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
2000-09-10 11:09:48	ga_ls7e_ard_3-1-0_110072_2000-09-10_final
2000-10-05 11:06:56	ga_ls7e_ard_3-1-0_109081_2000-10-05_final
2003-03-27 09:29:16	ga_ls7e_ard_3-1-0_094073_2003-03-26_final
2003-07-21 09:11:13	ga_ls7e_ard_3-1-0_090090_2003-07-20_final
2003-11-12 10:29:45	ga_ls7e_ard_3-1-0_104070_2003-11-12_final
2003-12-12 09:08:15	ga_ls7e_ard_3-1-0_090082_2003-12-11_final
2005-03-16 11:08:49	ga_ls7e_ard_3-1-0_110072_2005-03-16_final
2005-06-04 09:30:09	ga_ls7e_ard_3-1-0_094073_2005-06-04_final
2005-06-20 09:30:03	ga_ls7e_ard_3-1-0_094073_2005-06-20_final
2005-09-12 09:09:46	ga_ls7e_ard_3-1-0_090085_2005-09-11_final
2005-10-26 09:27:30	ga_ls7e_ard_3-1-0_094067_2005-10-25_final
2005-12-10 09:05:43	ga_ls7e_ard_3-1-0_089089_2005-12-09_final
2006-03-19 11:09:12	ga_ls7e_ard_3-1-0_110072_2006-03-19_final
2006-04-19 10:25:02	ga_ls7e_ard_3-1-0_103070_2006-04-19_final
2006-11-14 09:28:09	ga_ls7e_ard_3-1-0_094067_2006-11-13_final
2007-02-18 11:09:33	ga_ls7e_ard_3-1-0_110072_2007-02-18_final
2007-08-14 10:14:44	ga_ls7e_ard_3-1-0_101075_2007-08-14_final
2007-10-16 09:28:01	ga_ls7e_ard_3-1-0_094067_2007-10-15_final
2008-01-24 10:45:56	ga_ls7e_ard_3-1-0_106075_2008-01-24_final
2008-05-20 11:07:41	ga_ls7e_ard_3-1-0_109084_2008-05-20_final
2008-05-30 10:05:48	ga_ls7e_ard_3-1-0_099084_2008-05-30_final
2008-06-12 11:08:53	ga_ls7e_ard_3-1-0_110072_2008-06-12_final
2008-06-16 10:45:19	ga_ls7e_ard_3-1-0_106075_2008-06-16_final
2008-06-28 11:08:43	ga_ls7e_ard_3-1-0_110072_2008-06-28_final
2008-07-18 10:44:57	ga_ls7e_ard_3-1-0_106075_2008-07-18_final
2009-01-15 09:29:44	ga_ls7e_ard_3-1-0_093087_2009-01-14_final
2009-01-31 11:06:17	ga_ls7e_ard_3-1-0_109081_2009-01-31_final
2011-08-08 11:12:32	ga_ls7e_ard_3-1-0_110072_2011-08-08_final
2011-09-25 11:12:21	ga_ls7e_ard_3-1-0_110072_2011-09-25_final
2011-11-12 11:12:39	ga_ls7e_ard_3-1-0_110072_2011-11-12_final
2011-12-11 09:06:41	ga_ls7e_ard_3-1-0_089081_2011-12-10_final
2012-07-09 09:32:56	ga_ls7e_ard_3-1-0_094067_2012-07-09_final
2012-08-03 09:35:00	ga_ls7e_ard_3-1-0_093087_2012-08-03_final
2013-04-07 09:34:16	ga_ls7e_ard_3-1-0_094067_2013-04-07_final
2013-11-01 09:34:18	ga_ls7e_ard_3-1-0_094067_2013-11-01_final
2013-12-19 09:34:33	ga_ls7e_ard_3-1-0_094067_2013-12-19_final
2014-07-08 09:37:33	ga_ls7e_ard_3-1-0_093087_2014-07-08_final
2014-08-16 09:35:53	ga_ls7e_ard_3-1-0_094067_2014-08-16_final
2014-09-01 11:17:56	ga_ls7e_ard_3-1-0_110075_2014-09-01_final
2015-05-24 09:39:29	ga_ls7e_ard_3-1-0_093087_2015-05-24_final
2015-12-25 09:39:32	ga_ls7e_ard_3-1-0_094067_2015-12-25_final
2016-12-11 09:40:42	ga_ls7e_ard_3-1-0_094067_2016-12-11_final
2017-01-16 09:22:50	ga_ls7e_ard_3-1-0_090085_2017-01-15_final
2017-11-12 11:21:43	ga_ls7e_ard_3-1-0_110072_2017-11-12_final
2018-07-26 09:37:10	ga_ls7e_ard_3-1-0_094067_2018-07-26_final
2018-10-30 11:15:59	ga_ls7e_ard_3-1-0_110072_2018-10-30_final
2019-02-19 11:17:36	ga_ls7e_ard_3-1-0_110084_2019-02-19_final
2019-03-20 09:04:54	ga_ls7e_ard_3-1-0_089079_2019-03-19_final
2019-03-24 10:15:44	ga_ls7e_ard_3-1-0_101071_2019-03-24_final
2019-06-20 09:29:28	ga_ls7e_ard_3-1-0_093087_2019-06-19_final
2019-08-23 09:26:55	ga_ls7e_ard_3-1-0_093087_2019-08-22_final
2019-08-24 10:03:45	ga_ls7e_ard_3-1-0_100071_2019-08-24_final
2019-08-24 10:08:32	ga_ls7e_ard_3-1-0_100083_2019-08-24_final
2019-08-30 09:27:12	ga_ls7e_ard_3-1-0_094073_2019-08-29_final
2019-08-31 10:12:01	ga_ls7e_ard_3-1-0_101077_2019-08-31_final
2019-09-04 11:28:00	ga_ls7e_ard_3-1-0_113082_2019-09-04_final
2019-09-11 09:55:48	ga_ls7e_ard_3-1-0_098084_2019-09-11_final
2019-09-18 09:58:52	ga_ls7e_ard_3-1-0_099077_2019-09-18_final
2019-09-26 10:47:09	ga_ls7e_ard_3-1-0_107075_2019-09-26_final
2019-10-10 09:24:27	ga_ls7e_ard_3-1-0_093086_2019-10-09_final
2019-10-12 10:46:54	ga_ls7e_ard_3-1-0_107076_2019-10-12_final
2019-10-29 11:31:26	ga_ls7e_ard_3-1-0_114081_2019-10-29_final
2019-11-14 09:51:25	ga_ls7e_ard_3-1-0_098080_2019-11-14_final
2019-11-22 10:37:41	ga_ls7e_ard_3-1-0_106073_2019-11-22_final
2019-11-28 10:03:31	ga_ls7e_ard_3-1-0_100081_2019-11-28_final
2019-11-29 10:44:44	ga_ls7e_ard_3-1-0_107076_2019-11-29_final
2019-12-16 09:44:41	ga_ls7e_ard_3-1-0_098067_2019-12-16_final
2019-12-16 09:45:05	ga_ls7e_ard_3-1-0_098068_2019-12-16_final
2019-12-23 09:55:41	ga_ls7e_ard_3-1-0_099080_2019-12-23_final
2019-12-24 09:02:01	ga_ls7e_ard_3-1-0_090085_2019-12-23_final
2019-12-24 09:03:12	ga_ls7e_ard_3-1-0_090088_2019-12-23_final
2020-01-05 09:18:55	ga_ls7e_ard_3-1-0_094067_2020-01-04_final
2020-01-06 10:07:43	ga_ls7e_ard_3-1-0_101081_2020-01-06_final
2020-01-09 10:34:04	ga_ls7e_ard_3-1-0_106070_2020-01-09_final
2020-01-11 10:21:37	ga_ls7e_ard_3-1-0_104070_2020-01-11_final
2020-01-24 09:55:16	ga_ls7e_ard_3-1-0_099083_2020-01-24_final
2020-01-25 09:00:47	ga_ls7e_ard_3-1-0_090086_2020-01-24_final
2020-02-03 08:50:58	ga_ls7e_ard_3-1-0_089078_2020-02-02_final
2020-02-06 09:17:19	ga_ls7e_ard_3-1-0_094067_2020-02-05_final
2020-02-06 11:02:35	ga_ls7e_ard_3-1-0_110083_2020-02-06_final
2020-02-07 10:06:55	ga_ls7e_ard_3-1-0_101083_2020-02-07_final
2020-02-11 09:36:48	ga_ls7e_ard_3-1-0_097070_2020-02-11_final
2020-02-11 09:38:00	ga_ls7e_ard_3-1-0_097073_2020-02-11_final
2020-02-18 09:42:13	ga_ls7e_ard_3-1-0_098069_2020-02-18_final
2020-02-18 09:43:01	ga_ls7e_ard_3-1-0_098071_2020-02-18_final
2020-03-03 09:54:38	ga_ls7e_ard_3-1-0_100071_2020-03-03_final
2020-03-04 10:39:26	ga_ls7e_ard_3-1-0_107075_2020-03-04_final
2020-03-05 09:45:21	ga_ls7e_ard_3-1-0_098079_2020-03-05_final
2020-03-14 11:12:47	ga_ls7e_ard_3-1-0_113067_2020-03-14_final
2020-03-14 11:15:34	ga_ls7e_ard_3-1-0_113074_2020-03-14_final
2020-03-24 10:12:25	ga_ls7e_ard_3-1-0_103072_2020-03-24_final
2020-03-24 10:15:37	ga_ls7e_ard_3-1-0_103080_2020-03-24_final
2020-03-24 10:16:25	ga_ls7e_ard_3-1-0_103082_2020-03-24_final
2020-04-06 11:20:28	ga_ls7e_ard_3-1-0_114074_2020-04-06_final
2020-04-10 10:57:54	ga_ls7e_ard_3-1-0_110080_2020-04-10_final
2020-04-14 08:58:04	ga_ls7e_ard_3-1-0_090090_2020-04-13_final
2020-04-15 11:13:46	ga_ls7e_ard_3-1-0_113074_2020-04-15_final
2020-04-22 11:21:56	ga_ls7e_ard_3-1-0_114080_2020-04-22_final
2020-04-29 09:44:01	ga_ls7e_ard_3-1-0_099068_2020-04-29_final
2020-04-29 09:45:13	ga_ls7e_ard_3-1-0_099071_2020-04-29_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