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
1999-10-17 09:44:08	ga_ls7e_ard_3-0-0_095084_1999-10-17_final
2000-01-05 09:42:25	ga_ls7e_ard_3-0-0_095080_2000-01-05_final
2000-08-12 11:43:05	ga_ls7e_ard_3-1-0_115077_2000-08-12_final
2000-12-06 09:40:41	ga_ls7e_ard_3-0-0_095082_2000-12-06_final
2001-03-01 11:37:20	ga_ls7e_ard_3-0-0_114080_2001-03-01_final
2001-10-06 09:38:15	ga_ls7e_ard_3-0-0_095081_2001-10-06_final
2001-12-09 09:36:11	ga_ls7e_ard_3-0-0_095075_2001-12-09_final
2002-01-26 09:36:03	ga_ls7e_ard_3-0-0_095074_2002-01-26_final
2002-02-11 09:38:30	ga_ls7e_ard_3-0-0_095080_2002-02-11_final
2002-05-18 09:33:07	ga_ls7e_ard_3-0-0_095067_2002-05-18_final
2002-09-23 09:37:22	ga_ls7e_ard_3-0-0_095080_2002-09-23_final
2003-11-13 09:37:44	ga_ls7e_ard_3-1-0_095079_2003-11-13_final
2004-04-21 09:37:54	ga_ls7e_ard_3-0-0_095078_2004-04-21_final
2005-02-19 09:38:02	ga_ls7e_ard_3-0-0_095077_2005-02-19_final
2005-09-27 11:41:52	ga_ls7e_ard_3-0-0_115079_2005-09-27_final
2005-11-02 09:37:21	ga_ls7e_ard_3-0-0_095076_2005-11-02_final
2006-05-13 09:39:40	ga_ls7e_ard_3-0-0_095080_2006-05-13_final
2006-09-18 09:40:43	ga_ls7e_ard_3-0-0_095084_2006-09-18_final
2007-10-23 09:38:41	ga_ls7e_ard_3-0-0_095078_2007-10-23_final
2009-10-17 11:36:47	ga_ls7e_ard_3-0-0_114079_2009-10-17_final
2011-02-04 09:43:00	ga_ls7e_ard_3-0-0_095080_2011-02-04_final
2011-08-27 11:46:11	ga_ls7e_ard_3-0-0_115079_2011-08-27_final
2012-01-22 09:45:11	ga_ls7e_ard_3-0-0_095084_2012-01-22_final
2012-02-07 09:41:42	ga_ls7e_ard_3-0-0_095075_2012-02-07_final
2012-02-07 09:43:41	ga_ls7e_ard_3-0-0_095080_2012-02-07_final
2012-02-23 09:38:33	ga_ls7e_ard_3-0-0_095067_2012-02-23_final
2012-03-10 09:44:05	ga_ls7e_ard_3-0-0_095081_2012-03-10_final
2012-03-15 11:40:44	ga_ls7e_ard_3-0-0_114079_2012-03-15_final
2012-08-29 11:47:16	ga_ls7e_ard_3-1-0_115077_2012-08-29_final
2012-09-07 11:42:24	ga_ls7e_ard_3-0-0_114080_2012-09-07_final
2012-09-14 11:47:26	ga_ls7e_ard_3-1-0_115077_2012-09-14_final
2013-04-30 09:46:42	ga_ls7e_ard_3-0-0_095083_2013-04-30_final
2013-08-04 09:45:15	ga_ls7e_ard_3-0-0_095081_2013-08-04_final
2013-08-04 09:46:51	ga_ls7e_ard_3-0-0_095085_2013-08-04_final
2013-09-17 11:47:16	ga_ls7e_ard_3-0-0_115076_2013-09-17_final
2013-09-21 09:43:42	ga_ls7e_ard_3-0-0_095076_2013-09-21_final
2013-12-26 09:44:48	ga_ls7e_ard_3-0-0_095077_2013-12-26_final
2014-08-07 09:48:51	ga_ls7e_ard_3-0-0_095084_2014-08-07_final
2016-06-14 11:49:10	ga_ls7e_ard_3-0-0_114079_2016-06-14_final
2016-12-07 11:49:06	ga_ls7e_ard_3-0-0_114079_2016-12-07_final
2017-01-19 09:52:54	ga_ls7e_ard_3-0-0_095083_2017-01-19_final
2017-05-27 09:53:19	ga_ls7e_ard_3-0-0_095083_2017-05-27_final
2017-08-31 09:52:36	ga_ls7e_ard_3-0-0_095081_2017-08-31_final
2017-09-16 09:52:34	ga_ls7e_ard_3-0-0_095081_2017-09-16_final
2018-01-06 09:52:06	ga_ls7e_ard_3-0-0_095081_2018-01-06_final
2018-01-06 09:53:17	ga_ls7e_ard_3-0-0_095084_2018-01-06_final
2018-01-18 11:53:56	ga_ls7e_ard_3-1-0_115077_2018-01-18_final
2018-08-18 09:46:31	ga_ls7e_ard_3-0-0_095076_2018-08-18_final
2019-06-18 09:39:06	ga_ls7e_ard_3-0-0_095080_2019-06-18_final
2019-09-06 09:33:29	ga_ls7e_ard_3-1-0_095074_2019-09-06_final
2019-11-09 09:31:31	ga_ls7e_ard_3-1-0_095076_2019-11-09_final
2020-03-16 09:24:37	ga_ls7e_ard_3-1-0_095075_2020-03-15_final
2020-06-04 09:19:31	ga_ls7e_ard_3-1-0_095074_2020-06-03_final
2021-03-13 09:39:30	ga_ls7e_ard_3-2-0_101079_2021-03-13_final
2021-03-17 09:13:40	ga_ls7e_ard_3-2-0_097077_2021-03-16_final
2021-03-27 09:51:08	ga_ls7e_ard_3-2-0_103080_2021-03-27_final
2021-04-12 09:48:13	ga_ls7e_ard_3-2-0_103076_2021-04-12_final
2021-04-27 09:05:17	ga_ls7e_ard_3-2-0_096080_2021-04-26_final
2021-05-04 09:08:05	ga_ls7e_ard_3-2-0_097073_2021-05-03_final
2021-05-10 08:33:42	ga_ls7e_ard_3-2-0_091081_2021-05-09_final
2021-05-20 09:05:57	ga_ls7e_ard_3-2-0_097071_2021-05-19_final
2021-05-22 08:55:01	ga_ls7e_ard_3-2-0_095075_2021-05-21_final
2021-05-29 09:03:47	ga_ls7e_ard_3-2-0_096083_2021-05-28_final
2021-06-18 08:35:26	ga_ls7e_ard_3-2-0_092078_2021-06-17_final
2021-06-25 10:17:55	ga_ls7e_ard_3-2-0_109073_2021-06-25_final
2021-06-27 10:07:47	ga_ls7e_ard_3-2-0_107079_2021-06-27_final
2021-07-01 09:38:44	ga_ls7e_ard_3-2-0_103069_2021-07-01_final
2021-07-01 09:39:08	ga_ls7e_ard_3-2-0_103070_2021-07-01_final
2021-07-04 10:13:22	ga_ls7e_ard_3-2-0_108079_2021-07-04_final
2021-07-07 09:04:20	ga_ls7e_ard_3-2-0_097077_2021-07-06_final
2021-07-15 09:54:18	ga_ls7e_ard_3-2-0_105080_2021-07-15_final
2021-07-23 09:00:58	ga_ls7e_ard_3-2-0_097072_2021-07-22_final
2021-07-23 10:41:03	ga_ls7e_ard_3-2-0_113075_2021-07-23_final
2021-09-08 08:17:59	ga_ls7e_ard_3-2-0_090083_2021-09-07_final
2021-09-09 08:59:58	ga_ls7e_ard_3-2-0_097080_2021-09-08_final
2021-09-11 08:46:14	ga_ls7e_ard_3-2-0_095077_2021-09-10_final
2021-09-16 09:06:19	ga_ls7e_ard_3-2-0_098082_2021-09-15_final
2021-09-21 09:20:49	ga_ls7e_ard_3-2-0_101073_2021-09-20_final
2021-10-08 10:04:58	ga_ls7e_ard_3-2-0_108079_2021-10-08_final
2021-10-17 09:57:59	ga_ls7e_ard_3-2-0_107079_2021-10-17_final
2021-10-23 09:20:46	ga_ls7e_ard_3-2-0_101080_2021-10-22_final
2021-10-26 08:12:31	ga_ls7e_ard_3-2-0_090080_2021-10-25_final
2021-10-28 09:38:51	ga_ls7e_ard_3-2-0_104080_2021-10-28_final
2021-11-15 09:23:10	ga_ls7e_ard_3-2-1_102076_2021-11-14_final
2021-11-17 09:12:37	ga_ls7e_ard_3-2-1_100081_2021-11-16_final
2021-12-16 08:36:58	ga_ls7e_ard_3-2-1_095076_2021-12-15_final
2021-12-17 09:20:31	ga_ls7e_ard_3-2-1_102077_2021-12-16_final
2021-12-17 09:20:55	ga_ls7e_ard_3-2-1_102078_2021-12-16_final
2021-12-21 08:57:25	ga_ls7e_ard_3-2-1_098082_2021-12-20_final
2022-01-04 09:07:57	ga_ls7e_ard_3-2-1_100081_2022-01-03_final
2022-01-19 10:00:58	ga_ls7e_ard_3-2-1_109078_2022-01-19_final
2022-02-04 08:22:30	ga_ls7e_ard_3-2-1_093083_2022-02-03_final
2022-02-05 09:02:04	ga_ls7e_ard_3-2-1_100074_2022-02-04_final
2022-02-09 10:18:37	ga_ls7e_ard_3-2-1_112081_2022-02-09_final
2022-02-18 10:11:55	ga_ls7e_ard_3-2-1_111082_2022-02-18_final
2022-02-20 08:19:41	ga_ls7e_ard_3-2-1_093080_2022-02-19_final
2022-02-25 10:15:02	ga_ls7e_ard_3-2-1_112076_2022-02-25_final
2022-03-25 08:57:44	ga_ls7e_ard_3-2-1_100075_2022-03-24_final
2022-03-26 08:05:37	ga_ls7e_ard_3-2-1_091084_2022-03-25_final
2022-04-02 08:09:08	ga_ls7e_ard_3-2-1_092079_2022-04-01_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