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
1999-07-26 10:48:25	ga_ls7e_ard_3-1-0_106075_1999-07-26_final
1999-11-13 11:00:50	ga_ls7e_ard_3-1-0_108075_1999-11-13_final
2001-01-03 11:42:23	ga_ls7e_ard_3-1-0_115077_2001-01-03_final
2003-04-30 10:56:42	ga_ls7e_ard_3-1-0_108075_2003-04-30_final
2003-05-12 11:22:12	ga_ls7e_ard_3-1-0_112077_2003-05-12_final
2003-09-21 10:56:09	ga_ls7e_ard_3-1-0_108075_2003-09-21_final
2004-07-03 11:12:54	ga_ls7e_ard_3-1-0_110084_2004-07-03_final
2004-12-29 11:41:20	ga_ls7e_ard_3-1-0_115077_2004-12-29_final
2005-01-24 09:05:30	ga_ls7e_ard_3-1-0_089089_2005-01-23_final
2005-03-07 11:18:58	ga_ls7e_ard_3-1-0_111082_2005-03-07_final
2005-11-07 09:57:33	ga_ls7e_ard_3-1-0_098080_2005-11-07_final
2006-04-19 10:25:02	ga_ls7e_ard_3-1-0_103070_2006-04-19_final
2006-07-10 10:17:42	ga_ls7e_ard_3-1-0_101083_2006-07-10_final
2006-10-25 09:57:46	ga_ls7e_ard_3-1-0_098080_2006-10-25_final
2007-01-10 09:30:39	ga_ls7e_ard_3-1-0_093088_2007-01-10_final
2007-01-29 09:58:27	ga_ls7e_ard_3-1-0_098080_2007-01-29_final
2007-10-20 10:45:26	ga_ls7e_ard_3-1-0_106075_2007-10-20_final
2008-12-28 11:18:53	ga_ls7e_ard_3-1-0_111082_2008-12-28_final
2009-07-04 11:42:22	ga_ls7e_ard_3-1-0_115077_2009-07-04_final
2009-09-22 11:42:09	ga_ls7e_ard_3-1-0_115077_2009-09-22_final
2010-02-14 10:47:29	ga_ls7e_ard_3-1-0_106075_2010-02-14_final
2010-03-07 11:08:36	ga_ls7e_ard_3-1-0_109081_2010-03-07_final
2010-03-21 09:38:58	ga_ls7e_ard_3-1-0_095073_2010-03-21_final
2012-06-27 09:16:23	ga_ls7e_ard_3-1-0_090088_2012-06-26_final
2013-03-08 11:04:05	ga_ls7e_ard_3-1-0_108075_2013-03-08_final
2013-10-09 09:35:58	ga_ls7e_ard_3-1-0_093087_2013-10-09_final
2014-01-06 11:04:23	ga_ls7e_ard_3-1-0_108075_2014-01-06_final
2014-01-08 10:52:01	ga_ls7e_ard_3-1-0_106075_2014-01-08_final
2014-07-18 11:49:32	ga_ls7e_ard_3-1-0_115077_2014-07-18_final
2014-11-24 10:53:52	ga_ls7e_ard_3-1-0_106075_2014-11-24_final
2014-12-10 10:53:59	ga_ls7e_ard_3-1-0_106075_2014-12-10_final
2015-01-30 11:27:56	ga_ls7e_ard_3-1-0_111082_2015-01-30_final
2015-03-16 10:54:33	ga_ls7e_ard_3-1-0_106075_2015-03-16_final
2016-02-15 10:57:27	ga_ls7e_ard_3-1-0_106075_2016-02-15_final
2016-11-29 10:58:06	ga_ls7e_ard_3-1-0_106075_2016-11-29_final
2017-06-24 11:54:39	ga_ls7e_ard_3-1-0_115077_2017-06-24_final
2017-09-13 10:58:10	ga_ls7e_ard_3-1-0_106075_2017-09-13_final
2017-09-29 10:58:11	ga_ls7e_ard_3-1-0_106075_2017-09-29_final
2018-01-01 11:10:07	ga_ls7e_ard_3-1-0_108075_2018-01-01_final
2018-03-20 11:20:15	ga_ls7e_ard_3-1-0_110072_2018-03-20_final
2018-04-17 10:08:51	ga_ls7e_ard_3-1-0_098080_2018-04-17_final
2019-02-24 09:55:31	ga_ls7e_ard_3-1-0_097080_2019-02-24_final
2019-02-28 09:33:52	ga_ls7e_ard_3-1-0_093088_2019-02-28_final
2019-03-07 11:13:31	ga_ls7e_ard_3-1-0_110075_2019-03-07_final
2019-03-11 10:46:16	ga_ls7e_ard_3-1-0_106069_2019-03-11_final
2019-03-16 11:05:03	ga_ls7e_ard_3-1-0_109070_2019-03-16_final
2019-03-18 10:54:13	ga_ls7e_ard_3-1-0_107074_2019-03-18_final
2019-03-19 11:39:02	ga_ls7e_ard_3-1-0_114078_2019-03-19_final
2019-03-23 09:37:18	ga_ls7e_ard_3-1-0_094083_2019-03-23_final
2019-03-23 11:11:24	ga_ls7e_ard_3-1-0_110071_2019-03-23_final
2019-03-23 11:16:35	ga_ls7e_ard_3-1-0_110084_2019-03-23_final
2019-03-29 10:34:54	ga_ls7e_ard_3-1-0_104073_2019-03-29_final
2019-05-13 11:42:50	ga_ls7e_ard_3-1-0_115077_2019-05-13_final
2019-06-02 09:36:53	ga_ls7e_ard_3-1-0_095073_2019-06-02_final
2019-06-30 11:41:04	ga_ls7e_ard_3-1-0_115077_2019-06-30_final
2019-09-03 10:42:00	ga_ls7e_ard_3-1-0_106075_2019-09-03_final
2019-09-15 11:06:11	ga_ls7e_ard_3-1-0_110075_2019-09-15_final
2019-09-24 10:59:36	ga_ls7e_ard_3-1-0_109075_2019-09-24_final
2019-10-01 09:31:00	ga_ls7e_ard_3-1-0_094086_2019-10-01_final
2019-10-04 10:00:59	ga_ls7e_ard_3-1-0_099084_2019-10-04_final
2019-10-06 11:26:14	ga_ls7e_ard_3-1-0_113081_2019-10-06_final
2019-10-10 10:59:21	ga_ls7e_ard_3-1-0_109076_2019-10-10_final
2019-10-15 11:19:40	ga_ls7e_ard_3-1-0_112081_2019-10-15_final
2019-10-22 11:26:45	ga_ls7e_ard_3-1-0_113084_2019-10-22_final
2019-11-07 11:22:51	ga_ls7e_ard_3-1-0_113076_2019-11-07_final
2019-11-24 10:24:02	ga_ls7e_ard_3-1-0_104070_2019-11-24_final
2019-11-29 10:43:56	ga_ls7e_ard_3-1-0_107074_2019-11-29_final
2019-12-20 11:03:01	ga_ls7e_ard_3-1-0_110078_2019-12-20_final
2019-12-24 09:00:49	ga_ls7e_ard_3-1-0_090082_2019-12-23_final
2019-12-27 11:07:39	ga_ls7e_ard_3-1-0_111075_2019-12-27_final
2019-12-28 10:12:46	ga_ls7e_ard_3-1-0_102077_2019-12-28_final
2020-01-03 09:37:22	ga_ls7e_ard_3-1-0_096082_2020-01-03_final
2020-01-06 10:04:31	ga_ls7e_ard_3-1-0_101073_2020-01-06_final
2020-01-08 09:52:03	ga_ls7e_ard_3-1-0_099073_2020-01-08_final
2020-01-09 10:37:16	ga_ls7e_ard_3-1-0_106078_2020-01-09_final
2020-01-12 09:32:20	ga_ls7e_ard_3-1-0_095086_2020-01-12_final
2020-01-19 11:13:51	ga_ls7e_ard_3-1-0_112078_2020-01-19_final
2020-01-23 09:12:03	ga_ls7e_ard_3-1-0_092083_2020-01-22_final
2020-01-25 10:33:41	ga_ls7e_ard_3-1-0_106071_2020-01-25_final
2020-02-02 09:49:02	ga_ls7e_ard_3-1-0_098084_2020-02-02_final
2020-02-08 10:49:20	ga_ls7e_ard_3-1-0_108081_2020-02-08_final
2020-02-10 10:35:16	ga_ls7e_ard_3-1-0_106077_2020-02-10_final
2020-02-16 09:57:29	ga_ls7e_ard_3-1-0_100076_2020-02-16_final
2020-03-12 11:28:50	ga_ls7e_ard_3-1-0_115076_2020-03-12_final
2020-03-13 08:55:29	ga_ls7e_ard_3-1-0_090079_2020-03-12_final
2020-03-17 10:05:26	ga_ls7e_ard_3-1-0_102069_2020-03-17_final
2020-03-21 09:44:53	ga_ls7e_ard_3-1-0_098080_2020-03-21_final
2020-03-28 09:51:52	ga_ls7e_ard_3-1-0_099083_2020-03-28_final
2020-04-03 09:16:03	ga_ls7e_ard_3-1-0_093087_2020-04-02_final
2020-04-10 09:21:01	ga_ls7e_ard_3-1-0_094085_2020-04-09_final
2020-04-15 11:17:21	ga_ls7e_ard_3-1-0_113083_2020-04-15_final
2020-04-19 09:15:31	ga_ls7e_ard_3-1-0_093088_2020-04-18_final
2021-02-24 10:36:03	ga_ls7e_ard_3-2-0_110078_2021-02-24_final
2022-03-13 08:33:23	ga_ls7e_ard_3-2-1_096073_2022-03-12_final
2022-03-25 08:58:08	ga_ls7e_ard_3-2-1_100076_2022-03-24_final
2022-03-27 10:25:16	ga_ls7e_ard_3-2-1_114078_2022-03-27_final
2022-03-27 10:25:40	ga_ls7e_ard_3-2-1_114079_2022-03-27_final
2022-04-03 10:29:34	ga_ls7e_ard_3-2-1_115075_2022-04-03_final
2022-04-05 08:40:08	ga_ls7e_ard_3-2-1_097080_2022-04-04_final
2022-04-05 10:19:48	ga_ls7e_ard_3-2-1_113082_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