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
1999-10-17 09:45:20	ga_ls7e_ard_3-0-0_095087_1999-10-17_final
1999-12-19 08:59:40	ga_ls7e_ard_3-0-0_088081_1999-12-18_final
2000-10-02 08:57:34	ga_ls7e_ard_3-0-0_088082_2000-10-01_final
2000-11-16 11:42:20	ga_ls7e_ard_3-1-0_115077_2000-11-16_final
2001-11-07 09:38:48	ga_ls7e_ard_3-0-0_095082_2001-11-07_final
2002-01-22 11:41:16	ga_ls7e_ard_3-0-0_115078_2002-01-22_final
2002-02-27 09:39:21	ga_ls7e_ard_3-0-0_095082_2002-02-27_final
2003-05-05 09:39:09	ga_ls7e_ard_3-0-0_095082_2003-05-05_final
2003-11-25 11:39:29	ga_ls7e_ard_3-0-0_115074_2003-11-25_final
2004-01-05 11:34:44	ga_ls7e_ard_3-0-0_114077_2004-01-05_final
2004-06-23 08:55:45	ga_ls7e_ard_3-0-0_088081_2004-06-22_final
2004-08-11 09:38:48	ga_ls7e_ard_3-0-0_095081_2004-08-11_final
2004-11-15 09:38:32	ga_ls7e_ard_3-0-0_095080_2004-11-15_final
2005-10-01 09:39:52	ga_ls7e_ard_3-0-0_095083_2005-10-01_final
2005-12-20 09:34:02	ga_ls7e_ard_3-0-0_095067_2005-12-20_final
2006-01-05 09:42:11	ga_ls7e_ard_3-0-0_095087_2006-01-05_final
2006-01-17 11:41:30	ga_ls7e_ard_3-0-0_115076_2006-01-17_final
2006-04-27 09:40:01	ga_ls7e_ard_3-0-0_095081_2006-04-27_final
2006-06-14 09:40:24	ga_ls7e_ard_3-0-0_095082_2006-06-14_final
2007-03-13 09:42:07	ga_ls7e_ard_3-0-0_095085_2007-03-13_final
2007-05-05 11:32:16	ga_ls7e_ard_3-0-0_114067_2007-05-05_final
2007-06-17 09:39:51	ga_ls7e_ard_3-0-0_095080_2007-06-17_final
2007-11-04 11:41:37	ga_ls7e_ard_3-0-0_115076_2007-11-04_final
2008-05-14 11:40:48	ga_ls7e_ard_3-0-0_115074_2008-05-14_final
2008-06-18 08:56:51	ga_ls7e_ard_3-0-0_088082_2008-06-17_final
2008-11-26 09:38:29	ga_ls7e_ard_3-1-0_095079_2008-11-26_final
2008-12-24 11:41:34	ga_ls7e_ard_3-1-0_115077_2008-12-24_final
2009-11-18 11:35:40	ga_ls7e_ard_3-0-0_114075_2009-11-18_final
2009-11-29 09:37:11	ga_ls7e_ard_3-0-0_095072_2009-11-29_final
2009-12-11 11:41:43	ga_ls7e_ard_3-0-0_115074_2009-12-11_final
2010-05-08 09:38:58	ga_ls7e_ard_3-1-0_095073_2010-05-08_final
2010-10-11 11:43:32	ga_ls7e_ard_3-0-0_115075_2010-10-11_final
2010-12-23 11:40:30	ga_ls7e_ard_3-0-0_114081_2010-12-23_final
2011-01-19 09:44:07	ga_ls7e_ard_3-0-0_095083_2011-01-19_final
2011-05-27 09:40:00	ga_ls7e_ard_3-0-0_095072_2011-05-27_final
2011-06-08 11:45:36	ga_ls7e_ard_3-0-0_115077_2011-06-08_final
2012-03-15 11:41:08	ga_ls7e_ard_3-0-0_114080_2012-03-15_final
2012-04-27 09:45:32	ga_ls7e_ard_3-0-0_095084_2012-04-27_final
2012-08-17 09:45:57	ga_ls7e_ard_3-0-0_095083_2012-08-17_final
2012-10-04 09:47:37	ga_ls7e_ard_3-0-0_095086_2012-10-04_final
2012-10-25 11:42:51	ga_ls7e_ard_3-0-0_114080_2012-10-25_final
2012-12-23 09:44:08	ga_ls7e_ard_3-0-0_095076_2012-12-23_final
2014-02-12 09:44:01	ga_ls7e_ard_3-0-0_095074_2014-02-12_final
2014-04-29 11:48:25	ga_ls7e_ard_3-0-0_115075_2014-04-29_final
2015-12-12 11:51:56	ga_ls7e_ard_3-0-0_115074_2015-12-12_final
2016-03-10 11:47:05	ga_ls7e_ard_3-0-0_114075_2016-03-10_final
2016-12-14 11:54:27	ga_ls7e_ard_3-1-0_115077_2016-12-14_final
2017-06-24 11:53:51	ga_ls7e_ard_3-0-0_115075_2017-06-24_final
2017-07-14 09:53:51	ga_ls7e_ard_3-0-0_095084_2017-07-14_final
2017-08-27 11:53:25	ga_ls7e_ard_3-0-0_115074_2017-08-27_final
2017-10-02 09:52:59	ga_ls7e_ard_3-0-0_095082_2017-10-02_final
2018-03-16 11:47:49	ga_ls7e_ard_3-0-0_114079_2018-03-16_final
2018-04-17 11:46:32	ga_ls7e_ard_3-0-0_114077_2018-04-17_final
2018-06-20 11:45:50	ga_ls7e_ard_3-0-0_114078_2018-06-20_final
2018-10-17 11:47:57	ga_ls7e_ard_3-0-0_115074_2018-10-17_final
2018-12-29 11:41:32	ga_ls7e_ard_3-0-0_114078_2018-12-29_final
2019-04-04 11:36:54	ga_ls7e_ard_3-0-0_114074_2019-04-04_final
2019-05-01 09:39:17	ga_ls7e_ard_3-0-0_095076_2019-05-01_final
2020-01-17 11:25:07	ga_ls7e_ard_3-1-0_114075_2020-01-17_final
2020-11-23 11:12:32	ga_ls7e_ard_3-1-0_115075_2020-11-23_final
2021-02-11 11:07:32	ga_ls7e_ard_3-2-0_115077_2021-02-11_final
2021-03-07 08:39:22	ga_ls7e_ard_3-2-0_091082_2021-03-06_final
2021-03-12 08:59:31	ga_ls7e_ard_3-2-0_094087_2021-03-11_final
2021-03-24 09:15:18	ga_ls7e_ard_3-2-0_098067_2021-03-23_final
2021-03-25 08:23:35	ga_ls7e_ard_3-2-0_089077_2021-03-24_final
2021-04-01 08:31:59	ga_ls7e_ard_3-2-0_090084_2021-03-31_final
2021-04-01 10:06:52	ga_ls7e_ard_3-2-0_106074_2021-04-01_final
2021-04-06 10:24:36	ga_ls7e_ard_3-2-0_109073_2021-04-06_final
2021-04-20 10:39:23	ga_ls7e_ard_3-2-0_111082_2021-04-20_final
2021-05-22 08:57:01	ga_ls7e_ard_3-2-0_095080_2021-05-21_final
2021-05-24 10:20:34	ga_ls7e_ard_3-2-0_109073_2021-05-24_final
2021-06-10 09:27:55	ga_ls7e_ard_3-2-0_100084_2021-06-09_final
2021-06-20 08:24:54	ga_ls7e_ard_3-2-0_090083_2021-06-19_final
2021-06-28 09:07:17	ga_ls7e_ard_3-2-0_098067_2021-06-27_final
2021-06-30 09:00:21	ga_ls7e_ard_3-2-0_096081_2021-06-29_final
2021-07-06 08:22:46	ga_ls7e_ard_3-2-0_090081_2021-07-05_final
2021-08-03 10:23:56	ga_ls7e_ard_3-2-0_110081_2021-08-03_final
2021-08-07 09:56:04	ga_ls7e_ard_3-2-0_106074_2021-08-07_final
2021-08-16 09:52:17	ga_ls7e_ard_3-2-0_105082_2021-08-16_final
2021-08-21 10:09:59	ga_ls7e_ard_3-2-0_108081_2021-08-21_final
2021-08-31 09:05:44	ga_ls7e_ard_3-2-0_098077_2021-08-30_final
2021-09-01 08:12:01	ga_ls7e_ard_3-2-0_089082_2021-08-31_final
2021-09-08 08:15:36	ga_ls7e_ard_3-2-0_090077_2021-09-07_final
2021-09-20 10:15:44	ga_ls7e_ard_3-2-0_110071_2021-09-20_final
2021-09-28 09:26:46	ga_ls7e_ard_3-2-0_102074_2021-09-27_final
2021-10-06 10:14:43	ga_ls7e_ard_3-2-0_110072_2021-10-06_final
2021-10-11 08:53:08	ga_ls7e_ard_3-2-0_097070_2021-10-10_final
2021-11-23 10:14:37	ga_ls7e_ard_3-2-1_110083_2021-11-23_final
2021-11-26 09:00:22	ga_ls7e_ard_3-2-1_099068_2021-11-25_final
2021-11-26 10:41:39	ga_ls7e_ard_3-2-1_115074_2021-11-26_final
2021-12-05 08:53:45	ga_ls7e_ard_3-2-1_098069_2021-12-04_final
2021-12-07 08:47:12	ga_ls7e_ard_3-2-1_096084_2021-12-06_final
2021-12-10 09:17:24	ga_ls7e_ard_3-2-1_101083_2021-12-09_final
2021-12-19 09:08:22	ga_ls7e_ard_3-2-1_100078_2021-12-18_final
2022-01-05 08:13:26	ga_ls7e_ard_3-2-1_091084_2022-01-04_final
2022-01-09 09:21:14	ga_ls7e_ard_3-2-1_103069_2022-01-08_final
2022-01-12 08:16:10	ga_ls7e_ard_3-2-1_092077_2022-01-11_final
2022-01-19 08:26:05	ga_ls7e_ard_3-2-1_093088_2022-01-18_final
2022-02-11 10:05:15	ga_ls7e_ard_3-2-1_110079_2022-02-11_final
2022-02-20 09:54:35	ga_ls7e_ard_3-2-1_109070_2022-02-20_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