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
2000-05-18 09:05:00	ga_ls7e_ard_3-1-0_089081_2000-05-17_final
2000-10-09 09:03:17	ga_ls7e_ard_3-1-0_089081_2000-10-08_final
2001-05-14 10:31:07	ga_ls7e_ard_3-1-0_104070_2001-05-14_final
2002-07-04 10:29:40	ga_ls7e_ard_3-1-0_104070_2002-07-04_final
2002-11-09 10:29:07	ga_ls7e_ard_3-1-0_104070_2002-11-09_final
2003-04-21 11:05:15	ga_ls7e_ard_3-1-0_109081_2003-04-21_final
2004-05-26 10:10:04	ga_ls7e_ard_3-1-0_100081_2004-05-26_final
2005-03-06 10:30:55	ga_ls7e_ard_3-1-0_104070_2005-03-06_final
2005-04-23 10:34:22	ga_ls7e_ard_3-1-0_104079_2005-04-23_final
2007-04-05 11:24:47	ga_ls7e_ard_3-1-0_112079_2007-04-05_final
2007-12-19 09:34:56	ga_ls7e_ard_3-1-0_094083_2007-12-19_final
2008-04-15 10:31:21	ga_ls7e_ard_3-1-0_104070_2008-04-15_final
2008-05-31 09:09:22	ga_ls7e_ard_3-1-0_090082_2008-05-30_final
2009-08-27 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-26_final
2009-12-05 09:06:57	ga_ls7e_ard_3-1-0_089089_2009-12-04_final
2010-02-19 09:29:59	ga_ls7e_ard_3-1-0_093082_2010-02-18_final
2011-01-21 09:30:10	ga_ls7e_ard_3-1-0_093079_2011-01-21_final
2011-03-31 11:27:04	ga_ls7e_ard_3-1-0_112077_2011-03-31_final
2012-02-26 10:15:02	ga_ls7e_ard_3-1-0_100081_2012-02-26_final
2012-04-10 10:35:16	ga_ls7e_ard_3-1-0_104070_2012-04-10_final
2012-10-23 10:16:42	ga_ls7e_ard_3-1-0_100081_2012-10-23_final
2013-12-28 09:34:51	ga_ls7e_ard_3-1-0_093083_2013-12-28_final
2014-03-07 11:31:03	ga_ls7e_ard_3-1-0_112079_2014-03-07_final
2016-01-16 10:42:52	ga_ls7e_ard_3-1-0_104070_2016-01-16_final
2017-09-25 09:47:12	ga_ls7e_ard_3-1-0_094083_2017-09-25_final
2018-03-26 10:42:17	ga_ls7e_ard_3-1-0_104070_2018-03-26_final
2018-07-04 10:20:14	ga_ls7e_ard_3-1-0_100081_2018-07-04_final
2018-10-14 09:41:50	ga_ls7e_ard_3-1-0_094083_2018-10-14_final
2018-10-24 10:17:54	ga_ls7e_ard_3-1-0_100081_2018-10-24_final
2019-02-18 10:30:47	ga_ls7e_ard_3-1-0_103075_2019-02-18_final
2019-02-25 10:38:21	ga_ls7e_ard_3-1-0_104079_2019-02-25_final
2019-02-28 11:09:09	ga_ls7e_ard_3-1-0_109079_2019-02-28_final
2019-03-18 10:57:01	ga_ls7e_ard_3-1-0_107081_2019-03-18_final
2019-07-13 09:29:59	ga_ls7e_ard_3-1-0_094075_2019-07-12_final
2019-09-05 10:30:45	ga_ls7e_ard_3-1-0_104078_2019-09-05_final
2019-09-15 09:28:06	ga_ls7e_ard_3-1-0_094077_2019-09-14_final
2019-09-18 09:58:04	ga_ls7e_ard_3-1-0_099075_2019-09-18_final
2019-09-21 10:30:50	ga_ls7e_ard_3-1-0_104080_2019-09-21_final
2019-09-21 10:31:14	ga_ls7e_ard_3-1-0_104081_2019-09-21_final
2019-09-24 09:23:31	ga_ls7e_ard_3-1-0_093082_2019-09-23_final
2019-10-06 11:25:26	ga_ls7e_ard_3-1-0_113079_2019-10-06_final
2019-10-07 10:30:10	ga_ls7e_ard_3-1-0_104080_2019-10-07_final
2019-10-11 10:04:53	ga_ls7e_ard_3-1-0_100079_2019-10-11_final
2019-10-17 09:26:45	ga_ls7e_ard_3-1-0_094077_2019-10-16_final
2019-10-17 09:27:09	ga_ls7e_ard_3-1-0_094078_2019-10-16_final
2019-11-02 09:26:51	ga_ls7e_ard_3-1-0_094079_2019-11-01_final
2019-11-11 09:20:40	ga_ls7e_ard_3-1-0_093080_2019-11-10_final
2019-11-29 10:45:32	ga_ls7e_ard_3-1-0_107078_2019-11-29_final
2019-12-03 10:19:25	ga_ls7e_ard_3-1-0_103075_2019-12-03_final
2019-12-03 10:21:01	ga_ls7e_ard_3-1-0_103079_2019-12-03_final
2019-12-29 09:19:05	ga_ls7e_ard_3-1-0_093082_2019-12-28_final
2020-01-14 09:18:16	ga_ls7e_ard_3-1-0_093082_2020-01-13_final
2020-01-21 09:22:55	ga_ls7e_ard_3-1-0_094079_2020-01-20_final
2020-02-11 11:18:52	ga_ls7e_ard_3-1-0_113078_2020-02-11_final
2020-02-20 11:11:50	ga_ls7e_ard_3-1-0_112077_2020-02-20_final
2020-03-08 10:14:30	ga_ls7e_ard_3-1-0_103075_2020-03-08_final
2020-03-24 10:13:37	ga_ls7e_ard_3-1-0_103075_2020-03-24_final
2020-04-05 10:38:51	ga_ls7e_ard_3-1-0_107078_2020-04-05_final
2020-04-10 09:18:38	ga_ls7e_ard_3-1-0_094079_2020-04-09_final
2020-04-29 09:46:25	ga_ls7e_ard_3-1-0_099074_2020-04-29_final
2020-04-30 08:53:08	ga_ls7e_ard_3-1-0_090080_2020-04-29_final
2020-08-12 09:33:53	ga_ls7e_ard_3-1-0_098074_2020-08-12_final
2020-08-15 10:06:59	ga_ls7e_ard_3-1-0_103080_2020-08-15_final
2020-08-23 10:54:19	ga_ls7e_ard_3-1-0_111076_2020-08-23_final
2020-09-01 09:09:28	ga_ls7e_ard_3-1-0_094078_2020-08-31_final
2020-09-15 09:20:54	ga_ls7e_ard_3-1-0_096078_2020-09-14_final
2020-09-20 09:37:30	ga_ls7e_ard_3-1-0_099074_2020-09-20_final
2020-10-01 09:19:04	ga_ls7e_ard_3-1-0_096076_2020-09-30_final
2020-10-03 09:07:22	ga_ls7e_ard_3-1-0_094078_2020-10-02_final
2020-10-08 09:24:24	ga_ls7e_ard_3-1-0_097075_2020-10-07_final
2020-10-10 10:51:35	ga_ls7e_ard_3-1-0_111077_2020-10-10_final
2020-10-17 10:57:43	ga_ls7e_ard_3-1-0_112078_2020-10-17_final
2020-10-29 09:41:34	ga_ls7e_ard_3-1-0_100075_2020-10-29_final
2020-11-06 08:54:47	ga_ls7e_ard_3-1-0_092083_2020-11-05_final
2020-11-11 09:10:11	ga_ls7e_ard_3-1-0_095076_2020-11-10_final
2020-11-11 09:11:23	ga_ls7e_ard_3-1-0_095079_2020-11-10_final
2020-11-12 09:54:34	ga_ls7e_ard_3-1-0_102079_2020-11-12_final
2020-11-13 10:38:09	ga_ls7e_ard_3-1-0_109080_2020-11-13_final
2020-11-18 09:18:40	ga_ls7e_ard_3-1-0_096083_2020-11-17_final
2020-12-14 09:52:39	ga_ls7e_ard_3-1-0_102080_2020-12-14_final
2020-12-24 10:28:10	ga_ls7e_ard_3-1-0_108078_2020-12-24_final
2021-01-09 10:26:40	ga_ls7e_ard_3-1-0_108077_2021-01-09_final
2021-02-22 10:48:34	ga_ls7e_ard_3-2-0_112078_2021-02-22_final
2021-03-01 09:13:20	ga_ls7e_ard_3-2-0_097073_2021-02-28_final
2021-03-09 10:04:08	ga_ls7e_ard_3-2-0_105078_2021-03-09_final
2021-03-10 10:46:31	ga_ls7e_ard_3-2-0_112076_2021-03-10_final
2021-03-11 09:52:01	ga_ls7e_ard_3-2-0_103079_2021-03-11_final
2021-03-26 09:09:09	ga_ls7e_ard_3-2-0_096083_2021-03-25_final
2021-03-28 10:33:55	ga_ls7e_ard_3-2-0_110079_2021-03-28_final
2021-04-02 09:12:22	ga_ls7e_ard_3-2-0_097077_2021-04-01_final
2021-04-04 10:39:07	ga_ls7e_ard_3-2-0_111078_2021-04-04_final
2021-04-09 10:56:27	ga_ls7e_ard_3-2-0_114076_2021-04-09_final
2021-04-15 08:41:35	ga_ls7e_ard_3-2-0_092080_2021-04-14_final
2021-04-20 08:59:18	ga_ls7e_ard_3-2-0_095079_2021-04-19_final
2021-04-21 09:39:41	ga_ls7e_ard_3-2-0_102072_2021-04-21_final
2021-04-21 09:41:17	ga_ls7e_ard_3-2-0_102076_2021-04-21_final
2021-04-28 09:45:40	ga_ls7e_ard_3-2-0_103073_2021-04-28_final
2021-04-30 09:35:32	ga_ls7e_ard_3-2-0_101079_2021-04-30_final
2021-05-07 09:39:56	ga_ls7e_ard_3-2-0_102076_2021-05-07_final
2021-05-08 08:45:26	ga_ls7e_ard_3-2-0_093079_2021-05-07_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