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
1999-10-01 09:43:01	ga_ls7e_ard_3-0-0_095081_1999-10-01_final
2000-10-19 09:36:59	ga_ls7e_ard_3-1-0_095073_2000-10-19_final
2002-08-06 09:38:58	ga_ls7e_ard_3-0-0_095083_2002-08-06_final
2003-08-09 09:38:47	ga_ls7e_ard_3-0-0_095082_2003-08-09_final
2004-01-21 11:36:02	ga_ls7e_ard_3-0-0_114080_2004-01-21_final
2004-07-10 09:40:35	ga_ls7e_ard_3-0-0_095085_2004-07-10_final
2004-10-10 11:40:31	ga_ls7e_ard_3-1-0_115077_2004-10-10_final
2005-02-19 09:40:25	ga_ls7e_ard_3-0-0_095083_2005-02-19_final
2005-03-23 09:39:41	ga_ls7e_ard_3-0-0_095081_2005-03-23_final
2005-06-27 09:40:59	ga_ls7e_ard_3-0-0_095085_2005-06-27_final
2005-08-14 09:39:20	ga_ls7e_ard_3-0-0_095081_2005-08-14_final
2005-11-02 09:36:33	ga_ls7e_ard_3-0-0_095074_2005-11-02_final
2005-11-02 09:41:45	ga_ls7e_ard_3-0-0_095087_2005-11-02_final
2006-01-05 09:37:23	ga_ls7e_ard_3-0-0_095075_2006-01-05_final
2006-03-22 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-03-22_final
2006-06-30 09:40:18	ga_ls7e_ard_3-0-0_095082_2006-06-30_final
2006-08-01 09:39:17	ga_ls7e_ard_3-0-0_095080_2006-08-01_final
2007-01-24 09:40:40	ga_ls7e_ard_3-0-0_095082_2007-01-24_final
2007-12-10 09:38:17	ga_ls7e_ard_3-0-0_095076_2007-12-10_final
2008-01-27 09:41:32	ga_ls7e_ard_3-0-0_095084_2008-01-27_final
2009-01-29 09:37:46	ga_ls7e_ard_3-0-0_095076_2009-01-29_final
2009-05-17 11:43:14	ga_ls7e_ard_3-0-0_115079_2009-05-17_final
2009-10-12 09:39:40	ga_ls7e_ard_3-0-0_095080_2009-10-12_final
2009-12-31 09:43:16	ga_ls7e_ard_3-0-0_095086_2009-12-31_final
2010-03-26 11:39:12	ga_ls7e_ard_3-0-0_114080_2010-03-26_final
2011-02-04 09:44:36	ga_ls7e_ard_3-0-0_095084_2011-02-04_final
2011-10-02 09:40:04	ga_ls7e_ard_3-1-0_095073_2011-10-02_final
2012-07-16 09:45:35	ga_ls7e_ard_3-0-0_095083_2012-07-16_final
2012-09-14 11:47:02	ga_ls7e_ard_3-0-0_115076_2012-09-14_final
2013-01-04 11:47:46	ga_ls7e_ard_3-0-0_115076_2013-01-04_final
2013-05-16 09:42:17	ga_ls7e_ard_3-0-0_095072_2013-05-16_final
2014-03-16 09:46:52	ga_ls7e_ard_3-0-0_095081_2014-03-16_final
2014-12-09 11:50:24	ga_ls7e_ard_3-1-0_115077_2014-12-09_final
2014-12-13 09:48:50	ga_ls7e_ard_3-0-0_095082_2014-12-13_final
2015-01-03 11:45:33	ga_ls7e_ard_3-0-0_114080_2015-01-03_final
2015-03-24 11:46:28	ga_ls7e_ard_3-0-0_114081_2015-03-24_final
2015-04-04 09:46:43	ga_ls7e_ard_3-0-0_095075_2015-04-04_final
2015-05-06 09:50:55	ga_ls7e_ard_3-0-0_095085_2015-05-06_final
2017-07-26 11:55:03	ga_ls7e_ard_3-0-0_115078_2017-07-26_final
2017-10-30 11:54:14	ga_ls7e_ard_3-0-0_115076_2017-10-30_final
2018-01-06 09:46:30	ga_ls7e_ard_3-0-0_095067_2018-01-06_final
2018-05-19 11:47:11	ga_ls7e_ard_3-0-0_114080_2018-05-19_final
2018-08-02 09:51:12	ga_ls7e_ard_3-0-0_095087_2018-08-02_final
2018-08-18 09:49:18	ga_ls7e_ard_3-0-0_095083_2018-08-18_final
2019-01-09 09:45:23	ga_ls7e_ard_3-0-0_095082_2019-01-09_final
2019-04-15 09:44:16	ga_ls7e_ard_3-0-0_095087_2019-04-15_final
2019-05-01 09:35:42	ga_ls7e_ard_3-0-0_095067_2019-05-01_final
2019-08-10 11:34:27	ga_ls7e_ard_3-0-0_114080_2019-08-10_final
2019-11-25 09:29:58	ga_ls7e_ard_3-1-0_095074_2019-11-24_final
2019-12-23 11:32:34	ga_ls7e_ard_3-1-0_115075_2019-12-23_final
2020-01-24 11:31:45	ga_ls7e_ard_3-1-0_115077_2020-01-24_final
2020-03-28 11:27:09	ga_ls7e_ard_3-1-0_115074_2020-03-28_final
2020-06-20 09:22:59	ga_ls7e_ard_3-1-0_095085_2020-06-19_final
2020-09-13 11:13:04	ga_ls7e_ard_3-1-0_114080_2020-09-13_final
2021-02-11 09:27:04	ga_ls7e_ard_3-2-0_099073_2021-02-10_final
2021-02-16 09:45:13	ga_ls7e_ard_3-2-0_102073_2021-02-16_final
2021-02-17 10:32:00	ga_ls7e_ard_3-2-0_109082_2021-02-17_final
2021-03-02 09:56:31	ga_ls7e_ard_3-2-0_104073_2021-03-02_final
2021-03-07 10:15:04	ga_ls7e_ard_3-2-0_107074_2021-03-07_final
2021-03-07 10:17:51	ga_ls7e_ard_3-2-0_107081_2021-03-07_final
2021-03-10 09:05:39	ga_ls7e_ard_3-2-0_096071_2021-03-09_final
2021-03-19 09:00:45	ga_ls7e_ard_3-2-0_095076_2021-03-18_final
2021-03-30 08:43:19	ga_ls7e_ard_3-2-0_092081_2021-03-29_final
2021-04-03 09:57:33	ga_ls7e_ard_3-2-0_104082_2021-04-03_final
2021-04-06 10:24:36	ga_ls7e_ard_3-2-0_109073_2021-04-06_final
2021-04-11 09:03:03	ga_ls7e_ard_3-2-0_096071_2021-04-10_final
2021-04-11 09:04:39	ga_ls7e_ard_3-2-0_096075_2021-04-10_final
2021-04-15 08:41:59	ga_ls7e_ard_3-2-0_092081_2021-04-14_final
2021-04-24 08:37:02	ga_ls7e_ard_3-2-0_091086_2021-04-23_final
2021-04-27 09:07:17	ga_ls7e_ard_3-2-0_096085_2021-04-26_final
2021-05-02 09:21:25	ga_ls7e_ard_3-2-0_099075_2021-05-01_final
2021-05-03 08:28:54	ga_ls7e_ard_3-2-0_090083_2021-05-02_final
2021-05-11 09:12:53	ga_ls7e_ard_3-2-0_098071_2021-05-10_final
2021-05-20 09:10:20	ga_ls7e_ard_3-2-0_097082_2021-05-19_final
2021-06-07 10:34:56	ga_ls7e_ard_3-2-0_111081_2021-06-07_final
2021-06-21 10:46:33	ga_ls7e_ard_3-2-0_113082_2021-06-21_final
2021-06-28 09:09:17	ga_ls7e_ard_3-2-0_098072_2021-06-27_final
2021-06-28 09:09:41	ga_ls7e_ard_3-2-0_098073_2021-06-27_final
2021-07-17 09:39:46	ga_ls7e_ard_3-2-0_103075_2021-07-17_final
2021-08-26 08:50:01	ga_ls7e_ard_3-2-0_095083_2021-08-25_final
2021-09-08 09:53:17	ga_ls7e_ard_3-2-0_106074_2021-09-08_final
2021-09-19 09:33:46	ga_ls7e_ard_3-2-0_103074_2021-09-19_final
2021-10-17 08:19:07	ga_ls7e_ard_3-2-0_091079_2021-10-16_final
2021-10-24 08:24:39	ga_ls7e_ard_3-2-0_092079_2021-10-23_final
2021-10-28 09:34:51	ga_ls7e_ard_3-2-0_104070_2021-10-28_final
2021-11-13 09:32:56	ga_ls7e_ard_3-2-1_104069_2021-11-13_final
2021-11-16 10:03:56	ga_ls7e_ard_3-2-1_109070_2021-11-16_final
2021-11-29 09:35:47	ga_ls7e_ard_3-2-1_104080_2021-11-29_final
2021-11-30 08:41:16	ga_ls7e_ard_3-2-1_095083_2021-11-29_final
2021-12-11 09:55:47	ga_ls7e_ard_3-2-1_108071_2021-12-11_final
2021-12-13 09:45:38	ga_ls7e_ard_3-2-1_106077_2021-12-13_final
2021-12-21 08:55:01	ga_ls7e_ard_3-2-1_098076_2021-12-20_final
2021-12-27 09:55:25	ga_ls7e_ard_3-2-1_108074_2021-12-27_final
2022-01-12 08:15:46	ga_ls7e_ard_3-2-1_092076_2022-01-11_final
2022-01-17 08:33:03	ga_ls7e_ard_3-2-1_095074_2022-01-16_final
2022-02-11 10:04:03	ga_ls7e_ard_3-2-1_110076_2022-02-11_final
2022-02-15 09:38:06	ga_ls7e_ard_3-2-1_106074_2022-02-15_final
2022-02-23 08:49:06	ga_ls7e_ard_3-2-1_098077_2022-02-22_final
2022-02-25 08:39:45	ga_ls7e_ard_3-2-1_096085_2022-02-24_final
2022-04-06 09:20:53	ga_ls7e_ard_3-2-1_104074_2022-04-05_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