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
2002-05-30 11:39:25	ga_ls7e_ard_3-0-0_115074_2002-05-30_final
2002-09-28 11:33:58	ga_ls7e_ard_3-0-0_114078_2002-09-28_final
2003-08-30 11:35:22	ga_ls7e_ard_3-0-0_114080_2003-08-30_final
2005-07-18 11:35:39	ga_ls7e_ard_3-0-0_114078_2005-07-18_final
2008-06-24 11:36:40	ga_ls7e_ard_3-0-0_114080_2008-06-24_final
2009-04-08 11:36:56	ga_ls7e_ard_3-0-0_114079_2009-04-08_final
2009-08-30 11:35:36	ga_ls7e_ard_3-0-0_114076_2009-08-30_final
2009-10-17 11:35:36	ga_ls7e_ard_3-0-0_114076_2009-10-17_final
2010-01-12 11:43:28	ga_ls7e_ard_3-1-0_115077_2010-01-12_final
2010-07-23 11:43:50	ga_ls7e_ard_3-0-0_115076_2010-07-23_final
2011-07-19 11:38:56	ga_ls7e_ard_3-0-0_114076_2011-07-19_final
2011-07-19 11:40:56	ga_ls7e_ard_3-0-0_114081_2011-07-19_final
2012-03-06 11:46:06	ga_ls7e_ard_3-0-0_115077_2012-03-06_final
2013-01-29 11:42:26	ga_ls7e_ard_3-0-0_114078_2013-01-29_final
2013-05-12 11:47:53	ga_ls7e_ard_3-1-0_115077_2013-05-12_final
2013-05-21 11:41:17	ga_ls7e_ard_3-0-0_114076_2013-05-21_final
2013-07-08 11:42:27	ga_ls7e_ard_3-0-0_114080_2013-07-08_final
2013-09-26 11:41:58	ga_ls7e_ard_3-0-0_114078_2013-09-26_final
2014-09-13 11:44:15	ga_ls7e_ard_3-0-0_114079_2014-09-13_final
2014-10-15 11:44:35	ga_ls7e_ard_3-0-0_114079_2014-10-15_final
2015-06-12 11:45:49	ga_ls7e_ard_3-0-0_114078_2015-06-12_final
2015-09-16 11:46:09	ga_ls7e_ard_3-0-0_114078_2015-09-16_final
2016-01-06 11:48:07	ga_ls7e_ard_3-0-0_114079_2016-01-06_final
2017-12-10 11:49:02	ga_ls7e_ard_3-0-0_114079_2017-12-10_final
2018-02-28 11:48:00	ga_ls7e_ard_3-0-0_114079_2018-02-28_final
2020-07-27 11:15:46	ga_ls7e_ard_3-1-0_114079_2020-07-27_final
2020-11-21 09:47:45	ga_ls7e_ard_3-1-0_101079_2020-11-21_final
2020-11-26 10:01:57	ga_ls7e_ard_3-1-0_104069_2020-11-26_final
2020-12-04 10:53:36	ga_ls7e_ard_3-1-0_112076_2020-12-04_final
2020-12-04 10:55:12	ga_ls7e_ard_3-1-0_112080_2020-12-04_final
2020-12-08 08:52:06	ga_ls7e_ard_3-1-0_092082_2020-12-07_final
2020-12-30 09:50:41	ga_ls7e_ard_3-1-0_102078_2020-12-30_final
2021-01-07 09:01:29	ga_ls7e_ard_3-1-0_094080_2021-01-06_final
2021-01-12 10:57:22	ga_ls7e_ard_3-1-0_113077_2021-01-12_final
2021-01-14 09:07:11	ga_ls7e_ard_3-1-0_095080_2021-01-13_final
2021-01-15 09:49:58	ga_ls7e_ard_3-1-0_102079_2021-01-15_final
2021-01-16 08:56:16	ga_ls7e_ard_3-1-0_093084_2021-01-15_final
2021-01-21 10:50:56	ga_ls7e_ard_3-2-0_112078_2021-01-21_final
2021-02-18 09:35:54	ga_ls7e_ard_3-2-0_100081_2021-02-18_final
2021-02-22 09:08:29	ga_ls7e_ard_3-2-0_096075_2021-02-21_final
2021-03-25 10:02:28	ga_ls7e_ard_3-2-0_105077_2021-03-25_final
2021-03-28 08:55:50	ga_ls7e_ard_3-2-0_094081_2021-03-27_final
2021-04-06 08:47:43	ga_ls7e_ard_3-2-0_093078_2021-04-05_final
2021-04-07 09:32:30	ga_ls7e_ard_3-2-0_100082_2021-04-07_final
2021-04-10 09:58:21	ga_ls7e_ard_3-2-0_105070_2021-04-10_final
2021-05-12 09:58:28	ga_ls7e_ard_3-2-0_105077_2021-05-12_final
2021-05-13 10:42:50	ga_ls7e_ard_3-2-0_112080_2021-05-13_final
2021-05-15 08:53:01	ga_ls7e_ard_3-2-0_094084_2021-05-14_final
2021-05-24 08:42:29	ga_ls7e_ard_3-2-0_093075_2021-05-23_final
2021-05-24 08:46:28	ga_ls7e_ard_3-2-0_093085_2021-05-23_final
2021-06-02 10:15:36	ga_ls7e_ard_3-2-0_108078_2021-06-02_final
2021-06-03 09:21:06	ga_ls7e_ard_3-2-0_099081_2021-06-02_final
2021-06-07 08:56:03	ga_ls7e_ard_3-2-0_095081_2021-06-06_final
2021-06-07 10:32:56	ga_ls7e_ard_3-2-0_111076_2021-06-07_final
2021-06-10 09:23:55	ga_ls7e_ard_3-2-0_100074_2021-06-09_final
2021-06-15 09:42:51	ga_ls7e_ard_3-2-0_103076_2021-06-15_final
2021-06-18 10:11:55	ga_ls7e_ard_3-2-0_108072_2021-06-18_final
2021-06-21 10:46:09	ga_ls7e_ard_3-2-0_113081_2021-06-21_final
2021-06-28 09:10:53	ga_ls7e_ard_3-2-0_098076_2021-06-27_final
2021-07-02 10:26:18	ga_ls7e_ard_3-2-0_110080_2021-07-02_final
2021-07-09 08:54:36	ga_ls7e_ard_3-2-0_095084_2021-07-08_final
2021-07-11 08:38:29	ga_ls7e_ard_3-2-0_093075_2021-07-10_final
2021-07-20 10:12:00	ga_ls7e_ard_3-2-0_108079_2021-07-20_final
2021-07-22 08:21:00	ga_ls7e_ard_3-2-0_090080_2021-07-21_final
2021-08-17 10:33:03	ga_ls7e_ard_3-2-0_112076_2021-08-17_final
2021-08-20 09:23:37	ga_ls7e_ard_3-2-0_101073_2021-08-19_final
2021-08-28 10:15:58	ga_ls7e_ard_3-2-0_109082_2021-08-28_final
2021-09-09 08:58:46	ga_ls7e_ard_3-2-0_097077_2021-09-08_final
2021-09-09 10:38:51	ga_ls7e_ard_3-2-0_113080_2021-09-09_final
2021-09-27 10:23:17	ga_ls7e_ard_3-2-0_111076_2021-09-27_final
2021-10-01 08:24:07	ga_ls7e_ard_3-2-0_091088_2021-09-30_final
2021-10-09 09:06:52	ga_ls7e_ard_3-2-0_099073_2021-10-08_final
2021-10-09 09:10:04	ga_ls7e_ard_3-2-0_099081_2021-10-08_final
2021-10-13 08:42:12	ga_ls7e_ard_3-2-0_095074_2021-10-12_final
2021-10-19 09:41:52	ga_ls7e_ard_3-2-0_105070_2021-10-19_final
2021-10-23 09:21:34	ga_ls7e_ard_3-2-0_101082_2021-10-22_final
2021-10-29 08:42:44	ga_ls7e_ard_3-2-0_095079_2021-10-28_final
2021-10-29 10:21:37	ga_ls7e_ard_3-2-0_111079_2021-10-29_final
2021-11-02 09:54:08	ga_ls7e_ard_3-2-0_107073_2021-11-02_final
2021-11-05 10:26:20	ga_ls7e_ard_3-2-0_112077_2021-11-05_final
2021-12-23 08:42:04	ga_ls7e_ard_3-2-1_096075_2021-12-22_final
2021-12-29 09:45:39	ga_ls7e_ard_3-2-1_106081_2021-12-29_final
2021-12-31 09:29:06	ga_ls7e_ard_3-2-1_104071_2021-12-30_final
2022-01-06 08:52:13	ga_ls7e_ard_3-2-1_098073_2022-01-05_final
2022-01-07 09:38:10	ga_ls7e_ard_3-2-1_105080_2022-01-07_final
2022-01-19 10:02:10	ga_ls7e_ard_3-2-1_109081_2022-01-19_final
2022-01-21 09:46:25	ga_ls7e_ard_3-2-1_107073_2022-01-21_final
2022-01-23 09:36:39	ga_ls7e_ard_3-2-1_105080_2022-01-23_final
2022-02-16 08:43:35	ga_ls7e_ard_3-2-1_097077_2022-02-15_final
2022-02-18 08:31:50	ga_ls7e_ard_3-2-1_095079_2022-02-17_final
2022-02-19 09:13:24	ga_ls7e_ard_3-2-1_102075_2022-02-18_final
2022-02-21 09:00:51	ga_ls7e_ard_3-2-1_100075_2022-02-20_final
2022-02-25 08:38:09	ga_ls7e_ard_3-2-1_096081_2022-02-24_final
2022-03-04 10:23:20	ga_ls7e_ard_3-2-1_113083_2022-03-04_final
2022-03-06 08:29:06	ga_ls7e_ard_3-2-1_095076_2022-03-05_final
2022-03-06 10:09:11	ga_ls7e_ard_3-2-1_111079_2022-03-06_final
2022-03-08 09:56:37	ga_ls7e_ard_3-2-1_109079_2022-03-08_final
2022-03-11 08:48:44	ga_ls7e_ard_3-2-1_098080_2022-03-10_final
2022-03-19 09:34:59	ga_ls7e_ard_3-2-1_106074_2022-03-19_final
2022-03-21 09:22:02	ga_ls7e_ard_3-2-1_104073_2022-03-20_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