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
1999-10-15 11:33:01	ga_ls7e_ard_3-0-0_113078_1999-10-15_final
1999-11-07 11:40:19	ga_ls7e_ard_3-0-0_114081_1999-11-07_final
1999-11-23 11:39:00	ga_ls7e_ard_3-0-0_114078_1999-11-23_final
1999-12-02 11:34:26	ga_ls7e_ard_3-0-0_113082_1999-12-02_final
2000-05-01 11:37:43	ga_ls7e_ard_3-0-0_114076_2000-05-01_final
2000-09-22 11:37:05	ga_ls7e_ard_3-0-0_114079_2000-09-22_final
2001-03-01 11:34:57	ga_ls7e_ard_3-0-0_114074_2001-03-01_final
2001-04-02 11:35:56	ga_ls7e_ard_3-0-0_114077_2001-04-02_final
2001-04-27 11:30:55	ga_ls7e_ard_3-0-0_113080_2001-04-27_final
2001-06-05 11:37:05	ga_ls7e_ard_3-0-0_114081_2001-06-05_final
2001-06-14 11:30:02	ga_ls7e_ard_3-0-0_113079_2001-06-14_final
2002-04-14 11:31:14	ga_ls7e_ard_3-0-0_113084_2002-04-14_final
2002-07-17 11:41:08	ga_ls7e_ard_3-0-0_115079_2002-07-17_final
2002-11-15 11:34:58	ga_ls7e_ard_3-0-0_114080_2002-11-15_final
2002-11-24 11:28:36	ga_ls7e_ard_3-0-0_113079_2002-11-24_final
2002-12-01 11:33:40	ga_ls7e_ard_3-0-0_114076_2002-12-01_final
2002-12-10 11:29:05	ga_ls7e_ard_3-0-0_113080_2002-12-10_final
2003-01-18 11:35:29	ga_ls7e_ard_3-0-0_114080_2003-01-18_final
2003-02-12 11:29:31	ga_ls7e_ard_3-0-0_113080_2003-02-12_final
2004-03-25 11:35:06	ga_ls7e_ard_3-0-0_114077_2004-03-25_final
2006-12-12 11:31:59	ga_ls7e_ard_3-0-0_114067_2006-12-12_final
2007-07-17 11:30:14	ga_ls7e_ard_3-0-0_113078_2007-07-17_final
2007-08-16 11:42:50	ga_ls7e_ard_3-0-0_115079_2007-08-16_final
2008-01-25 11:30:23	ga_ls7e_ard_3-0-0_113078_2008-01-25_final
2008-12-26 11:29:38	ga_ls7e_ard_3-0-0_113078_2008-12-26_final
2010-07-25 11:32:40	ga_ls7e_ard_3-0-0_113079_2010-07-25_final
2012-07-05 11:40:51	ga_ls7e_ard_3-0-0_114078_2012-07-05_final
2012-09-16 11:35:53	ga_ls7e_ard_3-0-0_113079_2012-09-16_final
2013-06-15 11:35:18	ga_ls7e_ard_3-0-0_113077_2013-06-15_final
2013-12-08 11:36:23	ga_ls7e_ard_3-0-0_113078_2013-12-08_final
2014-01-09 11:36:29	ga_ls7e_ard_3-0-0_113078_2014-01-09_final
2014-06-18 11:37:26	ga_ls7e_ard_3-0-0_113078_2014-06-18_final
2014-08-05 11:38:06	ga_ls7e_ard_3-0-0_113079_2014-08-05_final
2014-11-09 11:38:17	ga_ls7e_ard_3-0-0_113078_2014-11-09_final
2015-02-20 11:44:59	ga_ls7e_ard_3-0-0_114078_2015-02-20_final
2015-07-23 11:40:12	ga_ls7e_ard_3-0-0_113079_2015-07-23_final
2016-09-02 11:49:19	ga_ls7e_ard_3-0-0_114079_2016-09-02_final
2016-11-05 11:49:15	ga_ls7e_ard_3-0-0_114079_2016-11-05_final
2017-08-20 11:48:50	ga_ls7e_ard_3-0-0_114078_2017-08-20_final
2017-11-08 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-11-08_final
2018-09-08 11:43:30	ga_ls7e_ard_3-0-0_114076_2018-09-08_final
2019-09-20 11:27:18	ga_ls7e_ard_3-1-0_113082_2019-09-20_final
2019-09-27 11:31:58	ga_ls7e_ard_3-1-0_114079_2019-09-27_final
2020-04-15 11:15:45	ga_ls7e_ard_3-1-0_113079_2020-04-15_final
2020-09-06 11:06:09	ga_ls7e_ard_3-1-0_113077_2020-09-06_final
2020-10-24 11:05:50	ga_ls7e_ard_3-1-0_113084_2020-10-24_final
2020-11-28 09:53:50	ga_ls7e_ard_3-1-0_102080_2020-11-28_final
2020-12-30 09:51:05	ga_ls7e_ard_3-1-0_102079_2020-12-30_final
2021-01-04 10:09:17	ga_ls7e_ard_3-1-0_105079_2021-01-04_final
2021-01-21 09:12:51	ga_ls7e_ard_3-2-0_096080_2021-01-20_final
2021-01-23 08:59:33	ga_ls7e_ard_3-2-0_094078_2021-01-22_final
2021-01-27 10:13:49	ga_ls7e_ard_3-2-0_106079_2021-01-27_final
2021-01-27 10:14:13	ga_ls7e_ard_3-2-0_106080_2021-01-27_final
2021-02-15 09:03:14	ga_ls7e_ard_3-2-0_095076_2021-02-14_final
2021-03-02 09:57:19	ga_ls7e_ard_3-2-0_104075_2021-03-02_final
2021-03-09 10:04:32	ga_ls7e_ard_3-2-0_105079_2021-03-09_final
2021-03-10 09:07:39	ga_ls7e_ard_3-2-0_096076_2021-03-09_final
2021-04-13 08:53:19	ga_ls7e_ard_3-2-0_094078_2021-04-12_final
2021-04-13 08:54:55	ga_ls7e_ard_3-2-0_094082_2021-04-12_final
2021-04-27 09:06:29	ga_ls7e_ard_3-2-0_096083_2021-04-26_final
2021-05-01 10:17:55	ga_ls7e_ard_3-2-0_108077_2021-05-01_final
2021-05-10 10:11:47	ga_ls7e_ard_3-2-0_107079_2021-05-10_final
2021-05-15 10:29:30	ga_ls7e_ard_3-2-0_110078_2021-05-15_final
2021-05-19 08:26:46	ga_ls7e_ard_3-2-0_090081_2021-05-18_final
2021-05-28 09:57:06	ga_ls7e_ard_3-2-0_105077_2021-05-28_final
2021-06-11 10:06:42	ga_ls7e_ard_3-2-0_107073_2021-06-11_final
2021-06-20 10:02:59	ga_ls7e_ard_3-2-0_106081_2021-06-20_final
2021-07-01 09:41:56	ga_ls7e_ard_3-2-0_103077_2021-07-01_final
2021-07-09 10:30:17	ga_ls7e_ard_3-2-0_111076_2021-07-09_final
2021-07-09 10:31:29	ga_ls7e_ard_3-2-0_111079_2021-07-09_final
2021-07-12 09:24:03	ga_ls7e_ard_3-2-0_100081_2021-07-11_final
2021-07-15 09:51:06	ga_ls7e_ard_3-2-0_105072_2021-07-15_final
2021-07-20 08:32:44	ga_ls7e_ard_3-2-0_092078_2021-07-19_final
2021-07-26 09:34:24	ga_ls7e_ard_3-2-0_102079_2021-07-26_final
2021-07-31 09:51:42	ga_ls7e_ard_3-2-0_105077_2021-07-31_final
2021-08-09 09:43:32	ga_ls7e_ard_3-2-0_104074_2021-08-09_final
2021-08-11 09:32:36	ga_ls7e_ard_3-2-0_102078_2021-08-11_final
2021-08-17 08:56:10	ga_ls7e_ard_3-2-0_096081_2021-08-16_final
2021-08-26 08:47:37	ga_ls7e_ard_3-2-0_095077_2021-08-25_final
2021-09-06 08:30:08	ga_ls7e_ard_3-2-0_092082_2021-09-05_final
2021-09-15 08:21:33	ga_ls7e_ard_3-2-0_091078_2021-09-14_final
2021-09-16 09:03:32	ga_ls7e_ard_3-2-0_098075_2021-09-15_final
2021-09-18 10:31:28	ga_ls7e_ard_3-2-0_112079_2021-09-18_final
2021-10-06 08:33:50	ga_ls7e_ard_3-2-0_094067_2021-10-05_final
2021-10-16 09:12:50	ga_ls7e_ard_3-2-0_100074_2021-10-15_final
2021-10-19 09:45:03	ga_ls7e_ard_3-2-0_105078_2021-10-19_final
2021-10-20 08:49:20	ga_ls7e_ard_3-2-0_096078_2021-10-19_final
2021-10-24 08:26:15	ga_ls7e_ard_3-2-0_092083_2021-10-23_final
2021-10-31 10:09:04	ga_ls7e_ard_3-2-0_109079_2021-10-31_final
2021-11-14 08:41:37	ga_ls7e_ard_3-2-1_095080_2021-11-13_final
2021-12-07 10:23:17	ga_ls7e_ard_3-2-1_112077_2021-12-07_final
2021-12-09 08:31:03	ga_ls7e_ard_3-2-1_094075_2021-12-08_final
2021-12-12 09:01:16	ga_ls7e_ard_3-2-1_099074_2021-12-11_final
2021-12-19 09:09:34	ga_ls7e_ard_3-2-1_100081_2021-12-18_final
2022-02-10 09:22:05	ga_ls7e_ard_3-2-1_103079_2022-02-09_final
2022-03-04 08:41:40	ga_ls7e_ard_3-2-1_097076_2022-03-03_final
2022-03-14 09:16:56	ga_ls7e_ard_3-2-1_103074_2022-03-13_final
2022-03-15 10:02:05	ga_ls7e_ard_3-2-1_110079_2022-03-15_final
2022-03-24 09:54:39	ga_ls7e_ard_3-2-1_109078_2022-03-24_final
2022-03-25 08:56:56	ga_ls7e_ard_3-2-1_100073_2022-03-24_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