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
2000-01-01 11:45:12	ga_ls7e_ard_3-0-0_115078_2000-01-01_final
2000-10-15 11:42:30	ga_ls7e_ard_3-0-0_115078_2000-10-15_final
2000-10-31 11:42:46	ga_ls7e_ard_3-0-0_115078_2000-10-31_final
2001-09-09 11:35:12	ga_ls7e_ard_3-0-0_114079_2001-09-09_final
2002-03-11 11:41:19	ga_ls7e_ard_3-0-0_115078_2002-03-11_final
2002-09-19 11:40:10	ga_ls7e_ard_3-0-0_115078_2002-09-19_final
2003-05-10 11:33:22	ga_ls7e_ard_3-0-0_114074_2003-05-10_final
2003-08-05 11:39:35	ga_ls7e_ard_3-0-0_115075_2003-08-05_final
2003-12-29 11:30:32	ga_ls7e_ard_3-0-0_113082_2003-12-29_final
2004-06-04 11:39:55	ga_ls7e_ard_3-0-0_115074_2004-06-04_final
2004-12-22 11:34:18	ga_ls7e_ard_3-0-0_114075_2004-12-22_final
2005-08-19 11:36:43	ga_ls7e_ard_3-0-0_114081_2005-08-19_final
2005-10-13 11:40:18	ga_ls7e_ard_3-0-0_115075_2005-10-13_final
2006-06-26 11:41:08	ga_ls7e_ard_3-0-0_115075_2006-06-26_final
2006-09-07 11:34:37	ga_ls7e_ard_3-0-0_114075_2006-09-07_final
2006-09-30 11:41:26	ga_ls7e_ard_3-1-0_115077_2006-09-30_final
2006-12-03 11:40:54	ga_ls7e_ard_3-0-0_115074_2006-12-03_final
2006-12-03 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-12-03_final
2008-03-29 11:31:47	ga_ls7e_ard_3-0-0_113082_2008-03-29_final
2008-06-08 11:36:50	ga_ls7e_ard_3-0-0_114080_2008-06-08_final
2008-10-23 11:30:27	ga_ls7e_ard_3-0-0_113082_2008-10-23_final
2009-04-08 11:37:20	ga_ls7e_ard_3-0-0_114080_2009-04-08_final
2009-09-22 11:40:57	ga_ls7e_ard_3-0-0_115074_2009-09-22_final
2009-11-11 11:31:00	ga_ls7e_ard_3-0-0_113079_2009-11-11_final
2010-02-06 11:38:50	ga_ls7e_ard_3-0-0_114080_2010-02-06_final
2011-11-01 11:35:00	ga_ls7e_ard_3-0-0_113082_2011-11-01_final
2012-06-26 11:45:18	ga_ls7e_ard_3-0-0_115074_2012-06-26_final
2012-07-14 11:36:48	ga_ls7e_ard_3-0-0_113083_2012-07-14_final
2012-10-16 11:48:32	ga_ls7e_ard_3-0-0_115079_2012-10-16_final
2013-11-20 11:47:23	ga_ls7e_ard_3-0-0_115075_2013-11-20_final
2014-04-29 11:48:01	ga_ls7e_ard_3-0-0_115074_2014-04-29_final
2014-06-09 11:42:02	ga_ls7e_ard_3-0-0_114074_2014-06-09_final
2014-07-02 11:49:31	ga_ls7e_ard_3-1-0_115077_2014-07-02_final
2014-10-24 11:40:08	ga_ls7e_ard_3-0-0_113083_2014-10-24_final
2016-07-07 11:54:58	ga_ls7e_ard_3-0-0_115078_2016-07-07_final
2016-08-08 11:55:01	ga_ls7e_ard_3-0-0_115078_2016-08-08_final
2016-10-20 11:47:21	ga_ls7e_ard_3-0-0_114074_2016-10-20_final
2018-08-30 11:49:05	ga_ls7e_ard_3-0-0_115074_2018-08-30_final
2019-09-18 11:37:21	ga_ls7e_ard_3-1-0_115076_2019-09-18_final
2019-11-14 11:30:42	ga_ls7e_ard_3-1-0_114081_2019-11-14_final
2020-01-26 11:18:53	ga_ls7e_ard_3-1-0_113076_2020-01-26_final
2020-02-02 11:25:07	ga_ls7e_ard_3-1-0_114077_2020-02-02_final
2020-03-28 11:28:45	ga_ls7e_ard_3-1-0_115078_2020-03-28_final
2020-06-02 11:13:40	ga_ls7e_ard_3-1-0_113081_2020-06-02_final
2020-11-16 11:09:15	ga_ls7e_ard_3-1-0_114081_2020-11-16_final
2020-12-02 11:06:30	ga_ls7e_ard_3-1-0_114077_2020-12-02_final
2021-01-10 09:31:47	ga_ls7e_ard_3-1-0_099079_2021-01-10_final
2021-01-10 11:10:16	ga_ls7e_ard_3-1-0_115078_2021-01-10_final
2021-01-13 10:00:04	ga_ls7e_ard_3-1-0_104073_2021-01-13_final
2021-01-16 10:33:57	ga_ls7e_ard_3-1-0_109081_2021-01-16_final
2021-01-25 10:25:08	ga_ls7e_ard_3-2-0_108076_2021-01-25_final
2021-01-28 10:57:48	ga_ls7e_ard_3-2-0_113081_2021-01-28_final
2021-02-08 10:34:28	ga_ls7e_ard_3-2-0_110071_2021-02-08_final
2021-02-13 10:53:50	ga_ls7e_ard_3-2-0_113074_2021-02-13_final
2021-02-19 08:41:24	ga_ls7e_ard_3-2-0_091084_2021-02-18_final
2021-03-09 08:28:27	ga_ls7e_ard_3-2-0_089086_2021-03-08_final
2021-03-15 11:04:16	ga_ls7e_ard_3-2-0_115075_2021-03-15_final
2021-04-10 08:25:52	ga_ls7e_ard_3-2-0_089086_2021-04-09_final
2021-04-13 08:48:56	ga_ls7e_ard_3-2-0_094067_2021-04-12_final
2021-04-17 08:31:03	ga_ls7e_ard_3-2-0_090085_2021-04-16_final
2021-04-27 10:45:46	ga_ls7e_ard_3-2-0_112084_2021-04-27_final
2021-05-01 08:43:50	ga_ls7e_ard_3-2-0_092089_2021-04-30_final
2021-06-02 08:40:43	ga_ls7e_ard_3-2-0_092088_2021-06-01_final
2021-06-19 09:20:36	ga_ls7e_ard_3-2-0_099083_2021-06-18_final
2021-06-20 08:23:18	ga_ls7e_ard_3-2-0_090079_2021-06-19_final
2021-06-29 08:16:46	ga_ls7e_ard_3-2-0_089080_2021-06-28_final
2021-07-14 09:07:08	ga_ls7e_ard_3-2-0_098070_2021-07-13_final
2021-07-20 10:08:49	ga_ls7e_ard_3-2-0_108071_2021-07-20_final
2021-08-14 10:05:13	ga_ls7e_ard_3-2-0_107083_2021-08-14_final
2021-08-30 09:58:39	ga_ls7e_ard_3-2-0_107070_2021-08-30_final
2021-09-01 09:50:30	ga_ls7e_ard_3-2-0_105081_2021-09-01_final
2021-09-02 08:50:24	ga_ls7e_ard_3-2-0_096070_2021-09-01_final
2021-09-13 10:15:22	ga_ls7e_ard_3-2-0_109084_2021-09-13_final
2021-09-23 09:07:05	ga_ls7e_ard_3-2-0_099070_2021-09-22_final
2021-09-25 08:58:08	ga_ls7e_ard_3-2-0_097079_2021-09-24_final
2021-10-01 08:22:31	ga_ls7e_ard_3-2-0_091084_2021-09-30_final
2021-10-01 09:56:12	ga_ls7e_ard_3-2-0_107071_2021-10-01_final
2021-10-09 10:46:57	ga_ls7e_ard_3-2-0_115076_2021-10-09_final
2021-10-13 10:20:16	ga_ls7e_ard_3-2-0_111072_2021-10-13_final
2021-10-20 08:46:09	ga_ls7e_ard_3-2-0_096070_2021-10-19_final
2021-10-31 08:33:23	ga_ls7e_ard_3-2-0_093087_2021-10-30_final
2021-11-25 10:02:04	ga_ls7e_ard_3-2-1_108083_2021-11-25_final
2021-11-28 08:54:13	ga_ls7e_ard_3-2-1_097084_2021-11-27_final
2021-12-02 10:02:49	ga_ls7e_ard_3-2-1_109071_2021-12-02_final
2021-12-04 08:18:58	ga_ls7e_ard_3-2-1_091090_2021-12-03_final
2021-12-13 09:43:38	ga_ls7e_ard_3-2-1_106072_2021-12-13_final
2021-12-28 09:00:30	ga_ls7e_ard_3-2-1_099076_2021-12-27_final
2021-12-29 09:41:40	ga_ls7e_ard_3-2-1_106071_2021-12-29_final
2021-12-30 08:45:33	ga_ls7e_ard_3-2-1_097070_2021-12-29_final
2022-01-03 10:01:41	ga_ls7e_ard_3-2-1_109076_2022-01-03_final
2022-01-12 09:53:51	ga_ls7e_ard_3-2-1_108074_2022-01-12_final
2022-01-21 09:50:48	ga_ls7e_ard_3-2-1_107084_2022-01-21_final
2022-01-26 10:05:40	ga_ls7e_ard_3-2-1_110076_2022-01-26_final
2022-01-29 09:00:11	ga_ls7e_ard_3-2-1_099083_2022-01-28_final
2022-02-06 08:11:08	ga_ls7e_ard_3-2-1_091086_2022-02-05_final
2022-02-09 10:16:13	ga_ls7e_ard_3-2-1_112075_2022-02-09_final
2022-02-26 09:21:43	ga_ls7e_ard_3-2-1_103082_2022-02-25_final
2022-03-25 08:57:20	ga_ls7e_ard_3-2-1_100074_2022-03-24_final
2022-03-29 10:14:43	ga_ls7e_ard_3-2-1_112083_2022-03-29_final
2022-04-04 09:35:51	ga_ls7e_ard_3-2-1_106080_2022-04-04_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