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
2000-02-25 11:51:13	ga_ls7e_ard_3-0-0_116078_2000-02-25_final
2000-05-24 11:43:58	ga_ls7e_ard_3-1-0_115077_2000-05-24_final
2001-06-14 11:28:02	ga_ls7e_ard_3-0-0_113074_2001-06-14_final
2002-03-13 11:30:32	ga_ls7e_ard_3-0-0_113082_2002-03-13_final
2002-04-14 11:24:27	ga_ls7e_ard_3-0-0_113067_2002-04-14_final
2003-01-25 11:40:06	ga_ls7e_ard_3-0-0_115076_2003-01-25_final
2003-07-15 11:24:49	ga_ls7e_ard_3-0-0_112084_2003-07-15_final
2003-11-20 11:24:30	ga_ls7e_ard_3-0-0_112083_2003-11-20_final
2005-01-16 11:29:03	ga_ls7e_ard_3-0-0_113077_2005-01-16_final
2005-02-15 11:41:36	ga_ls7e_ard_3-1-0_115077_2005-02-15_final
2005-10-29 11:42:07	ga_ls7e_ard_3-0-0_115079_2005-10-29_final
2005-11-07 11:34:26	ga_ls7e_ard_3-0-0_114075_2005-11-07_final
2005-11-16 11:31:32	ga_ls7e_ard_3-0-0_113083_2005-11-16_final
2005-12-18 11:29:40	ga_ls7e_ard_3-0-0_113078_2005-12-18_final
2006-05-02 11:35:04	ga_ls7e_ard_3-0-0_114075_2006-05-02_final
2006-05-25 11:42:04	ga_ls7e_ard_3-1-0_115077_2006-05-25_final
2006-11-17 11:41:09	ga_ls7e_ard_3-0-0_115075_2006-11-17_final
2006-12-30 11:26:04	ga_ls7e_ard_3-0-0_112083_2006-12-30_final
2007-06-06 11:34:53	ga_ls7e_ard_3-0-0_114074_2007-06-06_final
2007-10-28 11:36:10	ga_ls7e_ard_3-0-0_114078_2007-10-28_final
2007-12-08 11:29:07	ga_ls7e_ard_3-0-0_113075_2007-12-08_final
2008-04-30 11:31:43	ga_ls7e_ard_3-0-0_113082_2008-04-30_final
2008-07-10 11:34:29	ga_ls7e_ard_3-0-0_114075_2008-07-10_final
2009-09-24 11:31:23	ga_ls7e_ard_3-0-0_113081_2009-09-24_final
2009-10-01 11:34:45	ga_ls7e_ard_3-0-0_114074_2009-10-01_final
2011-09-14 11:35:19	ga_ls7e_ard_3-0-0_113083_2011-09-14_final
2011-10-16 11:35:43	ga_ls7e_ard_3-0-0_113084_2011-10-16_final
2012-01-20 11:33:15	ga_ls7e_ard_3-0-0_113076_2012-01-20_final
2012-11-17 11:47:34	ga_ls7e_ard_3-0-0_115076_2012-11-17_final
2013-02-14 11:43:13	ga_ls7e_ard_3-0-0_114080_2013-02-14_final
2013-04-03 11:41:04	ga_ls7e_ard_3-0-0_114075_2013-04-03_final
2013-04-19 11:40:35	ga_ls7e_ard_3-0-0_114074_2013-04-19_final
2013-09-17 11:46:28	ga_ls7e_ard_3-0-0_115074_2013-09-17_final
2013-12-15 11:41:22	ga_ls7e_ard_3-0-0_114075_2013-12-15_final
2014-02-26 11:37:33	ga_ls7e_ard_3-0-0_113080_2014-02-26_final
2015-04-25 11:44:41	ga_ls7e_ard_3-0-0_114076_2015-04-25_final
2015-05-20 11:41:54	ga_ls7e_ard_3-0-0_113084_2015-05-20_final
2016-04-04 11:40:37	ga_ls7e_ard_3-0-0_113074_2016-04-04_final
2016-04-18 11:54:42	ga_ls7e_ard_3-0-0_115078_2016-04-18_final
2016-09-02 11:48:55	ga_ls7e_ard_3-0-0_114078_2016-09-02_final
2016-09-09 11:54:42	ga_ls7e_ard_3-0-0_115077_2016-09-09_final
2017-04-30 11:49:27	ga_ls7e_ard_3-0-0_114080_2017-04-30_final
2017-06-17 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-06-17_final
2017-09-14 11:44:37	ga_ls7e_ard_3-0-0_113083_2017-09-14_final
2018-11-04 11:38:24	ga_ls7e_ard_3-0-0_113082_2018-11-04_final
2019-04-13 11:34:23	ga_ls7e_ard_3-0-0_113084_2019-04-13_final
2019-08-01 11:40:12	ga_ls7e_ard_3-0-0_115078_2019-08-01_final
2019-08-26 11:31:23	ga_ls7e_ard_3-1-0_114074_2019-08-26_final
2019-12-23 11:32:34	ga_ls7e_ard_3-1-0_115075_2019-12-23_final
2020-07-18 11:22:06	ga_ls7e_ard_3-1-0_115078_2020-07-18_final
2020-11-29 10:38:13	ga_ls7e_ard_3-1-0_109083_2020-11-29_final
2020-12-01 08:47:14	ga_ls7e_ard_3-1-0_091084_2020-11-30_final
2020-12-18 09:27:13	ga_ls7e_ard_3-1-0_098079_2020-12-17_final
2021-01-07 08:56:18	ga_ls7e_ard_3-1-0_094067_2021-01-06_final
2021-01-21 10:52:56	ga_ls7e_ard_3-2-0_112083_2021-01-21_final
2021-02-06 09:06:30	ga_ls7e_ard_3-2-0_096067_2021-02-05_final
2021-02-20 09:21:24	ga_ls7e_ard_3-2-0_098076_2021-02-19_final
2021-02-20 11:02:16	ga_ls7e_ard_3-2-0_114081_2021-02-20_final
2021-02-26 10:25:08	ga_ls7e_ard_3-2-0_108082_2021-02-26_final
2021-03-05 10:28:46	ga_ls7e_ard_3-2-0_109077_2021-03-05_final
2021-03-23 10:16:11	ga_ls7e_ard_3-2-0_107080_2021-03-23_final
2021-04-08 10:13:40	ga_ls7e_ard_3-2-0_107077_2021-04-08_final
2021-04-24 10:13:31	ga_ls7e_ard_3-2-0_107080_2021-04-24_final
2021-04-27 09:02:53	ga_ls7e_ard_3-2-0_096074_2021-04-26_final
2021-05-04 09:07:42	ga_ls7e_ard_3-2-0_097072_2021-05-03_final
2021-05-04 09:10:53	ga_ls7e_ard_3-2-0_097080_2021-05-03_final
2021-05-07 09:41:08	ga_ls7e_ard_3-2-0_102079_2021-05-07_final
2021-05-08 10:25:31	ga_ls7e_ard_3-2-0_109082_2021-05-08_final
2021-05-10 10:09:23	ga_ls7e_ard_3-2-0_107073_2021-05-10_final
2021-05-20 10:50:01	ga_ls7e_ard_3-2-0_113084_2021-05-20_final
2021-05-27 09:14:43	ga_ls7e_ard_3-2-0_098079_2021-05-26_final
2021-05-27 09:15:55	ga_ls7e_ard_3-2-0_098082_2021-05-26_final
2021-05-30 09:46:33	ga_ls7e_ard_3-2-0_103082_2021-05-30_final
2021-06-05 09:07:47	ga_ls7e_ard_3-2-0_097079_2021-06-04_final
2021-06-11 08:30:13	ga_ls7e_ard_3-2-0_091079_2021-06-10_final
2021-06-23 10:33:14	ga_ls7e_ard_3-2-0_111080_2021-06-23_final
2021-07-15 08:17:01	ga_ls7e_ard_3-2-0_089084_2021-07-14_final
2021-07-23 09:04:58	ga_ls7e_ard_3-2-0_097082_2021-07-22_final
2021-08-03 08:42:16	ga_ls7e_ard_3-2-0_094074_2021-08-02_final
2021-09-08 08:16:24	ga_ls7e_ard_3-2-0_090079_2021-09-07_final
2021-09-13 08:32:30	ga_ls7e_ard_3-2-0_093074_2021-09-12_final
2021-11-06 09:29:02	ga_ls7e_ard_3-2-0_103073_2021-11-05_final
2021-12-09 08:33:51	ga_ls7e_ard_3-2-1_094082_2021-12-08_final
2021-12-20 09:53:32	ga_ls7e_ard_3-2-1_107083_2021-12-20_final
2021-12-22 09:38:34	ga_ls7e_ard_3-2-1_105077_2021-12-22_final
2021-12-30 10:28:25	ga_ls7e_ard_3-2-1_113080_2021-12-30_final
2022-01-04 09:08:21	ga_ls7e_ard_3-2-1_100082_2022-01-03_final
2022-01-28 08:17:26	ga_ls7e_ard_3-2-1_092084_2022-01-27_final
2022-02-11 10:06:50	ga_ls7e_ard_3-2-1_110083_2022-02-11_final
2022-02-15 09:37:19	ga_ls7e_ard_3-2-1_106072_2022-02-15_final
2022-02-18 08:33:26	ga_ls7e_ard_3-2-1_095083_2022-02-17_final
2022-02-22 08:05:57	ga_ls7e_ard_3-2-1_091077_2022-02-21_final
2022-02-22 09:46:01	ga_ls7e_ard_3-2-1_107080_2022-02-22_final
2022-03-04 10:22:56	ga_ls7e_ard_3-2-1_113082_2022-03-04_final
2022-03-10 08:08:47	ga_ls7e_ard_3-2-1_091088_2022-03-09_final
2022-03-10 09:44:52	ga_ls7e_ard_3-2-1_107081_2022-03-10_final
2022-03-13 08:36:59	ga_ls7e_ard_3-2-1_096082_2022-03-12_final
2022-03-17 09:46:20	ga_ls7e_ard_3-2-1_108071_2022-03-17_final
2022-03-27 08:44:00	ga_ls7e_ard_3-2-1_098072_2022-03-26_final
2022-03-31 08:24:05	ga_ls7e_ard_3-2-1_094085_2022-03-30_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