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
2002-07-02 10:44:01	ga_ls7e_ard_3-1-0_106075_2002-07-02_final
2002-11-07 10:43:28	ga_ls7e_ard_3-1-0_106075_2002-11-07_final
2003-07-17 11:07:40	ga_ls7e_ard_3-1-0_110072_2003-07-17_final
2004-08-04 09:27:02	ga_ls7e_ard_3-1-0_094067_2004-08-03_final
2004-09-05 09:26:56	ga_ls7e_ard_3-1-0_094067_2004-09-04_final
2004-09-15 10:05:32	ga_ls7e_ard_3-1-0_100071_2004-09-15_final
2004-11-24 11:08:09	ga_ls7e_ard_3-1-0_110072_2004-11-24_final
2005-01-20 11:05:55	ga_ls7e_ard_3-1-0_109081_2005-01-20_final
2005-06-20 09:30:03	ga_ls7e_ard_3-1-0_094073_2005-06-20_final
2005-10-27 10:13:58	ga_ls7e_ard_3-1-0_101075_2005-10-27_final
2006-01-11 09:02:45	ga_ls7e_ard_3-1-0_089081_2006-01-10_final
2006-01-18 10:45:29	ga_ls7e_ard_3-1-0_106075_2006-01-18_final
2006-02-10 10:52:12	ga_ls7e_ard_3-1-0_107076_2006-02-10_final
2006-05-31 09:30:05	ga_ls7e_ard_3-1-0_093087_2006-05-31_final
2006-06-20 09:02:53	ga_ls7e_ard_3-1-0_089081_2006-06-19_final
2006-08-07 09:02:36	ga_ls7e_ard_3-1-0_089081_2006-08-06_final
2007-01-17 11:09:19	ga_ls7e_ard_3-1-0_110072_2007-01-17_final
2007-03-19 09:03:27	ga_ls7e_ard_3-1-0_089081_2007-03-18_final
2007-09-07 09:29:54	ga_ls7e_ard_3-1-0_093087_2007-09-06_final
2007-09-30 11:08:51	ga_ls7e_ard_3-1-0_110072_2007-09-30_final
2009-02-04 09:02:42	ga_ls7e_ard_3-1-0_089081_2009-02-03_final
2009-03-09 11:22:22	ga_ls7e_ard_3-1-0_112074_2009-03-09_final
2010-01-09 11:10:32	ga_ls7e_ard_3-1-0_110072_2010-01-09_final
2010-03-18 09:14:02	ga_ls7e_ard_3-1-0_090088_2010-03-17_final
2010-11-07 11:28:28	ga_ls7e_ard_3-1-0_112083_2010-11-07_final
2011-09-25 11:12:21	ga_ls7e_ard_3-1-0_110072_2011-09-25_final
2012-02-04 09:14:46	ga_ls7e_ard_3-1-0_090085_2012-02-03_final
2012-02-13 09:07:02	ga_ls7e_ard_3-1-0_089081_2012-02-12_final
2012-03-12 09:26:09	ga_ls7e_ard_3-1-0_093067_2012-03-11_final
2012-03-23 10:49:43	ga_ls7e_ard_3-1-0_106075_2012-03-23_final
2013-01-05 09:16:51	ga_ls7e_ard_3-1-0_090085_2013-01-04_final
2014-05-16 09:18:01	ga_ls7e_ard_3-1-0_090085_2014-05-15_final
2014-06-26 09:13:34	ga_ls7e_ard_3-1-0_089089_2014-06-25_final
2015-02-28 09:19:33	ga_ls7e_ard_3-1-0_090085_2015-02-27_final
2015-12-25 11:20:25	ga_ls7e_ard_3-1-0_110072_2015-12-25_final
2015-12-31 10:42:37	ga_ls7e_ard_3-1-0_104070_2015-12-31_final
2016-08-09 10:58:12	ga_ls7e_ard_3-1-0_106075_2016-08-09_final
2017-07-07 11:21:46	ga_ls7e_ard_3-1-0_110072_2017-07-07_final
2017-08-12 09:23:18	ga_ls7e_ard_3-1-0_090085_2017-08-11_final
2017-11-16 10:58:10	ga_ls7e_ard_3-1-0_106075_2017-11-16_final
2018-06-02 10:16:51	ga_ls7e_ard_3-1-0_100071_2018-06-02_final
2018-09-16 10:53:29	ga_ls7e_ard_3-1-0_106075_2018-09-16_final
2018-11-19 09:15:55	ga_ls7e_ard_3-1-0_090082_2018-11-18_final
2018-12-30 09:08:12	ga_ls7e_ard_3-1-0_089081_2018-12-29_final
2019-01-19 10:18:09	ga_ls7e_ard_3-1-0_101072_2019-01-19_final
2019-02-17 11:26:02	ga_ls7e_ard_3-1-0_112074_2019-02-17_final
2019-02-22 10:04:45	ga_ls7e_ard_3-1-0_099072_2019-02-22_final
2019-02-28 11:07:33	ga_ls7e_ard_3-1-0_109075_2019-02-28_final
2019-03-11 09:14:10	ga_ls7e_ard_3-1-0_090086_2019-03-10_final
2019-03-16 11:06:39	ga_ls7e_ard_3-1-0_109074_2019-03-16_final
2019-03-20 09:04:30	ga_ls7e_ard_3-1-0_089078_2019-03-19_final
2019-03-28 11:30:58	ga_ls7e_ard_3-1-0_113074_2019-03-28_final
2019-09-11 09:51:00	ga_ls7e_ard_3-1-0_098072_2019-09-11_final
2019-09-12 08:58:56	ga_ls7e_ard_3-1-0_089081_2019-09-11_final
2019-09-15 11:04:11	ga_ls7e_ard_3-1-0_110070_2019-09-15_final
2019-09-30 10:19:29	ga_ls7e_ard_3-1-0_103068_2019-09-30_final
2019-09-30 10:24:40	ga_ls7e_ard_3-1-0_103081_2019-09-30_final
2019-10-01 11:04:18	ga_ls7e_ard_3-1-0_110072_2019-10-01_final
2019-10-04 09:55:24	ga_ls7e_ard_3-1-0_099070_2019-10-04_final
2019-10-13 09:51:38	ga_ls7e_ard_3-1-0_098077_2019-10-13_final
2019-10-16 10:18:49	ga_ls7e_ard_3-1-0_103068_2019-10-16_final
2019-10-20 09:55:08	ga_ls7e_ard_3-1-0_099071_2019-10-20_final
2019-10-20 09:55:31	ga_ls7e_ard_3-1-0_099072_2019-10-20_final
2019-10-24 11:10:19	ga_ls7e_ard_3-1-0_111074_2019-10-24_final
2019-10-29 11:31:26	ga_ls7e_ard_3-1-0_114081_2019-10-29_final
2019-10-30 08:58:53	ga_ls7e_ard_3-1-0_089086_2019-10-29_final
2019-11-06 10:36:50	ga_ls7e_ard_3-1-0_106069_2019-11-06_final
2019-11-11 10:55:57	ga_ls7e_ard_3-1-0_109071_2019-11-11_final
2019-11-13 10:44:42	ga_ls7e_ard_3-1-0_107074_2019-11-13_final
2019-11-14 09:47:50	ga_ls7e_ard_3-1-0_098071_2019-11-14_final
2019-11-14 11:30:42	ga_ls7e_ard_3-1-0_114081_2019-11-14_final
2019-11-22 09:04:00	ga_ls7e_ard_3-1-0_090086_2019-11-21_final
2019-11-23 09:40:50	ga_ls7e_ard_3-1-0_097070_2019-11-23_final
2019-11-29 10:42:20	ga_ls7e_ard_3-1-0_107070_2019-11-29_final
2019-11-30 09:47:28	ga_ls7e_ard_3-1-0_098072_2019-11-30_final
2019-11-30 11:29:56	ga_ls7e_ard_3-1-0_114081_2019-11-30_final
2019-12-07 09:51:18	ga_ls7e_ard_3-1-0_099067_2019-12-07_final
2019-12-09 11:20:31	ga_ls7e_ard_3-1-0_113074_2019-12-09_final
2019-12-15 10:41:33	ga_ls7e_ard_3-1-0_107070_2019-12-15_final
2019-12-16 09:44:41	ga_ls7e_ard_3-1-0_098067_2019-12-16_final
2019-12-17 08:56:11	ga_ls7e_ard_3-1-0_089085_2019-12-16_final
2019-12-29 10:54:47	ga_ls7e_ard_3-1-0_109074_2019-12-29_final
2020-01-01 09:47:50	ga_ls7e_ard_3-1-0_098077_2020-01-01_final
2020-01-10 11:19:40	ga_ls7e_ard_3-1-0_113076_2020-01-10_final
2020-01-17 09:49:26	ga_ls7e_ard_3-1-0_098083_2020-01-17_final
2020-01-22 10:07:43	ga_ls7e_ard_3-1-0_101083_2020-01-22_final
2020-01-30 09:14:41	ga_ls7e_ard_3-1-0_093075_2020-01-29_final
2020-02-10 08:57:11	ga_ls7e_ard_3-1-0_090079_2020-02-09_final
2020-02-19 08:52:56	ga_ls7e_ard_3-1-0_089085_2020-02-18_final
2020-02-21 10:17:21	ga_ls7e_ard_3-1-0_103080_2020-02-21_final
2020-02-23 10:06:05	ga_ls7e_ard_3-1-0_101083_2020-02-23_final
2020-03-05 09:45:45	ga_ls7e_ard_3-1-0_098080_2020-03-05_final
2020-03-05 11:25:02	ga_ls7e_ard_3-1-0_114081_2020-03-05_final
2020-03-08 10:16:54	ga_ls7e_ard_3-1-0_103081_2020-03-08_final
2020-03-09 10:57:42	ga_ls7e_ard_3-1-0_110075_2020-03-09_final
2020-03-16 11:05:30	ga_ls7e_ard_3-1-0_111080_2020-03-16_final
2020-03-21 11:18:34	ga_ls7e_ard_3-1-0_114067_2020-03-21_final
2020-03-28 09:50:40	ga_ls7e_ard_3-1-0_099080_2020-03-28_final
2020-04-23 08:46:58	ga_ls7e_ard_3-1-0_089079_2020-04-22_final
2022-03-22 08:26:19	ga_ls7e_ard_3-2-1_095073_2022-03-21_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