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
2000-04-06 11:44:02	ga_ls7e_ard_3-0-0_115076_2000-04-06_final
2001-05-11 11:41:10	ga_ls7e_ard_3-0-0_115075_2001-05-11_final
2001-05-11 11:41:58	ga_ls7e_ard_3-1-0_115077_2001-05-11_final
2002-07-10 11:34:13	ga_ls7e_ard_3-0-0_114077_2002-07-10_final
2003-03-14 11:41:32	ga_ls7e_ard_3-0-0_115079_2003-03-14_final
2003-11-11 11:28:33	ga_ls7e_ard_3-0-0_113078_2003-11-11_final
2003-11-27 11:29:55	ga_ls7e_ard_3-0-0_113081_2003-11-27_final
2004-07-08 11:29:50	ga_ls7e_ard_3-0-0_113080_2004-07-08_final
2004-07-31 11:34:16	ga_ls7e_ard_3-0-0_114076_2004-07-31_final
2005-03-21 11:30:32	ga_ls7e_ard_3-0-0_113080_2005-03-21_final
2005-04-04 11:42:27	ga_ls7e_ard_3-0-0_115079_2005-04-04_final
2005-04-06 11:30:04	ga_ls7e_ard_3-0-0_113079_2005-04-06_final
2006-03-08 11:30:32	ga_ls7e_ard_3-0-0_113079_2006-03-08_final
2008-02-10 11:30:44	ga_ls7e_ard_3-0-0_113079_2008-02-10_final
2008-07-03 11:31:11	ga_ls7e_ard_3-0-0_113082_2008-07-03_final
2009-03-16 11:31:24	ga_ls7e_ard_3-0-0_113081_2009-03-16_final
2009-08-07 11:31:50	ga_ls7e_ard_3-0-0_113082_2009-08-07_final
2009-11-02 11:32:16	ga_ls7e_ard_3-0-0_114067_2009-11-02_final
2010-03-10 11:38:19	ga_ls7e_ard_3-0-0_114078_2010-03-10_final
2010-07-07 11:43:25	ga_ls7e_ard_3-0-0_115075_2010-07-07_final
2011-11-01 11:33:48	ga_ls7e_ard_3-0-0_113079_2011-11-01_final
2012-03-06 11:46:06	ga_ls7e_ard_3-0-0_115077_2012-03-06_final
2013-04-03 11:41:52	ga_ls7e_ard_3-0-0_114077_2013-04-03_final
2013-12-15 11:42:09	ga_ls7e_ard_3-0-0_114077_2013-12-15_final
2014-04-13 11:48:39	ga_ls7e_ard_3-0-0_115076_2014-04-13_final
2014-06-02 11:37:50	ga_ls7e_ard_3-0-0_113079_2014-06-02_final
2015-05-11 11:45:14	ga_ls7e_ard_3-0-0_114077_2015-05-11_final
2016-06-23 11:42:36	ga_ls7e_ard_3-0-0_113078_2016-06-23_final
2016-09-18 11:48:33	ga_ls7e_ard_3-0-0_114077_2016-09-18_final
2017-02-02 11:41:38	ga_ls7e_ard_3-0-0_113077_2017-02-02_final
2017-04-30 11:47:28	ga_ls7e_ard_3-0-0_114075_2017-04-30_final
2018-01-04 11:41:46	ga_ls7e_ard_3-0-0_113077_2018-01-04_final
2018-04-01 11:47:11	ga_ls7e_ard_3-0-0_114078_2018-04-01_final
2018-11-04 11:37:36	ga_ls7e_ard_3-0-0_113080_2018-11-04_final
2019-04-27 11:43:03	ga_ls7e_ard_3-0-0_115076_2019-04-27_final
2019-07-18 11:29:36	ga_ls7e_ard_3-0-0_113081_2019-07-18_final
2020-07-27 11:15:22	ga_ls7e_ard_3-1-0_114078_2020-07-27_final
2020-11-30 09:40:56	ga_ls7e_ard_3-1-0_100079_2020-11-30_final
2020-12-16 09:39:44	ga_ls7e_ard_3-1-0_100079_2020-12-16_final
2020-12-29 09:09:53	ga_ls7e_ard_3-1-0_095084_2020-12-28_final
2021-01-04 10:06:05	ga_ls7e_ard_3-1-0_105071_2021-01-04_final
2021-01-06 09:54:23	ga_ls7e_ard_3-1-0_103073_2021-01-06_final
2021-01-06 09:54:47	ga_ls7e_ard_3-1-0_103074_2021-01-06_final
2021-01-14 10:44:28	ga_ls7e_ard_3-1-0_111076_2021-01-14_final
2021-01-22 09:54:51	ga_ls7e_ard_3-2-0_103077_2021-01-22_final
2021-01-25 08:47:51	ga_ls7e_ard_3-2-0_092080_2021-01-24_final
2021-02-01 10:33:12	ga_ls7e_ard_3-2-0_109082_2021-02-01_final
2021-02-05 08:29:42	ga_ls7e_ard_3-2-0_089083_2021-02-04_final
2021-02-15 09:06:50	ga_ls7e_ard_3-2-0_095085_2021-02-14_final
2021-02-21 10:04:59	ga_ls7e_ard_3-2-0_105077_2021-02-21_final
2021-03-03 09:04:00	ga_ls7e_ard_3-2-0_095081_2021-03-02_final
2021-03-03 09:05:12	ga_ls7e_ard_3-2-0_095084_2021-03-02_final
2021-03-04 09:46:47	ga_ls7e_ard_3-2-0_102080_2021-03-04_final
2021-03-05 10:31:10	ga_ls7e_ard_3-2-0_109083_2021-03-05_final
2021-03-08 10:59:26	ga_ls7e_ard_3-2-0_114077_2021-03-08_final
2021-03-18 09:57:15	ga_ls7e_ard_3-2-0_104078_2021-03-18_final
2021-03-26 09:03:58	ga_ls7e_ard_3-2-0_096070_2021-03-25_final
2021-03-27 09:50:44	ga_ls7e_ard_3-2-0_103079_2021-03-27_final
2021-04-02 09:15:34	ga_ls7e_ard_3-2-0_097085_2021-04-01_final
2021-05-20 09:10:20	ga_ls7e_ard_3-2-0_097082_2021-05-19_final
2021-05-23 09:36:35	ga_ls7e_ard_3-2-0_102071_2021-05-23_final
2021-05-26 08:35:08	ga_ls7e_ard_3-2-0_091088_2021-05-25_final
2021-05-27 09:13:31	ga_ls7e_ard_3-2-0_098076_2021-05-26_final
2021-05-29 09:00:35	ga_ls7e_ard_3-2-0_096075_2021-05-28_final
2021-05-29 09:03:23	ga_ls7e_ard_3-2-0_096082_2021-05-28_final
2021-06-05 10:47:27	ga_ls7e_ard_3-2-0_113081_2021-06-05_final
2021-06-08 09:37:14	ga_ls7e_ard_3-2-0_102076_2021-06-08_final
2021-06-09 10:18:02	ga_ls7e_ard_3-2-0_109070_2021-06-09_final
2021-06-13 08:19:41	ga_ls7e_ard_3-2-0_089084_2021-06-12_final
2021-06-18 10:15:30	ga_ls7e_ard_3-2-0_108081_2021-06-18_final
2021-07-04 10:13:46	ga_ls7e_ard_3-2-0_108080_2021-07-04_final
2021-07-10 09:32:35	ga_ls7e_ard_3-2-0_102071_2021-07-10_final
2021-07-16 10:37:04	ga_ls7e_ard_3-2-0_112079_2021-07-16_final
2021-07-22 09:58:40	ga_ls7e_ard_3-2-0_106077_2021-07-22_final
2021-07-26 09:33:36	ga_ls7e_ard_3-2-0_102077_2021-07-26_final
2021-07-27 08:36:42	ga_ls7e_ard_3-2-0_093074_2021-07-26_final
2021-08-30 10:01:02	ga_ls7e_ard_3-2-0_107076_2021-08-30_final
2021-09-13 08:32:54	ga_ls7e_ard_3-2-0_093075_2021-09-12_final
2021-09-15 10:00:02	ga_ls7e_ard_3-2-0_107077_2021-09-15_final
2021-09-21 09:21:37	ga_ls7e_ard_3-2-0_101075_2021-09-20_final
2021-10-01 09:57:00	ga_ls7e_ard_3-2-0_107073_2021-10-01_final
2021-10-15 10:10:08	ga_ls7e_ard_3-2-0_109078_2021-10-15_final
2021-10-22 08:37:36	ga_ls7e_ard_3-2-0_094080_2021-10-21_final
2021-10-31 10:08:40	ga_ls7e_ard_3-2-0_109078_2021-10-31_final
2021-11-16 10:07:56	ga_ls7e_ard_3-2-1_109080_2021-11-16_final
2021-11-29 09:36:11	ga_ls7e_ard_3-2-1_104081_2021-11-29_final
2021-12-08 09:25:10	ga_ls7e_ard_3-2-1_103071_2021-12-07_final
2021-12-09 08:33:03	ga_ls7e_ard_3-2-1_094080_2021-12-08_final
2021-12-16 08:40:09	ga_ls7e_ard_3-2-1_095084_2021-12-15_final
2021-12-27 08:20:08	ga_ls7e_ard_3-2-1_092083_2021-12-26_final
2021-12-31 09:29:06	ga_ls7e_ard_3-2-1_104071_2021-12-30_final
2022-01-15 08:48:47	ga_ls7e_ard_3-2-1_097082_2022-01-14_final
2022-01-15 10:27:16	ga_ls7e_ard_3-2-1_113081_2022-01-15_final
2022-01-15 10:27:40	ga_ls7e_ard_3-2-1_113082_2022-01-15_final
2022-01-28 08:14:38	ga_ls7e_ard_3-2-1_092077_2022-01-27_final
2022-02-06 09:48:01	ga_ls7e_ard_3-2-1_107081_2022-02-06_final
2022-02-16 10:24:27	ga_ls7e_ard_3-2-1_113082_2022-02-16_final
2022-02-19 09:13:48	ga_ls7e_ard_3-2-1_102076_2022-02-18_final
2022-02-26 09:20:55	ga_ls7e_ard_3-2-1_103080_2022-02-25_final
2022-03-06 10:04:47	ga_ls7e_ard_3-2-1_111068_2022-03-06_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