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
2003-11-16 10:09:29	ga_ls7e_ard_3-1-0_100081_2003-11-16_final
2004-05-15 10:28:14	ga_ls7e_ard_3-1-0_103080_2004-05-15_final
2006-09-30 10:04:08	ga_ls7e_ard_3-1-0_099081_2006-09-30_final
2006-10-19 10:30:46	ga_ls7e_ard_3-1-0_104070_2006-10-19_final
2007-01-31 11:23:48	ga_ls7e_ard_3-1-0_112077_2007-01-31_final
2007-02-21 10:01:11	ga_ls7e_ard_3-1-0_099071_2007-02-21_final
2007-04-16 09:28:56	ga_ls7e_ard_3-1-0_093083_2007-04-15_final
2008-01-04 09:34:58	ga_ls7e_ard_3-1-0_094083_2008-01-04_final
2008-05-30 10:05:48	ga_ls7e_ard_3-1-0_099084_2008-05-30_final
2008-07-02 09:09:03	ga_ls7e_ard_3-1-0_090082_2008-07-01_final
2008-08-05 10:30:27	ga_ls7e_ard_3-1-0_104070_2008-08-05_final
2008-09-06 10:30:13	ga_ls7e_ard_3-1-0_104070_2008-09-06_final
2009-05-04 10:31:38	ga_ls7e_ard_3-1-0_104070_2009-05-04_final
2009-11-16 10:11:07	ga_ls7e_ard_3-1-0_100080_2009-11-16_final
2009-12-02 10:11:18	ga_ls7e_ard_3-1-0_100080_2009-12-02_final
2010-02-20 10:12:51	ga_ls7e_ard_3-1-0_100081_2010-02-20_final
2010-03-07 09:30:31	ga_ls7e_ard_3-1-0_093083_2010-03-07_final
2010-05-23 10:33:20	ga_ls7e_ard_3-1-0_104070_2010-05-23_final
2010-06-27 09:30:37	ga_ls7e_ard_3-1-0_093083_2010-06-27_final
2010-11-15 10:33:57	ga_ls7e_ard_3-1-0_104070_2010-11-15_final
2011-03-17 09:38:10	ga_ls7e_ard_3-1-0_094083_2011-03-17_final
2011-06-11 10:34:49	ga_ls7e_ard_3-1-0_104070_2011-06-11_final
2012-05-28 10:35:45	ga_ls7e_ard_3-1-0_104070_2012-05-28_final
2012-09-01 10:36:32	ga_ls7e_ard_3-1-0_104070_2012-09-01_final
2012-11-20 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-11-20_final
2013-11-23 10:37:27	ga_ls7e_ard_3-1-0_104070_2013-11-23_final
2014-06-19 10:38:38	ga_ls7e_ard_3-1-0_104070_2014-06-19_final
2014-07-21 10:38:47	ga_ls7e_ard_3-1-0_104070_2014-07-21_final
2014-12-28 10:39:44	ga_ls7e_ard_3-1-0_104070_2014-12-28_final
2015-06-22 10:40:50	ga_ls7e_ard_3-1-0_104070_2015-06-22_final
2015-09-10 10:41:08	ga_ls7e_ard_3-1-0_104070_2015-09-10_final
2015-10-12 10:41:22	ga_ls7e_ard_3-1-0_104070_2015-10-12_final
2016-01-20 10:22:35	ga_ls7e_ard_3-1-0_100081_2016-01-20_final
2016-04-21 10:43:32	ga_ls7e_ard_3-1-0_104070_2016-04-21_final
2016-08-21 09:47:15	ga_ls7e_ard_3-1-0_094083_2016-08-21_final
2016-11-15 10:43:46	ga_ls7e_ard_3-1-0_104070_2016-11-15_final
2016-12-01 10:43:44	ga_ls7e_ard_3-1-0_104070_2016-12-01_final
2017-06-16 11:02:47	ga_ls7e_ard_3-1-0_107071_2017-06-16_final
2017-07-13 10:43:53	ga_ls7e_ard_3-1-0_104070_2017-07-13_final
2017-10-15 09:22:07	ga_ls7e_ard_3-1-0_090082_2017-10-14_final
2017-11-21 09:42:35	ga_ls7e_ard_3-1-0_093087_2017-11-21_final
2017-12-04 10:43:42	ga_ls7e_ard_3-1-0_104070_2017-12-04_final
2018-01-05 10:45:20	ga_ls7e_ard_3-1-0_104075_2018-01-05_final
2018-06-14 10:40:57	ga_ls7e_ard_3-1-0_104070_2018-06-14_final
2019-02-19 09:34:44	ga_ls7e_ard_3-1-0_094074_2019-02-19_final
2019-02-28 09:32:16	ga_ls7e_ard_3-1-0_093084_2019-02-28_final
2019-03-06 10:29:29	ga_ls7e_ard_3-1-0_103073_2019-03-06_final
2019-03-16 09:31:21	ga_ls7e_ard_3-1-0_093083_2019-03-16_final
2019-07-06 09:28:52	ga_ls7e_ard_3-1-0_093087_2019-07-05_final
2019-08-28 11:19:44	ga_ls7e_ard_3-1-0_112076_2019-08-28_final
2019-08-29 10:20:53	ga_ls7e_ard_3-1-0_103068_2019-08-29_final
2019-08-30 09:32:48	ga_ls7e_ard_3-1-0_094087_2019-08-30_final
2019-09-02 09:56:23	ga_ls7e_ard_3-1-0_099069_2019-09-02_final
2019-09-15 09:29:42	ga_ls7e_ard_3-1-0_094081_2019-09-14_final
2019-09-26 10:50:45	ga_ls7e_ard_3-1-0_107084_2019-09-26_final
2019-09-29 11:18:20	ga_ls7e_ard_3-1-0_112076_2019-09-29_final
2019-10-04 09:55:24	ga_ls7e_ard_3-1-0_099070_2019-10-04_final
2019-10-16 10:23:36	ga_ls7e_ard_3-1-0_103080_2019-10-16_final
2019-10-17 09:27:33	ga_ls7e_ard_3-1-0_094079_2019-10-16_final
2019-10-23 10:28:17	ga_ls7e_ard_3-1-0_104077_2019-10-23_final
2019-10-26 09:18:59	ga_ls7e_ard_3-1-0_093074_2019-10-25_final
2019-10-28 10:44:37	ga_ls7e_ard_3-1-0_107072_2019-10-28_final
2019-10-31 11:18:59	ga_ls7e_ard_3-1-0_112081_2019-10-31_final
2019-11-01 10:20:07	ga_ls7e_ard_3-1-0_103073_2019-11-01_final
2019-11-05 09:59:36	ga_ls7e_ard_3-1-0_099084_2019-11-05_final
2019-11-06 09:02:45	ga_ls7e_ard_3-1-0_090081_2019-11-05_final
2019-11-11 09:21:27	ga_ls7e_ard_3-1-0_093082_2019-11-10_final
2019-11-11 09:23:03	ga_ls7e_ard_3-1-0_093086_2019-11-10_final
2019-11-18 09:26:55	ga_ls7e_ard_3-1-0_094081_2019-11-17_final
2019-11-27 09:17:55	ga_ls7e_ard_3-1-0_093075_2019-11-26_final
2019-11-28 10:03:55	ga_ls7e_ard_3-1-0_100082_2019-11-28_final
2019-12-03 10:18:13	ga_ls7e_ard_3-1-0_103072_2019-12-03_final
2019-12-04 09:27:20	ga_ls7e_ard_3-1-0_094084_2019-12-03_final
2019-12-13 09:21:07	ga_ls7e_ard_3-1-0_093085_2019-12-12_final
2019-12-19 10:17:49	ga_ls7e_ard_3-1-0_103073_2019-12-19_final
2019-12-19 10:19:01	ga_ls7e_ard_3-1-0_103076_2019-12-19_final
2019-12-31 10:41:07	ga_ls7e_ard_3-1-0_107071_2019-12-31_final
2020-01-04 10:18:11	ga_ls7e_ard_3-1-0_103076_2020-01-04_final
2020-01-08 09:55:15	ga_ls7e_ard_3-1-0_099081_2020-01-08_final
2020-01-15 09:59:53	ga_ls7e_ard_3-1-0_100078_2020-01-15_final
2020-01-27 10:20:49	ga_ls7e_ard_3-1-0_104070_2020-01-27_final
2020-01-31 09:57:06	ga_ls7e_ard_3-1-0_100073_2020-01-31_final
2020-02-05 10:14:35	ga_ls7e_ard_3-1-0_103071_2020-02-05_final
2020-02-17 10:38:41	ga_ls7e_ard_3-1-0_107071_2020-02-17_final
2020-02-21 10:14:33	ga_ls7e_ard_3-1-0_103073_2020-02-21_final
2020-03-09 09:20:49	ga_ls7e_ard_3-1-0_094080_2020-03-08_final
2020-03-18 09:15:44	ga_ls7e_ard_3-1-0_093084_2020-03-17_final
2020-03-19 09:53:46	ga_ls7e_ard_3-1-0_100071_2020-03-19_final
2020-03-19 09:58:33	ga_ls7e_ard_3-1-0_100083_2020-03-19_final
2020-03-23 11:12:05	ga_ls7e_ard_3-1-0_112082_2020-03-23_final
2020-04-05 10:40:51	ga_ls7e_ard_3-1-0_107083_2020-04-05_final
2020-04-08 11:10:47	ga_ls7e_ard_3-1-0_112081_2020-04-08_final
2020-04-24 11:09:51	ga_ls7e_ard_3-1-0_112081_2020-04-24_final
2020-04-25 10:08:59	ga_ls7e_ard_3-1-0_103068_2020-04-25_final
2020-04-25 10:10:58	ga_ls7e_ard_3-1-0_103073_2020-04-25_final
2022-03-13 10:16:15	ga_ls7e_ard_3-2-1_112083_2022-03-13_final
2022-03-22 08:27:07	ga_ls7e_ard_3-2-1_095075_2022-03-21_final
2022-03-23 09:08:17	ga_ls7e_ard_3-2-1_102070_2022-03-22_final
2022-03-29 08:35:26	ga_ls7e_ard_3-2-1_096082_2022-03-28_final
2022-03-31 08:24:05	ga_ls7e_ard_3-2-1_094085_2022-03-30_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