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
1999-12-20 09:44:55	ga_ls7e_ard_3-0-0_095086_1999-12-20_final
2000-01-21 09:42:47	ga_ls7e_ard_3-0-0_095081_2000-01-21_final
2001-01-23 09:40:07	ga_ls7e_ard_3-0-0_095080_2001-01-23_final
2001-06-16 09:39:10	ga_ls7e_ard_3-0-0_095080_2001-06-16_final
2002-09-07 09:40:22	ga_ls7e_ard_3-0-0_095087_2002-09-07_final
2003-05-05 09:40:21	ga_ls7e_ard_3-0-0_095085_2003-05-05_final
2004-04-21 09:38:42	ga_ls7e_ard_3-0-0_095080_2004-04-21_final
2005-03-07 09:41:17	ga_ls7e_ard_3-0-0_095085_2005-03-07_final
2006-05-29 09:40:51	ga_ls7e_ard_3-0-0_095083_2006-05-29_final
2007-01-08 09:39:25	ga_ls7e_ard_3-1-0_095079_2007-01-08_final
2007-08-04 09:39:42	ga_ls7e_ard_3-0-0_095080_2007-08-04_final
2007-09-21 09:39:23	ga_ls7e_ard_3-0-0_095080_2007-09-21_final
2008-01-27 09:39:56	ga_ls7e_ard_3-0-0_095080_2008-01-27_final
2008-01-27 09:40:44	ga_ls7e_ard_3-0-0_095082_2008-01-27_final
2008-07-21 09:38:55	ga_ls7e_ard_3-0-0_095080_2008-07-21_final
2011-04-25 09:42:48	ga_ls7e_ard_3-1-0_095079_2011-04-25_final
2011-08-31 09:42:10	ga_ls7e_ard_3-0-0_095078_2011-08-31_final
2012-04-27 09:43:57	ga_ls7e_ard_3-0-0_095080_2012-04-27_final
2013-01-08 09:45:21	ga_ls7e_ard_3-1-0_095079_2013-01-08_final
2013-09-05 09:44:20	ga_ls7e_ard_3-0-0_095078_2013-09-05_final
2013-10-23 09:44:51	ga_ls7e_ard_3-0-0_095078_2013-10-23_final
2013-11-24 09:45:02	ga_ls7e_ard_3-0-0_095078_2013-11-24_final
2014-01-11 09:46:04	ga_ls7e_ard_3-0-0_095080_2014-01-11_final
2014-06-04 09:47:00	ga_ls7e_ard_3-0-0_095080_2014-06-04_final
2015-12-16 09:51:11	ga_ls7e_ard_3-0-0_095081_2015-12-16_final
2016-04-22 09:52:19	ga_ls7e_ard_3-0-0_095081_2016-04-22_final
2016-05-24 09:53:38	ga_ls7e_ard_3-0-0_095084_2016-05-24_final
2016-07-27 09:52:36	ga_ls7e_ard_3-0-0_095081_2016-07-27_final
2017-01-03 09:51:52	ga_ls7e_ard_3-0-0_095080_2017-01-03_final
2018-03-27 09:51:02	ga_ls7e_ard_3-0-0_095081_2018-03-27_final
2018-08-02 09:48:49	ga_ls7e_ard_3-0-0_095081_2018-08-02_final
2019-05-17 09:40:16	ga_ls7e_ard_3-0-0_095080_2019-05-17_final
2020-02-13 09:27:32	ga_ls7e_ard_3-1-0_095078_2020-02-12_final
2020-04-17 09:24:48	ga_ls7e_ard_3-1-0_095080_2020-04-16_final
2021-02-24 10:36:03	ga_ls7e_ard_3-2-0_110078_2021-02-24_final
2021-03-08 09:19:22	ga_ls7e_ard_3-2-0_098074_2021-03-07_final
2021-03-10 09:07:15	ga_ls7e_ard_3-2-0_096075_2021-03-09_final
2021-03-17 10:51:45	ga_ls7e_ard_3-2-0_113075_2021-03-17_final
2021-03-21 10:27:54	ga_ls7e_ard_3-2-0_109078_2021-03-21_final
2021-03-31 09:23:42	ga_ls7e_ard_3-2-0_099074_2021-03-30_final
2021-04-02 10:50:27	ga_ls7e_ard_3-2-0_113075_2021-04-02_final
2021-04-04 10:39:55	ga_ls7e_ard_3-2-0_111080_2021-04-04_final
2021-04-10 10:02:45	ga_ls7e_ard_3-2-0_105081_2021-04-10_final
2021-04-18 09:10:38	ga_ls7e_ard_3-2-0_097076_2021-04-17_final
2021-04-20 08:58:30	ga_ls7e_ard_3-2-0_095077_2021-04-19_final
2021-04-28 09:47:40	ga_ls7e_ard_3-2-0_103078_2021-04-28_final
2021-05-04 10:47:46	ga_ls7e_ard_3-2-0_113075_2021-05-04_final
2021-05-09 09:26:13	ga_ls7e_ard_3-2-0_100073_2021-05-08_final
2021-05-15 10:29:54	ga_ls7e_ard_3-2-0_110079_2021-05-15_final
2021-05-17 08:40:06	ga_ls7e_ard_3-2-0_092083_2021-05-16_final
2021-05-19 08:27:10	ga_ls7e_ard_3-2-0_090082_2021-05-18_final
2021-05-20 10:47:37	ga_ls7e_ard_3-2-0_113078_2021-05-20_final
2021-05-29 09:00:35	ga_ls7e_ard_3-2-0_096075_2021-05-28_final
2021-06-06 09:50:10	ga_ls7e_ard_3-2-0_104077_2021-06-06_final
2021-06-26 09:23:00	ga_ls7e_ard_3-2-0_100075_2021-06-25_final
2021-06-30 09:01:09	ga_ls7e_ard_3-2-0_096083_2021-06-29_final
2021-07-09 08:54:12	ga_ls7e_ard_3-2-0_095083_2021-07-08_final
2021-07-15 09:51:30	ga_ls7e_ard_3-2-0_105073_2021-07-15_final
2021-07-24 09:46:08	ga_ls7e_ard_3-2-0_104077_2021-07-24_final
2021-07-30 09:06:56	ga_ls7e_ard_3-2-0_098073_2021-07-29_final
2021-08-03 08:42:40	ga_ls7e_ard_3-2-0_094075_2021-08-02_final
2021-08-05 08:31:20	ga_ls7e_ard_3-2-0_092078_2021-08-04_final
2021-08-07 09:58:52	ga_ls7e_ard_3-2-0_106081_2021-08-07_final
2021-08-11 09:32:12	ga_ls7e_ard_3-2-0_102077_2021-08-11_final
2021-08-13 09:18:03	ga_ls7e_ard_3-2-0_100073_2021-08-12_final
2021-08-16 09:51:53	ga_ls7e_ard_3-2-0_105081_2021-08-16_final
2021-08-17 08:53:23	ga_ls7e_ard_3-2-0_096074_2021-08-16_final
2021-08-23 08:18:35	ga_ls7e_ard_3-2-0_090081_2021-08-22_final
2021-08-28 10:13:58	ga_ls7e_ard_3-2-0_109077_2021-08-28_final
2021-08-29 09:19:28	ga_ls7e_ard_3-2-0_100080_2021-08-28_final
2021-09-02 10:32:05	ga_ls7e_ard_3-2-0_112077_2021-09-02_final
2021-09-08 09:55:16	ga_ls7e_ard_3-2-0_106079_2021-09-08_final
2021-09-17 09:48:18	ga_ls7e_ard_3-2-0_105079_2021-09-17_final
2021-09-22 08:29:06	ga_ls7e_ard_3-2-0_092083_2021-09-21_final
2021-09-28 09:29:10	ga_ls7e_ard_3-2-0_102080_2021-09-27_final
2021-10-13 08:42:36	ga_ls7e_ard_3-2-0_095075_2021-10-12_final
2021-10-13 08:44:59	ga_ls7e_ard_3-2-0_095081_2021-10-12_final
2021-10-15 10:09:44	ga_ls7e_ard_3-2-0_109077_2021-10-15_final
2021-10-23 09:20:22	ga_ls7e_ard_3-2-0_101079_2021-10-22_final
2021-10-26 09:52:11	ga_ls7e_ard_3-2-0_106082_2021-10-26_final
2021-11-05 08:49:27	ga_ls7e_ard_3-2-0_096082_2021-11-04_final
2021-11-14 10:19:17	ga_ls7e_ard_3-2-1_111077_2021-11-14_final
2021-11-15 09:24:22	ga_ls7e_ard_3-2-1_102079_2021-11-14_final
2021-12-11 09:58:11	ga_ls7e_ard_3-2-1_108077_2021-12-11_final
2021-12-23 08:42:28	ga_ls7e_ard_3-2-1_096076_2021-12-22_final
2021-12-23 08:45:15	ga_ls7e_ard_3-2-1_096083_2021-12-22_final
2022-01-01 10:17:26	ga_ls7e_ard_3-2-1_111084_2022-01-01_final
2022-01-05 09:51:31	ga_ls7e_ard_3-2-1_107082_2022-01-05_final
2022-01-08 08:41:40	ga_ls7e_ard_3-2-1_096078_2022-01-07_final
2022-01-10 10:08:00	ga_ls7e_ard_3-2-1_110078_2022-01-10_final
2022-01-12 09:54:39	ga_ls7e_ard_3-2-1_108076_2022-01-12_final
2022-01-17 08:33:51	ga_ls7e_ard_3-2-1_095076_2022-01-16_final
2022-02-03 09:17:02	ga_ls7e_ard_3-2-1_102080_2022-02-02_final
2022-02-04 10:00:11	ga_ls7e_ard_3-2-1_109080_2022-02-04_final
2022-02-19 09:14:36	ga_ls7e_ard_3-2-1_102078_2022-02-18_final
2022-02-26 09:19:19	ga_ls7e_ard_3-2-1_103076_2022-02-25_final
2022-03-05 09:22:26	ga_ls7e_ard_3-2-1_104070_2022-03-04_final
2022-03-12 09:31:54	ga_ls7e_ard_3-2-1_105080_2022-03-12_final
2022-03-17 09:46:44	ga_ls7e_ard_3-2-1_108072_2022-03-17_final
2022-03-22 08:28:43	ga_ls7e_ard_3-2-1_095079_2022-03-21_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