ard_3-2-0_110072_2021-04-13_final
2021-04-13 10:34:35	ga_ls7e_ard_3-2-0_110084_2021-04-13_final
2021-04-15 10:16:05	ga_ls7e_ard_3-2-0_108069_2021-04-15_final
2021-04-30 09:34:20	ga_ls7e_ard_3-2-0_101076_2021-04-30_final
2021-05-04 10:47:22	ga_ls7e_ard_3-2-0_113074_2021-05-04_final
2021-05-08 10:25:54	ga_ls7e_ard_3-2-0_109083_2021-05-08_final
2021-05-17 10:15:23	ga_ls7e_ard_3-2-0_108074_2021-05-17_final
2021-05-30 09:46:33	ga_ls7e_ard_3-2-0_103082_2021-05-30_final
2021-06-02 10:16:00	ga_ls7e_ard_3-2-0_108079_2021-06-02_final
2021-06-16 10:24:26	ga_ls7e_ard_3-2-0_110072_2021-06-16_final
2021-06-17 09:28:20	ga_ls7e_ard_3-2-0_101071_2021-06-16_final
2021-06-30 10:40:25	ga_ls7e_ard_3-2-0_112084_2021-06-30_final
2021-07-05 09:17:40	ga_ls7e_ard_3-2-0_099079_2021-07-04_final
2021-07-18 10:19:45	ga_ls7e_ard_3-2-0_110067_2021-07-18_final
2021-07-27 08:37:06	ga_ls7e_ard_3-2-0_093075_2021-07-26_final
2021-08-05 10:12:12	ga_ls7e_ard_3-2-0_108083_2021-08-05_final
2021-08-07 08:21:11	ga_ls7e_ard_3-2-0_090084_2021-08-06_final
2021-08-12 08:36:29	ga_ls7e_ard_3-2-0_093077_2021-08-11_final
2021-08-20 09:22:49	ga_ls7e_ard_3-2-0_101071_2021-08-19_final
2021-09-04 08:39:04	ga_ls7e_ard_3-2-0_094073_2021-09-03_final
2021-09-14 09:19:16	ga_ls7e_ard_3-2-0_100083_2021-09-13_final
2021-10-14 09:27:45	ga_ls7e_ard_3-2-0_102080_2021-10-13_final
2021-11-03 08:57:37	ga_ls7e_ard_3-2-0_098071_2021-11-02_final
2021-11-05 08:45:52	ga_ls7e_ard_3-2-0_096073_2021-11-04_final
2021-11-10 09:01:56	ga_ls7e_ard_3-2-0_099068_2021-11-09_final
2021-11-12 10:33:50	ga_ls7e_ard_3-2-1_113082_2021-11-12_final
2021-11-26 09:01:10	ga_ls7e_ard_3-2-1_099070_2021-11-25_final
2021-12-12 09:04:51	ga_ls7e_ard_3-2-1_099083_2021-12-11_final
2021-12-13 08:07:33	ga_ls7e_ard_3-2-1_090079_2021-12-12_final
2021-12-30 08:51:08	ga_ls7e_ard_3-2-1_097084_2021-12-29_final
2022-01-06 10:31:53	ga_ls7e_ard_3-2-1_114075_2022-01-06_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_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