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
1999-07-09 10:02:42	ga_ls7e_ard_3-1-0_099069_1999-07-09_final
2000-07-30 10:32:25	ga_ls7e_ard_3-1-0_104070_2000-07-30_final
2000-10-21 09:30:15	ga_ls7e_ard_3-1-0_093087_2000-10-21_final
2000-10-22 10:11:08	ga_ls7e_ard_3-1-0_100081_2000-10-22_final
2000-11-22 09:29:56	ga_ls7e_ard_3-1-0_093086_2000-11-21_final
2001-03-27 10:31:23	ga_ls7e_ard_3-1-0_104070_2001-03-27_final
2001-09-03 10:29:52	ga_ls7e_ard_3-1-0_104070_2001-09-03_final
2002-08-09 10:10:16	ga_ls7e_ard_3-1-0_100084_2002-08-09_final
2002-10-24 10:29:01	ga_ls7e_ard_3-1-0_104070_2002-10-24_final
2005-01-17 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-01-17_final
2005-02-18 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-02-18_final
2005-06-26 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-06-26_final
2005-08-16 09:27:45	ga_ls7e_ard_3-1-0_093083_2005-08-15_final
2005-08-29 10:34:03	ga_ls7e_ard_3-1-0_104079_2005-08-29_final
2005-09-14 10:30:17	ga_ls7e_ard_3-1-0_104070_2005-09-14_final
2005-12-06 09:28:02	ga_ls7e_ard_3-1-0_093083_2005-12-05_final
2006-06-16 09:28:26	ga_ls7e_ard_3-1-0_093083_2006-06-15_final
2006-11-04 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-11-04_final
2007-05-18 09:28:47	ga_ls7e_ard_3-1-0_093083_2007-05-17_final
2007-09-07 09:28:18	ga_ls7e_ard_3-1-0_093083_2007-09-06_final
2007-10-09 09:28:08	ga_ls7e_ard_3-1-0_093083_2007-10-08_final
2009-06-21 10:31:38	ga_ls7e_ard_3-1-0_104070_2009-06-21_final
2009-07-10 09:28:47	ga_ls7e_ard_3-1-0_093083_2009-07-09_final
2009-08-24 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-08-24_final
2010-01-18 09:29:59	ga_ls7e_ard_3-1-0_093083_2010-01-17_final
2010-09-12 10:33:31	ga_ls7e_ard_3-1-0_104070_2010-09-12_final
2010-11-02 09:30:58	ga_ls7e_ard_3-1-0_093083_2010-11-02_final
2011-02-03 10:34:38	ga_ls7e_ard_3-1-0_104070_2011-02-03_final
2012-04-13 09:34:05	ga_ls7e_ard_3-1-0_093087_2012-04-13_final
2013-03-12 10:37:22	ga_ls7e_ard_3-1-0_104070_2013-03-12_final
2013-06-03 09:34:09	ga_ls7e_ard_3-1-0_093083_2013-06-03_final
2013-07-21 09:30:11	ga_ls7e_ard_3-1-0_093074_2013-07-21_final
2013-08-19 10:40:09	ga_ls7e_ard_3-1-0_104079_2013-08-19_final
2014-06-03 10:38:37	ga_ls7e_ard_3-1-0_104070_2014-06-03_final
2015-04-22 09:37:39	ga_ls7e_ard_3-1-0_093083_2015-04-22_final
2016-05-07 10:43:37	ga_ls7e_ard_3-1-0_104070_2016-05-07_final
2016-11-18 09:40:58	ga_ls7e_ard_3-1-0_093083_2016-11-18_final
2018-05-13 10:41:29	ga_ls7e_ard_3-1-0_104070_2018-05-13_final
2018-11-21 10:37:36	ga_ls7e_ard_3-1-0_104070_2018-11-21_final
2019-02-22 10:08:44	ga_ls7e_ard_3-1-0_099082_2019-02-22_final
2019-02-25 10:37:57	ga_ls7e_ard_3-1-0_104078_2019-02-25_final
2019-03-16 09:31:45	ga_ls7e_ard_3-1-0_093084_2019-03-16_final
2019-03-16 09:32:33	ga_ls7e_ard_3-1-0_093086_2019-03-16_final
2019-03-18 10:57:25	ga_ls7e_ard_3-1-0_107082_2019-03-18_final
2019-08-25 10:47:46	ga_ls7e_ard_3-1-0_107073_2019-08-25_final
2019-09-02 09:57:59	ga_ls7e_ard_3-1-0_099073_2019-09-02_final
2019-09-02 09:59:11	ga_ls7e_ard_3-1-0_099076_2019-09-02_final
2019-09-02 10:01:10	ga_ls7e_ard_3-1-0_099081_2019-09-02_final
2019-09-05 10:27:33	ga_ls7e_ard_3-1-0_104070_2019-09-05_final
2019-09-09 10:06:39	ga_ls7e_ard_3-1-0_100080_2019-09-09_final
2019-09-10 10:48:40	ga_ls7e_ard_3-1-0_107077_2019-09-10_final
2019-09-18 09:57:16	ga_ls7e_ard_3-1-0_099073_2019-09-18_final
2019-09-24 09:23:07	ga_ls7e_ard_3-1-0_093081_2019-09-23_final
2019-09-24 09:23:55	ga_ls7e_ard_3-1-0_093083_2019-09-23_final
2019-10-07 10:26:10	ga_ls7e_ard_3-1-0_104070_2019-10-07_final
2019-10-07 10:27:46	ga_ls7e_ard_3-1-0_104074_2019-10-07_final
2019-10-11 10:02:53	ga_ls7e_ard_3-1-0_100074_2019-10-11_final
2019-10-12 10:45:18	ga_ls7e_ard_3-1-0_107072_2019-10-12_final
2019-10-23 10:25:54	ga_ls7e_ard_3-1-0_104071_2019-10-23_final
2019-10-23 10:28:17	ga_ls7e_ard_3-1-0_104077_2019-10-23_final
2019-10-26 09:19:23	ga_ls7e_ard_3-1-0_093075_2019-10-25_final
2019-10-26 09:20:59	ga_ls7e_ard_3-1-0_093079_2019-10-25_final
2019-10-28 10:48:13	ga_ls7e_ard_3-1-0_107081_2019-10-28_final
2019-11-08 10:29:10	ga_ls7e_ard_3-1-0_104081_2019-11-08_final
2019-11-11 09:22:15	ga_ls7e_ard_3-1-0_093084_2019-11-10_final
2019-11-27 09:20:18	ga_ls7e_ard_3-1-0_093081_2019-11-26_final
2019-11-27 09:22:18	ga_ls7e_ard_3-1-0_093086_2019-11-26_final
2020-01-11 10:22:25	ga_ls7e_ard_3-1-0_104072_2020-01-11_final
2020-01-14 09:18:40	ga_ls7e_ard_3-1-0_093083_2020-01-13_final
2020-02-01 10:44:42	ga_ls7e_ard_3-1-0_107084_2020-02-01_final
2020-02-09 09:50:28	ga_ls7e_ard_3-1-0_099073_2020-02-09_final
2020-02-12 10:19:37	ga_ls7e_ard_3-1-0_104069_2020-02-12_final
2020-02-15 09:17:28	ga_ls7e_ard_3-1-0_093084_2020-02-14_final
2020-02-17 10:40:41	ga_ls7e_ard_3-1-0_107076_2020-02-17_final
2020-02-17 10:41:05	ga_ls7e_ard_3-1-0_107077_2020-02-17_final
2020-03-04 10:41:02	ga_ls7e_ard_3-1-0_107079_2020-03-04_final
2020-03-19 09:57:21	ga_ls7e_ard_3-1-0_100080_2020-03-19_final
2020-03-20 10:40:09	ga_ls7e_ard_3-1-0_107079_2020-03-20_final
2020-03-20 10:40:33	ga_ls7e_ard_3-1-0_107080_2020-03-20_final
2020-04-05 10:35:40	ga_ls7e_ard_3-1-0_107070_2020-04-05_final
2020-04-20 09:53:32	ga_ls7e_ard_3-1-0_100075_2020-04-20_final
2020-04-29 09:44:49	ga_ls7e_ard_3-1-0_099070_2020-04-29_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-14 09:18:32	ga_ls7e_ard_3-2-1_103078_2022-03-13_final
2022-03-19 09:36:10	ga_ls7e_ard_3-2-1_106077_2022-03-19_final
2022-03-19 09:38:10	ga_ls7e_ard_3-2-1_106082_2022-03-19_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_final
2022-03-20 10:18:33	ga_ls7e_ard_3-2-1_113075_2022-03-20_final
2022-03-21 09:24:02	ga_ls7e_ard_3-2-1_104078_2022-03-20_final
2022-03-21 09:24:50	ga_ls7e_ard_3-2-1_104080_2022-03-20_final
2022-03-22 10:03:12	ga_ls7e_ard_3-2-1_111068_2022-03-22_final
2022-03-24 08:14:10	ga_ls7e_ard_3-2-1_093074_2022-03-23_final
2022-03-24 08:16:34	ga_ls7e_ard_3-2-1_093080_2022-03-23_final
2022-03-25 09:00:08	ga_ls7e_ard_3-2-1_100081_2022-03-24_final
2022-03-27 08:46:47	ga_ls7e_ard_3-2-1_098079_2022-03-26_final
2022-03-27 10:24:52	ga_ls7e_ard_3-2-1_114077_2022-03-27_final
2022-03-28 09:29:09	ga_ls7e_ard_3-2-1_105077_2022-03-27_final
2022-03-29 08:35:50	ga_ls7e_ard_3-2-1_096083_2022-03-28_final
2022-04-02 08:08:44	ga_ls7e_ard_3-2-1_092078_2022-04-01_final
2022-04-02 09:49:12	ga_ls7e_ard_3-2-1_108082_2022-04-02_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