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
1999-11-05 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-11-05_final
2000-05-28 09:38:45	ga_ls7e_ard_3-1-0_095073_2000-05-28_final
2000-12-18 11:42:25	ga_ls7e_ard_3-0-0_115077_2000-12-18_final
2003-11-13 09:35:21	ga_ls7e_ard_3-1-0_095073_2003-11-13_final
2003-11-13 09:40:08	ga_ls7e_ard_3-0-0_095085_2003-11-13_final
2004-09-28 09:39:23	ga_ls7e_ard_3-1-0_095083_2004-09-28_final
2004-10-30 09:36:26	ga_ls7e_ard_3-0-0_095075_2004-10-30_final
2005-03-23 09:41:41	ga_ls7e_ard_3-0-0_095086_2005-03-23_final
2005-05-26 09:36:23	ga_ls7e_ard_3-1-0_095073_2005-05-26_final
2005-08-30 09:36:49	ga_ls7e_ard_3-0-0_095075_2005-08-30_final
2006-02-06 09:36:26	ga_ls7e_ard_3-0-0_095072_2006-02-06_final
2006-11-05 09:41:24	ga_ls7e_ard_3-0-0_095085_2006-11-05_final
2007-04-14 09:38:31	ga_ls7e_ard_3-0-0_095076_2007-04-14_final
2008-05-18 09:42:22	ga_ls7e_ard_3-0-0_095087_2008-05-18_final
2008-07-05 09:36:19	ga_ls7e_ard_3-1-0_095073_2008-07-05_final
2009-10-24 11:43:05	ga_ls7e_ard_3-0-0_115079_2009-10-24_final
2010-01-16 09:42:43	ga_ls7e_ard_3-0-0_095084_2010-01-16_final
2011-05-07 11:46:25	ga_ls7e_ard_3-0-0_115079_2011-05-07_final
2011-10-17 09:00:25	ga_ls7e_ard_3-0-0_088082_2011-10-16_final
2011-12-04 09:00:53	ga_ls7e_ard_3-0-0_088082_2011-12-03_final
2012-06-30 09:46:33	ga_ls7e_ard_3-0-0_095086_2012-06-30_final
2012-07-16 09:45:59	ga_ls7e_ard_3-0-0_095084_2012-07-16_final
2012-09-02 09:47:42	ga_ls7e_ard_3-0-0_095087_2012-09-02_final
2013-08-04 09:42:03	ga_ls7e_ard_3-1-0_095073_2013-08-04_final
2014-01-10 09:03:10	ga_ls7e_ard_3-0-0_088081_2014-01-09_final
2014-03-12 11:49:37	ga_ls7e_ard_3-0-0_115079_2014-03-12_final
2014-08-23 09:44:26	ga_ls7e_ard_3-1-0_095073_2014-08-23_final
2014-11-10 09:05:23	ga_ls7e_ard_3-0-0_088082_2014-11-09_final
2015-06-23 09:50:00	ga_ls7e_ard_3-0-0_095082_2015-06-23_final
2015-07-05 11:52:05	ga_ls7e_ard_3-0-0_115078_2015-07-05_final
2016-03-21 09:54:31	ga_ls7e_ard_3-0-0_095087_2016-03-21_final
2016-10-31 09:49:28	ga_ls7e_ard_3-1-0_095073_2016-10-31_final
2017-07-30 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-07-30_final
2018-07-17 09:51:05	ga_ls7e_ard_3-0-0_095086_2018-07-17_final
2019-01-21 11:47:24	ga_ls7e_ard_3-0-0_115079_2019-01-21_final
2019-05-01 09:41:17	ga_ls7e_ard_3-0-0_095081_2019-05-01_final
2020-07-22 09:17:27	ga_ls7e_ard_3-1-0_095076_2020-07-21_final
2021-02-16 09:48:25	ga_ls7e_ard_3-2-0_102081_2021-02-16_final
2021-02-17 10:32:00	ga_ls7e_ard_3-2-0_109082_2021-02-17_final
2021-03-12 10:34:00	ga_ls7e_ard_3-2-0_110076_2021-03-12_final
2021-03-30 08:43:43	ga_ls7e_ard_3-2-0_092082_2021-03-29_final
2021-04-09 10:52:52	ga_ls7e_ard_3-2-0_114067_2021-04-09_final
2021-05-31 10:27:20	ga_ls7e_ard_3-2-0_110076_2021-05-31_final
2021-06-08 09:37:38	ga_ls7e_ard_3-2-0_102077_2021-06-08_final
2021-06-09 10:19:37	ga_ls7e_ard_3-2-0_109074_2021-06-09_final
2021-06-11 10:07:06	ga_ls7e_ard_3-2-0_107074_2021-06-11_final
2021-06-13 08:17:42	ga_ls7e_ard_3-2-0_089079_2021-06-12_final
2021-07-07 09:07:08	ga_ls7e_ard_3-2-0_097084_2021-07-06_final
2021-07-14 09:09:31	ga_ls7e_ard_3-2-0_098076_2021-07-13_final
2021-07-19 09:29:38	ga_ls7e_ard_3-2-0_101081_2021-07-18_final
2021-07-23 09:03:22	ga_ls7e_ard_3-2-0_097078_2021-07-22_final
2021-07-24 09:44:33	ga_ls7e_ard_3-2-0_104073_2021-07-24_final
2021-07-25 08:51:38	ga_ls7e_ard_3-2-0_095080_2021-07-24_final
2021-07-29 08:25:22	ga_ls7e_ard_3-2-0_091077_2021-07-28_final
2021-08-07 08:18:23	ga_ls7e_ard_3-2-0_090077_2021-08-06_final
2021-08-07 09:56:04	ga_ls7e_ard_3-2-0_106074_2021-08-07_final
2021-08-15 09:08:19	ga_ls7e_ard_3-2-0_098080_2021-08-14_final
2021-08-17 08:56:58	ga_ls7e_ard_3-2-0_096083_2021-08-16_final
2021-08-19 10:18:08	ga_ls7e_ard_3-2-0_110070_2021-08-19_final
2021-08-19 10:23:19	ga_ls7e_ard_3-2-0_110083_2021-08-19_final
2021-08-22 09:12:17	ga_ls7e_ard_3-2-0_099076_2021-08-21_final
2021-09-04 10:17:57	ga_ls7e_ard_3-2-0_110073_2021-09-04_final
2021-09-08 09:52:05	ga_ls7e_ard_3-2-0_106071_2021-09-08_final
2021-09-14 09:16:28	ga_ls7e_ard_3-2-0_100076_2021-09-13_final
2021-09-22 10:04:23	ga_ls7e_ard_3-2-0_108074_2021-09-22_final
2021-10-03 08:09:59	ga_ls7e_ard_3-2-0_089084_2021-10-02_final
2021-10-07 09:20:12	ga_ls7e_ard_3-2-0_101075_2021-10-06_final
2021-10-08 10:06:58	ga_ls7e_ard_3-2-0_108084_2021-10-08_final
2021-10-23 09:17:10	ga_ls7e_ard_3-2-0_101071_2021-10-22_final
2021-10-27 08:56:29	ga_ls7e_ard_3-2-0_097082_2021-10-26_final
2021-10-28 09:34:27	ga_ls7e_ard_3-2-0_104069_2021-10-28_final
2021-11-03 09:00:49	ga_ls7e_ard_3-2-0_098079_2021-11-02_final
2021-11-13 09:33:20	ga_ls7e_ard_3-2-1_104070_2021-11-13_final
2021-11-14 10:17:42	ga_ls7e_ard_3-2-1_111073_2021-11-14_final
2021-11-17 09:10:37	ga_ls7e_ard_3-2-1_100076_2021-11-16_final
2021-11-18 08:18:06	ga_ls7e_ard_3-2-1_091084_2021-11-17_final
2021-12-04 08:13:23	ga_ls7e_ard_3-2-1_091076_2021-12-03_final
2021-12-14 10:30:47	ga_ls7e_ard_3-2-1_113082_2021-12-14_final
2021-12-20 09:50:20	ga_ls7e_ard_3-2-1_107075_2021-12-20_final
2021-12-21 10:34:18	ga_ls7e_ard_3-2-1_114077_2021-12-21_final
2021-12-21 10:35:29	ga_ls7e_ard_3-2-1_114080_2021-12-21_final
2021-12-25 10:07:59	ga_ls7e_ard_3-2-1_110074_2021-12-25_final
2021-12-29 09:44:03	ga_ls7e_ard_3-2-1_106077_2021-12-29_final
2021-12-30 10:29:36	ga_ls7e_ard_3-2-1_113083_2021-12-30_final
2022-01-03 08:26:24	ga_ls7e_ard_3-2-1_093085_2022-01-02_final
2022-01-21 09:46:01	ga_ls7e_ard_3-2-1_107072_2022-01-21_final
2022-01-22 08:51:54	ga_ls7e_ard_3-2-1_098076_2022-01-21_final
2022-01-23 09:31:52	ga_ls7e_ard_3-2-1_105068_2022-01-23_final
2022-01-26 08:26:00	ga_ls7e_ard_3-2-1_094074_2022-01-25_final
2022-01-26 08:29:35	ga_ls7e_ard_3-2-1_094083_2022-01-25_final
2022-01-31 10:25:19	ga_ls7e_ard_3-2-1_113080_2022-01-31_final
2022-02-07 08:47:07	ga_ls7e_ard_3-2-1_098068_2022-02-06_final
2022-02-12 09:06:20	ga_ls7e_ard_3-2-1_101071_2022-02-11_final
2022-02-22 08:09:32	ga_ls7e_ard_3-2-1_091086_2022-02-21_final
2022-02-22 09:42:02	ga_ls7e_ard_3-2-1_107070_2022-02-22_final
2022-03-02 08:50:38	ga_ls7e_ard_3-2-1_099067_2022-03-01_final
2022-03-03 09:40:10	ga_ls7e_ard_3-2-1_106083_2022-03-03_final
2022-03-05 09:23:37	ga_ls7e_ard_3-2-1_104073_2022-03-04_final
2022-03-28 09:25:58	ga_ls7e_ard_3-2-1_105069_2022-03-27_final
2022-04-04 09:35:51	ga_ls7e_ard_3-2-1_106080_2022-04-04_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