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
2000-03-05 11:45:00	ga_ls7e_ard_3-0-0_115078_2000-03-05_final
2001-12-09 11:14:17	ga_ls7e_ard_3-0-0_111073_2001-12-09_final
2001-12-16 11:20:56	ga_ls7e_ard_3-0-0_112074_2001-12-16_final
2003-01-06 11:08:37	ga_ls7e_ard_3-0-0_110075_2003-01-06_final
2003-08-30 11:33:47	ga_ls7e_ard_3-0-0_114076_2003-08-30_final
2003-09-01 11:20:36	ga_ls7e_ard_3-0-0_112074_2003-09-01_final
2003-12-22 11:21:07	ga_ls7e_ard_3-0-0_112074_2003-12-22_final
2004-04-03 11:27:42	ga_ls7e_ard_3-0-0_113074_2004-04-03_final
2004-10-26 11:39:59	ga_ls7e_ard_3-0-0_115075_2004-10-26_final
2004-11-11 11:41:20	ga_ls7e_ard_3-0-0_115078_2004-11-11_final
2006-04-07 11:42:27	ga_ls7e_ard_3-0-0_115078_2006-04-07_final
2006-11-10 11:31:42	ga_ls7e_ard_3-0-0_114067_2006-11-10_final
2006-11-10 11:36:29	ga_ls7e_ard_3-0-0_114079_2006-11-10_final
2007-03-29 11:17:01	ga_ls7e_ard_3-0-0_111075_2007-03-29_final
2007-08-16 11:42:02	ga_ls7e_ard_3-1-0_115077_2007-08-16_final
2007-10-07 11:14:57	ga_ls7e_ard_3-0-0_111072_2007-10-07_final
2007-11-22 11:28:37	ga_ls7e_ard_3-0-0_113074_2007-11-22_final
2008-03-13 11:28:35	ga_ls7e_ard_3-0-0_113074_2008-03-13_final
2009-03-18 11:16:16	ga_ls7e_ard_3-0-0_111074_2009-03-18_final
2009-10-12 11:15:46	ga_ls7e_ard_3-0-0_111073_2009-10-12_final
2010-02-08 11:24:06	ga_ls7e_ard_3-0-0_112074_2010-02-08_final
2010-04-06 11:17:30	ga_ls7e_ard_3-0-0_111072_2010-04-06_final
2010-04-06 11:17:54	ga_ls7e_ard_3-0-0_111073_2010-04-06_final
2010-10-24 11:15:34	ga_ls7e_ard_3-0-0_110082_2010-10-24_final
2010-11-05 11:39:36	ga_ls7e_ard_3-0-0_114080_2010-11-05_final
2011-11-03 11:19:28	ga_ls7e_ard_3-0-0_111074_2011-11-03_final
2011-12-21 11:19:35	ga_ls7e_ard_3-0-0_111073_2011-12-21_final
2012-01-31 11:14:45	ga_ls7e_ard_3-0-0_110076_2012-01-31_final
2012-02-21 11:29:48	ga_ls7e_ard_3-0-0_113067_2012-02-21_final
2014-05-08 11:41:52	ga_ls7e_ard_3-0-0_114074_2014-05-08_final
2015-01-26 11:51:01	ga_ls7e_ard_3-0-0_115078_2015-01-26_final
2015-08-26 11:29:31	ga_ls7e_ard_3-0-0_111083_2015-08-26_final
2015-12-14 11:39:36	ga_ls7e_ard_3-0-0_113074_2015-12-14_final
2016-01-31 11:40:15	ga_ls7e_ard_3-0-0_113074_2016-01-31_final
2016-04-13 11:34:31	ga_ls7e_ard_3-0-0_112074_2016-04-13_final
2016-05-08 11:32:28	ga_ls7e_ard_3-0-0_111084_2016-05-08_final
2016-12-30 11:53:32	ga_ls7e_ard_3-0-0_115075_2016-12-30_final
2017-07-10 11:55:28	ga_ls7e_ard_3-0-0_115079_2017-07-10_final
2017-09-05 11:49:38	ga_ls7e_ard_3-0-0_114080_2017-09-05_final
2018-03-04 11:22:03	ga_ls7e_ard_3-0-0_110076_2018-03-04_final
2018-04-28 11:25:48	ga_ls7e_ard_3-0-0_111072_2018-04-28_final
2018-09-03 11:23:52	ga_ls7e_ard_3-0-0_111073_2018-09-03_final
2018-09-10 11:33:29	ga_ls7e_ard_3-0-0_112082_2018-09-10_final
2018-11-27 11:43:38	ga_ls7e_ard_3-0-0_114081_2018-11-27_final
2018-12-08 11:19:37	ga_ls7e_ard_3-0-0_111068_2018-12-08_final
2019-03-07 11:13:55	ga_ls7e_ard_3-1-0_110076_2019-03-07_final
2019-05-17 11:15:33	ga_ls7e_ard_3-0-0_111071_2019-05-17_final
2020-02-06 11:02:11	ga_ls7e_ard_3-1-0_110082_2020-02-06_final
2020-02-25 11:30:30	ga_ls7e_ard_3-1-0_115078_2020-02-25_final
2020-06-29 10:54:21	ga_ls7e_ard_3-1-0_110083_2020-06-29_final
2020-09-17 10:46:05	ga_ls7e_ard_3-1-0_110075_2020-09-17_final
2020-10-10 10:49:36	ga_ls7e_ard_3-1-0_111072_2020-10-10_final
2020-11-23 11:12:56	ga_ls7e_ard_3-1-0_115076_2020-11-23_final
2020-12-02 09:28:02	ga_ls7e_ard_3-1-0_098078_2020-12-01_final
2020-12-06 08:58:37	ga_ls7e_ard_3-1-0_094067_2020-12-05_final
2020-12-10 10:14:05	ga_ls7e_ard_3-1-0_106071_2020-12-10_final
2020-12-13 10:46:21	ga_ls7e_ard_3-1-0_111075_2020-12-13_final
2020-12-15 10:34:14	ga_ls7e_ard_3-1-0_109076_2020-12-15_final
2020-12-16 09:39:20	ga_ls7e_ard_3-1-0_100078_2020-12-16_final
2020-12-26 10:13:41	ga_ls7e_ard_3-1-0_106073_2020-12-26_final
2020-12-26 10:14:05	ga_ls7e_ard_3-1-0_106074_2020-12-26_final
2021-01-10 09:33:46	ga_ls7e_ard_3-1-0_099084_2021-01-10_final
2021-01-27 08:36:08	ga_ls7e_ard_3-2-0_090082_2021-01-26_final
2021-02-06 10:52:10	ga_ls7e_ard_3-2-0_112084_2021-02-06_final
2021-02-07 09:55:16	ga_ls7e_ard_3-2-0_103081_2021-02-07_final
2021-02-09 09:43:34	ga_ls7e_ard_3-2-0_101083_2021-02-09_final
2021-02-24 10:34:27	ga_ls7e_ard_3-2-0_110074_2021-02-24_final
2021-02-27 09:28:14	ga_ls7e_ard_3-2-0_099079_2021-02-26_final
2021-03-11 09:48:50	ga_ls7e_ard_3-2-0_103071_2021-03-11_final
2021-04-29 10:27:39	ga_ls7e_ard_3-2-0_110070_2021-04-29_final
2021-05-01 08:43:26	ga_ls7e_ard_3-2-0_092088_2021-04-30_final
2021-05-06 10:33:39	ga_ls7e_ard_3-2-0_111071_2021-05-06_final
2021-05-15 10:26:19	ga_ls7e_ard_3-2-0_110070_2021-05-15_final
2021-05-31 10:28:56	ga_ls7e_ard_3-2-0_110080_2021-05-31_final
2021-06-15 09:41:15	ga_ls7e_ard_3-2-0_103072_2021-06-15_final
2021-06-27 10:04:11	ga_ls7e_ard_3-2-0_107070_2021-06-27_final
2021-07-02 10:24:18	ga_ls7e_ard_3-2-0_110075_2021-07-02_final
2021-07-02 10:27:06	ga_ls7e_ard_3-2-0_110082_2021-07-02_final
2021-07-23 09:06:10	ga_ls7e_ard_3-2-0_097085_2021-07-22_final
2021-07-27 08:41:54	ga_ls7e_ard_3-2-0_093087_2021-07-26_final
2021-09-11 10:23:55	ga_ls7e_ard_3-2-0_111074_2021-09-11_final
2021-10-03 09:45:16	ga_ls7e_ard_3-2-0_105075_2021-10-03_final
2021-10-08 08:28:29	ga_ls7e_ard_3-2-0_092085_2021-10-07_final
2021-10-09 09:08:28	ga_ls7e_ard_3-2-0_099077_2021-10-08_final
2021-10-12 09:35:31	ga_ls7e_ard_3-2-0_104068_2021-10-12_final
2021-10-15 10:08:32	ga_ls7e_ard_3-2-0_109074_2021-10-15_final
2021-11-07 10:11:48	ga_ls7e_ard_3-2-0_110072_2021-11-07_final
2021-11-09 08:26:21	ga_ls7e_ard_3-2-0_092087_2021-11-08_final
2021-11-09 10:00:26	ga_ls7e_ard_3-2-0_108075_2021-11-09_final
2021-11-18 08:18:06	ga_ls7e_ard_3-2-1_091084_2021-11-17_final
2021-11-26 09:01:10	ga_ls7e_ard_3-2-1_099070_2021-11-25_final
2021-12-04 09:50:16	ga_ls7e_ard_3-2-1_107071_2021-12-04_final
2021-12-22 08:02:06	ga_ls7e_ard_3-2-1_089083_2021-12-21_final
2022-01-01 08:34:10	ga_ls7e_ard_3-2-1_095073_2021-12-31_final
2022-01-26 08:26:00	ga_ls7e_ard_3-2-1_094074_2022-01-25_final
2022-01-28 09:55:30	ga_ls7e_ard_3-2-1_108082_2022-01-28_final
2022-02-07 08:51:06	ga_ls7e_ard_3-2-1_098078_2022-02-06_final
2022-02-22 08:08:20	ga_ls7e_ard_3-2-1_091083_2022-02-21_final
2022-02-24 09:31:04	ga_ls7e_ard_3-2-1_105074_2022-02-24_final
2022-03-29 10:13:55	ga_ls7e_ard_3-2-1_112081_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